It’s inspired by tile placement board games like Patchwork and crosswords. You rotate and move tiles to rebuild a broken crossword.
It’s free, web based, and responsive.
I currently have several hundred daily players and growing. My wife and I create the puzzles and I’m continuing to fix bugs and add new features.
I just launched a ”community puzzle” feature to let players help build new puzzles.
I’d love to know what you think!
I do a lot of NYT puzzle stuff every day and some other random puzzle sites before I get out of bed. That said, I'm over 40, love puzzles, love complicated board games, went through your brief explainer, and could not get a sensible handle on how to even start this thing. A new player has to really care about how to even try to begin to figure out whatever this is. I gave it about 20 seconds after the "how does it work?" Honestly, I gave up. I'm really not trying to rain on your parade. You might find a niche audience, and it'll be what you're going for, but I think you need a much, much better rules explainer if you want to be even remotely in the vicinity of a Wordle-level banger.
This thing might be really awesome, but not being able to figure out how to use it is a hard out for me.
I’m curious if there were specific aspects you struggled with or if the whole thing was confusing?
Did you try the Practice Puzzle or jump right into the daily?
Practice puzzle: https://tiledwords.com/puzzles/practice
It sounds like you read the instructions but they weren’t enough. Maybe a video explainer would be better? Does the gameplay recording on this Reddit post help at all?
https://www.reddit.com/r/DestroyMyGame/comments/1osxb2q/i_re...
People really seem to like it once it clicks (Over 1100 people have finished the daily puzzle so far today) but there is a steep learning curve and I’d love to learn how to help people get past that initial hump.
- Add an optional video explainer on the How To Play screen
- Redesign How to Play to push you towards the practice puzzle more strongly
- Add more practice puzzles that ramp up in difficulty
I want to explore a future feature where dropping a tile “pushes” other tiles out of the way that will hopefully make it feel less cramped
i wonder if have the clues point to a starting square (e.g., "E5") would be better than the current "reveal" aid. The spatial information would become more helpful toward the end when the player is dealing with the words they need help on.
I like that clue idea! I want to change how the reveals work. I’ll play with that!
Generating a custom sharing image is interesting!
(She finished today's puzzle, and I gave up.) From a UI perspective it is very slick - very smooth, and I like how it kind of "gets" what you were trying to do when providing corrections/hints.
there's a type of crossword called "diagramless" where you have the numbered clues and an empty grid
there was one in NYTimes Magazine Sunday puzzle page this past weekend
A more meta tip is if you make multiple games, try to have some genre or theme overlap so you can build a community among players of your games. I wish I had done this more with my more successful games (which are mobile games, not web games, but the same idea applies).
The game design is really good too. It has just the right amount of juice.
I found the instruction about double tapping a little confusing at first but figured it out as I played.
Nice work!
I solved the first puzzle: -Congratulations! -You solved Paprika with 18 slabs
But this was unclear: -You've solved 0 puzzles! -Reveal Rule -Next Puzzle -View Archive -You still have 2 guesses left. Finish guessing before revealing the rule if you're feeling brave!
I have to do 2 more guesses before I can reveal the rule that I already figured out?
Getting any of the guesses right counts as a win, and you get different guessing slabs for each guess (this latter part isn't made at all clear upfront).
If you have a rule in your head like "no red", but the true rule is "no red or orange", it's possible that on the guessing slabs those two rules evaluate to the same things (e.g. there weren't any oranges present in the guessing slabs). You could then try the rest of the guessing slabs, which might have an example where you get it wrong, giving more gameplay.
I wanted to give a victory on any subset of 5 slabs guessed successfully since trying to get all the guesses is very hard (especially the first guess on many puzzles), and you can get new information from guesses which fail, which offers some progression. Hence getting "you won" and the ability to reveal the rule (I've also thought about keeping the reveal unavailable until you do all guesses) and the invitation to keep playing.
If you have a minute I'd love to hear from you if that makes sense and if you have thoughts about what might make more sense. I've also tried to consider ways of restructuring the gameplay, e.g. automatically progressing to the next set of guessing slabs, such that the flow here is less confusing.
Thanks for playing, and for sharing!
Maybe just simply state it?
E.g, instead of “you solved paprika”:
“You got 5 slabs right; 10 more to prove you really solved the rule”
(Being better versed in making games than I am, you can likely come up with more enticing prose)
This game was Show HNed two times in ten days, [1][2], but unfortunately, it didn't get as much attention as it should! Ironically, this current thread has already gained almost double the comments from both submissions combined!
I whish you best of luck to succeed in your journey.
___________________
Yeah I felt odd reposting the Show HN but I thought that the HN crowd would enjoy the game if a post got traction
On large screens adding more space would be a big quality of life improvement.
But it doesn’t really work on smaller screens.
So far I’ve tried to keep the experience as similar as possible across devices but maybe that’s silly
As a non native it feels awesome to finish a puzzle like this haha
How do you market it – now or planning to, if I may ask?
I showcased at the Portland Retro Gaming Expo with the Portland Indie Game squad and that got me some players. I also shared it on my various personal social medias. The neighborhood board game store let me put up a poster!
I’m also hoping that organic sharing will drive growth.
This HN comment has been some of my most successful marketing so far. Around 2400 people from HN have visited since I posted!
I hope you make a success of this and sell it to the NYT for a disgusting amount of money.
This is a classic HN comment but I’d love a Thursday/Friday crossword difficulty equivalent in addition to the dailies which are a ~Monday.
I was getting a little bored of retrocomputing discourse being so centered on gaming, so I'm exploring the productivity software of the 8/16-bit era. I put real effort into learning and using the programs, giving my light-hearted but heartfelt assessment of its form and function for both its time and today.
Using the software inevitably gets me thinking about other things, and I explore those threads as well. For example, "Superbase on the C64" also discusses the legacy and promise of "the paperless office." A couple of other posts got some nice traction here on HN, notably "Deluxe Paint on the Amiga" and "VisiCalc on the Apple 2".
I'm hoping to build a strong monthly readership, so I'm putting in the work. It's been up for two months and five posts now, with a new one coming at the end of this week.
So, my impression is that, for a while, things started getting simpler by having WYSIWYG editors and multiple things running at the same time in windows, but as the processing power and memory started improving, instead of making things easier and better, we (as people) started just adding more features and other things that they just made things more complicated than they should be.
Well, with all that, I wish success for you!
PS: It would be great if you had RSS support on your website.
> There is utility in those old tools and interesting ideas to be mined. Recently I stumbled across something that by all accounts should have set the world on fire, but whose ideas needed more time to germinate before blossoming much later. Discoveries like this are not just nostalgic “what ifs” to opine wistfully upon, they can be dormant seeds of the future.
> Computing moves at such an unrelenting pace, those seeds may lie dormant for any number of reasons: bad marketing, released on a dying platform, too expensive, or even too large a mental leap for the public to “get” at the time. I see this blog as a way to explore the history of the work tools we use every day. I don’t do this out of misty-eyed sentimentality, but rather pragmatic curiosity. The past isn’t sacred, but it is still useful.
What's your research process? Do you use lots of Internet Archive material? Do you reference any personal artifacts i.e. old hardware or documentation laying around? Any interviewing?
My first job out of college was with a tiny, now-defunct company that built simple I/O hardware for 8-bit systems. One of the "side products" was a MacPaint clone for the Radio Shack Color Computer II called CoCoMax. We didn't write it: AFAIK, the programmer for the original version contacted the company and asked if they wanted to buy it and pay him royalties. He later went off and built an even more successful product used in TV stations called the Video Toaster. Side product or not, CoCoMax was a cash cow!
On the heels of that success, another programmer who'd written a more advanced version for the Color Computer 3 offered the same deal. From what I recall, they both made buttloads of money from their royalties.
Sometimes I wish I had kept some of that old hardware & software, but it's long gone.
I got word in the Ghost forums that there may also be an RSS feed bug, which I'll look into and see if that applies to this case.
RSS is a bit of a pain as most feed readers will accept malformed XML (unlike Atom feeds). Hence you end up with a lot of malformed XML.
Having said that it mostly looks valid:
https://validator.w3.org/feed/check.cgi?url=https%3A%2F%2Fst...
https://www.inclusivecolors.com/
The interface is optimized to let you quickly explore and tweak multiple tints/shades at once so you can customize all colors exactly how you want e.g. try dragging vertically through the saturation curve in one motion to edit all the tints/shades at once, or shift whole curves horizontally by dragging between the dots on a curve.
It uses the HSLuv color space, where (unlike say HSL) the WCAG contrast stays the same when you change the hue and saturation sliders. This makes it much easier to explore accessible colors choices as you know only changes to the lightness slider will impact the contrast. You can also switch from the WCAG2 contrast checker to using APCA, which is meant to correct for inaccuracies in WCAG2, such as it being too forgiving for dark mode color combos.
Note the mobile version is more of a preview and the desktop version has more features.
I probably need to add something like a tutorial as there's a lot going on, but I've added more hints and tooltips recently. Open to feedback on what's initially confusing and what changes might help!
I'd also keen to hear from people who are interested in accessibility but don't know much about it too. I've tried to explain the WCAG contrast rules in the simplest way I can (interactively, via the live mockup example on the right and contrast indicator icons that appear on the left) but there's quite a lot to cover.
It's still a small closed alpha, if anyone is interested: https://testers.birdlego.com
Here is a rough trailer of it: https://www.youtube.com/watch?v=yVpR8aafFjI
When Romania announced that the Lesser Kestrel had returned after 100 years iNaturalist actually had several of the observations in the nearby area. [2]
[1] https://www.inaturalist.org/observations?subview=map&taxon_i...
[2] https://www.inaturalist.org/observations?subview=map&taxon_i...
It’s basically a gamified version of Merlin. Would love any and all feedback!
Birdle Go seems really cool, very impressed and would love to test that!
LISTERS: A Glimpse Into Extreme Birdwatching
https://youtube.com/watch?v=zl-wAqplQAo
1.9m view | 2mo ago | 2hr long (buckle in, documentary by a couple young goofball brothers)
- No sign-up, works entirely in-browser
- Live PDF preview + instant download
- VAT EU support
- Shareable invoice links
- Multi-language (10+) & multi-currency
- Multiple templates (incl. Stripe-style)
- Mobile-friendly
GitHub: https://github.com/VladSez/easy-invoice-pdf
Would love feedback, contributions, or ideas for other templates/features.
PS: e-invoice support coming soon
No signups, free for all, browser-only, live pdfs, etc
Built it for a friend and decided to share with all, it's just a react app (no backend) running on GCP and costs almost nothing to run.
Didn't think about opensourcing it and I will, why not.
Only thing I would suggest is, to support different tax formats (or provide an ability to fill custom tax format name that applies to the whole invoice). Right now, it is largely VAT. In some countries, it may not be relevant.
(Having said that, as a work around, currently anyone can use Notes field to fill custom tax details and hide all VAT related fields.)
UPD: Created an issue to investigate
I think by this point everyone that is learning a language knows that immersion is very important, however a problem I've had myself is that the content that interests me is beyond my reach, and the content that is within reach doesn't interest me.
This is my attempt at doing something to remediate that. You select the content you want, and I create a personalized study plan to learn the most important words to achieve a target % of understanding. Then I generate a short story each week for your particular level containing the new words in the context of your content.
The idea is to bring the content you want to learn to your level so you can watch what you want to watch.
I'm making Easel, a 2D game programming language designed to match how humans, not computers, think about game logic. It also has automatic multiplayer. I've been working on it for 3 years!
Easel feels like a declarative programming language even though it is imperative, because lots of useful game-oriented features are first class. Like behaviours - you just say `on Pointer { ... }` and you have a concurrently-executing coroutine that's lifetime is managed. But you don't think about any of that complexity, you just think of your entity as having a behaviour and go forth and make your game.
It also happens to have automatic multiplayer. Normally with multiplayer you have to worry about doing everything in a "multiplayer safe" way (i.e. be deterministic and only modify the things your side has authority over). My idea was to put all the multiplayer stuff in the programming language itself, underneath all your lines of code. This way, anything you write in that programming language can just be made multiplayer, automatically. So you can just pretend all your players are in one shared world, like a singleplayer game, and the engine does all the multiplayer for you. It was really difficult to make but it makes multiplayer so easy for you now.
Easel is my idea of how games should be made, or at least as close to the idea as I can achieve with 3 years of work, and I would love for more people to try it out.
But how does this really work? The website also says it's just baked into the language but there are many different approaches to networking games that have their own pros and cons.
To be able to roll back, Easel incrementally snapshots the game state every tick. It only snapshots (and restores) what has changed, which makes it a lot more efficient than most rollback netcode implementations.
It also uses a peer-to-peer relay and adapts the latency asymmetrically, so the player who introduces latency feels their own latency.
I know there are other models and pros and cons, this is the right choice for Easel because I wanted to make the multiplayer fully automatic. One shared world, coded like a singleplayer game. There are certainly games which suit a client/server model better but I think the developer would then need to understand where their code is running and when to do remote procedure calls, and my goal was to make multiplayer so easy that even a teenager on their first day of coding could do it.
It might be a good idea to highlight some of the limitations to this approach somewhere so users aren't caught off guard later in the development process. For example, it wouldn't be great to build a competitive FPS or MOBA with this because the game state is replicated to all players which is a cheaters dream. The latency characteristics would also not be ideal for games with a larger number of players. I also assume there are no escape hatches for doing any non-deterministic things like I/O so there would be limited to no persistence possible. It won't be an issue for most games but worth highlighting just in case IMO.
Persistence is actually handled by the server, and then the server inserts an input back into the game state with the result when it's done. So, no issue with I/O.
I see Factorio is doing deterministic lockstep, which like rollback netcode but without the rollback. That makes sense seeing as it is a game with a lot of state and so it would be too expensive to snapshot and rollback all the time. But yes, I think having a game engine which guarantees determinism in all cases could be a useful base for other multiplayer architectures too. Right now Easel only does rollback but maybe it could do more in the future.
I tried doing something much more rudimentary before. Will be following
I would love to hear more about what you were trying to do with your project before. Was it more similar to the declarative coding part, the automatic multiplayer part, or something else? Part of why I'm doing this is to explore the design space of how games should be made and I'm interested to hear what problems, issues, pet peeves, "bugbears" etc that other people think are worth solving.
It was messy. I ended up having NPC, Item, Attack classes and for each a NPC Manager, Item Manager, and Attack Manager to calculate all their interactions and states.
That's why your project seems interesting because it seems to handle the heavy lifting of behaviors and "behind the scenes".
Is the ID computed based on the shape of the expression at runtime or on something else?
Great documentation, by the by!
for i in RangeInclusive(1, 10) { TextSprite(i) }
Yes, you found the right place in the documentation. Thanks, yes I worked very hard on the documentation!
The IDs are assigned at compile time by the Easel compiler. So they don’t change in any way at runtime. Does that answer your question?
I've actually gone with a 100% declarative approach. Basically you define effects, which are executed in response to certain interactions. There's a comprehensive targeting system. But the best part is this is all type-safe using TypeScript, the declarative structure is enforced. That means even when you chain effects, nested effects are able to access (incl. autocomplete) the targets of parent effects etc. Whilst this provides a super nice experience to consume, it's definitely non-trivial to build this system.
https://github.com/scallyw4g/bonsai
I recently ported the terrain generators to the GPU, and increased the visible volume to 1 billion voxels cubed. I did a short YouTube video about it.
https://www.youtube.com/watch?v=bLfgjWsM1PI
I also wrote a metaprogramming language which generates a lot of the editor UI for the engine. It's a bespoke C parser that supports a small subset of C++, which is exposed to the user through a 'scripting-like' language you embed directly in your source files. I wrote it as a replacement for C++ templates and in my completely unbiased opinion it is WAY better.
Stoked to have another user!
> What was the hardest part of this project?
Fuck.. that's a hard question. I'm almost always trying to push at least one of three boundaries; voxel engine techniques, engine performance, my mechanical programming skill. Trying to push those boundaries, often in tandem or tridem, is always hard. Different jobs are often hard for different reasons, but overall it's been a difficult project for most of it's existence. That said, doing hard projects is what I enjoy, and it's a great feeling when you sit down to, for example, optimize something, and end up making it 20x faster!
> What motivated you to attempt creating this?
It started out as a learning exercise; a safe space where I could just 'fuck around and find out'. When I started, I never expected to spend nearly as much time on it as I have.
But I'm hoping to have it out by the first week of December.
It's an explorable database of films, TV shows, books and board games based around their historical setting: where and when the thing is set. It's been incredibly complex and interesting getting the (messy) data, making sense of it and trying to design a UI to explore it.
https://stevebennett.me/2025/08/26/whenever-exploring-times-...
FinBodhi uses double entry so complicated set of transactions and accounts can be modeled (which happen often enough in users financial journey). We wrote about double-entry here: https://finbodhi.com/docs/understanding-double-entry
We do use online services like firebase for auth, and some service to fetch commodity prices etc. But all your financial data is on your system (we use sqlite over opfs, in browser). For synching across devices, that data is encrypted with your key before it leaves your device. You can backup the data locally (if you are using chrome) and/or to your dropbox. It's designed so that we (the people building it) can't access your data.
There are many more features, like multi-currency, visualizations, a sheet to use your data to do complex calculations like taxes, planning for your future etc.
Feel free to try it out with the demo account (no sign-in required). Note: app doesn't work in Firefox private mode.
There are a few custom importers also, for indian context.
It’s exactly the product I wish I had when I started my previous company. Running on PaaS is incredible for devex but the pricing is bonkers, and the vendor lock in makes it really hard to deal with annual price increases. We spent close to 400k / year for just 128GB combined fleet in our last startup on Heroku.
Canine tries to get the best of both worlds: developer friendly PaaS with no lockin or price gouging.
Just added build packs as a build option recently.
Also got a sponsorship from the portainer folks which lets me work on this close to full time
Hoping this saves someone the headache I had two years ago.
- Currently in free Early Access with 18 competitive mini-games.
- Players use their mobile phones as controllers (you can use game pads as well!)
- Everything is completely web-based, no downloads or installs necessary to play
- The games are all action based, with quick ~one minute rounds to keep a good pace. This means there are no language based trivia games!
- In the future we plan to open up the platform for 3rd party developers as well. We take care of the network connectivity, controllers etc.. 3rd party devs can focus on developing cool multiplayer mini-games without spending an eternity with networking coded and infrastructure.
Would love any feedback you might have!
I tried this in 2014 with happyfuntimes
https://docs.happyfuntimes.net/
My conclusion was, past a certain number of people no one wants to game
Around the same time was AirConsole and still available
I know AirConsole also struggled quite a lot in the beginning and now in the end they ended up in car entertainment as KPIT bought the whole company. So they don't focus on web/living-room gaming any more
They were also very recently acquired by an Indian car software manufacturer (KPIT) and no longer focus on web or living-room gaming.
My favorite so far is: "The Anti-AI UI Test".
After ChatGPT Atlas came out I thought it would be fun to find UI patterns that AI browsers couldn't figure out like multiple download buttons, hidden unsubscribe buttons, etc. So I created 7 levels of web dark patterns for AI browsers. You can try it yourself if you want:
https://codinhood.com/anti-ai-ui
I found Atlas can get through most patterns, so I created an even more unhinged one (job application form) that shifts the interface and flashes content.
Don't take it too seriously as actually testing AI browsers, it just a fun side project. I documented the patterns here: https://codinhood.com/anti-ai-ui/about
It's very interesting because the Ruby codebase uses a `typedef uintptr_t VALUE` type to mean any of the following:
- A pointer to the heap
- A Ruby tagged value (which may be a pointer to the heap)
- Any integer value that fits in `uintptr_t`
Fil-C doesn't allow you to carry around pointers using integers, in the sense that when you do that, the pointers lose their capabilities.
But in Ruby's case, it's not as simple as changing the typedef to a pointer type, since `VALUE` variables often end up being used for integer math (including bit math, shifts, etc).
So, it's going to take a nontrivial patch to Ruby to get it to work in Fil-C. I think I'm about 70% of the way through (I started Friday afternoon).
I wouldn't worry about it too much though - almost all of the people I know with finger injuries were trying to push into really being competitive climbers, not just doing it casually for fun/fitness.
Oh also to keep from tearing your skin don't climb tired. (That won't keep you from typing, it's just painful.)
I never had a serious injury. Instead it would be minor injuries, that would make my ring finger 20% less responsive, that would totally mess up my typing cadence.
I tried capoeira, a non-contact martial art, for a while. This wasn’t as good for me as Taekwondo.
A few of my recent favorites: - swim lap counter in html/JS that uses the camera to watch you swim and count laps/timing - video recorder that records your window/desktop and uploads a file to S3 - video conferencing app that allows a 2 year to click on a family member face and initiates a video conference using webRTC, STUN, and browser audio/video capture with automatic bandwidth adjustments (works on all platforms with pure HTML/JS). - CUDA based ray tracer with HTML UI that can trace over 2m rays per second on my laptop for scientific study, allowing real-time display of optical parts. - chat front-end for image models like gemini-pro and openai that take other images and text as references and generate a big library of options to chose from in seconds, I've been using photoshop for decades but I tend to use this more now.
I'm curious if you mean they're running a raytracer on the back end, and you interact with an HTML UI, or if it runs browserside, maybe via WASM. AFAIK CUDA isn't directly compilable to WASM (yet?)
One project I did publish: https://github.com/jclarkcom/ble_proxy This turns your cell phone into a network proxy, but using BLE so the phone can be connected to a Wifi network (hotel, plane, etc). It's pretty slow, but in some cases you just need a little bit of data to work. I made it on a plane ride where my cellphone had data but my laptop didn't.
Very cool! Love little things like this.
It has been a super fun experience so far - I'm using CPLDs instead of an FPGA which makes the logic a bit more era period. I have a working system now with the math coprocessor, SRAM, DRAM, and other device support.
I am just about ready to get the VGA card I designed produced so I can work on debugging the design.
While this is fundamentally a system that ss less powerful than my apple watch, it is just fun to work on. Going back to very first principles debugging, building tools, and of course getting to exercise an old logic analyzer!
So I've been building something with no imported libraries or dependencies: a card game that gamifies Maslow's hierarchy of needs: https://gamefound.com/en/projects/nicomar/actualize-this
Each player drafts cards that represent ways you can spend your limited time on earth to gather resources (wisdom, gold, and virtue) to complete your own personal player board (your hierarchy of needs) with the goal of reaching self-actualization before other players. However, you can still win without becoming self-actualized, if you complete more hidden quests (which can only be discarded by the "therapy session" card).
My one comment would be, I think you need to change the branding a little bit. It's a bit too close to Magic the Gathering, and this feels like its own IP and can stand on its own legs. So I think you need to just adjust the cards enough so they don't instantly read as a Magic the Gathering card.
It looks inside each file to see what it’s about, then moves it to the right folder with a single click. Everything happens on your Mac, so nothing leaves your computer. No clouds, no servers.
It already works with images, Office (Word, Excel, PowerPoint) PDFs, ePubs, text, Markdown, and many other file types (30+) in English. Next I’m adding multi-language support.
If you have messy folders anywhere on your Mac, Floxtop can help.
Try it for free - requires macOS 14+ with Apple Silicon: https://github.com/taranntell/fallinorg/releases/download/1....
Just for clarity, it looks like image content itself isn't addressed, but rather just any text that might be in an image, correct?
Also: "Your sensitive data never leaves your Mac." Does anything leave the mac? Any metrics? I don't want this to have network capabilities at all.
Regarding privacy: everything runs locally on your Mac. No files or metadata are uploaded anywhere. The only network request is from Sparkle to check for updates. If you prefer, you can disable update checks and Floxtop will have zero network activity.
If you have questions or want to share feedback, you can reach me anytime at floxtop@proton.me.
This is already useful. If you do wind up adding image classification, first, I'd like it distinguish photos, screenshots, and graphics. Then, I'd like broad categories, like people, places, animals, memes, etc. Base case is I want sort out my downloads since I generally download something and then not bother putting it where it belongs or deleting it.
It would also be handy if, in addition to moving the items, it could tag them via Finder tags/xattrs.
If you want to stay updated when these features are ready, feel free to subscribe to the newsletter.
Maybe it's a story about named local fishermen from the early 1900s, with pictures, the history of a statue and videos of the process, or the state of a graffiti wall over time.
Currently in a phase of UI development and testing, and historical societies outreach for collaboration. It might stall and just fizzle into nothing, or it might be something cool.
Also still doing https://wheretodrink.beer, but haven't added anything of note since playing on this other project.
https://autio.com/ is similar - but obviously not open source, and more limited.
It seems like it could even tailor itself to what an individual user is interested in, and with AI - could turn more "dry" encyclopedia-type information into more compelling narratives. With some kind of route planning software, you could even pre-plan your trips ahead of time and select the things you're interested in.
Obviously not what you're building, but something related that's been clunking around in the back of my head for a while.
When you say open source is it so you could self host it, use your "own" models, and curate your own datasets? or some other reasons? I could see a future where a lot of the project could potentially be open sourced and work with any defined geojson API.
I meant community-sourced. Some kind of community where local "experts" or history enthusiasts could contribute info.
AKA - invite a local or regional historical society to contribute data for their region, with the benefit that they could then easily generate a regional tour map/route/recommendation.
[1] https://smartmap.ai [2] https://github.com/space0blaster/smartmap
After being downsized twice in two years from senior engineering roles, I realized how painful it is to reconstruct what you actually accomplished at a job once you’ve lost access to your repos.
Each time, I had to dig through memory and scraps of old PRs to remember what I’d built. The first time, I lost GitHub access immediately after the layoff notice. This time, at least we got 90 days of paid transition work. But even with just 5 months in the role, I’d already made hundreds of commits. For engineers who’ve been around for years, that’s an impossible amount of history to summarize manually.
So I’m building CommitKit, a command-line tool that scans your repo for your commits, groups them by feature or theme using embeddings, and generates professional CV bullet points or behavioral interview summaries. It runs locally using Ollama, so your commit messages and diffs never leave your machine. The goal is to help people quickly turn real engineering work into clear narratives of impact, especially when time or access is limited.
It’s still early: the clustering isn’t grouping commits quite as I’d hoped, possibly due to sparse commit messages or embedding quirks. But it’s been a great learning project: my first CLI tool, my first deployment on Render, and my first serious use of Ollama for local LLM inference.
* Disk images
* Liveboot isos
* Container images (docker/podman)
Many build products are supported, with more on the way:
https://chrivers.github.io/raptor/builders/index.html#compat...
It uses a syntax that is inspired by Docker, but significantly enhanced.
Take a look at:
* The project: https://github.com/chrivers/raptor/
* The book: https://chrivers.github.io/raptor/
The code is at https://github.com/matthiasgoergens/git-snap-fs
The original was in Python and actually had a decent excuse for existing for a very specific problem at work a few years ago. The new version is in Rust and exists just for fun.
This was also a small experiment in coding with OpenAI's codex. I wrote the Python original by hand---like a caveman. Codex was mostly ok at the actual code, especially once I told it to make `cargo clippy` happy, but it needed lots of help with the design. It kept insisting on extra complications and state.
But perhaps I'm a bit unfair here, because I only figured out the nice and simple design after reflecting on the connection between Linux's fuse and git's design for a while when writing the original. So it's only fair that the computer would also need some help to see how to match them up nicely.
Previously they just saved it in a (Windows) Shared Folder and it automatically showed up in the test cluster. No version control, no nothing.
The test cluster had actually grown to a few thousand machines or so. Running Shared Folders over that was crazy, and no version control was crazy, too.
In addition, they expected to be able to write output files next to the source files, and expected them to show up to be used by the other machines.
We were trying to help them migrate to something saner. We could convince them to not intermix source code and output files, but as part of that bargain otherwise they wanted everything to look as similar as possible to before, but still support some git-goodness we have promised.
To make matters worse, they had checked in some rather large files into their repository. Like Gigabytes, and lots of them.
As before, we wanted to support running multiple processes at the same time, but this time on different versions. As a joke I suggested to 'just mount' the git repository directly (that we constantly pull to every computer in the cluster), but my boss thought it was a grand idea, thus the tool.
An additional nicety: under the hood 'git stash' consists of two phases, the first phase make something like a commit from what you have lying around in your repo, the second phase cleans up what you have lying around. If you use libgit2 (or a similar library) you can use just the first phase to get something like a commit, and send that to the server to execute, while changing nothing on the quant's machine, and not forcing them to explicitly make a commit nor polluting their git history.
One saner alternative would have been to just make a checkout for each run. But naively that would have taken more storage space than we had, thanks to those big files. Alternatively, we could have done some sharing for running the same version. But that would have involved some reference counting etc and cleaning up.
So my suggestion was to 'just let the kernel caches handle it'.
In the end, the prototype was useful to get the quants to get along with what we did. And luckily for our sanity, we could soon convince the quants to store those large files somewhere else, and not in the repository along with the code. That restored our sanity, and we could move to a more conventional scheme.
The working life of the tool was blessedly short, but it played an important role in getting the quants to move along in their journey to using version control. Though even though on paper it might have looked like an abortive and wasted effort, in terms of business value it was very successful.
I love the quants. They are very technical and very smart and effectively write software all day every day, but they don't see themselves as software engineers, and they aren't.
I recreated it just for fun, because I like the connection between git and how filesystems work. You can really tell that Linus Torvalds, the original author and designer of git is an operating systems guy.
A simple iOS app for scanning (almost any) barcode and storing in the app, or adding it to your home via a widget. No tracking, no subscriptions, just a simple free app that is pretty simple to use and does the one thing I want it to do.
Building my own software has been super refreshing compared to working within a large organization. I really enjoy the path of just developing and it is fun to get into something different than React/TypeScript and Java. It was also really interesting to go through the process of publishing the app in the Apple App Store. Heard so many bad stories, but it was OK. Definitely not great, but not as bad as I was expecting.
Two learnings from this so far:
1. I do not think that I would want to do any Swift development in a large organization. Super fun to build indie style, but I can't imagine having to support 5+ years of old iOS versions. 2. I ditched most social media a long time ago and if you do not have any personal promotion channel, you are super limited into reaching any potential users for your software. I still do not know how to deal with this; I do not have any ambition to go back into building a social following. I just like building the "thing", but just building it is definitely not enough to get any traction.
For the current project I am building another iOS app, a bit more complex, also something I want to use myself. I was considering building with React Native, but ditched that plan because when I am building for myself, there would (I think) be a lot of overhead in testing Android.
For now I really like what I am doing, but financially I think I should consider going back to Java/Scala or React dev for a corporate client :-|.
Speed is not an optional feature on the web. The site above is written in Firefly, uses hydration, and scores 100% on PageSpeed Insights.
The language is largely complete, and we're now working on DX: Got a language server, a devserver, and some essential libraries.
In general I prefer a better language over an involved javascript framework that does not look like js anymore.
In any case, if you take it for a spin, I'd love some feedback.
My friend had a cute baby boy and mentioned difficulty in finding children's storybooks in Spanish.
Challenge accepted:
I built an AI generated multilingual storybook, just to see if it would work.
Tap or click the little monster to have it read to you.
Local LLM generated the story, stable-diffusion generated the images, AI converted text to speech in two languages: English and Spanish ( could easily do many more languages ).
I "filled the app out" by adding a simple landing page placeholder, login page and "library" page.
Not very phone friendly, was made for her iPad.
Just click login to move on, as it is currently not connected to a backend.Only the second book currently has a story, the others are placeholder templates.
Bedtime Bulb v2[0]: A massive improvement over our original Bedtime Bulb, a light bulb meant for use in the evening to reduce blue light. The headline feature is the re-introduction of infrared, which was removed from lighting to make it more efficient, but emerging research suggest it's beneficial for health. After a long wait, this is shipping in 2 weeks!
Atmos Bedside Lamp[1]: A fully automated circadian lamp that automatically shifts in color and brightness throughout the day, helping you prepare for sleep and wake up more naturally. Working on some machine learning features that mimic the functionality of the Nest Learning Thermostat, but for lighting. The first units are shipping by Christmas.
Circadian Mode for Philips Hue[2]: A web app that gives your Philips Hue lights circadian powers, so that they gradually shift from bright light during the day to dim, low-blue light at night. It's way more powerful and easier to use than first- and third-party options from Hue, Apple, and Home Assistant. Just launched this week; looking for beta testers to give feedback!
[0] https://restfullighting.com/products/bedtime-bulb-v2-preorde...
[1] https://restfullighting.com/products/restful-atmos-preorder
[2] https://restfullighting.com/pages/circadian-mode-for-philips...
Hope to document 100 ideas. Wish me luck.
So I'm building a distributed AI inference platform where you can run models on your own hardware and access it from anywhere privately. Keep your data on infrastructure you control, but also leverage a credit system to tap into more powerful compute when you need it. Your idle GPU time can earn credits for accessing bigger models. The goal is making it dead simple to use your home hardware from wherever you're working.
It's for anyone who wants infrastructure optionality: developers who don't want vendor lock-in, businesses with compliance requirements, or just people who don't want their data sent to third parties.
Get notified when we launch: https://sporeintel.com
https://www.youtube.com/watch?v=2jmWnPfgtik
[End] --- for the visuals, reflect on the lyrics... think about AI learning more about how its thinking interacts with manifolds...
⎿ Claude usage limit reached. Your limit will reset at 3pm.
/upgrade to increase your usage limit.
> now let's continueTrying to fix this problem with Eternal Vault.
Link: https://eternalvault.app
Another thing thats in early alpha right now is CapKit, AI professional captions for short form videos
https://www.linkedin.com/posts/danielkrol_openstreetmap-acti...
All of the street and satellite tiles are thanks to maps.black. The search uses Nominatim's sqlite3 mode. I was told that it's experimental only because it hasn't been tried in production yet, so I'm sort of testing it in the process. So far I'm only doing administrative boundaries and natural features, but so far so good! I'm going to slowly add a few more types of POIs, I just don't want the database file to get too big.
Note that Internet in a Box has an OSM offering already, but the data is five years old and the tech makes it harder to update. As of today, there are much easier options on the table, and we get cool stuff like 3d buildings. Also, the search was much more limited.
* https://internet-in-a-box.org/
* https://nominatim.org/release-docs/latest/customize/SQLite/
Turns out not that hard.
In about a weekend, I built a UETA and ESIGN compliant tool. And it was free. And it cost me less than $50. Unlimited free e-sign. https://useinkless.com/
I’ve been obsessed with how people actually make travel decisions — not how platforms think they do. From a consumer’s standpoint, travel isn’t just “search → compare → book.” It’s emotional, contextual, and full of FOMO.
You open 20 tabs across Booking, Google Maps, Reddit, and Instagram trying to answer simple questions like: Is this the right area? Is this hotel actually good? Am I missing a better deal somewhere else?
Most existing tools either oversimplify (like ChatGPT giving three confident but unverifiable answers) or hide information behind algorithms and commissions (like OTAs). Both remove choice — and ironically, make people less confident.
I’m building SearchSpot, a “Cursor for travel.” It automatically does what power travelers already do manually — cross-check reviews, verify real photos, compare prices across platforms — and then shows its reasoning transparently so you understand why something was recommended or excluded.
The goal isn’t to replace your decisions, but to help you close your tabs with confidence. From FOMO to flow. From chaos to clarity.
If you’ve ever spent hours researching a trip just to end up more confused, I’d love your thoughts: https://searchspot.ai/home
Not related to the thread, but if anyone is looking to hire a developer or knows of opportunities, I was recently let go and am actively searching. Any leads or feedback would be greatly appreciated.
Sample PDF: https://drive.google.com/file/d/1n7M1TKOptSsYiibrbvV_Yojx53T...
She can also join your google meet or teams meetings, share her screen and then everyone in the meeting can ask questions and see live results. Currently being used by product managers and executives for mainly analytics and data science use cases.
We plan to open-source it soon if there is demand. Very fast voice+actions is the future imo
I am using it for a voice application though so retrying causes a delay for the user that they don't expect. especially if it stays unavailable for a few seconds.
Back in the day, after the company I worked for bought the Electric Minds community and migrated it to its own CommunityWare system, and then the company that bought our company decided to shut the platform down, I reimplemented the community platform in Java and helped rescue the community. See: https://erbosoft.com/blog/2025/09/08/electric-minds/
EMinds eventually sputtered out because of the rise of platforms like Facebook. Well, now we see what came of that. So I think there's room for a platform like the one I used to have. See: https://erbosoft.com/blog/2025/11/03/what-we-once-had-and-co...
The new system is being written in Go. I'm porting the code over without using AI, though I have used Claude to translate the old crusty HTML pages into modern HTML with Tailwind CSS. Once it gets to the functionality I had back in 2006, I'll put it up...and then see about going beyond that, including how to make it distributed and provide more interoperability.
Maybe it was because of the grants, but it was a fucking nightmare getting off the ground even though we had nearly 90% of the population in three counties on board for the co-op. The red tape and regulations (in our state at least) made it clear that government runs for urban and suburban interests and actively undermines rural needs. I'm talking government in bed with large providers who had exclusive rights to run "high-speed" Internet to our towns and farms, even though they had never and were never planning on anything above dsl for most people and cable for the ones in town.
If I was more charismatic (and wasn't 1000% sure there were pictures of me doing drugs when I was in college), I would consider a run for state office, because it's a shit show for small towns here.
And that's the story of a) when we got sued by a large provider that I hope goes out of business and burns to the ground, and b) the last time I volunteered on a large project and why I will never take the lead on anything bigger than the Lion's Club pancake breakfast now.
I'm funding this myself, and my current approach (hopefully!) avoids most of the red tape. I'm leasing fiber from a local ISP for the colo <-> my home connection, and once I have myself as a successful "customer" of my own ISP, I'll start doing the last mile build out, which is where I expect the red tape to begin.
But I haven't decided if I'll do fiber or wireless, and if I go wireless, I might be able to avoid pole agreements entirely by just working directly with my neighbors. The problem is that our area is pretty heavily wooded, so I'm not sure if I can place antennas high enough to cover a reasonable swatch of the area.
Most property owners we had to cut across were willing to forego payment of any kind for free fiber hardware, and access at reduced rates for 10 years. So that was nice.
We didn't evaluate wireless, just because of the terrain, but I do know a local chap who is providing that for folks using grain bins for line-of-site access points. That's seemed to work well for his use case.
Loads of politicians have come back from worse! Don't let that hold you back.
Shameless plug, sorry (not sorry!) but I would have killed for it when I worked in web hosting :-)
Looking forward for the publication of the book and buying it.
Every week I pull together all the new talk recordings from hundreds of conferences (Devoxx, KubeCon, PyCon, QCon, LeadDev, dotJS, and many more) as well as podcasts. I highlight a few must-watch ones with short summaries, then include a list of everything else uploaded that week.
It started as a personal project to fix my own messy YT subscriptions, and now 7,000+ people read it. I also publish fun extras like “Most Watched Talks of 2024” for Python, Java, Rust, etc.
If you watch engineering talks, you might find it useful. I’d love to know what you think!
Instead of DOM scraping, it intercepts AJAX calls and figures out which API endpoint gives you the data you need. Uses visual analysis + fuzzy matching to identify the right call.
The use case: scraping product reviews, paginated listing data (products), etc. Existing AI scrapers either didn't work or were very slow and costly. A product with 1000 reviews takes 10+ minutes with Playwright, costs $10 with LLM scrapers. With Strot? 10 seconds via direct API calls.
Being used in production by a couple of clients. Would love feedback!
Blog: https://blog.vertexcover.io/strot-is-a-api-scraper GitHub: https://github.com/vertexcover-io/strot
You can think of it as a data source, or a knowledgeable companion that can provide comprehensive book information for online booksellers, libraries, book-related startups, bookworms, and more.
I got a pre-alpha build running for those that want to test it out[2], but the code is still not out there, as there are a few things I want to refactor. Wrote comprehensive documentation for it this weekend, now I need to refactor the merger package with some new rules, and write something to decrease the number of genres returned.
Been tough to find time to work on it because of the baby, but AI has been helping a lot to speed things up, and the work has been quite fun. Not sure if there will be interest in the idea, but it solves a problem I have, so I had to work on it anyway.
Hope to have the code on GitHub by the end of this week. AGPL licensed.
[1]: https://github.com/pagina394/librario
[2]: https://paste.sr.ht/~jamesponddotco/5612eaa80fc7eee8b6180a31...
Lumina has made a probiotic strain that is able to, theoretically, prevent cavities. I don't care that much about, but I do think it is a neat strain that can likely colonize your mouth. I'm genetically engineering it to express sfGFP, which would theoretically make my teeth fluorescent green under black light. Would be fun at raves! Also, if I make out with anyone, you could theoretically see changes in microbiome composition just from green-ness. I do wonder how much microbiomes are shared while kissing: this would be an example of a way to directly measure that, instead of just measuring on proxy like much microbiome research
- Oh, son, let me tell you a story about how an ancient dude called koeng wanted to see how many people he kissed.
Laketower: https://github.com/datalpia/laketower A lightweight data lakehouse exploration and management app (web+cli), using DuckDB as the default query engine. It can run locally or self hosted, and for now statically configured only. Hope to integrate Iceberg and Ducklake support by end of year.
Modelship: https://github.com/datalpia/modelship An ML model to app generator. For now, only ONNX models are supported as input, and only static website as target (onnx runtime web wasm/webgpu). I intend to also work more on it the following weeks/months, especially to support more model I/O types, and add support for more targets (REST API, CLI, etc).
These 2 projects were born from professional activity needs but are a nice playground to learn and try new things
In programming mode, its a flash drive you can put LUA scripts on.
In run mode, you can select a lua script to run. Lua scripts can take HID input and produce HID output.
All open source, hardware and software: https://github.com/cedarhacks/ReMapper
It can do things like keyboard -> joystick mapping, key logging, macros, mouse wiggling etc etc
Would it be able to take multiple inputs?
However in the git repo and prototype, ATM it's 1 input 1 output.
An algorithm to optimise vacation days using public holidays and weekends. Especially relevant at this time of year.
I created it a year ago and received quite some comments on the Show HN post[1]. Last weekend I updated it to work for end of year planning and adding fixed days off, which seems to solve most of the feedback. It was done with Cursor in agent mode.
OpenFret combines everything a guitarist needs in one place: smart gear inventory management, AI-powered practice sessions, real-time collaboration tools, and a vibrant community. Think of it as "GitHub for guitarists" meets comprehensive practice tool.
Core features:
1) Smart Guitar Inventory: Track your collection with auto-filled specs from thousands of guitar models. Monitor woods, pickups, scale length, string changes, and discover patterns in your gear
2) AI Practice Sessions: Generate personalized guitar tabs and lessons based on your practice history, with VexFlow sheet music and integrated metronome
3) Session Mode: Fork and merge music tracks like code. Layer recordings, see version history, and collaborate with musicians worldwide
4) Practice Analytics: Persistent timers, song tracking (Last.fm integration), scale visualization, fretboard maps, and chord progressions
5) Built-in Tools: Guitar tuner with frequency control, Strudel integration for backing tracks, and musical helpers to break out of E minor habits
Looking for:
Feedback from guitarists/musicians on which features resonate most
Link: https://openfret.com/ | Discord: https://discord.gg/G3Pur3PzZm
Thank you!
It's a custom assembler built on top of the LLVM assembler (llvm-mc) that emits instrumentation code to catch ABI violations at runtime. Stuff like clobbering nonvolatile registers, misaligning the stack pointer, misusing the redzone, assuming volatile registers don't change across a function call, etc.
Hoping to finish up basic x86_64 support within the next few days. I can now reliably assemble and run unoptimized gcc output without hitting false positives, but I still have to iron out some false positives triggered by OpenSSL's handwritten assembly routines.
TODO items for the near future include porting the runtime support library into a kernel module so I can instrument Linux, and beginning ports other architectures (ideally something semi-obscure like POWER or RISC-V). I also need to figure out how to support dynamic linking, because the tool currently needs static linking to access its thread-local variables.
https://github.com/kenballus/llvm-project/tree/abisan/llvm/t...
I’m building this using our framework for stack-agnostic JS/TS libraries. On the database side, we currently support Drizzle and Kysely, with Prisma support coming soon.
https://fragno.dev/docs/our-fragments/stripe/quickstart
Inspired by the Stripe integration built for better-auth.
What about compressed air? It might not be too hard to find a small brushless low power air pump that could drive pistons directly.
You could mount the pump controller onto the back of the panels and use an accelerometer to measure angle, and run the pump until it's where you want it.
You'd probably need to do some testing and make sure it couldn't get jammed, then build up pressure, then suddenly unstick and move unsafely.
Last year the 550W panels here dropped to 90eur, and so I just added some more panels to remove the need for the switchover. I saw last week 600W panels going for 80eur but no space left, but tempting. Good luck! It's a nice feeling to have energy independence.
https://www.youtube.com/watch?v=I-Fz5T5c0OQ
Best of luck =3
I open-sourced the RAG boilerplate I’ve been using for my own experiments with extensive docs on system design.
And I have bunch of LLM+RAG blogs I post frequently last 2 months : https://mburaksayici.com/blog
It's mostly for educational purposes, but why not make it bigger later on? Repo: https://github.com/mburaksayici/RAG-Boilerplate - Includes propositional + semantic and recursive overlap chunking, hybrid search on Qdrant (BM25 + dense), and optional LLM reranking. - Uses E5 embeddings as the default model for vector representations. - Has a query-enhancer agent built with CrewAI and a Celery-based ingestion flow for document processing. - Uses Redis (hot) + MongoDB (cold) for session handling and restoration. - Runs on FastAPI with a small Gradio UI to test retrieval and chat with the data. - Stack: FastAPI, Qdrant, Redis, MongoDB, Celery, CrewAI, Gradio, HuggingFace models, OpenAI. Blog : https://mburaksayici.com/blog/2025/11/13/a-rag-boilerplate.h...
I'm in Germany so I'm working on a Germany-specific solution for now.
- you choose from a list of charities (right now I'm working with the list from the https://dzi.de plus a few such as Wikimedia Deutschland)
- you setup a recurring donation to our bank account
- we redistribute the money according to your split
- no spam in your email and snail mail
- one pdf at the end of the year for your tax returns
I'm not planning on taking any cut of the donations obviously, so this will be a fully self-funded project at first, but I'll reach-out to foundations once I'm up and running.
The URL will be https://super.giving/ (not setup yet, should be fairly soon).
I'm also planning on releasing the source code as open-source.
I'd be happy to hear your feedback, either here or via email :)
..k..
.k...
Rules state they must be in different regions, row and column. No mention of diagonal or adjacency.
Lately I've mainly been working on stability and bug fixes. I've released some big features the past few months so I'm doing a big push on polish, before I again tackle some larger features that I'd like to implement.
If CLI scripts is something you're interested in at all, give it a go! We have docs and a guide [1] for getting started, feedback very welcome :)
[0] https://github.com/amterp/rad [1] https://amterp.github.io/rad/guide/getting-started/
Even seeing 'rad' in the URLs, at first I thought you'd misspelt them there :)
Recently it hit v2.0 spec conformance. 3.0 is next on the roadmap. (I'm executing it against the upstream spec test suite.)
My aim is probably not for it to become a highly-performant decoder for use in production environments, but rather one that can be used for educational purposes and/or debugging issues with existing modules. That's why I decided not to offer a streaming API, and why I'll be focusing on things like good errors, good code docs etc.
P.S. I'm new to the language so any feedback is more than welcome.
Now they can charge rent if they encounter a continued fraction library in the wild.
It's bizarre
Do you have a link to the patent?
On Google Patents: https://patents.google.com/patent/US20230401438A1/en
The authors simply implement a continued fraction library in Pytorch and call the backward() function on the resulting computation graph.
That is, they chain linear neural network layers and use the reciprocal (not RELU ) as the primary non-linearity.
The authors reinvent the wheel countless times:
1. They rename continued fractions and call them ‘ladders’. 2. They label basic division ‘The 1/z nonlinearity’. 3. Ultimately, they take the well-defined concept of Generalized Continued Fractions and call them CoFrNets and got a patent.
IBM's lawyers can strip out all the buzzword garbage if they feel litigious and sue anyone whose written a continued fraction library. Because, that's what the patent (without all the buzzwords) protects.
You sent me down a rabbit hole. In trying to track it down for myself I read a couple of others that I thought might be it, and was stunned by how obtuse these patents are.
What sort of leverage does this stuff provide? You mentioned "charge rent". What does that look like?
If you wrote a continued fraction class in Pytorch and called backwards (or even differentiated the power series) then you're infringing on their copyright.
I recently shipped an MCP server thst can delivered broken link results to Cursor so they can rapidly be resolved.
https://fontofweb.com/u/fontofweb
I was tired of inspiration sites like Dribbble full of polished mockups that aren't practical. Or awwward like sites that don't represent the mundanity of most websites.
So, I spent a while building a tool that captures website design snippets. It's now a collection of 4,363 designs from 544 different domains.
For every design, it extracts:
The exact fonts used on the page (so far 561 unique font families I've found)
The precise color palette
A direct link to the live site
You can check out the full free collection here: https://fontofweb.com/u/fontofweb
An annoying little laptop charging reminder utility that does the job.
---
There are times when I am deeply involved in a focus-work session, a meeting, OR watching some sort of engaging video content, and don't pay timely attention to the standard low battery notifications from my MacBook.
After the laptop shuts down suddenly, what follows is the most annoying walk to find the charger or the charging outlet. It's frustrating at times, sometimes embarrassing because you have to say, "Sorry, my battery died down" as you join back the session after 2-3 minutes.
Over the last 3-4 weekends, I have been building Plug-That-In, which has floating notifications. Essentially, a notification that follows my cursor movement, so I get a stronger nudge irrespective of what I am doing.
There are a few other critical features, such as Reminder Mode and Do-Not-Disturb Settings.
- Reminder Mode: On critical/lower battery levels, it will keep beeping like a car's seat belt alert for some time (configurable) when the battery is really low.
- Do-Not-Disturb settings: Configure what sort of alert/sound it will generate when I have system audio playing or video playing, or the camera is active.
It has addressed a personal need and has already proven useful a few times over the last weeks.
Entirely built from scratch in C without any dependencies. Now I wrote this code when I was 16, so many memory leaks and generally issues that I wanted to rectify and begin using third project for my own blog (currently old version is used — https://aadvikpandey.com)
The Kevlar v3 (https://github.com/aadv1k/kevlar/tree/kevlar-v3) here is all that it includes; more spec compliant markdown AST-based parsing; A better .ini config parser (right now it’s literally strtok on ‘=‘ and generally very hacky) as well as name spacing; more powerful templating tags like IF, FOR with lisp-like configuration
Of course staying true to the spirit of “from scratch” :)
Honestly I did scope creeped a little since I mainly wanted to fix a memory leaks issue in the markdown compiler lol; anyway I will share it once it gets completed on hacker news :)
Very few young folk are learning C; I think it is commendable that you are.
You code doesn't seem very strongly structured (to be expected, TBH) but much better than any learner would see.
What resources did you use to start learning C? I ask because it looks to me that those resources covered "how to program in C" but not so much design and structure.
Here's two links (my own blog) to get you started on one or two common C patterns designed to minimise bugs:
Yeah and I'd agree with your point. One BIG critique I have for my own 2-year-past code was that I did not know how to do dynamic heap allocation very well, hence you may have seen everything is stack allocated lol
Particularly egrigeous example:
typedef struct ListingItem {
char lTitle[CONFIG_MAX_PATH_SIZE];
char lDate[CONFIG_MAX_PATH_SIZE];
char lContent[CONFIG_MAX_FILE_SIZE];
char lPath[CONFIG_MAX_PATH_SIZE];
int lOrder;
} ListingItem;
(I had read "clean code" by uncle bob at the time, so I was trying to emulate clean code I saw in the book. Needless to say, pretty good example of the nuance needed when writing clean code haha)So with the V3 release, I am re-writing the markdown compiler for instance, and being a bit more mindful of the structure
Example: https://github.com/Aadv1k/kevlar/blob/markdown-compiler-rewr...
I think once I am done I will create a separate "Show HN" post to get valuable feedback (like this one!) from smarter folks than me. Once again, thanks for the fantastic blog :) will be sure to go through it
Cheers!
It runs on a Raspberry Pi 2 with an AudioInjector sound card, a small LCD screen, a rotary encoder, and even an old hard-drive platter as the “deck.” The goal is to make a simple, open, and affordable way to experiment with scratching and mixing — no fancy gear required.
It’s still in progress, but it works pretty well and has been a fun way to explore DIY DJ tech and embedded audio.
- An AI RSS feed summarizer (https://feeds.carmo.io)
- A PyObjC replacement for the bloated StreamDeck app (https://mastodon.social/@rcarmo/115498602604176483)
- A new keyboard, mostly to get back into SMD soldering (https://mastodon.social/@taoofmac/115521815709828495)
- A bunch of small MCP servers for other projects (https://mastodon.social/@taoofmac/115315732816298110)
- A case for a little server (https://taoofmac.com/space/reviews/2025/11/09/1930) that will eventually run at family's out in the countryside and manage a few ESP32 boards scattered around
Obviously, anyone here who has read my posts knows I know how to write code, but having a bunch of built in connectors that are agnostic to each other with the Oauth and the like being somewhat plug and play allows me to iterate on some ideas a lot quicker.
I installed an n8n instance on my server, and have become kind of addicted to making different Discord bots, and I'm having more fun with this than I thought I would. 95% of the stuff on there is basically drag and drop, and when I need more elaborate logic then I can easily drop into JavaScript. I am looking into writing new nodes for different services, and I keep having new ideas for different stuff I want to build.
I’ve always wanted a typing application that’s both more than typing random words and is data-focused so I built this.
The more you type, the more the analytics system learns about your typing patterns and generates natural text to target those weakpoints (SmartPractice mode).
There’s a lot of variety as well; you can practice typing code in any programming language, or type text of various topics, use custom text, etc).
Do you flash the game to a custom cartridge for testing?
Really happy with it as I wanted exactly that for myself.
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The next idea I am going to work on is the audio player. I already wrote a Rust library to read TOC + raw track data from audio CDs (https://github.com/Bloomca/rust-cd-da-reader) and a CLI tool to do so + convert to FLAC and embed metadata from MusicBrainz (https://github.com/Bloomca/audio-cd-ripper).
I've been researching this topic and while my background is related to digital signal processing, I think I will use a library, there seem to be too many edge cases to work with WASAPI and such directly.
Users can create their own sub-communities, and within them, set up different categories and boards. Posts can be voted on, and board types can include regular posts, Q&A, or live chat. It's like a hybrid of Reddit and Discord but leans more towards a traditional web community. It also supports server-side rendering, making it SEO-friendly. This project is an extension of my previous Hacker News clone, dizkaz (https://news.ycombinator.com/item?id=43885998).
A STUN server that lets people test what type of NAT they have uses two IPs. For such a server you have to manually specify the addresses to bind on to make for sure its setup right. As it goes, writing network software to do simple things like "bind on all local addresses", "bind publicly", "bind on all", is harder than it sounds. There are edge cases on different OSes and address families, so manually managing IPs is hard to do.
My network software lets devs easily manage NICs and routes they support without guessing about addressing. Additionally, I've written a bunch of software with the library already to do things like NAT traversal. So its really my own redesign of how to do networking on the Internet. Designed to hide a lot of the messiness. I'm still improving code quality so it's not ready yet. But I've been dog fooding with a lot of software written in it and smashing bugs every day.
Project page: https://github.com/robertsdotpm/p2pd Built this recently with it: http://ovh1.p2pd.net:8000/servers (server monitor for public STUN, TURN, MQTT, and NTP servers. Only checks every 4 hours to avoid spamming them though.)
https://github.com/Fingel/gelly
I've been enjoying rebuilding my music collection from both old hard drives and ripping old CDs. Jellyfin is great but I wanted a native application focused on music, not video. Thus Gelly. It's been really fun to work on.
And the other goal is minimal dependencies. The only bootstrapping stage is a very very small core in Common Lisp + FSet but could also be replaced with other languages, and then using that subset to bootstrap the rest.
There is absolutely zero claim to be highly performant, it is more of an educational experience.
All of it is done via literate programming in org-mode. So far it's working pretty well, but will have to see how that approach works if the project grows.
But as the first stage bootstrap in CL is mostly done at this point, I have to hot-reload anyway.
At some point it might be nice to have my own REPL running in Emacs, but that is a worry for way later when I actually get something usable. For now this is purely for personal entertainment.
Windows does not natively support rendering thumbnails for 10-bit videos, which are commonly produced by cameras like the Sony A7IV.
When I started working on a short film the video clips were piling up on my hard drive. Opening them one by one to find what I was looking for was tedious.
I could not find a reputable solution to this problem, so I started a company and built one. I went through the process of EV Certification to have the installer and executable code signed.
I hope to be in the Microsoft Store soon.
I'm also building other utilities with similar purpose.
You just need to pay for a fixed monthly upfront cost rather than PAYG, giving small developers a good save of their money.
In other words, this is similar to self hosting with K0S/K3S/OpenShift, except you don't have to own servers to begin with, in other words, it is a little similar to serverless K8S.
Well, all you those you can actually do with a VPS today, heck why do I have to do it if EKS/GKE/LKE/OKE/DOKS exists? That's because it takes a lot of time to properly setup VPC/EBS/S3/EC2, you need to pay an insane amount of premium and overheads to those while an ordinary user just don't want to hassle too much.
I want to undercut the big clouds by saving people's money and time. I have had enough of seeing a ludicrous EKS billing. I just want K8S to be the control panel of everything.
Deploy, run and scale later, simple as that
Right now I'm hosting my own test cluster under my bed so I can't show it.
You don't have to manage CNI, CSI, Linux kernel, etcd. You just need Kubernetes app development knowledge and that's basically it.
Now I'm still thinking about how to get live migration and failover working, so it is going to take a painful while...Kata Container doesn't support it out of the box but Cloud Hypervisor does
I tried to submit it as a startup project last year but the feedback isn't great, I want to have something polished first before making it public
The main question is which P2P overlay network to use, if any: the prior incarnation used Pinecone (a variant of Yggdrasil), whereas this time we're pondering keeping it simpler and more scalable and using Matrix itself as the backbone to connect together smallish local P2P meshes - so by default you try to route via Matrix, but failing that you look on your LAN or BLE to see if you can talk directly to whoever you're addressing. Time will tell if this works :)
Edit: another option on our todo list to look into more is Iroh (https://github.com/n0-computer/iroh)
If you don't want to be banned, you're welcome to email hn@ycombinator.com and give us reason to believe that you'll follow the rules in the future. They're here: https://news.ycombinator.com/newsguidelines.html.
Kinda like this (https://github.com/open-telemetry/opentelemetry-injector) but with support of having multiple service name for different services. This includes tomcat, normal systemd services and also services running inside docker containers.
EDIT: I am popping my cherry with this comment on HN. Been a lurker since past 2-3 years.
The idea is to bring something like k6 to the PHP ecosystem:
A Go-based load-testing engine
A PHP SDK that lets developers write performance tests inside PHPUnit
Assertions for latency, error rates, and business logic
Can spin up local servers and run in CI/CD
Working on distributed mode to scale tests across multiple nodes
Currently building the cloud version so teams can run large tests without managing infrastructure
For Laravel developers, I also released a package that integrates Volt-Test directly into the framework:
https://github.com/volt-test/laravel-performance-testing
It supports automatic route discovery and makes it easy to write performance scenarios using familiar testing patterns.
Docs + examples: https://php.volt-test.com
If anyone here has experience building or running distributed load-testing systems, I’d appreciate any feedback or pointers.
The idea is to take boring components: PostgreSQL, Bifrost (LLM gateway), Open WebUI, LanceDB, Agentgateway (MCP and OpenAPI gateway) and deploy them in Fly.io. One Fly.io "org" per user. The closest equivalent is blaxel.ai, but it caters for AI SaaS startups, not individual customers.
The combination of the fact that Fly secrets are visible only from within the apps, distroless containers, and transparent data encryption for PostgreSQL assures that the service (Pocketdata) provider cannot access their data, only the infrastructure provider (Fly.io) theoretically can, but practically speaking, this gives an extremely high degree of privacy assurance.
The latest update on the project: https://engineeringideas.substack.com/p/tasklet-is-the-o1-mo...
I got all the components, tested it on a breadboard, learned to solder and now I'm working on the 3d Print to enclose everything.
I actually just did a test run to see if my current 3d design would fit my PICO board, and it fit, but not that secure yet.
Im a developer but never worked this close to metal, so I've been so happy with how it's been going so far, making me real proud of myself.
FURS does for Forth, what headers do for C, namely provide all the embedded configuration information inside a Cortex-M MCU, for the up to 100 inbuilt peripherals.
Without this data, neither C nor Forth (or any other language) have any clue about how to use the peripherals.
FURS does this by intercepting the Forth user source as it's uploaded to the on-chip compiler and transforming it into language the MCU inherently understands.
The Forth user source code is not altered in any way.
I've used the Fossil DCVS for the entire FURS project so that all the flowcharts, pictures, code, user doc, trouble-ticket, wiki ... everything is contained in the ONE FILE, under 5MB.
This one file gives you a web server so all you need is a browser to easily view all the above from the main menu.
Howto: https://sourceforge.net/projects/mecrisp-stellaris-folkdoc/f...
Works only on chromium based browser as it directly writes into files on disk to not loose data. Sry
This is a pet project for myself. I love listening to online radio while at work, helps me focus. But I didn't really click with any of the current selection of web apps out there so decided to build one myself.
It uses the great API available at radio-browser.info for all the radio information.
Been using it as a way to learn how to market a website as well. Learning a lot.
I welcome any constructive feedback.
Would suggest that you filter out any radio stations where the URL isn't working if possible.
For example I filtered down to "United Kingdom" and then "bass" - 3 of the 6 worked and would rather see ones that are active.
Also if possible to apply the country filter within the search bar, took me a second to realise I had to open the filter for country, select that, then go back to my search.
When clearing my search of "Bass" in the example above, it reset the search to default (didn't have my country filter) even though the filter was still applied when opening the filter section.
Super easy interface to use though, really well done.
It is annoying when some of the stations don't work. I've done an initial try at filtering them out without much luck but will try again.
Good idea about the country filter.
Thanks for the feedback really appreciate it!
I've been building a Decentralized Database built on top of syncing CRDTs, and recently got it to a point I can demo. It's definitely in a "proof-of-concept" stage though, known security holes and all.
I've been focused on building out the featureset and keeping everything unstable instead of trying to finalize each piece as I build it. It's the opposite of how I normally build things but I think it's been working pretty well for this.
I've written about it a few times, most recently "Using CRDTs + Sync as a Database" - https://jackson.dev/post/crdts_as_database/
Why? Most solitaire apps frustrate players with impossible games or endless randomness. Solitairle is designed for people (like me) who want a satisfying win through skill, not luck. Every day brings a new, solvable challenge, complete with helpful tools (back button, dead-end warnings) to keep it fun and frustration-free.
I’m especially interested in feedback from people who:
Enjoy casual puzzle games but get discouraged by unwinnable setups,
Value clean, minimalist interfaces without ads,
Have ideas for daily challenges or fun player stats.
Would love your thoughts: What frustrates you most about digital solitaire? What would make you want to play daily?
Career Skills AI Coach. Sharpen how you think and speak by debating AI
We are clearly on the verge of the largest white-collar skills dislocation ever. Our goal at Socratify is to make skill building and reskilling for interviewing, onboarding, promotions, and career change as effective as possible with an AI coach and sparring partner.
Also... would it be crazy if services and social media were text-based applications too?
Not necessarily through telnet, but with some kind of standard so that instead of the web/browser, we use a CLI(s).
I dunno, maybe I’m just bored.
LINOG.ph is a live earthquake tracker for the Philippines.
The Philippines deals with thousands of earthquakes a year. Whenever the government volcanology and seismology department detects earthquakes, they post it on their official website.
When a major earthquake happens, a huge number of people try to visit the site, causing downtime for up to an hour.
LINOG.ph caches earthquake data from the official government website and the U.S. Geological Survey site, and makes them highly available to the public.
I built this after seeing friends and family donating and providing support for affected families after a major earthquake in Cebu. This was my way of helping out.
Two super typhoons have hit the Philippines in the past two weeks, so I'm also considering adding in typhoon tracking.
Any feedback is welcome!
It’s a single binary, dependency-free monitor in Rust that does it all: metrics, Docker, alerts, and file browsing. While maintaining a minimal footprint for embedded systems and other constrained hardware.
There are a number of use cases for such a tool. One is for helping data analysts who are handed a pile of JSON documents to be able to more quickly and effectively craft analytics pipelines for heterogeneous data where just inspecting a few documents isn't sufficient. Another is to help automate API specification generation and regression testing. Definitely interested in any feedback.
[0] https://github.com/dataunitylab/jsonoid-discovery/ [1] https://michael.mior.ca/blog/llms-for-schema-augmentation/ [2] https://arxiv.org/abs/2407.03286
I‘ve just finished the final pinnacle boss of the endgame in the version released last weekend.
Made this web app for my nephew, based in Singapore, after watching him struggle to find anyone to practice Hindi with outside of family calls (since most of his friends are Chinese). The idea is to have a 24x7 partner to speak with Hindi and make it fun. This can complement the formal Hindi classes that most kids of Indian diaspora parents take.
My nephew started using this and is enjoying it!
Link: https://www.hindispeakingtutor.in/
Looking to hear feedback from the community!
So, I started working with Claude on building a postgres database replication application. I'm learning Postgres internals as well as how brittle database replication and subscription can really be. Although this is for Seren, you can replicate between any PG databases. https://github.com/serenorg/postgres-seren-replicator
Big learning: Claude Sonnet with Rust is massively productive. I'm impressed, but code bloat is a thing.
Of course we have to slap "AI" on it in this market, but we plan on adding AI features that are actually thoughtful and not just a glorified chatbot.
I vibecoded a POC of what something I think would work (around the latter part around exploring the data). Need to complete it and start testing it.
Once we get this right, I think the next step is exactly what you said, building really good tools to explore the data. Making it easy for non-technical users to run machine learning on their data to make business decisions or see cool visualizations. We realize that so many of our customers want to know this stuff and have no way of getting at it! We've got a lot of ideas for both visualizing and analyzing the data. I think there's a ton of potential for cool things here. Heatmaps, spiderwebs, interactive charts, etc. Stuff that brings the data to life. One of the common asks from some of our early customers is a heatmap of the world to visualize their sales/reach and see changes over time. Visualizing progress per sales region, etc. I think sales especially has a lot of opportunities for better lead generation and qualification as well.
I'm a little delusional, but I think there's ground to steal back from Salesforce. Most folks I talk to hate how complicated Salesforce is (one even calls it Salesfarce). I've heard a story or two about smaller companies trying to adopt it and wasting a hundred thousand or two implementing Salesforce only to have it never get used. On top of that, you need to train your employees to use Salesforce effectively.
The key is simplicity, building a CRM that anyone can instantly understand just by looking at it. This is insanely hard but I think we'll pull it off. I'll show you more what I mean when I reach out. Thanks!
https://kauwenofspauwen.be/en Belgian food hygiene rating from official gov reports
[1] https://m.facebook.com/groups/5251478676/permalink/101664026...
I'm getting ready to have a couple prototypes made soon and trying to decide between getting boards made at OSHPark and hand-stuffing/reflowing myself or having JLCPCB do all of it.
AgentOS is a lisp-machine inspired runtime where agents can safely propose, simulate, and apply changes to their own code, policies, and workflows, all under governance, with full audit trails. Every external action produces a signed receipt. Every state change is replayable from an event log.
https://edwin.genego.io/blog/lpa-studio
https://edwin.genego.io/blog/ai-branding
It's not something I am looking to commercialize, but I actually did drop out of film school (with semesters in creative storytelling) to pursue software 15 years ago. And I feel like this will open up a whole new way of visual storytelling as well as personal and product branding. I have gotten quite some emails about it, from interesting people in different industries, as some more strongly worded (not so nice) emails from someone in the VFX industry since I started. Its by far one of the most interesting tangents I have ever went on.
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Backdoor: https://github.com/tanin47/backdoor
A self-hosted database querying and editing tool for you and your team. Modern and elegant UI. Supports Postgres and ClickHouse. It can be embedded into any JVM app or runs as a standalone.
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Embeddable Java Web Framework: https://github.com/tanin47/embeddable-java-web-framework
A lightweight production-ready Java web framework that comes with batteries (e.g Svelte, Tailwind, Github Actions, browser testing).
It is packaged into a single fat jar with no external dependencies. The starting size is 350KB. This is great for embedding into your larger JVM app or runs a lightweight website.
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PlayFast: https://github.com/tanin47/playfast
An opinionated production-ready PlayFramework that comes with batteries (e.g Svelte, Tailwind, Github Actions, browser testing).
I was a YC founder in 2006 and now work as a data scientist full-time, but on the side I also do Christian apologetics, helping fellow engineers/scientists/mathematicians seek answers to life's deepest questions.
Some cool articles for the HN crowd:
- [published several days ago] Medical miracles in Lourdes, France recognized by the Catholic Church 2018-2025: https://www.saintbeluga.org/our-lady-of-lourdes-immaculate-c...
- My interview of Evan O'Dorney, a three-time Putnam Fellow and two-time IMO gold medalist, who converted to Catholic Christianity: https://www.saintbeluga.org/veritas-part-i-conversion-of-a-p...
- In-depth scientific overview of Eucharistic miracles: https://www.saintbeluga.org/eucharistic-miracles-god-under-t...
- Conversion testimony by Harvard astronomy professor Karin Oberg: https://www.saintbeluga.org/veritas-part-ii-conversions-at-h...
One project is for building rhythm games in multiple game engines and multiple platforms. Currently, it works in Unity, Unreal, Godot, SDL (or any C++ game engine), and MonoGame (or any C# game engine), and runs on Windows, macOS, and Linux. I'm working on adding Love2d (or any Lua game engine) and Bevy (or any Rust game engine). I have a few local prototypes of it working in Unity and Godot, but nothing public yet. Still trying to figure out what kind of game I want to make with it.
https://github.com/neogeek/rhythm-game-utilities
The other is a general purpose game engine in C++ with SDL. It's far enough along that I'm building games in it, but it's more of an exploration into how games are made than a replacement for Unity or Godot. I suppose it could be eventually, but I'm trying to be realistic with what it can do. One thing I'm pretty happy with regarding this engine is that one of the demo repos will automatically build to WebGL and publish to itch.io when changes are pushed.
https://share.icloud.com/photos/00ajYWxKpZmYrh6KmlHOxW4tA
I was able to get the original 15khz CRT monitor up and running by recapping the board. I decided that the control panel was unsalvageable, and insufficient for what I wanted to do, which was make this cabinet compatible with most any game that would have run on a cab like this.
I decided to use RGB lit buttons, so I could change the color's depended on which game was loaded. I used an ESP-32s2 to emulate a keyboard, and accept serial messages from the host computer that changes the button colors.
I also incorporated a Stream Deck in the control panel for auxiliary functions. I was able to write a node application to run the stream deck (with the help of a library) since there is no OEM software for linux.
By far the most challenging part was getting a suitable signal to the CRT. The first thing I tried was using the Raspberry Pi's GPIO pins through a VGA666 board, but this limited my colors to 16bit, which makes 3d games look pretty awful.
Next I tried using a downscaler. This got me 24 bit color, but resolution switching doesn't work with this method.
I'm trying an AMD system now. Apparently the linux driver lets you set custom resolutions, and output 15khz (and 25khz for that matter) right from the VGA port.
I plan on doing a writeup after I near completion.
When people think about Civil 3D, they often assume it requires BIM modelers (in a sense, just glorified drafters) to create all the necessary catalogs and styles, and to assist with their use.
My Civil 3D plugin will:
1. Make standard, market-compliant catalogs and polished styles available to engineers at large. Think of it as the WordPress theme provider equivalent.
2. Make the entire process easy and painless through the plugin, with prominent buttons for quick access.
If the plugin is done well, there will be less need for BIM modelers, since for a fee, engineers could simply purchase catalogs and styles that are so easy to use they require no technical training.
As a side benefit, I also get to explore how LLMs can help me write code. It has been a while since I last updated my AI usage policy [0], and I look forward to revisiting it.
I’m responsible for product research, analysis, design, development, and promotion. Most of the workflow was powered by AI tools — more than 60% of the research, design, and coding involved AI assistance. Initially we used Bootstrap for responsive design, but later switched to a lighter TailwindCSS framework.
Right now traffic is very low (just a few dozen users per day), and I’m trying to figure out whether that’s a product issue or simply a lack of promotion. Honestly, it’s a bit discouraging, but I’m hoping to learn from feedback and iterate.
Curious if anyone here has experience growing early-stage products with niche financial data — how did you approach the balance between product refinement and marketing?
- Scan wine labels (it analyzes the label automatically)
- Add structured or unstructured tasting notes
- Create lists (shared or not) to keep wines organized
- View information about the regions/grapes
It's called Cork Club: https://corkclub.app/
I am almost done with flappy bird (2nd challenge)
Why? I love the old arcade and game boy games, and I want to recreate them to my liking. I also love mechanical systems and space rovers, and I want ro build worlds to explore and simulate these things
Open source, drop-in replacement and self-hosted alternative for Firebase
Using Node.js, Express.js, BetterAuth and PostgreSQL (JSONB)
Like grouping statements together within a rule with heavier emphasis on keywords that starts each of its statement.
Even has the easiest Vim installer, `make install`/`make uninstall`; none of that funky Vundle, or other relatively unknown Vim packagers.
Has over 2,500 semantic nodes, 15,000 syntax match statements, and under 5ms rendering.
This is a purely deterministic LL(1) full semantic parser.
https://github.com/egberts/vim-syntax-nftables
Skip the release (I cannot delete it), go full repo clone.
Is it ready? Yes, almost entirely, unless you are a firewall expert using few remaining nftables-supporting but esoteric features like ‘synproxy’. Gotta master that first before I can highlight it properly.
You can have a look at https://simcarlo.com. The tool allows you to see the full spectrum of potential outcomes instead of just a single guess.
I'm working on a man in the middle proxy for BGP, which can fix and inspect routing sessions on the fly. Like a firewall for the BGP control plane.
Create video game sprites and animations via prompts.
Pretty excited because I've started to get high volume, repeat customers.
Not a fan of signing up before seeing how much I'd have to pay. The examples look great though.
Prices are about to drop dramatically. Many of the models dropped >80% in price since initial launch. Any time I have a reduction in cost, I pass the savings directly on to users.
Not sure if you just added this in or I overlooked it, but exactly the kind of transparency I love. Will give this a try.
--
EDIT - Did an image generation using the OpenAI 4o model, then ran through the lowest quality animation. This is awesome and first pass is very strong and usable (around 100 diamonds used).
I look forward to seeing prices drop more and the asset pack area fill up. Keep going man, really awesome stuff.
If you uh... need any early testers, LMK.
I wanted something that would allow us to record members, games, etc., and also allow us to be assigned a local club rating. Anyway, after doing some searching and only finding paid software, I decided to just build something. That lead to https://openchessclub.org
You can check it out on GitHub: https://github.com/OpenChessClub/openchessclub.
I plan on building a QR code generator that allows club members to check-in during meetings, which will then allow players to be matched, and some other features, although it is primarily aimed at smaller chess clubs, so don't know how far it'll go.
Wings & Whistles: https://www.wingsandwhistles.app/
Love any and all feedback!
Once you sign up and connect your Google sheet, it generates a template (using AI) based on your data, which you can edit in a Notion-like editor. You can then generate PDFs for your entire sheet or a for a range of rows.
Some use cases I'm seeing:
* Certificates for students or course completions
* Monthly invoices for all your clients (https://sheetstopdf.com/use-cases/business/invoices)
* Personalized reports with individual client data
* Event tickets or conference badges
* Contracts, offer letters, or any personalized documents
* Really anything where you have rows of data that need to become individual PDFs
Would love to hear what you think or if you have use cases I haven't thought of yet!
I have a lot of devlogs at https://www.slowrush.dev/news though at this point I am quite behind showing off the latest graphical improvements there.
Here is some more up-to-date gameplay footage: https://bsky.app/profile/slow-rush.bsky.social/post/3m523ft2...
Lately I’ve worked on a chat history based memory feature that can recall information from every conversation you’ve ever had with ChatGPT and Claude. It’s been particularly useful and also technically fun to implement. Speed has been very important as I do just in time summarisation and a multi stage RAG pipeline, and most LLMs have unacceptable performance. I ended up going with GPT-OSS on Groq due to its ultra low latency often completing full generations before Gemini or ChatGPT APIs return even the first token.
The ability to recall details from conversations going back years makes tasks where I want personalised plans or feedback like 10x more useful, at times I get the AI to ingest tens of thousands of tokens of context to help me better.
I'm also automating more stuff around bookmarks management -> I used to manage an awesome list as a repository on GitHub for myself and over a couple of years there are relatively many stars on this repository. However I lost interest in maintaining this repo manually as I prefer to save my bookmarks on Shaarli. I'm coding a CLI tool to automate the work of syncing my shaarli links to my public "popular" (+500 stars) repo at https://github.com/SansGuidon/bookmarks
Myself and other users complain a lot about the "native" Plex -> Ombi watchlist integration being broken, I coded some sync tool to workaround the app malfunctions, by using Ombi, Plex and TMDB (The Movie Database) APIs and ensure Ombi is always up-to-date based on Plex watchlist. This works very well and allowed me to put a stop to the complains from my family members :-D
I'm also automating most of my email/linkedin interactions thanks to userscripts. And I keep automating more of the work I do around Cloudron, which is a very fun and stable platform to manage apps on VPS without the pains.
I built it because I work across multiple machines and often worry about which projects are on which computer or whether I’ve left any files in unique locations. Now I can diff the summaries between devices to see what’s out of sync, which repositories have uncommitted changes, and which folders have been modified.
I avoid using cloud sync services, and most of my files are already in git anyway. I find that having clear visibility is enough, I just need to know what to commit, push, pull, or sync manually.
I would be glad if it proves useful to someone besides me.
Most shoppers spend hours to find the rights product. We’re fixing that with intent-based search that understands descriptions, images and personal preferences.
We’ve hit 25K+ searches in 4 months, growing 50% MoM, and built our own scraping system that makes product data collection 100× cheaper than existing tools.
Still early, but live. Would love feedback on search quality and result relevance.
PS! There are some products out of stock, this is expected, fixing it right now.
Skip any of these and even the fanciest ranking algorithms feel useless. Helping users bridge that gap is where relevance actually clicks.
https://mail.gnu.org/archive/html/bug-gnu-emacs/2025-11/msg0...
This will add an iCalendar library to GNU Emacs, allowing packages in core and third-party packages to work with the format. More on the decisions I made and what I learned here:
I am building better dev tools for firmware and PCB developers.
For example, we have GitHub Action workflows that allow you to push builds to the connected EmbedHub project. Your EmbedHub project has fine grained release management - so for example only the git tagged releases will be shared with the customer, but the testing/QA team will get access to builds from regular commits on branches as well.
I am also building a physical device (called HAL) similar to the now discontinued EtcherPro[1] - which will connect to your EmbedHub account and have access to your releases. This will let you offload tasks like long term testing, mass flashing and provisioning of devices, and more.
First use case is hello@ email addresses for fellow founders. Free for founders!
Honestly struggling with whether it's solving a real problem though. The detailed tracking with quantities and calories feels like too much friction.
Would love to hear if anyone actually tracks their meal habits and what works for them.
My backhand is OK but my forehand sucks. Grip styles for standard handles usually end up favoring one side or the other. I'm making a handle shape that's easier to get the blade angle right on both sides. Hopefully a couple more iterations on the 3D printer and then I can have a functional prototype made.
Early use case is replacing API keys with identity tokens that expire, delegate, and prove possession and then can be used for easy step up to fine-grained authorization. There's some pretty interesting authorization stuff you can do, like having multiple parties sign off before a token is valid or requiring a series of micro-services sign a token for it to be valid.
https://play.google.com/store/apps/details?id=app.radarlove....
Just launched last month.
github link: https://github.com/cgranier/tabSidian
Links to all the browser extension stores on github.
It is a recipe app but better, and way more technically capable than anything out there. The goal is to make the best recipe app ever made. With bulletproof easy to follow recipes and smart features to make cooking simple. Everyone deserves good food at home, but good food is complicated and time consuming. An experienced cook can make good food quickly, cheaply and make it look easy. The idea is that Kastanj will have the knowledge you don’t so you can cook like a pro without having to spend years learning everything.
Backstory: I have a note where I write down practical problems I experience in life. I noticed over time that the amount of notes related to food and cooking was growing faster than anything else. I then began searching for a solution. I tried over 50 recipe apps, always the premium version if possible. There are some good apps out there but even the best ones only solved something like 50% of my issues. After enough frustration and search I just decided to start working on my own app. That was 4 years ago... It turns out that solving some of these problems where technically complicated to do, so now I understand why no other app could solve my problems. None the less, after 4 years of work, starting over from scratch 5 times, I have now landed on a solution that technically solves all my problems.
Going forward: Now I am working on filling the app with data and make it easy to use for normal humans. I am on purpose limiting myself to only perfecting the core functionality of what a recipe should be. I intend to launch sometime in 2026. The UI will be small and limited at first, but it is perfect for my needs. Therefore I hope it will also be perfect for someone else. Over time I will enable more advanced functionality and build it out based on user feedback. I know the backend can support 100% of my needs, but I don’t want to make it bloated. Therefore the UI is on purpose focused on only the most important things and then we will build it out with time, together with the recipe creators and end users.
And the repo is here:
https://github.com/igor47/csheet
If you play DnD, I would love feedback! Feel free to leave it as GitHub issues or discussion.
If you don't play DnD, you might still find the repo interesting. It's hono on bun, I render jsx server side and client side is all htmx. I use vercel's ai toolkit for the LLM interactions, which are super fun and work really well. I think this is a great use for AI actually. I've structured the code so the same services can be called either by the user via forms and routes, or via LLM tool use, so for every action in the code you can do it via either LLM or "manually".
I suggest adding an export function to make the characters more portable. Maybe export to PDF as well as JSON.
1. Agents become far more capable when they have access to a CLI and can create or reuse scripts, instead of relying solely on MCP.
2. Multi-agent setups are often overvalued as “expert personas” but they’re incredibly effective for managing context, A2A is the future.
3. Agents are useful for more than just writing code. They should be easy for non-engineers to create and capable of providing value in many domains beyond software development.
If that sounds interesting take a look! https://github.com/brycewcole/capsule-agents
I think I got all of the important bits in place, now just working on improving the quality of life experience and bug hunting.
We’re building Ward, a security browser extension that uses Gemini Nano, an on-device LLM, to scan for phishing, scams, and other threats from the DOM.
Think of an antivirus for everyday web users, like young children, older adults, and less savvy individuals.
We recently participated in the Google Chrome Built-in AI Challenge 2025 and have submitted to the Chrome Web Store.
We’re looking to meet people who may know someone Ward is good for and would want to provide feedback. Alternatively, we’d love to chat with any IT Managers/Directors of Security/Google Apps Admins who would be interested in piloting us as an anti-phishing enterprise solution.
You can DM or hit me at fitzgeraldcedric(AT)gmail.com :)
Will poke around and see if there's interest here, thank you!
It's intended to be a sort of social network focused on IRL groups/communities and finding others with the same interests in the same area, and just building local communities in general.
It's currently still a part-time venture, but I'm planning a launch on HN soon to get input/gauge interest in the latest iteration. FWIW, I posted the initial version on HN just over a year ago and got a ton of amazing feedback, much of which I've incorporated over the last year - https://news.ycombinator.com/item?id=40717398
- Calendar sync
- Photo upload
- post/comment/reactions
- Recurring events
- SMS notifications
- Greeting card maker
(and a lot more)
We started working on this all the way back during the Covid lockdown when we wanted to capture that "facebook events" experience without the facebook.It's grown into something much more than our original idea. Most of the features are free and we have a fair pricing model that doesn't nickel-and-dime you like many of the competing apps do. Would love your feedback!
1. hn comments are valuable, I've spent a lot of time going through hn comments. I think there are valuable comments buried in the threads with fewer points, so it's not enough to just read top3 threads.
2. Sometimes a good post is ignored due to a bad title, sometimes I still have no idea what the post's theme even after I read a few paragraphs.
3. I want to filter out some posts I'm not interested in, but I realized I need read some other posts it's not a simple yes/no problem, so I gave every post a interesting score based on my own preference
so I want a tool to save my time while not missing out too much on hn
Any questions we could chat on X @liqilin3
Now I'm working on a few changes to the app, most notable is moving any plants marked as 'for sale' out from the main section because it turns out people are more greedy than I anticipated and it's getting in the way of sharing the free stuff, cuttings etc.
There's also some demand for a web front end so I might work on that next. (currently only android and ios)
I had an initial boom of downloads in South Africa but lately most new downloads are in USA.
- It's a personalized newsletter for you
- All data aggregated from sources around the web
- News, weather, newsletters, social media posts, reddit, youtube, etc. all appear in your digest.
- Launching a mobile app as well now but this will be slightly different than the web app. It will use AI to automatically prepare your daily digest based on preferences/settings you give it during onboarding. Each day when you wake up you'll receive a notification of digest being ready, and it will contain all the content you care about for the day ahead (meetings, weather, health data, commute data, news, etc).
A lightweight infographic generator (Gemini API → structured layout → export to PDF).
An AI marketing content tool that takes a topic and outputs research + themed HTML + a printable PDF.
Cleaning up the docs/structure for Schema Scanner, an open-source tool that scans websites and generates Schema.org markup.
Exploring a simple AI search visibility tracker to see how often a brand shows up in ChatGPT / Perplexity / Gemini responses.
Still early, mostly building to understand what’s useful vs. noise, but the patterns have been interesting.
Currently have two binge-able mini courses on How to Start a Startup (could be relevant to folks in here)
Here it is: https://opencademy.com/
Similar with learning software development, you usually need basic modules like regex or databases before learning more complex skills.
https://github.com/addpipe/webcam-tester
Live demo @ https://addpipe.com/webcam-tester/
I also started a Substack to document it - here's a recent post on using Gemini to screen inbound emails with prospective acquisition targets via a Google Apps Script that evaluates the listings in those emails daily: https://theautomatedoperator.substack.com/p/screening-inboun....
Can check it out at https://dailybaffle.com
I'm still working on growing the audience. App coming soon!
It's an open-source iOS voice agent that uses the OpenAI Realtime API (bring your own key).
Current connectors: Hacker News (check demo in readme!), Google Drive, GitHub, and web search.
I got frustrated with the limitations of the OpenAI Realtime Voice iOS app—for example, it can't even connect to Google Drive.
Arty is self-contained except for the OpenAI model and any third-party services you connect to. Uses local tools—no MCP support yet.
If you'd like additional connectors, feel free to open an issue.
[2] https://msp.ucsd.edu/techniques.htm
[3] https://mitpress.mit.edu/9780262014465/the-audio-programming...
- Search campaigns: - automatically crawl website, find the offerings and generate new campaigns - Provide qualitative recommendations such as, relevant terms to include/exclude, e.g. including typos as keywords, improvements on landing page
- Shopping campaign: - Smart labeling of all products to allocate the budget among Top performers, Rising and Ghost products to avoid draining the budget. E.g. instead of a campaign with 10k products with one budget , turn it into 5 campaigns with different budgets doubling down on what works.
Feel free to reach out for a demo
Too many things I wanted to analyse went to nothing because I was too lazy to fetch information and the put it inside a spreadsheet cell by cell. So I developed this to help me extract docs into spreadsheets while also having access to the web.
Now working on a vibe-coded version of it where instead of showing a spreadsheet, it will be able to generate data-focused tiles and apps
Is there a cadence for these threads? I had in mind to "be prepared" to post in November's with what I'm working on, but I expected it to come around on the 15th (mid-month).
What I'm working on:
- skuilder - (skill builder) - https://github.com/patched-network/vue-skuilder - an AGPL framework / toolkit for SRS++ based interactive tutoring systems
- https://letterspractice.com - a low cost, hopefully high quality early literacy acquisition app, targeting ages 3-5.
- https://flutor.app - an app to learn the flute
(The proprietary apps are built with the toolkit).
I've struggled to pitch or articulate the vision here, but my latest pithy attempt is: scaling self-actualization by mechanizing the nested loops described by Anders Ericson's 'deliberate practice' - Inner loop: individual learners maximize their skill uptake velocity and performance peak by adhering to domain specific best practices - Outer loop: domain specific best practices get refined according to innovation or serendipitous discoveries from the inner loop (eg, someone is observed to beat out prior best practices)
As mentioned, I'm flat-foot posting here, so the pages aren't all prepped. https://flutor.app/dbg and https://letterspractice.com/dbg show some of the innards. Not linked, but I'm especially fond of https://letterspractice.com/dbg/juggling - the premise here that as child practices the letters, the letters exemplify the principles of effective practice in alliterative skill domains (juggling Js, batting Bs, flossing Fs (it's hard ok?))
I've done this with C++ in the past, but ran into substantial friction with the CMake toolchain, specifically w.r.t:
- cross-platform compilation with large dependencies (vcpkg ports)
- running multiple compiler chains in the same build step
That second point is necessary if, for example, there's some AOT asset processing work that uses a native tool, and you're building for web. Expressing that some targets should use the emscripten toolchain while others should use the native toolchain, and interleaving between them, was a mess. TBF, I haven't done that with cargo or build.rs yet and it may prove to be equally frustrating.
Other features:
- undo/redo using a stack of swappable states
- serialization to disk (native) and LocalStorage (web) with some integration tests in progress but I am not satisfied with the correctness of my implementation: I want to *guarantee* that all information is preserved round-trip, but I also want a Patek watch.
- OBJ, GLTF, GLB models are loaded as "blueprint scenes" which are distinct from the "world scene." I made this distinction at the type-level because "scenes" are groups of entities that use newtype IDs (`LightId(u64)`, `MeshId(u64)` etc.) as primary and foreign keys to refer to each other, and I wanted to make it impossible for an entity in scene A to hold an ID for an entity in scene B. Instantiating a blueprint requires creating new IDs for every object.
- W.I.P. Alpha rendering, depth sorting, overhauling the material system to support multiple shaders (tough) that may be compiled after the engine itself (even tougher, a lot of runtime dynamic state and schema validation stuff), physics, scripting - oh yeah!
- Scripting using JS on both web (runs in browser itself) and desktop (uses a packaged JS runtime `Boa`) but Boa doesn't perform well on desktop in debug mode so I'm exploring other options.
Open Source Vacuum Robot firmware
All-in-one router/nas/firewall/adblock/app server (each piece optional)
Declarative and reproduceable as it is built off of NixOS, but administered through a UI, so the user doesn't have to know this.
All state managed in a backup bundle, so it can be hosted at home or in the cloud.
Goal is to have a box you plug just like a wifi access point into your modem, follow a simple web-based installation flow, then you are running a personal cloud.
Website is self-hosted by HomeFree, but installation instructions are very out of date, which I'm working on right now. There are now installation ISOs that I will soon add a link to.
OpenRun runs as a web server, which does GitOps driven app deployments. You can currently deploy apps on a standalone machine, on top of Docker/Podman. Working on adding support for deploying on top of Kubernetes. On Kubernetes, OpenRun will replace your build jobs (Jenkins/Actions etc), CD (ArgoCD etc) and IDP (Backstage etc). The same declarative config which works on a standalone machine will work on Kubernetes, with no YAML to maintain.
I recently added FSRS (besides also having Anki integration). Now I'm working on replacing the need for reviewing flashcards by having reading activity automatically mark flashcards (current and future) as reviewed, so that you can get many of your reviews in just by reading native materials that interest you instead of sacrificing most of your study time to contextless flashcard grind.
I'm also working on a manga mode using a new manga OCR tech I have licensed out of academia that is ahead of state of the art alternatives.
This project now sustains my full-time focus.
https://chromewebstore.google.com/detail/console-dock/biplbp...
Looks great BTW. Installed.
AI workflows API
Idea came from one of my clients, where they wanted to use AI agents throughout the organization but at that moment there was no centralized governance or security concepts. This pulls everything at one place and tries to solve the security concept with per-user credentials, which can be provided out-of-band through the MCP protocol (generated a one-time link end-user can use to sign in to the underlying MCP server with OAuth or provide API key)
And we are now recruiting our first group of seed users. If you're excited to shape the future of design and be among the first to try neospark, please visit our homepage and join the wishlist through https://useneospark.com/
We'll send you an exclusive invitation the moment our MVP is live.
==> Here is a photo of the Editor : https://ibb.co/FC9Hzj2
==> website with an example of a FPS visit https://free-visit.net
Please be honest, tell me why I don't have traction.
It's great that you're working on this. If you want to continue on this, I'd consider: - Cleaning up the design of the website-- it looks kind of crappy. Get an AI agent to clean it up for you, it's better to look like "generic professional website" rather than "crappy amateur". - Use the more common words for creating 3d models. A "Visit" sounds like an experience, but what you're really making is a "scene", or a "spatial capture", or a "floor plan". - Maybe try to figure out a niche. Is your niche that people can edit this the 3d object afterwards? Or is the niche integration with video games? You gotta find something that doesn't directly compete with polycam.
And yes.It's not 100% automatic. I agree, my low point.
We're hiring a Backend Engineer to join our high-performing team. This is a remote contract position open to candidates in South America, Mexico, India, and Canada.
--------------
What we offer:
-------------
* Competitive salary based on location
* Startup culture with strictly no BS meetings
* Work alongside top-notch engineers
----------------------
Who we’re looking for:
----------------------
* Expert in Clojure and functional programming
* Familiarity with GCP and Kubernetes infrastructure is a plus
* Strong knowledge of relational databases like PostgreSQL
* Experience with graph data structures and graph traversal
* Comfortable with Docker and build systems
* Prior experience at startups is a plus
* We don't hire task rabbits — we value ownership, initiative, and problem-solving
* Ability to convert business requirements into scalable solutions
* Ability to think from the customer's perspective — not just "code to spec"
* If you are a self-starter who loves building real-world systems with a clean functional approach, we’d love to hear from you.
------
email me: prashanth.iyer at sharecare dot com
Website: https://statisticaldrafting.com
Turns out to be a small niche, but I enjoy it!
Decided to pivot and start learning about databases and their internals more. Currently pulling down Clickhouse and reading some code along with the reading the book Database Internals by Alex Petrov.
So I'm technically not "working on" an app...I am working on myself to branch out and attempt to specialize a bit more as I progress in my career.
Any advice/papers/books to read is very welcomed!
Apart from that I have a personal SaaS idea I want to release soon. Its something that started as a joke but the joke is still not finished
1. Find and match with the right investors automatically 2. Personalize and automate outreach campaigns 3. Track investor responses and manage your fundraising pipeline in one place
The goal isn’t to replace the hustle, just to remove the repetitive parts so founders can focus on building relationships.
Would love honest feedback from fellow founders and investors here:
Does this solve a real pain point for you?
What feels missing or unnecessary?
How do you currently manage investor outreach today?
In October I finished the PDF parser. It was a big challenge extracting PDF contect with correct paragraph breaks on user's computer locally. I'm gonna write about this soon.
Now I'm working on a web extension that talks to the app that run locally on your system so you can use WithAudio in your browser with very good performance, 100% local and private.
the popup for miles/km stays too much on top. it should go away after selecting it once.
Scuba divers use computers to tell them when to make stops during ascent to prevent decompression illness. Many recent computers implement Bühlmann's decompression algorithm with "Gradient Factors".
Gradient Factors are 2 free parameters that control the "safety" margin of the dive. It's not obvious what values to choose, especially for novice divers.
My app explains what they are and shows their impact on the computed dive plan.
Building native applications for iOS, Android and Huawei devices in Haskell.
Projects like lynx and react-native automate this process using something akin to node-gyp, exposing kotlin / swift libraries via C ABI w/ a JS API. Miso accesses the kotlin / swift native modules by FFI'ing into the JS that exposes them.
The JS doesn't get compiled, but on Android it does get JIT'd. So it's "native" in the sense that the views drawn are native (not WebViews), and the device APIs are native, but not "native" in the sense that it's compiled.
https://share.combo.cc/-Z7hBzNbaCc
(work in progress prototype, design is not final)
Intentionally made simple and centered around plain text files and editing speed. I've spent a week on the prototype, now it's good enough to dog-food. Would like to eventually distribute it as a multi-platform app.
https://github.com/mrkev/webgpu-waveform
Made some updates to this open-source library I wrote to render audio waveforms using the GPU on the browser (WebGPU).
Example on the site. Works without enabling flags on Chromium browsers. There's an example to scrub and zoom in real time on some audio. Feedback welcome!
Working on an app that helps me (and other people) do household management on autopilot. It helps me manage things, food, expiration dates, shopping, chores, and I get notified periodically to review my lists. I waste way less food and I actually do my chores instead of procrastinating. https://okthings.app
Generally, i tend to buy the same things, so the "big" data entry job happens only once.
Yeah I'm not gonna touch it and I'm going to actively encourage people to disable it. Use signal instead.
I've been building it for several months now and enjoy the learning process, I also wrote a blog post and learnt a ton about terminal, ANSI processing. The learning has been immense for me, I now have working knowledge of ANSI escape codes, grapheme clusters, terminal emulators, Unicode normalization, VT protocols, PTY sessions, and filesystem operations, all the low-level details I would have never think about until I were implementing them. [1]
[0] https://github.com/vinhnx/vtcode [0.1] https://deepwiki.com/vinhnx/vtcode [1] https://buymeacoffee.com/vinhnx/vt-code
It does some neat things to match instructions while avoiding location dependent references, then creates a hash that can be used to used to search binaries in linear (or faster!) time.
Still a WIP, but being used on at least one decomp project.
I should be able to do it with my various personal apps, but one app I've written, was done in concert with a professional graphic designer, and he is not happy with LG, so I expect that app to be a pain.
These are my apps: https://littlegreenviper.com/AppDocs/
> Wir sind nicht bereit oder verpflichtet, an Streitbeilegungsverfahren vor einer Verbraucherschlichtungsstelle teilzunehmen.
Doesn't help haha. Maybe explain why?
> Also: why would I as an applicant add more data for money? The landlord has the benefit, they should pay for that.
In many hot rental markets (My experience mostly with Berlin), you are mostly not in a position to say "the landlord should pay that" and everyone is desperate to supply the best, most complete and most convincing documents even if it feels bad to fork over that much personal data to a random stranger on a platform.
https://breaka.club/blog/why-were-building-clubs-for-kids
Basically, I'm building tooling and providing these to community run clubs that help turn kids from consumers into creators. I'm focusing on game development initially, but have plans to expand into other areas of creativity.
We're using Godot + GodotJS (which I'm a maintainer of): https://breaka.club/blog/godots-most-powerful-scripting-lang...
I've much experience building software for creators. I'm a (core) developer of Tabletop Simulator. I worked at a now defunct startup which allowed people to create and distribute their own interactive fiction stories using partner third-party IPs.
I have a background in EdTech. I used to be Head of Engineering at Ender, where we ran custom Minecraft servers for kids: https://joinender.com/ and prior to that I was Head of Engineering at Prequel / Beta Camp, where we ran courses that helped teenagers learn about entrepreneurship: https://www.beta.camp/. During peak COVID I also ran a social emotion development book subscription service with my wife, a primary school teacher.
Have been down a rabbit hole ensuring the stairs are realistic and that grid connects properly. Lots of fun and frustration with AI coding tools trying to solve that (they mostly don't/can't). Some fun detours learning a little Prolog to help out as well.
It's a honeypot system that uses AI to mess with attackers. When someone tries to hack your app, it detects them and serves up fake responses based on attack type.
The system learns from attackers behavior and creates convincing decoys to waste their time and frustrate their efforts. It's basically a trap that gets smarter the more attackers poke at it.
https://github.com/entomorph/reverse-engineering
I started the project when ChatGPT 4 was first released, using it as a way to explore what LLMs could actually do. I also find working on it very relaxing, there is something cool about uncovering secrets hidden in code for more than twenty years.
I would love feedback on the post, how do you see the tech stack for software control evolving into this new category.
It's still early in development, but it has a large number of features that I've always wanted. A dynamic entity system so users can create their own entities with their own traits. Random tables. A madlibs still generator. All of these things work together, too. You can have tables that randomly pick other tables values, or you can reference your own custom entities. And all this can be tied to maps or a calendar. Again, all something users can create. And of course, all of this can be shared out so you can have a published gazetteer and encyclopedia of your world that is easy to manage.
Mostly done because existing systems were too clunky, and wikis don't offer the same level of control and reuse. For example, you can reference entities parameters in other entities allowing you to embed data in multiple places and have it have a single source of truth.
It’s mostly free with only old Reddit features gated behind a one time $5 fee. The app has a few hundred thousand users on the Apple platforms but recently it was invited to join Mozilla’s Recommended Extensions program so I’m hoping to grow the non-Apple user base.
But of course the programmer in me needs to make my own software to design patterns with code. Enjoying using paper.js to do all the complicated math to calculate lengths and angles.
I write almost daily article about libGDX - my most favorite code-centric game framework. There are now over 100 articles covering topics from basics to advances. I plan to post more because this is more or less a passionate project.
In the future I hope it evolves into a definitive resource for learning game development with Java and libGDX.
(Spoiler: I did manage it and launched in just 75 days from start to first order)
- Three tier corporate structure with manager-managed LLCs and a private WY LLC as manager, complete with a knowledgebase-powered assistant that can write share registries, banking resolutions, meeting minutes, contribution contracts, loans and more
- Supply chain management with proprietary lot tracking that tracks PO line items from production to delivery
- Generated the base for all product images, helped write and research label design and text, wrote SEO titles and product descriptions
- Used Claude Code to build the entire Shopify theme for the site, all collections, product pages, legal pages and a COA database to boot
- Used Claude Code to build a custom Shopify app to integrate lot tracking into the shop so that when lots sell out the next lot is queued for sale and all lot-related metadata is synced to the product variant and displayed on the product page
- used Claude Code to build a super analytics platform that combines the data from GA4, Shopify orders, and Meta business suite into a single feature store where I can wrangle the data to ask/answer any question I can dream of about audience segments, product popularity, what’s working or not, and get insights on what to do next
If you care to check it out, the site is https://cosmicpeptides.com
Because of the well bound nature of the problem space, we are able to unlock a lot of power from LLMs and put together a good end-to-end product that delivers the promise.
Still early days. I know there are lot of folks who care about a11y. I would love to chat and learn from your experience.
It looks at your spending across all your accounts, categorizes, identifies patterns, trends, runs predictions and sends weekly/monthly summary email.
No apps or dashboards, just insight.
Plug in once and forget. Takes 5 minutes to keep track of your spending.
We are still at early stages but you can check it out here
https://pennypost-landing.vercel.app/
Appreciate any feedback you might have!
I am using hugo to build suckless static pages. LLM helped me so that I don't need to read all their docs. I haven't finished it yet nor posted a single blog. But there will be one soon.
- The idea: https://carlnewton.github.io/posts/location-based-social-net...
- A build update and plan: https://carlnewton.github.io/posts/building-habitat/
- The repository: https://github.com/carlnewton/habitat
- The project board: https://github.com/users/carlnewton/projects/2
Still very much a work in progress, but expecting to release a first version by end of year. Built on Tauri, in case anyone is curious.
I've created various open-source and commercial tools in the multimedia space over the last 10+ years and wanted to put it all together into something more premium.
I made a viewer on my website to build intuition for my preferred perception algorithm which is entropy filtering + correlation. Pretty neat to check out the heatmaps for random tasks, there is a lot of information inherent in the heatmap about the structure of the task: https://synapsomorphy.com/arc/
https://demo.replays.lol/clipper (recording the demo video today).
The idea is that a generic video message doesn't appeal to a fan of a video game streamer, instead what really would be cool would be watching them react to your best moment in a game.
Our software removes all friction from the journey, the fan doesn't even need to record their own gameplay, we have bots set up that can load up someone else's gameplay just from their username, record their highlight for them, upload it to our platform, then the streamer just needs to come in, watch a ~60 sec clip, give a genuine reaction, press 'submit' and its all done.
There's a few markets I'm trying to find product market fit in: ~1-2 minute coaching sessions, sports commentator style commentary over your clip from influencers, hyped up reactions from your favorite streamer, a community-focused segment on a stream of watching a compilation of your fan's best moments.
We're ready to launch, just trying and struggling to find the first few people to sign up.
https://github.com/jakeroggenbuck/kronicler
This is why I wrote kronicler to record performance metrics while being fast and simple to implement. I built my own columnar database in Rust to capture and analyze these logs.
To capture logs, `import kronicler` and add `@kronicler.capture` as a decorator to functions in Python. It will then start saving performance metrics to the custom database on disk. You can also use the middleware for FastAPI.
You can then view these performance metrics by adding a route to your server called `/logs` where you return `DB.logs()`. You can paste your hosted URL into the settings of usekronicler.com (the online dashboard) and view your data with a couple charts. View the readme or the website for more details for how to do this.
I'm still working on features like concurrency and other overall improvements. I've added a lot since the last time I shared on HN. I would love some feedback to help shape this product into something useful for you all.
Thanks! - Jake
It's a modern, open source, self-hosted customer support desk.
And the host of bio libs required to do it. The sort of thing that are mature in Python, for example, but I needed to build for Rust.
- I will not consider it feature-complete
- It might be a waste of time if the performance isn't what I imagined
Basically, I have a pain point with pytest being a bit slow. Nim and Rust (and other languages) have ways to transpile Python code into the other language. I know some Rust tools to run the tests, but they have some differences from pytest.
My idea is to have a runner that transpiles the code to either Nim or Rust, compiles it, and runs the compiled tests. Test discovery for sure would improve, but I have no idea at all if the compile + run time would be smaller than just running pytest normally. There are a lot of challenges in this project, so I'll probably use it to learn another language and some new skills, instead of building something aiming to be usable out there.
https://www.arthurcarabott.com/adc-2024/
As part of it I am building a code generator to generate shared type definitions in C++ and TypeScript (plus serialization, comparison and cloning).
Each participating team (got 300 signups so far) will get a set of text tasks and a set of simulated APIs to solve them.
For instance the task (a typical chatbot task) could say something like: “Schedule 30m knowledge exchange next week between the most experienced Python expert in the company and 3-5 people that are most interested in learning it “
AI agent will have to solve through this by using a set of simulated APIs and playing a bit of calendar Tetris (in this case - Calendar API, Email API, SkillWill API).
Since API instances are simulated and isolated (per team per task), it becomes fairly easy to automatically check correctness of each solution and rank different agents in a global leaderboard.
Code of agents stays external, but participants fill and submit brief questionnaires about their architectures.
By benchmarking different agentic implementations on the same tasks - we get to see patterns in performance, accuracy and costs of various architectures.
Codebase of the platform is written mostly in golang (to support thousands of concurrent simulations). I’m using coding agents (Claude Code and Codex) for exploration and easy coding tasks, but the core has still to be handcrafted.
Here is a screenshot of a test task: https://www.linkedin.com/posts/abdullin_ddd-ai-sgr-here-is-h...
Although… since I record all interactions, could replay all them as if they were streamed.
If you have any ideas or comments for improvement, feel free to reply anytime! (For reference, this service is designed for Korean users — I’m Korean myself.)
I've spent several years since Covid times solo-developing an ad-free website with 50+ solitaire/puzzle games.
I've gathered some feedback from users from HN already and now trying to fix things.
I'm looking to genuinely improve the experience so would be incredibly grateful for any feedback. I'm also wondering what it lacks – any particular games or modes?
You get to choose the genres you're interested in, and it creates playlists from the music in your library. They get updated every day - think a better version of the Daily Mixes. You can add some advanced filters as well, if you really want to customise what music you'll get.
What it allows you to do, though, is create your playlists with extended filters. E.g. you can select genres, and at the same time exclude genres - that helps with the "cross-contamination". You also get a view of all the artists that match your selections and you can add exclusions for them as well. It is a bit of manual work, but it works pretty good for me personally.
The iron rule is no direct interaction with the world. These are things that players can in theory always start on their own as long as they can communicate.
A lot of cybersecurity attacks happen because of stolen credentials. One big example is the supply chain attack, Shai Hulud. In a lot of enterprises, credential sprawl is a huge issue and figuring out who (people, services, ai agents) has access to to what systems is a paramount task.
At https://gearsec.io, we are building a platform where accesses are created via policies. The result is that, the enterprise doesnt deal with credentials anymore. They only need to define policies and nothing more.
I would love to know if you faced this problem and how are you solving them at your workplace!
It's been going well for a side project and now I'm thinking of expanding to have a directory of urbanists on a map so you can easily find people involved in the local discourse and how to get involved.
Still working on this and some things will definitely change, but IMO the system prompt is already solid, so that the response isn't unnecessarily scary on one hand, but not too general on the other
a) you are lucky because your CV is not scannable by AI so it's good if you want to keepyoru carieer as far as possible from AI tools ;)
b) you are unlucky: most likely the software recruiters are using to pre-screen applications (and they are using it a lot) is not seeing your CV either so you will be dropped on the first stage, :( work on this if you consider finding new job nowadays
c) if you still want to use my tool consider extracting CV's text to .txt or reformat PDF (this will help you with point b)
You will probably see only some footer/header content from your pdf.
In general, word doc has some caveats when it generates pdf. Not everything is retrieval when you try to get the pure text content.
Loads of similar products out there, but non that did all of: open source code with attested releases, recorded mic and system audio to work with any meeting app and used Apple Intelligence for private summarisation. In beta, and also just released a experimental version with self hosted Ollama support.
I think it's too difficult in its current form.
You can try it yourself at https://playground.keyframelabs.com/playground/persona-1 and there's a (semi)technical blog post at https://www.keyframelabs.com/blog/persona-1
The main use case we designed for was language learning, particularly having a conversational partner -- generally we've found that adding a face to the voice really helps trigger the fight or flight response, which we've found to be the hardest part of speaking a new language with confidence.
But in building out the system around the model to enable that use case (tool use on a canvas for speaking prompts and images, memory to make conversations less stale, etc.), we think there's potential for other use cases too.
It's a personal project that grew out of my own frustration. I was annoyed of paying for (and switching between) 8+ different apps for my Pomodoro timer, a secure journal, and habit tracking. I wanted to consolidate everything into one clean, fast interface.
I've spent the last few months building it out it's a full-stack app with a Next.js 15 frontend and a FastAPI/PostgreSQL backend. I'm really proud of the tech and the "minimalist UI, maximalist features" feel.
The app is live and free to use. I'd love any feedback on the app itself, but I'm also genuinely looking for advice: What's the best way to find your first 100 users for a new productivity app?
I figure having real users is a good resume boost and its an app anyone can use so I thought getting users would be easy but I've been struggling with it
The goal is to let anyone create task‑specific agents, train with their own data and an embed it into any site.
Training is simple: paste text, upload files (PDF, DOCX, Markdown, CSV), or paste URLs and it will crawl/index them into a per‑agent knowledge base.
I'd love to know what you think.
we invited 10 of the best indie devs from around the world to live & build alongside us for a month at a beautiful villa. for free. (we have sponsors like OpenRouter, Cognition, n8n, and CodeRabbit!)
we're 10 days into our first batch – would love feedback :)
I am also building an app for kids to make their arabic learning fun, rewarding and enjoyable. Do try and share your feedback. TIA
It's off to a rocky start though, as I've initially populated it with YouTube-8M and AudioSet, neither of which are music-specific. The search results can be... Weird.
I have a model trained on publics datasets tied to brainwaves and/eye tracking and text comprehension (have this working well enough to experiment). Now I am training an adapter for various llm architectures to generate text steered to certain neural oscillation patterns (let's call them "states of consciousness" for brevity). I also have a 'rephraser' that rephrases text to elicit these certain states of consciousness. Overall experimenting with creating an suite of tools off my findings with how text relates to the eigenmodes of consciousness. My theory is once I do this I'll be able to do some...interesting things with "AI" agents. lmk if you want to talk about it if you're someone with knowledge in neuroscience/ML. My background is as a Software/ML Engineer so I could use additional thoughts. I do wish I could send a Github/docs which I will soon but this is currently a private project seeking investment for various research/public/private sector applications.
Only indie make products, fully bootstrapped.
The idea is to both give founders another space to showcase their products and for early adopters and general public to browse through bootstrapped alternatives.
Finished: the 100%-vibe-coded "GPT-5 reviews all my PRs on max reasoning" GitHub app (which is shockingly effective, https://github.com/Smaug123/robocop - probably nothing new for people who already use some product like this, but I like owning my own infrastructure as far as possible, and GPT-5 and perhaps Gemini are the only models smart enough to do this so I can't take this any further).
Currently: back on "write an immediate-mode TUI framework that uses a vdom as its fundamental abstraction" (https://github.com/Smaug123/WoofWare.Zoomies), in the hope that this is the first UI framework that I don't absolutely loathe.
Next: using the TUI framework, write a debugger to inspect the internal state of my deterministic .NET runtime (https://github.com/Smaug123/WoofWare.PawPrint) and to step forward and backward in time.
Next: get the deterministic .NET runtime to a point where a property-based testing framework can identify the deadlock in some very simple buggy multithreaded code. (The framework is not yet able to run Hello World - did you know that's an incredibly complicated program in .NET? - but it can solve a few Advent of Code problems right now, can perform some limited exception handling, limited virtual method dispatch, limited casting between types. Even getting to Hello World might take a year if I'm unlucky.)
- Sixty books a year (five books a month)
- Self Chosen Books (no forced reading)
- Two recorded Salon style meetings monthly
- Bespoke software for the group including: shared embedding graph of highlights and annotations, IRC chat with @ for members and books and authors, collective bookshelf
- Six members max
Learn more here if interested!
How?
I'm a prolific reader but outside of short fiction I can manage maybe 4 a month.
How long would technical books take you to complete, say you have to read Effective Java 3rd Edition
As for non fiction, I read "Anarchist Communism" (fairly short) in a week, "Delivered from Distraction" in a month, "Masters of Doom" in about 2 weeks.
It depends on my interest more than anything. I obliterated the entire Robin Hobb "Assassin's" series, 12 books, in just about two months.
The trick is to always keep the book queue filled, so long books that take a while coexist for a while with a number of shorter length ones
Examples:
- YC: https://markets.apistemic.com/companies/y-combinator-goaq9
- uber: https://markets.apistemic.com/companies/uber-com-ojj2j
- Anthropic: https://markets.apistemic.com/companies/anthropicresearch-yx...
Try it for any company here: https://markets.apistemic.com
It's a need I have for myself and the teams I run – It offers direct PR's, 360º reviews, recording of wins and lessons (something often overlooked), and aims to be a platform for team and individualised growth, that is accessible to small and large businesses alike.
I wanted to visualize all my walks and runs on a single map. I built a native iOS app that fetches Apple Health and Strava workouts and visualizes them. Privacy was a major factor in building the app, so all the data stays on the device. Next version will have a time-lapse video option. Any feedback welcome.
A pulse of your team's mood and well-being.
Simple, voluntary, anonymous, daily feedback on stress, happiness and productivity.
With anonymous reports with gauges and trends. Spot trends early.
The usual approach to coding tasks doesn’t work anymore - companies are looking for AI engineers, yet it’s still unclear how to assess AI proficiency.
Our goal is to design challenges that combine prompting + coding, allowing us to score both how well a candidate prompts and how good the resulting code is. The aim is to bring measurement to AI prompting skills - how well-aligned prompts are and how candidates handle LLM-generated code.
At the same time, we want to keep a strong human balance in the process: hiring is a two-way street, and screening shouldn’t be fully offloaded to AI. We’re human-first.
Several tasks are already live - you can try them here: https://valuate.dev
I would say it combines the best parts of Duolingo and Anki. Anki is great for memorizing words, but you don't see the words in the context of novel sentences. Duolingo is great for exposure to new sentences, but it's oriented around "lessons" and SRS is an afterthought. (Duolingo is also not designed for people serious about learning a language IMO, it's too easy and goes too slowly.)
Had to do quite a bit to get it to work well.
1. At first you would think that if you know all the words in a sentence, that should be enough to understand the sentence. But it doesn't work like that. For starters, words can have multiple meanings. The french word "bois" can mean "(you) drink" or "wood". You want to learn these separately. I trained an NLP model (a gemma3 finetune) that I use to understand the manner each word is used in each sentence: https://huggingface.co/collections/anchpop/lexide-nlp-models
2. Even then, what about a sentence like "you'd better not"? Even if you know the words "you" "had" "better" and "not", you still won't really get this. So I use the wiktionary "multiword terms" category for each language to get a huge list of terms like "'d better" , "you better believe it", etc, and teach these in addition to individual words. And then I only show sentences where you know all the individual words as well as all the terms.
Few pieces of feedback:
* I would expect light/dark mode to follow system by default
* I'm not sure why I need to keep clicking "learn one more new card" after nearly every card I learn
* AI grading is actually done quite well, but is a little slow for the normal "flow" I'm used to when doing cards in Anki.
Think this is great overall though, feels actually unique in a crowded space. Best of luck!
By the way, I have a suggestion, the examples on the answers could be listenable to keep the brain on a learning mode all the time even on side words
And I'm not planning to get rich off of it haha. Right now there's no monetization at all. If lots of people use it to learn a language and avoid wasting their time on duolingo, I'll be happy
I work as a civil engineer in the mining industry and it can be troublesome to download satellite imagery for a particular date and cloud index. Yes, Google Earth Engine and QGIS plugins exist, but they are slow and confusing to jump back into after a period of time. SatelliteMine is simple to use and any images of your area of interest is saved to your account and can be downloaded as a geotiff.
Currently free to use with a cloud storage capped at 512MB per account. Paid plans for greater storage requirements will be provided if the demand is there. Any feedback is welcomed :)
The problem: Every time you switch between Cursor, Claude, ChatGPT, your AI forgets everything. You spend half your time rebuilding context instead of coding.
RecallBricks automatically captures context from your coding sessions and makes it available across all AI tools via semantic search. Works with Cursor, Claude Code, Continue.dev, GitHub Copilot, or any LLM.
Built the entire stack with Claude Code (meta, I know). Gas utility worker who taught myself to code, now shipping production infrastructure. Currently in private beta, launching publicly in a few weeks.
Tech stack: Render API, Supabase (Postgres + pgvector), Python/TypeScript SDKs, VS Code extension, MCP connector.
Would love feedback - especially from folks juggling multiple AI coding assistants.
*The problem:* As a solo founder, I was spending hours each week on social media - writing posts, scheduling them, managing multiple accounts. I wanted something that could handle the entire workflow automatically while still letting me stay in control.
*What PostSam does:* - AI generates content tailored to your brand voice (you provide initial brand info) - Creates full content campaigns with posting schedules - Calendar interface to review, edit, or reschedule posts before they go live - Auto-publishes to all connected accounts - Learns from your edits to improve future content
*Current status:* Live and working. Seeing good engagement rates from users who set it up once and let it run. The AI content quality has been surprisingly good - it adapts well to different brand voices.
All those have official API for creating posts? If not, there is a chance they will ban the tool.
This is going to be a small side project which shall include utilities for working with automotive diagnostics and logging workflows.
I have to do a lot of this in my day job and that's where the idea comes from.
I want to 3D print a shell that goes over my car fob: I keep leaning on it and setting off the alarm. The shell would make sure the buttons never get pushed.
I want to 3D print a sleeve that keeps the NCAS dongle in my car charger. I really wish there was a dongle that stayed attached with screws or similar.
FWIW: I was playing with an inexpensive (for me) Revo Inspire over the weekend. It feels somewhere between learning an instrument and taking a daguerreotype. There's a lot of room for improvement in the equipment for someone like me who just wants to casually scan something so I can make an attachment part. (I kind of wish there was a box that I could clamp something in, and then have it be about as easy as a flatbed scanner.)
I ended up covering my key fob with blue painter's tape, which kinda-sorta got it to scan. (I tried dry shampoo and drawing on it with marker, but I could never get a big enough area to scan.) When I imported the scanned fob into Tinkercad, it really distorted.
I ended up ordering a set of digital calipers and I'm going to try skipping the 3D scan part and go directly to CAD.
Historical public companies Merton Probabilities of Default.
A project just for fun and still having to finish a couple of things.
I plan to make the datasets public (everything but some raw market data as vendors don't allow that) and also about to add the explanation of what Merton PD is.
Our first prototype optimized an 80B model to run at full 256k context at 40 tokens/s while only taking up 14gb of RAM.
We are currently leveraging this tech to build https://cortex.build a terminal AI coding assistant.
https://reformeuropa.net/raea.html
Currently its at like 90% completion but there are some subtleties that probably need to be worked out a bit more. The PDF linked from that page explains all the details (although for reading just peeking at the charts on Page 4, 5, & 7 should get someone to reading it fine enough). Currently both Alice In Wonderland and Dr Jekyll are fully transcribed into the reform if someone wants to jump into seeing it in action. Certainly interested in thoughts and complaints of the system.
Also looking here sometime soon to playing around with an improved SI unit system. So if anyone has any new ideas here too I'd be very interested.
Examples of things to be touched upon would be like: - Make g (not kg) the base mass unit. Making 1 m^3 of water = 1 g - Bring commas to be the universal decimal point separator.
A place to find great blog articles by regular folks related to dev/tech world.
Wondering about the best way I can add a weekly newsletter built on top of the content currently being ingested and still looking for more sources to add to the database (let me know if you have any good recommendations).
I have added only about 35 essays for now. Might pick up some from your list too.
Just published a blog post a few minutes ago: https://alexcbecker.net/blog/prompt-injection-benchmark.html
Because they're trained using imitation learning instead of RL, they're scalable and easy to deploy with your own data (also open-source!).
Mainly targeted at and tested on quickly disqualifying prospects in sales calls, but can be applied more broadly.
https://metro.scopecreeplabs.com
https://metro.scopecreeplabs.com/abc
https://metro.scopecreeplabs.com/video
Offline first, everything is saved to Local Storage. Sharing is also purely serverless - the ABC text and the video chapter defs are shared via query parameters after compression and base64 encoding.
Tech: React, Material UI, ToneJS, ABCJS, CloudFlare (Pages, Workers, D1 Storage)
Next: Add an AI assistant to the ABC editor - editing ABC text gets painful fast.
My point to help to build your own MentalOS that works for, to live smoother lives without huge up and downs.
-https://salespark.app/apps/discount-spark: A Shopify app that allows merchants to create more powerful discount codes so they can create stronger offers for their customers.
What I recently built but didn't find a successful product market fit:
-https://wordazzle.com: A word game that's designed to expand your vocabulary with exceptional words.
-https://spicychess.com: Chess, meet boxing! Imagine playing chess BUT you can also smack your opponent. Now, if you smack em enough times to drain their health completely(yes, you have a health bar), you can steal their turn. It's fun, a little evil, but after thousands of $ spent on marketing, never found critical mass.
Trying to keep it simple but I can already feel some "design pressure" to think about making the DSL more complete (language) by adding features like loops and variables. Still early days!
I’ve been struggling to find substantive traction, so I’m trying to niche down to make the tool really helpful for people who want to quit their jobs.
I built a rudimentary planning and forecasting engine, and am trying to run paid ads to see if the signals resonate with people. I don’t love ads, but maybe trying to understand them will further inform my opinion on them.
One thing I would love to come up with is a way to make the app fully local first, while continuing the ability to sync accounts via plaid. It would be great to not be able to see people’s data at all. Im trying to figure out if there is a good user experience I could provide while minimizing the amount of data I actually have access too. Maybe this feature won’t matter to my primary customers though, I’m not really sure.
I still have a ton of fun working on it, and if it never really makes any money I consider it a great success for my personal learning.
Link for the curious:
I've used my app in various forms for around 5 years, rewritten multiple times. But now I'm creating surrounding tooling to help others put my mental model for personal life prioritize to use. I'm writing in the "Saving Spoons" Substack as I go, trying to explain why and how I do things, with advice for others trying to do the same thing.
I have worked as dev in many different constellations of the years, and seen many teams choose between bad options like delay feature launches for manual translations, ship incomplete translations and promise "we'll translate it later," or lately use ChatGPT/LLMs that lose consistency/context and require coordination.
Localhero starts from the premise that translations are part of CI. New strings get translated automatically in GitHub Actions, with glossaries and style guides so it sounds like your product and not generic AI output.
Goal is to help product teams ship localized features without all the coordination/delay.
Website: https://ngonella.com/
I have a bunch of ideas and small projects I would like to write about, so I'm really excited about this.
[0] https://apps.apple.com/us/app/reflect-track-anything/id64638...
This involves making it lazy for polars, allowing it to read arbitrarily large files no longer requiring loading the entire dataframe into memory. When a large dataframe initially displays, no summary stats will be available. Summary stats are computed in the background in groups of columns. Then results are cached per column. To accomplish this I wrote a polars plugin in rust that computes hashes of columns. Dealing with large data like this is tricky, operations sometimes crash, sometimes take all available memory, and sometimes they just run for a very long time. I have also been building an execution framework for Buckaroo. It uses multiprocessing based timeouts, and the caching to execute summary stats in the background.
Being able to control the execution, recover from timeouts, crashes and memory exhaustion opens up some interesting debugging tools. I have written methods that take arbitrary groups of polars expressions and produce a minimal reproduction test case through a git-bisect like process.
All of this assures that if individual columns of a dataframe fits into memory, summary stats will be computed for the entire dataframe in the background. And because it is cached, the next time you open the same dataframe, the stats will be display instantly. When exploring data I do this in an adhoc way manually (splitting up a dataframe by columns and rows), but it is error prone. This should all be automatic.
I will be presenting this at PyData Boston in December.
The Column's the limit: interactive exploration of larger than memory data sets in a notebook with Polars and Buckaroo
Things like, “get xyz a birthday gift”, and it finds the contact and sets the reminder for a few weeks before the birthday.
The source data is calendar and contact info, but the nice thing about local models is that no data gets sent to providers, and the app can be cheap
Cheating in exams has quietly become a global industry — from small university tests to national certifications and professional licensing.
We’re building https://trustexam.ai that protect the integrity of high-stakes exams and certifications — from universities to government licensing and professional testing.
Our focus now is on scaling this globally and using ethical “white-hat” research to understand how people cheat and how technology can rebuild trust in digital assessments. What’s the best way to make that impact worldwide?
I'm exploring building a weekly curation service for professionals who want to write on LinkedIn but struggle with "what's worth writing about."
The thesis: In the AI era, execution (writing) is commoditized. The real bottleneck is editorial judgment... knowing what topics matter before they're obvious.
The concept: Weekly email with 5-7 curated topics (tech trends, policy shifts, market movements). Each topic comes with sources, multiple angles, and context Choose your perspective, AI drafts a polished article
Why I think this could work: I've been manually doing this for myself for years. Pattern recognition at scale is hard to automate, but pairing human curation with AI execution might work.
Target market: ~30M professionals who should be building thought leadership but don't have time to spend on research.
Current status: Validating demand before building. The hard part isn't the AI, it's systematizing the trend-spotting and curation process without losing signal quality.
State manager isn't there yet, but it's coming.
There is a PowerToy thingy that's similar but it's full of options and command-line flags. My version has no options, it's just a tray utility that can be toggled on (green) or off (orange) with double-click. There are also physical mouse jigglers but they're cumbersome, and many have visible mouse movements, which is extremely annoying (not all of them do this but many do!)
The full install file is just 100Kb, works on all versions of Windows starting with Win7, installs without admin rights. Can't live without it!
I need to make a website for it but I'm procrastinating on that one last step...
Also working on a calculator app that can be resized to large sizes (think half screen on Mac), because I can’t work with small calculator apps on my Mac.
I have looked for an app that could give me exactly this for a long time but i couldn't find one i liked, so i made my own.
https://nauu.app - link to appstore inside
Let me know what you think! I would love some feedback!
I wanted a simple retrieval index to use splade sparse vectors. This just encodes and serializes documents into flatbuffers and appends them into shards. Retrieval is just parallel flat scan, optionally with reranking.
The idea is just a simple, portable index for smaller data sizes. I’m targeting high quality hybrid retrieval, for local search, RAG or deep research scenarios.
SPLADE is a really nice “in-between” for semantic and lexical search. There’s bigger and better indexes out there like Faiss or Anserini, but I just kinda wanted something basic.
I was testing it on 120k docs in a simple cli the other day and it’s still as good as any web search experience (in terms of latency) — so I think it’ll be useful.
We’re still trying to clean up the API and do a thorough once over, so I’m not sure I’d recommend trying it yet. Hopefully soon.
I also wrote a longer technical post on the maths behind it: https://medium.com/p/292c755a6ceb.
There's an agent monitor which intercepts requests either using a LLM proxy or hooks, that gives you full telemetry into the agents + MCPs used. And a MCP gateway that enables centralized deployment and securing of MCP.
I wanted fast search and filters for my Evernote archive so I could drill down and surface exactly what I was looking for.
There's also a Web Clipper extension for Chrome.
Demos:
Search and curation: https://www.youtube.com/watch?v=z4QSIoUL4Uk
Web Clipper: https://www.youtube.com/watch?v=8F7QoC7X3fs
Search inside PDFs (jumps to page + highlights snippet): https://www.youtube.com/watch?v=t0X9sD-938Q
It's free while in beta, would love feedback if you try it.
I'm building Your Next Store (YNS); it's a Shopify alternative built with React and Next.js.
We provide an opinionated boilerplate tailored for tools like Claude or Codex, so designers and developers can build storefronts faster and more easily. It enforces a clear structure to start from while keeping full control over design, animations, and the overall storefront experience. It’s built on top of Stripe, with our higher-level commerce abstractions, like "add to cart", "checkout", "pay", "browse products" etc; plus a Commerce CMS so merchants can manage everything smoothly once their store is live.
If youre planning to sell something online and want a modern solution, hit me up! :)
Here's a demo / trailer that shows it off:
https://www.youtube.com/watch?v=NNHSTfWbkaA
If you're into movies or filmmaking, it's a fantastic AI tool for consistent, fully-intentional scenes with deliberate set and actor blocking.
It's also the cheapest model aggregator service out there. You can log into every AI image and video provider directly and don't have to pay me anything to use the tool. You can use your Sora account, Midjourney account, Grok account, etc. It'll soon let you log into other aggregators like OpenArt, plug in your FAL API key, etc. so you can use your credits/funds wherever they happen to live.
Unlike the other "model aggregator" websites like Higgsfield, this is a desktop app written in Rust that you can keep. It also has highly intentional 2D and 3D design surfaces especially built for design.
Text prompting sucks for artists and designers, so I'm trying to put image and video design onto canvases that you can intuitively mold like clay.
Here are some short films made with ArtCraft:
https://www.youtube.com/watch?v=H4NFXGMuwpY
https://www.youtube.com/watch?v=tAAiiKteM-U
https://www.youtube.com/watch?v=SuVW8l-_O3I
Would love to hear feedback if anyone tries it out.
There’s a companion website: https://iwillnotdrinkwithyoutoday.com
I wrote the book in markdown, stuck it in a SQLite DB and wrote a parser to put all the data in static JSON so it loads very fast.
I also created a new personal homepage to update my presence on the web as a published author and experienced leader and technologist: https://davidbyrondrake.com
Book was released less than a month ago—growing it organically like a startup has been fascinating in terms of marketing, sharing, building, and measuring success.
Have been utilizing my acting skills again with readings from the book on my Instagram and TikTok.
Having a really good time with it!
https://donethat.ai Passively processing screenshots is obviously pretty sensitive, it has an option to bring your own (local or remote) LLM, otherwise I process with gemini and never store any data.
It's in beta right now so if you want to try it you have to enable "proactive chat" in settings.
I also made a list of similar tools out there: https://donethat.ai/compare
The idea is controversial as proved by the resistance to Recall.
Morrissey should be your pet (stop me if you think you've heard this one before)
It should start doing what Instagram is doing and transform your activity into visual feedback that is fun to explore by you or the people that you want to show to, what you did throughout the day.
Cupcake is a governance/policy-enforcement layer for agents. Its innovation is binding OPA/rego to agent runtimes (via hooks).
I do not believe we will every strictly rely on "better" models in the wild without deterministic guarantees or ways for enterprises to factor in their own alignment - system prompts dont cut it.
https://github.com/eqtylab/cupcake
Stay tuned for the formal release here in a couple of weeks.
[1] https://github.com/anthropics/claude-code/issues/712
Cupcake GitHub: https://github.com/eqtylab/cupcake
My other project is https://eggexplorer.com This is a site I wish I had when building out my flock of chickens. It allows you to see the different characteristics of chickens and which hatcheries sell each different breed. You can also see which hatcheries sell hatching eggs for each breed as well.
I also created and maintain a Russian "newspeak" dictionary: https://github.com/alamzin/az/
https://news.ycombinator.com/submitted?id=whoishiring
Edit: oops nevermind it's a goner.
It's going fairly well, I'm more or less as feature complete as I want to be. I might do something addon-like at some point to make scaffolding apps with shadcn, tailwind, prisma and friends a single command. Like shadcn does with components.
Feedback welcome!
Of relevance - my review of Code Complete: https://www.youtube.com/watch?v=QlY0EGWp7rw
Fair warning to any others: It's mostly fantasy and sci-fi with the occasional tech book thrown in
- Local-first app for comparing hardware builds, down to the individual component feature level: specs, benchmarks, even cpu extension support, lanes, how many speakers in X laptop, dolby atmos? screen panel manufacturer(s), etc. Basically, no-nonsense real product comparison for transparent and fast decisions.
This week we're building out the UX around formatting and this month we're building a more robust set of integration tests and integrating with a large industry platform.
The goal is to bridge crypptocurrencies and local mobile wallets to make crypto useful in everyday life — not just for trading, but also for online payments.
A few key features:
Mobile money integration (MTN, Moov, Orange, etc.)
Instant buy/sell of USDT, USDC, ETH, and other assets
Crypto payment gateway — businesses can now accept stablecoin payments directly on their websites
I’m currently focused on improving liquidity and expanding to more countries.
Would love feedback from the community — especially around :
- Liquidity and Marketing to find the first users.
Happy to share more details or collaborate with anyone working on similar problems.
Website : https://ciexchange.xyz/
Fran here. I'm building a niche tool for designers and architects to create AI renderings in seconds with no prompting skills, no ComfyUI installs, no chasing the latest Nano-Banana, Flux, or any other GenAI image model. I called it RenderAI. Want to make it simple and fast.
We already have thousands of users, which confirms there is a real need. Still, I’d love to get honest feedback. How can we stand out? Feel free to be blunt.
Check out https://RenderAI.app if you’re curious.
https://feedbun.com - a browser extension that decodes food labels and recipes on any website for healthy eating, with science-backed research summaries and recommendations.
https://rizz.farm - a lead gen tool for Reddit that focuses on helping instead of selling, to build long-lasting organic traffic.
https://persumi.com - a blogging platform that turns articles into audio, and to showcase your different interests or "personas".
I'm actually curious how you get the data from reddit! Are you running your own scrapers or buying the data?
also small typo `State of art AI agents` -> State of the art AI agents
One thing I think may be cool, is put a thumbs up/thumbs down link in the email to track sentiment of the links you share. Some links are really cool, others I am not interested in at all, it may be useful to capture that info.
I would visit a site daily if you expose some of that info publicly (like 49% positive 51% negative for a link), to see how my sentiment matches your wider audience.
(1) For one product I am working, I have been working on a custom reporting language for producing high quality PDFs. I used hy.py as a basis to make it LISP-like.
(2) I need to make a Django postgres site that I am running more reliable. Earlier I was experimenting with making static HTML renderings of the pages. That is certainly nice, but it took several hours to reproduce the site. I am currently prototyping making read-only replica of the database in SQLite (the database is only 1 MB) and hosting it on CDN, and then pulling that for the read-only replicas. The database export takes only some seconds.
(3) I vibe coded a iOS app using that same SQLite database that fetches it from the same location. It was surprisingly simple. It seems much simpler than using Flutter or React native.
It's called Stagehand (https://github.com/browserbase/stagehand) and we just released v3, which is a total rewrite.
I rewrote Playwright to run completely in a Chrome Extension without CDP or chrome.devtools for no practical reason at all. I started to do it like Forest Gump started running. It can't get past bot protection so pretty worthless from a browser automation point of view. [0]
What I don't understand is why the need to rewrite Playwright instead of just patching it. Playwright (or Puppeteer) has addressed every edge case that has come -- especially race conditions which are a monster to deal with -- up over the years and by the time you do the same you will have Playwright.
Why is rewriting or rebuilding Playwright from the ground up needed?
[0] https://github.com/adam-s/cordyceps/tree/main/pages/side-pan...
I think there's a lot of potential for AI to improve the way we organize and manage our inboxes, while still letting us keep control over it.
What I've learned is that there are a lot of little features that make up a good email client that you may not even think about when using one, like threading, quote blocks, even what email address(es) to autofill when you reply to an email. For an app you use potentially for hours a day, the polish and "last 20%" makes a huge difference - and takes a while to build!
If you have any feedback, especially on what features are most important to you in an email app, I'd love to hear it :)
I don't like the idea of a centralized system to flow all of my email accounts through. I think this would work better as a localized agent that runs against my account (more like an email reviewing system vs a centralized email monitor). That would be less of a privacy concern, in my opinion.
Market is brutal though man. She hasnt gotten an offer after so much trying
It sounds silly but Taiwan really is this convenient - you often can see 2-3 stores from one spot. Here[2] one route where you can actually link 7 convenience stores in a row! Now trying to make maps look a bit nicer with mapbox.
[1] https://craftmygame.com/game/convenience-store-marathon
[2] https://craftmygame.com/game/convenience-store-marathon/rout...
https://terminalwire.com streams a TUI/CLI from web apps without having to build an API and
I recently finished 45 videos at https://beautifulruby.com/phlex, so now I’m talking more about them and
Updating https://sitepress.cc to work with Rails 8.1 and thinking about another set of videos for it at https://beautifulruby.com/sitepress.
Test system uses ADCs, DACs and a DDS to produce a sine wave that simulates wheel speed.
I would rather be fishing.
Here's Hirevire’s #buildinpublic stats for October 2025!
$7,275 MRR (+13.74% MoM ▲)
3.2 years since launch
8.9K unique visitors, 2.5K from Organic Search
Current features include:
- Live material price list updated monthly (based on prices at local shops)
- Conceptual 2D/3D floor plan generation following Ghana Building Standards (development in several phases using procedural floor plan generation)
- Construction management dashboard to track project stages and conversations between project manager, mason, carpenter, etc.
- Printable material cost breakdown
TODO: A contact listing for local construction services
I would love to have feedback, thanks.
Music player that can organize album collections from different services like Spotify, Apple Music and Bandcamp, Discogs, and show detailed and high quality information that can be searched and filtered.
I was tired of repeat, sponsored, and "safe" music suggestions from Spotify, so I built a discovery engine that puts the control back in the user's hands.
The core idea is simple: You define a "Discovery Model" with explicit constraints (specific genres, release years, track popularity, etc.). The app then uses this blueprint to source tracks.
The results are fresh for two reasons:
- "Known" Track filtering: Excludes all songs saved in your library and recent listening history.
- Active Curation: Uses your custom model, not a vague, opaque algorithm.
It’s built with a local-first mentality and a focus on privacy. No black-box AI "vibe" mixes, just pure, objective discovery based on your criteria.
Hope ya'll find some new gems!
A "discovery algorithm" that I used (works great for jazz) consisted on looking up which musicians played on an album that I liked on discogs and searching for more albums from them.
I am also a huge Discogs fan and unheard.fm actually leverages their APIs to aid with discovery ;)
You need to know "does this guy look hurt"? The enemy HP bar can be set to either an actual percentage, or set to have cracks in the bar to signify a range of damage. Does only person take notes? Personal notes are shareable and there's a section for community notes. Do you have enough perception to notice a hidden door? The UI can be set to go off passive perception and give you those notifications automatically.
It's still in early alpha testing with friends, but it should eliminate general GM pain points to encourage more groups to form.
The idea being able to compare measurements to see what mastering you're really getting - because they are NOT all equal. With the remasters and stealth replacements on streaming, it seems like every other month I wake up one day and my favorite music sounds worse (or is gone...). Now I can measure it and help find what versions I really want to collect!
I may end up trying to make a fingerprint database/tool that sits in between MusicBrainz and Discogs. That way hopefully the community can standardize and quantify some of this info that only lives ad hoc in Steve Hoffman forum threads or partially on sites like https://dr.loudness-war.info
besides that if you could be more efficient than carnots cycle at two temperature you can spontaneously extract heat from a cold object and out it in a hot object without any input energy , this would mean you can have perpetual motion . we are not just going to bump a kardashev scale , were going to truly max out and go beyond.
fun fact the U S patent office has been bogged down by so many perpetual motion applications they have made it policy to outright reject such applications without a working model satisfactorily demonstrating it
It should achieve such efficiency with air heated to 150C and ambient temp of 20C. If you heat air so that it expands more than 2x, it will start to lose efficiency.
BUT - this is all theoretical, I work on simulation that will confirm if it works. It might not, I might have made some big error in thinking how it works, but I searched for 15 years on some way this should not work. I contacted two physics professors specializing in thermodynamics and they couldn't find a way this won't work, both said "Yeah, but to tell more, we need prototype or simulation".
But now with travel and visa guides to help remote workers become productive in Japan and South Korea ASAP and give them visa guidance if they want to stay a bit longer.
I’d like to add importing from a Pinterest account and continue adding support for all the creative implementations of the schema.org recipe format that different sites use.
[0] My partner has a bunch of handwritten family recipes, so I’m trying out an optional extract from a photo of a hand written or magazine recipe that uses AI. Not required and I may pull it out into its own service that spits out schema.org recipes. We’ll see.
Transform and move data between any format or database instantly. No dependencies, no config files, just one command.
Have you tried tabsdata and they're implementing with Rust with Python binding, with around 100 MB standalone binary [1].
It advertised as pub/sub for tables but it can perform ETL as well.
[1] Tabsdata: Pub/Sub for Tables:
I'm happy where it's landing so far but also appreciate any actionable feedback to make it better (!). Under the hood, it packs a Rust Axum API, plenty of ffmpeg, and some hobo infrastructure [2] here and there.
[1] - https://nid.nogg.dev
These cards are super versatile prompts mediums and haven't been fully creatively explored.
Hoping to actually take this one to something polished as opposed to the many half-finished prototypes littering my git repo over the years. I've discovered (always knew?) that heavily cutting scope is the best way, and been successful thus far.
It gets pretty boring/unbalanced by ~150 turns, but I have some ideas on how to fix. I'm still playing with ways to help de-clutter the board and make use of the economy aspects.
After some false starts with ai-gen art, I had fun learning to color the pixels myself. The process wasn't as scary as I'd thought and the results are better than I hoped.
https://tower3.dreamofninjas.com/
Inspired by TripleTown from the wonderful studio Spry Fox.
The goal is lightweight, composable tools with clean interfaces that respect user agency and privacy, provide technical clarity, and make you a better photographer by encouraging mastery over your tools and offering new ways to approach picture making. Also broadly honoring the (almost) 2 century old history of the craft and drawing inspiration from pre-digital processes and approaches.
Got a number of updates to existing apps and new ones in the works, I’m excited for the full long term vision I have that I plan to sum up in an essay at some point.
Currently Apple platforms only but the plan is also to break out of that down the line.
We offer both a hosted version (https://oncallburnout.com/) and a self-hosted one (https://github.com/Rootly-AI-Labs/On-Call-Burnout-Detector).
Currently working on a website that lets you add any form of troll CAPTCHA to your website or allows you to create a redirection with shortened link.
It is a fun project and oh boy I really enjoy solving CAPTCHAs on random websites.
As a second-time founder, I've watched the SaaS boom create an ocean of best-of-breed tools. Each solving one slice of the problem. One solving it end-to-end.
Now every company runs on a patchwork of apps, APIs, and workflow hacks just to keep customer context alive. It's insane how normalized that's become.
RootCX starts from the opposite premise: the customer is the core, not the app. Everything: CRM, support, billing, workflows, AI, ... plugs into one shared customer base. Less juggling tools, more actually running the business.
There’s so much nuance in HN threads that often gets missed elsewhere, so I decided to put start this newsletter.
Initially started as an experiment for 10 issues to see ig it gets traction, 6 issues in it’s at 68 subs and probably will continue for unlimited time period.
Link to the latest issue: https://eomail4.com/web-version?p=01b6f55e-bb2d-11f0-bcb3-f3...
Link to subsscribe: https://hnxai.eo.page/9h7q4
It's an instant remote control built for shared spaces. Anyone can use the remote with a QR code on their mobile device. Since its IoT there are lots of interesting features including permissions, various remote interfaces, universal remote capabilities and more.
Think n8n, but you bring your own code and optionally even your hardware to execute pipelines.
Free on iOS + iPad + macOS (Catalyst), and I'm working on adding additional skins, premium features, and Android soon! :)
It lets you turn any article, YouTube video, or PDF into summaries, mindmaps, podcasts, chat conversations or infographics that match how you learn with just one click.
We just launched this week the Chrome extension so you can do all this in one click on any page, no login needed (with generous freemium usage).
https://unrav.io https://chromewebstore.google.com/detail/unravio/mbnapibcjcf...
Would love feedback from fellow builders.
And also building as a hobbie a procedural universe generation engine that simulates galaxies, solar systems and planets in real-time. Everything is generated from a seed with actual orbital physics, seasonal changes and so... Built with Python/Flask backend too but Three.js for 3D visualization and React instead of Vue3 as in the prior one. Think No Man's Sky vibes but as an explorable simulation engine really D:
The game has a farily simple frontend, but there is a fairly complex constraint solving algorithm as part of the puzzle making process. What makes the puzzle quite unique is that you can't "guess". You can only make guesses that are provable by logic. The algorithm ensuring this has worked flawlessly for months now (though I've manually inserted some silly mistakes once or twice).
Today's puzzle is one of the hardest to date. The difficulty resets on Mondays, and then gets harder again towards Sunday.
Think Google Analytics + Posthog designed for crypto users and apps!
I've learned a lot about data engineering and analytics in the past year.
The work is mysterious but important.
https://github.com/homecluster-dev/homelab-autoscaler
https://autoscaler.homecluster.dev
Works with any mechanism to turn on and off nodes(IPMI, WoL...) I have some nodes that I turn on and off via a curl to homeassistant to the power plug.
The main idea is to gather tech articles in one place and process them with a LLM — categorize them, generate summaries, and try experimental features like annotations, questions, etc.
I hope this service might be useful to others as well. You can sign up with github account to submit your articles as well. I would appreciate any feedback.
It mimics the official USCIS forms but autosaves locally, validates inputs, and lets you download a ready-to-submit PDF - no signup, no uploads, no tracking.
It’s meant for travelers and immigrants who just need to fill a form once, and as a side effect, it’s become a great acquisition funnel for my paid B2B product, VisaSimplify, which helps immigration lawyers automate client intake and PDF mapping.
Mixing and matching watches with different straps is something that I really enjoy doing. It's not often easy to tell ahead of time whether the combination will work.
Here’s what I plan to add that other tools don’t have:
- Super smooth Anki integration — saves words/sentences with full video context, native audio, screenshots, etc.
- A structured way to improve step by step.
- Real dictionaries for each language (as long as I can afford them ), not just AI translations.
What I’ve built so far:
- Word meanings in real context
- Real-time subtitle translation
- Auto detection of common collocations
- Target languages: English/Spanish/French/German/Japanese/Korean/Chinese. Native languages: English and Chinese.
If you also like learning languages through videos or podcast/audiobook, I’d love your feedback and ideas!
It will allow users to fully manage their calendar in a Gantt chart. Complete with customizations like dependencies between events, custom colors for time blocks and custom icons for single-day events (“milestone”-like).
Ganttify is a Gantt chart add-on for web applications or services that can benefit from a Gantt view. My goal is to expand the number of integrations for Ganttify and release a new integration every month or so. If any of you have an interesting (niche or non-niche) idea to integrate Ganttify with feel free to contact me.
https://poker-study.onrender.com/
I really like the range memorization tool from GTO Wizard, but want to be able to put in custom/arbitrary ranges to test. I also want to be able to import and simplify ranges from other sites. Work in progress, but every scenario is url encoded (warning: subject to future breaking changes) and I use those urls in for links in my Anki decks.
Instead of sending the page's HTML to an LLM, Hikugen asks it to generate python code to fetch the data and enforces the generated data conforms to a Pydantic schema defined by the user. I'm using this to power yomu (https://github.com/goncharom/yomu), a personal email newsletter built from arbitrary websites.
I've been running it for over a year, but now I have fixed it up and made a little landing page to see if there's interest for a stupid-simple price watch service like this (no need to install an extension or create an account):
It's currently just a "maze" type game where you have to get to a goal square in the minimum number of moves (there are rocks placed on the board to act as obstacles)
I'm in the process of making some very simple games like battling knights where they leave poo and you try to trap your opponent.
Fun making it even if it's just the two of us who'll enjoy it :). Partly I wanted her to learn that you can create for the internet not just consume...
1: https://github.com/google/leveldb
Tweaking the piezoelectric driver PCB design for the micro-positing microscopy stage project. The Nanomotion piezoelectric motors were not meant to be used in the manner I chose, but it is fun to push the limits of technology.
Finishing up some custom 1U mounted hardware, and getting a batch of test PCB soon. Bend radius came back 1mm oversize, but this was acceptable for a single run item.
Also involved in several other projects maybe 3 people would care about. Doing a custom FPGA PCB is not very fun unless encountering that rare class of problem CPU/MCU simply can't handle cleanly. =3
I am pretty sure I can get 70% predation rates +/- 10% . Unfortunately, I'm blocked by the lack of hardware. Kind of not-quite school affiliated (so I cannot really ask for national computing resources), so I am trying to build a single threaripper pro node on my own. Hurts the wallet, but if added to slurm as module, this can have implications.
the service is a suite of online vetting and due diligence tools for website flippers, Fb marketplace sellers/buyers and Tiktok shoppers
The domain has an interesting backstory. I acquired if it n 2022 from Epik after they stole the $10,000 I had deposited into their Escrow service. The money was meant for acquiring a newish stable diffusion hosting website that was competing with civit.ai. When the Epik issue was discovered, the seller pulled out.
Acquiring that website could have changed my life.
A non-bloated HTML, CSS and pure Vanilla JS framework to create dashboards.
A cross-platform JSONL viewer where I am learning ImGUI. Haven’t found any other open source GUI framework that‘s small, provides out of the box components for tables, sorting
I've been posting a bit on https://www.reddit.com/r/BlossomIdleGarden. I plan on opening up a beta later this week.
The real goal is to figure out how to use code gen AI (Cursor) effectively for data science projects and to figure out rapid deployment. I'm pushing things a bit harder than you typically see in demo apps (e.g. different chart types (e.g. violin plots, heatmaps, line charts), interactive charts, JavaScript widgets interacting with Bokeh charts, etc).
I'm trying to figure out all the skills, processes, and training you need to build a technical app very quickly. I'm at the deployment stage now.
We focus on making it as fast as possible, integrated into CI, MCP for local dev, and support both an autonomous (we call it discovery) and guided test creation approach.
We believe that in the era of vibe-coding, quality is key, as we are lazer focus on building a solution that scales with your product, and removes the burden of QA from your team.
Technically, we built an in-house engine that is in charge of generating the tests, that speeds up and gets better the more you use it.
I have exercises:
- on turtle, using my DSL with three commands: 4[100 r90] draws a square
- on robot (blockly)
- a 2D replica of Replicube to teach conditions in JS.
I've started vibe-coding it two months ago and I add new stuff whenever I need it for my classroom.
I'll soon add signups.
The platform will be free forever, monetized via banner ads somewhere in the future. The target audience is middle school teachers of CS.
Been posting some screenshots to my feed, if you want to see what it currently looks like: https://bsky.app/profile/cameronbanga.com
Have about 100 spots left on my current TestFlight if anyone is interested: https://testflight.apple.com/join/RRvk14ks
It handles the complexities of parsing OpenAPI and rendering output code, while providing the end user with full control over generator code via string templates.
Imagine something like React but for code generation where each code generator can compose its own output using the outputs of other generators.
You take a selfie, pick document type (China Visa online, Green Card lottery, etc) and the tool knows what size it should be, head height, shoulders position and other requirements. AI is used to detect head position, emotions, objects and other details to provide better recommendations
Check it out and let me know what you think: https://ishotaphoto.com
Would love to hear your feedback if you try it out!
Here's the github repository: https://github.com/aabiji/logbuddy
A tool that helps you customize your resume to each job ad.
OAuth is here to stay for major email providers (Outlook, Gmail, etc). Microsoft is dropping support for standard/basic authorization in April 2026, and Google has already done this. But plenty of devices and systems don't (and may never) support OAuth.
Auth-Email is a relay that lets you continue using traditional email auth methods even when your provider requires OAuth. Lots of other more advanced features too: all OAuth grant types, add-ins to modify behavior and lots more.
Building this documentation website using Docusaurus. This is my first time using Docusaurus, and it feels like a very nice tool for quickly developing a documentation website.
[1]: https://hns-cli.dev/
You create a writing style via existing text examples, blog posts or URLs, and Arcitext extracts a "writing fingerprint" which it benchmarks new text against.
There's a solid Markdown Editor with tools such as Tone Fit, Rewrite suggestions and Fact Check, which helps you when you need it.
Kind of like having a writing coach and content strategist on speed dial.
Website => https://vididoo.vercel.app/ Github => https://github.com/btahir/vididoo
I used it with my first child, and it helped me greatly. After releasing the support has been amazing and I recently passed 1000 downloads :)
I am hoping to extend the functionality with more insights and helpful tips (double-checked with professionals) to help young parents with the beauty of breastfeeding their newborn children.
https://github.com/HTTP-RPC/Sierra
I like the ability to declare UIs and the layout manager that Sierra has is the only sane layout manager for Swing I have worked with
An open-source, local database which collects all your personal data, hooks it to an LLM (BYO), and gives you an assistant that can answer any question about your life.
It also allows you to vibe-code (or just code) small apps on top of your data (e.g., your custom dashboard for your expenses).
I have a short demo here: https://www.youtube.com/watch?v=gqAyvENDjSA
This version is a rewrite of an earlier one and I've added some cool convenience features like "now playing" and musicbrainz integration for remembering songs.
Spec, flow and most of the UI are done. I've managed to build an Android App yesterday and will publish source soon.
No complex setup – drop in a script, keep your existing stack
Auto-generates variants for hero, copy, CTAs, and social proof
Continuously tests and routes traffic to the best-performing variants
Optimized for key pages (pricing, signup, product, checkout)
Reports focused on conversion & revenue lift, not just clicks
Would love feedback, tear-downs, or ideas for must-have features before you’d trust this on your main pages.
PS: Deeper ad→page→revenue attribution + personalization by segment coming soon.
Today, I am implementing tag-triggered webhooks so they can get triggered based on the tags assigned to messages.
Use case: for example, I want to auto-tweet all my advice messages and auto-create linear tasks for `company` todos, auto-start a cursor agent when I tag messages with `Cursor task`
For some reason, I got 16 users out of nowhere, so I added a landing page last week. The connector marketplace is next, so that I can share these sub-connectors with the other users. Need a couple more weekends.
Thanks to ChatGPT, my productivity went through the roof this year, and I finally shipped an MVP that might actually be useful.
It’s a standard Django + React + AWS stack. My raison d’être is to build an Apple Watch app that tracks match scores in real time. 2026 hopefully.
It looks simple, but I learned a lot building this site:
* To calculate age in planetary years, I had to look up their orbit and rotation info
* The lunisolar calendar took me quite some time to figure out (it is not the same as a lunar calendar and even changes by country)
* Adding the dog and cat age equivalents even led me to cubic splines
Link to the site: https://ageequivalent.com/
Also building a CMS and static site generator that runs entirely client side in the browser. Pick themes, model content an publish to clean HTML. It also makes content available beyond just the browser, eg in a command line TUI.
It started when a friend who runs a studio showed me her system: printed calendars, WhatsApp messages from clients at midnight, and sticky notes for who paid. I'm trying to make something quieter. It should feel like an assistant, not another tool to manage.
https://github.com/alganet/PHL
---
Bootstrapping from an x86 image that is mostly source text (based on live-bootstrap):
https://github.com/alganet/abuild
---
Image with many shells, for testing script for portability:
Also learning Zig. Would be cool (but a huge effort) to port Delphi’s VCL or Lazarus’s LCL to Zig and create a RAD environment.
There have been a few astrology apps, but all require you to connect with an astrologer or a pandit. This market has been in past and today, a market of exploitation for the innocent.
So, I built this app to let people read their birth chart with detailed analysis, without any such thugs. There are a few very talented experts, but they are either very expensive or difficult to find. So, it came out of necessity.
I would love your feedback on trying it out and letting me know your thoughts.
Cheers
I am always looking for more people to test and play with it or even review the code. We've got a nice little user community going.
Usually this comments drowns in the crowd of the massive amount of awesome stuff people are building, but if you find sanctum useful, hit me up. Good things are happening.
Stay happy
Most (meta)science discussion is either fragmented on Twitter/Bsky, or a bit too formal. I thought a centralised place for deeper, casual discussions might be helpful, so I'm testing that theory.
Launched a few days ago, so it might have some rough edges. I'm considering making it user-invite-only soon, but for now it's fully open for signup. I'll also move it to its own domain once I think of a better name.
entirely self service, without needing EHR integrations
able to persist and reuse the user's writing style, without actually saving any of the notes
HIPAA compliant (obviously)
Main idea:
- Portable identity - Your data/posts/reputation is yours - Client choice: Use any nostr client to reply from/to - Open ranking/Anti-Spam: Web-Of-Trust/Global pagerank - Zaps/Payments weigh more than likes (likes are cheap)
It has some dynamic features like sending excess cash or taking missing cash from somewhere else, making it quite useful.
Also, you can connect with our partner or flatmates for shared budgets.
I am actively using it myself together with my girlfriend, and adding new stuff as our demands for budgeting become more elaborate!
But thanks to LLMs, I finally decided to give it a go and got something basic working in a short time, hurrey for AI assisted coding!
Feels empowering to be honest. No idea if I will really implement the main ideas, that I have since a long time, but I know that I can now if I want to.
Has 90% test coverage, makes use of web platform tests to verify compatibility, and is in use by some larger companies already with the Navigation API soon to become a baseline in evergreen browsers.
The Navigation API effectively is async state navigations. The likes of React has recently added Navigation API support to make use of the browser reload indicator.
https://github.com/virtualstate/navigation
Along with working on a startup day to day :)
I aim to make it into a agentic system that provides you expert level CRO analysis but at fraction of the costs then those expensive CRO consultants
We're at genevabm.com if you want to check it out!
https://www.youtube.com/watch?v=ldJTjwhqKy4
Currently popular AI chat interfaces feel restrictive when exploring or learning complex concepts/ideas. I often want to revisit earlier parts of a conversation, ask branching follow up questions, connect related concepts, compare and contrast between various chain of thoughts. This UI exploration aims to solve some of these limitations.
[1] - https://highlights.email
- Transcribe voice to text (especially useful when you need to explain something to Claude code )
- (soon) select text to instantly Check grammar / Improve writing / change tone of text
- (soon) select text to Translate between languages
I discovered that I have a few 10/20$ subscriptions (grammarly, raycast, wisperflow) that do embarrassingly simple stuff I can one shot with cheap SLM. So I decided to build a one app specialized in small repetitive tasks on computer.
Tracking windows on Wayland is hard because the protocol doesn't support it. I hacked together a script using Claude Code that somehow works, but I barely understand how.
An Intent is a self-contained document that describes a user request. It is composed of three main sections: WHY (the motivation), WHAT (the requirements, often in Gherkin language), and HOW (a detailed, step-by-step implementation plan defined with tasks). This approach ensures clarity and alignment before any code is written.
- Realistic exam conversations with natural follow-ups and questions to challenge your viewpoint
- Get scored on all 4 criteria (fluency, vocabulary, grammar, pronunciation)
- Instant feedback on where to improve
- Free credits to start
There are many existing resources to help prepare for the IELTS exam, however the options are very limited when it comes to practicing the speaking portion.
When someone tries to hack your app, it detects them and serves up fake responses designed to make them think they're getting somewhere.
The system learns from attackers behavior and serves ai generated decoys to waste their time and frustrate their efforts.
It's basically a trap that gets smarter the more attackers poke at it.
MVP version at https://github.com/0tSystemsPublicRepos/IfritProxy
I started it a couple of years ago as personal project to help me study for interviews. Back then, it was simple RSS feed aggregator of big tech companies engineering blogs.
Recently I expanded content library to technical conferences and indie blogs, and implemented semantic search in all the library (for example, you can semantic search by all Strange Loop videos archive).
Give it a try!
DuckDB for stream processing:
https://github.com/turbolytics/sql-flow
Lightweight kafka stream processing using DuckDB as the execution engine. 300MiB runtime can easily handle thousands of messages / second.
Working on a Kafka Connect alternative:
https://github.com/turbolytics/librarian
Right now mongo replication (through changestreams) is supported to kafka. Working on Postgres support right now.
It has helped me a lot to keep focus while working and track distractions. It might be too tailored for my needs, but have a look: https://zookeeper.fyi
It’s no where near done
But as always I am also building https://retro-board.it for doing retros and sprint poker
And https://flags.gg for feature flags with quite a lot of agents (rust, go, react, and others)
https://github.com/htin1/toktop
I use codex and claude code daily, also build apps with openai and anthropic api keys, so i always go to openai dashboard and anthropic dashboard to track my usage. Since I spend most of times inside cursor or terminal, I wanted to quickly check my usage without leaving my terminal/ide, so i built this!
It's open-source, MIT, and built with ratatui (awesome name).
Future-proofed and will work on AI spam in the future too, unlike current spam filtering methods.
I'm involved in 3 projects that are solving this problem from different angles:
It's starting off as a MacOS app because that's the machine I have. I didn't know Swift or SwiftUI when I started. I now know them somewhat, but the entire app has been vibe-coded. This has made it slow going. Very "1 step forward 2 steps back" until I switched from Claude Code to Codex and GPT-5.
I'm hoping to start an initial beta within the family in the next week or two, and then a wider round in January.
I'm currently working on Dice of Sending - for when you want to roll physical dice but you play DND online. This is mostly just for fun with my DND group.
I’m documenting the journey in monthly devlogs.
Here’s the first devlog: https://youtu.be/cSY-C8oiUU8
You can check it out here. We're very close to launching a v1: https://dbpro.app
I've always loved the "What are you working on" post. So many niche and interesting projects!
Right now my app allows users to export build metadata as JSON which can be interpreted by LLMs for analysis, but I'd like to have this work on-device.
After a 2-minute voice conversation, Sage generates a personalized 6-module roadmap with build-first projects. It checks in by voice, analyzes your reflections, and regenerates your plan if needed. You can invite friends to your Support Squad for accountability.
The biggest insight so far is people don’t want “infinite content.” They want structure and someone who remembers them.
would love feedback!
Create a script for a product demo or tutorial for your app using an extension. The script is used to generate your product content in multiple formats (narrated video, interactive demo, looping animation, and in-app guide). Whenever your product changes, just update the script and regenerate everything. No manual re-recording of video, syncing of audio, or any other post-production steps.
Maybe a bit too complex project for me to handle but hopefully will take it somewhere
Go check it out, its free to try, with a one-time purchase full version:
https://apps.apple.com/app/apple-store/id6475267297?pt=11914...
I am working on creating a standardized set of paths and third party libraries that work seamlessly across multiple developer teams. Allowing library upgrades to happen transparently in the background. This will enable developers to focus on business specific logic and not have to worry about the intricacies of the build system and allowing to "magically" work in the background. This is allow foray into Bazel and using it as a learning exercise to master it.
The hope is that I can bring more procedural workflows to graphic design so you can make generative branding systems and parametric identities
(or just make sick posters)
you can try it in the browser, no login no tracking https://sevro-app.netlify.app/
I noticed that the SVN CLI workflow is a bit dated and I think there's room to create a graphite like experience for svn, especially focusing on stacking.
I am set out to: - create a modern CLI to interact with SVN
- create a subsystem to run alongside the svn repo (similar to gitaly)
- create a good looking web UI to browser the repo, review code reviews, etc
- Market Pulse Agent — analyzes the last 24 hours of global and US market news to generate actionable stock-trading signals.
- TechPulse Agent — tracks emerging tech trends and surfaces interesting GitHub projects and engineering updates.
Both are live on my site: https://kryptunes.com
Still iterating, but the goal is to build a fully automated, AI-powered research companion for traders and tech enthusiasts.
So far I'm within spitting distance of the winning entries without using any unsafe code or bit twiddling tricks or custom JVMs or anything like that, and having all the concerns nicely separated and modularized.
Excited to share soon!
Working on: Offline Youtube playlist download manager. It uses YT-DLP to get all my music and then enriches artist/track metadata using MusicBrainz, AcoustID, Discogs, LastFM, Spotify. Runs as an offline webapp so I can browse and play music locally. Might play around with recommendations for fun later.
Happy to publish the repo if anyone else would find this useful.
Biggest trick is incorporate deep-sleep as much as possible and "waking up by interrupts". That has a big impact on your software designs.
Device driver plugins used to have a very simple flat key value, strings only format, with a set_config_properties function to tell the host what kind of UI to show.
That's all getting replaced with JSON schemas, with some auto-upgrade shims so old config keeps working.
It's one of many things that now seems completely insane, but made sense when I had way less experience a long time ago!
Also still on and off working on my BLE/WiFi based Meshtastic-alike.
So far all levels have been handmade pixel art. I’m now testing machine generated puzzles with random “pixels”. This is an interesting challenge because I still want levels to be solvable and fun. I recently released 15 new puzzles like this and I’m preparing a new update with more.
[1]: https://apps.apple.com/app/nonoverse-nonogram-puzzles/id6748...
Enjoying writing some really fast Zig implementations of hand evaluation and CFR-based solvers.
Right now, I'm adding a feature to practice writing Kanji and another that creates AI comics based on vocabulary you've learned.
Demo to try it out: https://kumi-play-web.fly.dev/
GitHub: https://github.com/amuta/kumi
It's fully typed. Works with vanilla JS, Vue, React, or just a script tag.
Got some feedback that it may not be the best UX-wise but let me know what you guys think!
Demo: https://devjeff.info/scrype Repo: https://github.com/DevChanQ/scrype
https://github.com/dfrankland/envoluntary
This helped me bridge the gap between installing packages declaratively via NixOS / home-manager and defining them for each project being worked in via flake.nix / direnv / nix-direnv; which was needed since most projects don't use Nix.
Most obvious features, at first glance, are no commas and no need for escape characters. Other useful features include processing instructions, extensible data-substitution rules, and support for comments. Currently only implemented in .NET; plans are to rewrite the core in Rust and provide language wrappers around that core.
Rates your sleep, tracks sleep debt, and tracks how workout timing, coffee time, AC temperature, etc influence your sleep.
2.0 is in review - adds support for recovery (based on sleep HRV, HR), and strain.
a demo video here https://x.com/rohitshindein/status/1985643097439813831
Working on this made it really clear to me how a LLM can bring real value to a backend, it excels on processing very differently structured dynamic data (something if done without an LLM would require quite specific code - which would lead to more development time and increase time to market)
Unlike traditional accounting platforms we expose the ledger model directly which enables our customers to model complex transactions even when we do not have direct support for it.
Been working on this for a month, and it uses Elixir, Phoenix and InertiaJS with React.
Currently it works as standalone player. Addition of MPD client mode opens possibility to play music on a separate device while keeping the UX of the music player that I like.
It’s similar to tic-tac-toe but slightly different of course.
Found it a great opportunity to learn about new areas of maths. Trying to figure out where to go next with it.
Video Hub App - browse your local video files with a beautiful interface (and scrub-able thumbnails to see multiple screenshots)
$5 for anyone https://videohubapp.com Free for anyone https://github.com/whyboris/Video-Hub-App
A multi-agent TUI that uses opencode and tmux to help me solve the frustrating LLM slot machine problem. I find that running 3 agents in parallel on even tough problems is enough to have one that builds what I want.
It’s also been a fun challenge to build a tool that can be used to improve itself
Most of the testing so far is English/French/Japanese/Mandarin, but I'm eager to add more languages if anyone is fluent and willing to help me evaluate the text-to-speech.
It fetches the IPs regularly via AWS API and assign them to fixed subdomains.
It is pretty new :) still developing actively.
I've dedicated this week to some maintenance tasks that are long overdue (mainly modernization of the code and the database), kinda delaying the inevitable (which is to work on harder tasks in my todo - like adding features to the mobile apps).
A small OpenGL tutorial for Rust. Focus on understanding the OpenGL-API and interfacing with it directly, with a few as possible helper libraries.
Some of the chapters I'm currently working on can be found in the preview (https://preview.opengl.zgtm.eu/, ipv6 only).
Weighing the tradeoffs of doing this calculation server or client side. That'll be an architecture shift away from my current set of background jobs fetching state and towards something more functional and on-demand.
https://play.google.com/store/apps/details?id=pipipie.game
It's currently only available on Android but I hope to bring it to other platforms soon.
I am a disabled developer who has limited mobility in his arms. I like treating games that are simple and accessible for people just to spend time.
Would love to hear any comments or suggestions!
website: https://murajah.pages.dev/
Play Store: https://play.google.com/store/apps/details?id=com.murajah.we...
Manual audio splitting tool for the above project: audio-splitter-6b3.pages.dev/
I've always been skeptical of AI-generated code. This is my first experiment with AI agents, where the full code base, implementation, debugging, and deployment are done using AI Agents MCPs.
Used VS Code all the way, i.e., all the source codes, including the code to generate the Google Play Store APK. I only reviewed the source code before committing and helped debug by suggesting ideas/algorithms.
Mostly used Claude Haiku 4.5 like 75% of the time, where it failed, switched to the sonnet 4.5 or GPT 5 codex. Interestingly, when debugging, sometimes one model struggled even after numerous iterations/feedback loops, but then the problem was solved instantly as soon as I switched to another model.
The source codes are available here:
https://github.com/wasi0013/Murajah
https://github.com/wasi0013/audio-splitter
Initially, I thought the audio splitting could be done automatically using some AI models from Hugging Face or Whisper. But the audio files have some complex repetitions; the output was miserable.
So, for now, this splitting is done manually using a Web UI (The audio splitting tool splits the large audio files into multiple small audio files, think of it like a long paragraph is split into multiple sentences.)
I will attempt again to automate this splitting task using AI, after drafting a game plan for tackling the challenges. I'm thinking of using energy drops and other similar factors to create segments.
If it works out, maybe this could be a way for me to replace the compromised Apple Music app with something that actually syncs to my music on my desktop.
Already have been told by some users that the interview prep they got from it has correctly predicted several of the actual interview questions they got, crediting its prep for their breezing through the interview rounds.
I'm really hoping it helps a lot of people!
I called it Wosp for word-oriented search and print. I released the first functional version a few days ago: https://github.com/atrettel/wosp
So I am building this https://www.leaklake.com , where you can search your name, brand, and basically any keyword.
You can also set an Alert because crawling and starping is running 24/7.
Any feedback welcome.
Live demo: https://play.tirreno.com/login (admin/tirreno)
https://apps.apple.com/us/app/queens-hourly/id6751763916
Every hour, new Queens Puzzle (LinkedIn style) is available to play. No leaderboard, no stats, nothing to buy, just pure play. Every user gets the exact same puzzle to solve for that UTC hour.
I would love to get some feedback from the community!
The protocol is fairly simple, encrypted by default, and works over lots of interesting transports.
Does the gossip flooding mean every single node needs to know about every other node in the entire mesh?
I have a project vaguely inspired by this and Meshtastic that tries to make use of existing internet tech, while falling back to local links, instead of trying to replace the Internet completely.
It's very much WIP, I'm planning to get rid of all of the automatic reliable retransmit stuff and replace it with per channel end to end acknowledgment. https://github.com/EternityForest/LazyMesh#
It works like your address is the hash of your pubkey, and you can announce that or not.
I assume every packet is probably at least 32 bytes, if 1000 people send one every ten minutes, that's going to be 700 bits per second or so, right?
It works great with lora, but each interface is it's own thing. It's not exactly like meshtastic/meshcore/etc (for better or worse) but also fulfills totally different roles. You can connect 1 interface to another, and only forward messages for particular addresses, if you want, or addresses that have announced on a specific interface, and you can control what you want to propagate/route.
You can set it up tons of different ways, so just imagine this is what you want:
- 20 ESP32 lora devices around my house, that respond with sensor-data or something - a pizero connected to the internet (via a huge TCP testnet) and lora (via a SPI device connected to some GPIO.) - These are not "secret" anyone can ask a sensor for it's data. the messages are encrypted, but they are intentionally public
If any of the 20 lora devices want to to be available to talk to someone on the internet, they can, and their announcements are forwarded, so people on the testnet know the address.
I can set it up so only messages directly to those 20 devices is forwarded, but otherwise announces are recorded (and replayed) on the pi.
Additionally, I can setup propagation for just my 20 devices, so even if they are out of range or turned off, they will get the message (from the pi) when they get back in range or turn on.
In this example, the structure of the network forms a kind of tree-like thing. Each tier of the network is scaled to the amount of traffic it can deal with: pi can deal with a ton, and is connected to internet, the ESP32s only need to deal with 1-to-1 traffic (announces don't really matter to them) and only compete with traffic from 20 devices (on the same lora network.)
These messages are pretty small (an announce is ~160 bytes, message proof is ~115 bytes.) For larger messages, you string them together over a link (a 1-to-1 encrypted tunnel.) I think a key thing though, is that not every tier of the network needs to send all the same packets. For example, not even 1000th of the "testnet firehose" gets sent over the local lora net of 20 devices, based on how it's setup here.
So, the usage-flow of this would like this:
- each sensor announces on lora, pi forwards that to internet ("hey my address/pubkey is X, and I have these cool capabilities as a sensor") - a user on internet sends a data-message to the address "hey give me your sensor data" - the pi routes that from internet to lora, and propagates (replays periodically if the lora is not around) - if the esp32 has not seen that peer, it can request an announce (and the pi will forward that both ways) - the esp32 responds "oh hey internet user with X address, my sensor data is X" - the message is sent over lora to the pi, which forwards on to internet
for very small data, if you don't care about P2P encryption, you could even put the sensor-data directly in the initial announce. "hey I have this address/pubkey and the current temperature is X" since announce "app data" is great for a very small amount of data.
It's mostly targeted at me, or others that make music, but are not piano players.
There isn't much to show currently, but I have a rhythm generator, and have been working on a chord builder. The main thing that has taken time has been trying to decide which things to add to a user interface to make it worth actually building.
People use Puter for an incredibly wide range of things, including cloud storage, web hosting, coding, AI, and gaming. Right now, we're mostly focused on improving performance and making sure that it's as fast as a regular desktop environment!
I really liked the concept of games like cards against humanity, quiplash, whose line is it anyway etc. However, there was no virtual way to play it with a group of friends. Quiplash required steam setup (which was not possible on my corporate mac). So i built this as an alternate to build upon the formula.
[still in alpha phase so lots and lots of bugs]
- self-hosted - backstage compatible (zero change if you have catalog-info or templates files) - cli - event-driven - 15-minute setup - zero config principles - lightning fast search
The project has been a huge learning curve for me - I started out as a skeptic of how generative AI could solve real problems (rather than just create noise) but now think that, like the internet, it can create a new kind of abundance that will be harnessable in all sorts of interesting ways.
But a lot of what I work on is my classes giving me less time to open source nowadays, but I have also worked in implementing and mashing new Papers coming out in Robotics. Anyone who wants to talk more should please connect!
As simple to use as a notes app, with clever culinary capabilities :)
claude-review - collaborating on documents with Claude Code, with Confluence-style comments - https://github.com/Ch00k/claude-review
Curatora filters the noise using AI and surfaces the most relevant, high-quality articles in real time — so you can stay consistent with your message without burning out.
Side Project: Sentiment analysis (±10) on news articles to be used ( along with other indicators ) for stock buy/sell recommendations.
FamilyGPT - ChatGPT for kids with parental controls. https://www.familygpt.chat/
I want to extend it with a simple overview of most recent profitable wallets to look for new "metas" that i could profit on. This project may or may not end as open source eventually, but i currently keep it private.
Built it as a personal tool to quickly look up definitions and practice vocab with spaced repetition.
iOS: https://apps.apple.com/us/app/deft-vocabulary-flashcards/id6...
Help, alpha testers, etc all welcome. Sorry RDS/Aurora users: smol is for embedded and self-hosted pg instances only for the foreseeable future.
- New ideas - Easier way for new users to try out the product. It's currently a few steps, but I want to optimize it for specific user personas.
Got tired of every single weather app and website being littered with ads. Half the time my weather apps don't load the weather maps but the ads work fine, c'mon! So decided to start my own; here's what I have so far...once I iron out the site I'll start on the Android app.
Feedback welcome :)
I have a couple minor suggestions, do with it what you want:
- I'd disable the fade between two visualizations on the live weather radar, it's hard to scroll through quickly now.
- Personally I'm always looking for the hourly and daily forecasts. Currently they are split by the live radar. I'd either move them all above or all below the radar if you want to keep this format
There’s a free course for true beginners with no login/sign up required. https://listenreadinteract.com/start
Landing page + waitlist: https://dailyselftrack.com/
Only bootstrapped products by indie hackers and small teams. No VC/Angel backed startups.
The idea is to give indie creators a space to showcase their apps and early adopters to discover great alternatives to major players.
A fun project with lots of challenges finding word lists, refining them, using AI for clue generation, etc.
At first I wasn't sure what I had to do, it simply throws you into the game, and it's easy to get confused with the numbers around it, because usually if there are numbers, there is going to be somewhere (usually at the bottom) the numbers and the clue for each of them.
It took me a bit to find how to get the clues from the vertical words (double tapping).
The onscreen keyboard isn't very responsive in the sense that I had to tap several times the backspace to delete a letter.
It doesn't allow to play again :(
Yes ... I know this exists out there about a million times, but I just want to see what I can do.
Thinking on good export formats (except of taking screenshots and Pull Requests, obviosuly). LaTeX and Typst? A remark plugin?
Why?
The one I used died (Manifest V2 only, and was not updated). And I wanted to test one-shot it.
Incredibly it worked!
I am also working on a new way to blog with LakyAI (https://lakyai.com). Not super ready but send me a DM if curious.
Knocker, an http knock based access service for your homelab that works at a reverse proxy or firewall level.
It's a more convenient albeit less secure alternative to VPNs like tailscale. It's more convenient because it whitelists the enite network, and it's less secure for that reason.
https://coolinary.app, simplifying cooking and recipe ideas
https://capi.tax, preparing capital gains tax reports from foreign brokers for German income tax (still closed)
Would be great to collaborate with others on it. In particular I want to explore building the "alpha arena for AI house price prediction"
Items have a prefix and suffix system similar to Diablo 2 so I'm having nostalgic fun building it. None of this gives any advantage to the chess games you play. It's just a pointless cycle of gems, items, and experience to get more gems, items and experience. Seems fun so far.
https://github.com/krypdoh/TCKR
I have been vibe coding it on and off for a few weeks and I'm quite happy with how it turned out as I could never find one that did what I was looking for.
I would love feedback and of course any bug reports. :)
The end goal is to have a laptop with an easy way to build lab environments which is secure and rootless.
It is simple but powerful supporting all formatting but also diagrams so you can get Claude to generate beautiful ER, or state-transition diagrams for your documentation. It also supports math notation, file links and has a cool table of contents feature
It's in the app store: ViewMD
A hierarchical text canvas for organizing thoughts and taking notes. I wrote v1 years ago and now spent about year rewriting it in SwiftUI and adding all my dream features like reminders, deep linking, and lots more. Currently in TestFlight beta, nearing release.
https://github.com/s1liconcow/skyshelve - persistent python dictionary on S3. Used this to create a durable execution layer to do some of the analytics for the above.
A constraint-solver for a novel algorithmic theory of harmony (cadence.is)
a word game based on transformations from one word to another (unreleased)
email my username at thekeyunlocks.us for access to any of them or if you want to talk shop!
Turn your hand into a magnificent turkey!
if you build, design, or ship products in Nextjs this is something you must try. Amazing UI components ( shadcn, framer, tailwind) smooth builder and high quality code export.
You submit heavy duty jobs without worrying about infra, and we take care of execution. We're starting with PDF extraction. Audio transcoding + STT (speech to text) is next. Video transcoding will follow.
This allows you to have $5/mo VPS and get media operations figured out.
Why is react still considered a viable tech?
Fully offline LLM coding agent plug-in for JetBrains IDEs. Use with Qwen3-Coder-30B-A3B-Instruct-UD-Q4_K_XL.gguf on an RTX 3090 or up. The source code is pretty short to make sure it can be audited, if needed.
Anyone can post an idea for something they wish existed — an app, a game, a tool, or anything else — and share it. When more people back an idea, it gains momentum and starts getting built, either by AI or by community makers. The goal is to turn crowd energy into real progress.
https://substack.com/@xlogiclabs/note/p-177713038?r=6s54sx&u...
We are looking for an angel! Please reach out at hello@ceogenerator.com
- Aggregations of m2 price and price history development
- Area and address details with time-on-market stats
- 3D map visualization
https://hintakartta.comEyeball is a bookmarks app that turns your own saved links into hyper-personalized playlists. It's like having a personal curator in your pocket that sends you a weekly issue of your own personal "magazine" on Sundays.
You can chat, branch, and connect 300+ models on an infinite canvas: useful when you need to explore tradeoffs, check blind spots, or generate assets (research, slides, prompts, images) from the same board.
Try it without signup: https://app.getspine.ai/guest
Automatic dataset builder and cleaner. (End product would be something like, you type that you want a dataset for dog breeds, and it builds and cleans the data automatically)
A flashcard app for my main stakeholder (My wife)
IMDB? Ads everywhere. Actor's Access? Ancient.
Human first, AI optional. A great way for actors, writers, and directors to represent themselves.
Feedback welcome! -M@
* Automatically train the scraper on the structure of the page to acquire the data you want, and
* Clean and structure the data into a format suitable to go into a relational database
I got sick of doing all that manually for some pricing data I wanted to monitor on some suppliers sites, and I've always wanted to contribute more to open source and give back.
Most out there: https://millionminds.com
Runner-up: https://vodomodo.com
No AI, you just buy my time.
I’m also looking to do a couple freebies if anyone wants to anonymise their CV and let me use it for a promo example.
Is this US focused or also applicable to UK/EU people?
I like to play the role of the person doing the hiring, hence why the form asks for an example job description.
I'll keep your site in mind if needed, I think the video response is a key selling point, great idea.
Small webapp that allows musicians to add PDFs locally and offline, arrange them, then download for use on an e-reader during performances. Built for a classical musician friend who uses really old Android devices, also my first almost entirely 'vibe-coded' app.
Completely bootstrapped online counseling platform focused on affordability ($25/week!), accessibility and doing the right thing by clients and therapists. Currently only available in NY, FL, TX and Singapore with plans to expand as budget allows.
https://osint.moe/ - LLM-based app to build research graphs based on goal-directed web search
Currently packaging as a windows desktop app, recording a demo video, and then distributing
Launched a new plan as well that gives unlimited question-answering for just $20/month. Truly unlimited, no strings attached.
It’s a daily logic puzzle game where the rules change every day. If you like sudoku but want a bit more variety, you’ll probably enjoy this!
We wanted to make concept for an app using all local models for chat (llama 3.1 8B) and voice (whisper). Deployed using kubernetes and easily scalable not to mention fully open source!
Live: https://nexchat.akashdev.me/ GitHub: https://github.com/Akash1000x/NexChat
Would love to get your feedback!
It tracks pull requests, CI results, and mentions in real time — so you know when you’re needed without checking GitHub or digging through emails.
It has a menu bar for quick access and a clean desktop UI for more detail.
Do you still run that startup?
With Cozy Watch, I use the GitHub API, never thought about using emails as triggers.
I’ve actually got GitHub emails disabled, they can get pretty spammy.
Please let me know if it can be helpful for you or your team.
reach me here: tiago@cozywatch.com
Change consists in refactoring the back and front end.
Former : nocodefunctions.com:
Current: next.nocodefunctions.com
Context:
https://nocodefunctions.com/blog/jsf-primefaces-vs-htmx-alpi...
We want to get rid of "black box batteries" and move to connected, cross-compatible, and easy to repair batteries!
Check our batteries at https://infinite-battery.com :)
It took me two and a half years to finish. Now I've got to market it.
My 7 year old niece loves jigsaw puzzles, but a lot of the time I see her during family trips where taking puzzles along wouldn't be feasible. We usually have an iPad though. I plan to add more puzzle categories soon.
Specifically working on our FinOps agent which can identify and remediate cloud infa cost related issues across AWS, Azure, Datadog, etc. The agent lives in Slack and surfaces cost savings initiatives for teams to inspect and approve for the agent to fix.
It's coming together really nicely, targeting a beta release later this month. If anyone is interested in game development and wants to be a beta tester, lmk :)
Multiplayer QWOP-like where you control one leg of an octopus.
I'm further ahead in the development than shown here, hopefully have the finished thing out with support for multiple games within a month or so (would be faster if I didn't have a job lol)
Not random bookmarks, but organized and shareable collections you can actually discover. Think Pinterest for links.
Day 13: 27 collections live, and people are already creating their own — which is exciting to see!
It’s starting to sound pretty good. I’ve had quite a lot of help from the community with lots of useful feedback and suggestions. It’s been fun.
Lesson: speak to customers!
Codeflash optimizes any Python code for performance by using AI and verification.
We make all human and AI written code super-intelligent by discovering new algorithms and fixing any performance mistakes.
Specifically, I’m working on upgrading SDKs to be fully typed using Zod schema.
Yes, you can use your own API key as well.
Feedbacks are welcome.
The mascot gets annoyed if you haven’t taken your pills on time.
The code for the agent is here https://github.com/upmaru/memovee-tama
An open-source audioguide app that helps museums and cultural spaces create engaging visitor experiences. Feel free to give me a star on GitHub.
https://github.com/fyndx/house-help
Looking for Business/Sales side who can help me with this
Apart from bringing your own compute, Daestro also integrates with AWS, DigitalOcean and Linode.
You can check it out at https://TryTravi.com
It’s been a fun 3 year project. Just launched on iOS and am in user acquisition phase. Totally new learnings here! Getting users is definitely the hard part... I can build something all day
Basically combining some game asset tools into one.
My own blog, which I mainly write for myself. But it is getting steadily more readers. Last week I wrote some scripts to help me with creating OG images quicker.
Tech:
- Zola, static site generator made in Rust
- Swift, writing scripts for custom generating stuff
- HTML and CSS
- Cloudflare Pages
https://github.com/mbvlabs/andurel
Probably only building for myself here but super fun to explore how that would look like.
Would love to see how this turns out though! Great work
Yeah I tried out Buffalo as well but felt like they ended up doing too much!
If you check it out, I'd love to hear what you think! It's not ready for a v1 yet, still very exploratory.
Check it out: https://zecurit.com
Would love feedback from anyone dealing with endpoint security or compliance challenges..
Love the script hub, very cool idea.
We’re also building a script repository so you can run scripts directly on agents from the Zecurit console.
Give it a try at https://zecurit.com/signup/
Hydal
Product comparison site for electrical goods, currently has 350,000+ products with detailed specifications, and 27,000+ prices.
Right now UK only, but we have prices for 27 regions, and just now getting retailer prices sync'd up.
I haven't found much value in LLMs for coding beyond very self contained tasks, but some people speak highly of it, and I want to be sure that I'm not missing out. So from time to time I give new tools a try. This time is "Claude Code on the web".
I've put in an estimated 50 hours so far. It has a client and an authoritative server. The client displays 3D graphics with some placeholder models. From the client, you can click on tiles and move to them, or click on enemies to pathfind and attack them. You can right-click on tiles or monsters to open a menu with options (attack, trade, move). There are some unit tests and a few integration tests.
Right now the issues that Claude has been unable to resolve after a few attempts are: * Attack animations. I'm trying to get it to raise and then lower a rectangular block to simulate a sword attack. It really doesn't get it, and it's harder to write tests for compared to movement and server-client networking. * "Entity interpolation". Rather walking entities instantly moving from tile to tile, movement should flow smoothly.
I have Claude Pro ($20/mo) which let me make a few commits per day. After a few days of that, Anthropic offered $250 in credits to promote "Claude Code on the web". The credits expire after two weeks. I'm now five days into that period and have gone through $50 in credits. It is heavily rate limited and frequently locks me out for multiple hours after only a few interactions, but it's free credits so I can't really complain.
I have found for myself that there is a lack of vocabulary learning apps that have good search functions. When I make a search function, I want it to be able to find all subsets of words, that I could think of. Instead what many search functions only allow you to do is, to first find one set of words, and then in a new separate search find another set of words. Currently working on that search function.
Also what I find annoying in spaced repetition learning apps I have seen so far is, that they will ask you very simple words over and over again, just because you didn't see them in a while. But I really don't need to learn those words over and over again, because I just know them.
Another annoying thing is, that in some apps you cannot see your learning progress. How many percent you already learned. Or that you cannot specify how difficult a word is to learn. Or how relevant it is. All this metadata, that could be good for learners to be able to search through, when searching for the subset of words they want to learn next. Oh, and of course tags ... With tags one can add all kinds of attributes to words. Maybe I am only looking for nouns or verbs. Maybe I am only interested in words that have something to do with family.
There is still a lot to do, but it is taking shape nicely.
The app is written in Python and tkinter. It is very simple to use in most aspects, and I really don't care much about the looks. I actually find them refreshingly simple and functional. Not this "everything flat" kind of epidemic in UI, and widgets still give feedback when using them. Not web based with the typical nodejs or npm overhead and tens or hundreds of dependencies. Nope, keeping it very minimal so far.
I also have another idea, that might give it a modern touch, but that might also introduce overhead and probably should be an optional setup or feature: Give users tools to let LLMs generate example usages of words, if they want to do so. Of course that would have to be a local LLM I don't want to get into users having to sign up somewhere and get API keys and all that.
I am also not planning to make a mobile app. Maybe later I can create an API, so that one could build a web frontend, if one chooses to do so. But first I want to build this app and the functionality behind it.
instagram.com/cushmancustomgolf
I am building a community driven data aggregation platform for the Michigan tech ecosystem. This is just a promo page.
On launch there will be a company index, curated newsletter, educational resources in michigan like CS programs, and much more!
Specifically, TikZ is often outside the ability of GPT5 to successfully write or debug.
Inspired by shot tracer in golf as well as the "10 yard line" in football.
Also built secretsofmaps.com (but that's more a side project) Would love some feedback!
I pre-integrated over 50 different LLM-related projects, added a nice CLI and a Desktop app on top to manage the configs.
Exposure to unity has got me thinking hard about its non-gaming applications. The stability of presentation between device targets is incredible. Being able to integrate literally anything you want in native 3d world space feels like a natural next step once you get bored of the DOM.
We achieve this performance by baking in the best practices before any tweaking
Does it summarize past context or keep it all?
- no sign up, free
- checks PQC usage among all the servers in a domain
- uses Certificate Transparency to find all your TLS endpoints
- tells you how far you are from PQC readiness
One feature we are working on is an attachable public IP. For those behind CGNAT, they can run this app and get a public IP instantly.
Perfect usage metrics. Store staff spends 35hr per week using my software in a ~7 employee per shift setting. No churn.
Bootstrapped past $100k ARR on my own, just onboarded a co-founder.
If you're interested in following along, check out https://www.npmjs.com/package/nori-ai
Hi HN, we’re a Milan-based fintech startup developing FELKO, an AI-powered data platform that helps banks and credit-holders standardize, monitor and act on debt portfolios in partnership with collection agencies!
Attracting new monthly sponsors and people willing to buy me the occasional pizza with my crappy HTML skills.
Here it is hosted on my website https://roberto.fyi/bookmarks/
The tool makes it super easy to create help articles in any language, just by clicking through a process. The first results are super promising!
The goal is to connect people IRL through fitness.
GunStopperDrone Game Single player game, race against the clock to defuse a dangerous situation using a drone against an armed attacker. https://game.gunstopperdrone.com/
We are making "batteries included" API to bring agentic AI into any platform.
Apache-2.0 license: https://github.com/simstudioai/sim
It took me a year to rebuild it from ground up but finally finished it.
Here's my work so far: https://github.com/BinSquare/powermetrics-go
It would have been so much easy just to program the midi hub I wanted to program but wanted to make it generic.. now I can make the firmware for any configuration in seconds!
If allows the use of different models, no need to sign-up at the moment and at no cost. We released our beta just last week.
We were getting annoyed by all the additional confirmation questions by other AI assistants, and having to switch between consoles to use a editor and/or revert changes.
Check out our repo at: https://github.com/acrotron/aye-chat
or just install it:
# pip install ayechat
Most “budgeting banks” (Ally Buckets, Wells Fargo Budget Watch, etc.) bolt budgeting on after the fact. Envelope was designed from day one as an integrated budgeting bank account. The checking, savings, and debit cards are all built around real-time envelope balances.
Each envelope acts like a dedicated account with its own balance and optional virtual card. Spending directly from an envelope means your budget is always accurate — no syncing, no spreadsheets, no “catch-up” categorization. Everything runs on-ledger with automatic spend-locking and instant visibility.
We’re a small YC-backed team (former Robinhood and Apple Card team members) focused on rebuilding personal finance from the ground up to be simple, and transparent https://envelopebudgeting.com
We are a service to help brands navigate the new world of AI agents. Currently focused on helping them increase visibility in AI search but we plan to go beyond that.
Specifically, torched pine Shou Sugi Ban boxes to house a garden at a much more convenient height for gardening, and eventually, my wintergarden experiments with high compost mixes to keep the garden from freezing in the winter.
I released some public domain code for computing Groebner bases (F4 and FGLM). I'm hoping these routines will find their way into more systems.
We’re doing an alpha launch in Q1 2026, and if you’re interested, sign up at bankrank.io/waitlist or email bankrank.alpha@gmail.com
you can also infinitely nest your notes/flashcard decks, and turn each note into a dedicated page
spaced repetition coming soon
This is an AST-walking interpreter for my personal LISP dialect written in C. Once it's ready, I would use it to implement a low-level, statically typed language (Schnell) as a Langsam library. The goal is to gain the ability to JIT-compile Schnell code (sexps of a statically typed language) from Langsam. Once this works, I would rewrite Langsam in Schnell so that it becomes a fast bytecode interpreter. With the faster Langsam (and the Schnell built into it) I could build a little OS called "Oben". The OS would first run on top of Linux, then I would attempt to bootstrap the entire stack on bare-metal. I already have a Forth dialect implemented in assembly language (Grund/Boden). The idea is to implement Langsam in Grund and then bootstrap the entire Grund -> Langsam -> Schnell -> Oben chain on something like the qemu q35, later on a Raspberry Pi Zero 2W and maybe even my own hardware (ie. an FPGA board like what Wirth et al. created for Project Oberon).
2. MTrak - https://github.com/cellux/mtrak
This is a TUI MIDI tracker written in Go. Not too user-friendly: one has to enter raw MIDI messages in hex into the tracks. Can be connected to synths like Fluidsynth or Surge XT via JACK MIDI. Unfortunately it takes a lot of CPU time, probably due to the use of BubbleTea (and no time spent on optimization).
3. Mixtape - https://github.com/cellux/mixtape
Beginnings of a programmable, non-realtime audio sample generator/manipulator written in Go with an OpenGL GUI. I was thinking about how people in the old times cut up the magnetic tape which contained the sound bites and rearranged them to build something new. What if I'd implement a data type called "tape" which is basically a piece of sound and then provide operators in a Forth-like language to create and manipulate such tapes. Each tape could be a sound and then these could be stitched together to form songs. Who knows maybe an entire song could be represented as a hierarchy of these tapes. Each sound or song section could be its own file (*.tape), these could be loaded from each other, maybe even caching the WAV generated from the code of a tape to speed things up when there is a huge hierarchy of tapes in a project. Lots of interesting ideas are brewing in this one.
mdfried, markdown viewer for the terminal that renders headers as Big Text via the new text-sizing-protocol or as images.
In particular hardware-accelerated video playback, and adding Portals.
The last month has had its ups and downs.
Ups = some local-area doulas have started sharing the baby app in a big WhatsApp group & growth is starting to pick up.
Downs = my first vibe-coding horror story. For PracticeCallAI, the subscription flow was failing and somehow outside my test coverage, so I've been missing out on new subscribers for the last two months. In an effort fix it, Replit Agent - which I have been loving otherwise - truncated the table that stores all of the user calls. and their database rollback is throwing errors. So that's been fun.
Streaming video is still hard to do for a developer today and we are solving that with scalable and cheap infra for streaming.
Users post small games to social feeds.
Scroll like a social network, jump into and play any game by tapping on it.
Games are served into fully locked-down, sandboxed iframes for security.
Also planning on adding more tools to help development teams.
https://apps.apple.com/us/app/document-manager-fyle/id674003...
Nice idea btw!
- Musical Chairs
- With Fights
- And Epic Music
- Made with Godot 4, C# & Wwise
- Online with Nakama & Hathora
https://github.com/ra0x3/systemg
I'm personally tired of getting stuck in config/deployment hell every time I want to deploy a long-lived web service. Sure I eventually learned how to use systemd, but systemd has SO many things baked into that I simply don't need. systemg is a lightweight process supervisor that features everything you'd typically want when running/managing production web services in the wild.
Would love feedback.
If at the time when I was cutting my teeth on systemd, I had access to something more lightweight and "do one thing well", I think I would've gotten a lot more sleep :)
It’s a new kind of computer that attempts to part from the unix heritage and offer something really accessible and modern.
Yesterday was the one year anniversary, meaning there are 365 videos to unscramble. :)
Also making personalised Christmas t-shirts in Inkscape. I love what you can do with open source tools!
The first version is out: https://voice-ai.knowii.net
AI Assistant that schedules your meetings for you over email. Just sign up and cc her into an email thread to get started.
I'll write up my experience in a blog post
More deterministic, much improved time complexity, and hopefully, more interesting results.
I'm just scratching an itch with a side project using Web Audio API. It's free and no ads.
- A learning tool in Python for Arrays and Algorithms
- A prototype agent-based configuration management system in Perl
- Trying to reinstall Arch Linux on a laptop the second time around (lost my install notes :D)
Mostly doing all of it for learning purposes.
At the intermediate level lots of learners struggle to find suitable content that matches their level and interests, more than a few learners turn to notebookLM podcasts to provide that, but that's a bit of a hassle to set up. So I built a platform that generates and manages infinite and shareable streams around your interests or specific vocabulary. It also provides live interactive transcripts (karaoke / teleprompter style) if you need it.
Core features work but still rough around the edges. Happy to help you out with any issues you encounter, languages to add, feature requests etc...
I have been working in ad campaigns and instrumentation to understand interest and reach out to potential users.
Now looking to migrate bits and pieces to pg_lake from hydra/citus columnar.
Building a simple service to share content and simple sites in free time. Recently implemented sso with google. Would love some feedback.
Injee - The no configuration instant Database for front end developers.
Made with Godot and Swift, a casual manic arcade thing where you pop animals in increasingly exotic/banal locations.
Working on better code ownership functionalities and wasm/worker CI/CD workflows.
ytrss.xyz
Convert YouTube videos into rss podcast feeds you can subscribe to anywhere. Also added a YouTube audio conversion api.
Multi-Chain Trading API across 60+ Blockchains (swapping and bridging / any-to-any)
the backend is all automated for imports and exports from dsp (can be a single account only), or can be made without.
Just wanted it to be easier to share music with friends with one link, particularly as music-types start to de-spotify!
Would love feedback from the community
I maintain a dev log: https://world.hey.com/cdecatheu/javelit-diary-00-building-a-...
And here’s an article about the project by a Google Cloud devrel :)
https://glaforge.dev/posts/2025/10/24/javelit-to-create-quic...
It’s quite fun.
A time-sorted list of top posts from Hacker News, Tildes, Lobsters, Slashdot, Bear, and some science, tech & programming related subreddits.
Posts on STEAMD topics (Science, Technology, Engineering, Arts, Math, and Design).
My site went live 2 days ago. I shared more details on below post but for some reason, my post was shadow banned and didn't show up on Show HN.
https://news.ycombinator.com/item?id=45849924
Any constructive feedback is welcome!
Note that I am trying to narrow down a bug in my backend which sometimes causes it to crash. Since backend is built in Swift using SQLite as database, it's a bit hard to nail down the issue.
My current series of post follows the surge of interest in UUIDs with the uptake of UUIDv7. I've seen some subtle misunderstandings spreading, so I dive into nuance. This has spun off some mini projects, like an RFC compliant UUIDv8 implementation based on XKCD 221 [2] (humor intended). I think I have two more in the blog series.
TL;DR: Expense reports were killing me (and trees). Built my first coding project – a PDF merger that fits multiple receipts per page. Planned to charge "one bike tire
worth" to recoup costs, but decided to make it free after learning so much from the community. [https://ahay.app/](https://ahay.app/)
Here you may mix rain, thunder and more sounds.
Risk and volatility indexes for industrial sectors.
Fully functional and constantly evolving.
Why? For learning and fun.
The next step is to debug kernel logs with uart.
Document translator that keeps layout intact.
A graphical web interface for building out Prisma database schemas, and then exporting the code.
Why? I want a fun/meaty Elixir project.
Will anyone use it? Who knows.
In my spare time I've been working on a small service for making sure I remember friends and families birthdays. I think it's really important but with friends all having kids it's becoming more and more to keep track of in the calendar. I'm putting together a small web app which takes in the birthday and sends me a reminder a set amount of time away, with some suggestions for birthday gifts.
The suggestions right now are just ones that I've entered as I've come across ideas throughout the year for people. But I want to try and plug in known interests and see if I can do a better recommendation for myself. I'm hoping to keep it quite small as I don't want to take the spirit out of remembering people's birthdays, but I do want to be more consistent.
I'm only on lemma 11 at this point, and up until that point the paper has been fairly easy to formalize (modulo my unfamiliarity with mathlib).
The repo is here https://github.com/badly-drawn-wizards/noperthedron
Thinking about building out my ai memory tool but I am looking for more hours in a day to do that :)
It's the Microsoft stack, I'm embarrassed
Odoo Cloud Hosting platform alternative to odoo.sh with additional functionalities(PGadmin, external s3 backup,...etc) and backoffice portal to create landing pages and pricing plans for your customers
So far i've got the scraping and embeddings / similarity clustering down (to build timelines of news stories), lots of data cleaning and UI refinement required. I find it hard to make choices, maybe I need a cofounder who can pair up with me. Looking to either monetize news data or build a news analysis / intelligence platform.
(I'm working on basic blog and video aggregators like Planet Python.)
So a paragraph might be good as a 384-dim vector but if you have 1,000 words then you might want a 768-dim embedding (if not higher). Embedding models have slightly better/worse accuracy based on the training data they're fed, but higher dimensionality definitely gives better results - to a great extent. If you have an extensively long piece of text, it's easier to chunk it into pieces and create separate embeddings. You do have to manually stitch them back together and do some cleanup when displaying results but it works.
Once you have embeddings for all your data the rest is just cosine similarity, play around with the min_similarity. You will need to build good indexes on postgres but it is basically all you need.
Check it out at https://www.p4d.io
V happy with how the CSS came out, except I spent a lot of time on an "ink bleed" newsprint effect that (oops) only looks good on HiDPI monitors... lessons learned I suppose
https://flopper.io - this has become a big focus. It's essentially a table for flops. Calculator coming soon for flops and power. Imported >600 Datacenters in October.
https://llmstxt.studio - models need data and I believe llms.txt as an idea has merit. Likely needs an authority. Will add more audit tools to give people any slight benefit they can have for SEO.
https://probe.bike - tell stories with your bikepacking data.
It's pretty hard to work on all these ideas and areas whilst working. Feeling a bit over stretched.
Flopper remains the main focus as release cycles are slow and it overlaps with work slightly.
It is like /., but better :-)
No Ads, no paywall, just focused on a good reading experience with some extra niceties like widgets on the home screen.
Website: https://www.hackerreader.app/
App Store: https://apps.apple.com/us/app/hacker-reader/id6754137305
It relies on “modern” (2009) extensions to minimise traffic and avoids polling entirely (relying on the server to notify of new messages or changes as they happen).
It’s currently quite stable. The only known issue is that it can take a while to detect a timeout when the system is suspended and woken up again (there’s no portable API to detect suspend/resume).
Since then, I’ve been working on a simple TUI email client based on notmuch and maildir. So far it works really well for processing email, but lacks any capabilities for handling attachments, composing, sending (these are obviously on the roadmap).
My Name is Will, I am a final year college student in Milan and the Co-Founder of this project Neutralis. I came across this website super randomly this evening and am fascinated!
I will preface by stating that I am not a programmer nor an AI/ML engineer, just a an economics student with an amazing team of people around me.
This is our first project and for the past year we have meandered through the tests and trial and error required to learn and understand what we need to build but as I’m sure you all know every task is linked to an exponentially increasing number of problems needed to be studied and solved as we trudge towards the market. Since I believe we’re all in the same boat and there are like minded and far more talented people on this page, I wanted to share what were doing and shout into the void to see if we can maybe find some answers to what were looking for!
The project is this, an Intelligent fault detection diagnostics system tailored for industrial scale Heat Pump systems. If you have no bloody idea what that is don’t worry! It’s basically the standard boiler’s successor as an electrical thermal supply system which (at least in the EU) will be replacing all pre-existing systems in the coming years due to legislative changes.
The ecosystem of our product is a model of some format (question to follow) paired with a sensor suite which will be connected to an “OS” for technicians and maintainers with the goal of optimising their post-installation workflow processes.
The software is not obscure, only a little complex w.r.t double format databasing and the presence of multiple user types within an org, but this with time can be organised. The difficulty lies in the model. These systems have datapoints in the 6-7 figures and hundreds of components each requiring enough inference to be able to (with a justifiable accuracy) perform the inference required to pinpoint diagnostics, also including the multitude of ambient/external factors affecting physical systems in real time. This complexity has meant that our ML lead who is finishing his PhD is left scratching his head about what the best approach would be.
Since we would like to have a modular system to allow for any scale our first thoughts lean towards Reinforcement learning. We have a partnership in industry that is allowing us to secure vast stress test datasets from manufacturers of these systems which display the full range of results produced from these systems, but these are only from the Heat pump alone. Therefore, we are also working on gaining access to as many pilot sites as possible to collect data on entire systems so that we can cover all bases. The issue with this is that the time required to have a model viable for launch we fear would be too long and our runway is short.
Option 2 is a digital-twin. If we are able to produce a platform capable enough to align its simulations closely enough to the data collected from the sites, then only a fault library in a relational DB is required to get the desired outcome. However, as specified, to create a modular digital-twin which has internalised all of the external/ambient factors into its computing seems almost impossible. We have been simulating on one produced in Sweden, it doesn’t even come close.
Finally, we have thought instead to look into finding a highly specialised LLM which we could refine well enough to match our use case, for which our understanding is really primitive as we don’t have an AI specialist but the intuition is, produce a technician who is as experienced as humanly possible and so with just a look at the data is able to give you a step by step solution and fix guide.
What do you guys think the best course of action would be?
If you're interested in discussing further reach out at william.taylor@neutralis.it!
Dreaming about a new programming language made for coding gameplay logic: https://news.ycombinator.com/item?id=45865379
And an iOS expense tracker focused for frequent travelers, and macOS photos viewer based on the filesystem instead of a monolithic opaque "library", 2 needs that I had since forever but could never get through Apple's atrocious developer documentation far enough to finish making them :')
use it to view all dashboards in one place.
[0] jacobin.org
SSH based access with HTTP port forward. Team collaboration, multiple models, git based workflow, test deployment automation, etc.
Very early stage but it now work on its own source code (Bash tool is missing): https://github.com/brainless/nocodo
It was mainly an excuse to learn Go to be frank.
Also to anyone reading this I am taking any blog suggestion you could have
I’m building a small live NFL game-prediction tracker and writing up what I learn as I go:
https://michellepellon.com/portfolio/nfl-game-predictions
# What’s under the hood today
ELO translated to the NFL with margin-of-victory adjustments, a modest home-field term, and week-to-week recency weighting.
Post-hoc calibration with isotonic regression so 70% predictions land near 0.70 empirically.
Monte Carlo to roll games forward for distributions on weekly win odds and season outcomes, plus basic reliability/Brier/log-loss tracking.
# Where I’m taking it (ensemble ideas)
Blend a few complementary signals: (1) pure ELO strength; (2) schedule-adjusted EPA/Success Rate features; (3) injury/QB continuity and rest/travel effects; (4) a small “market prior” from closing lines; (5) weather/play style pace features.
Combine via a simple stacked model (regularized logistic, isotonic on top), or a Bayesian hierarchical model that lets team effects evolve with partial pooling.
Separate models for win prob vs. expected margin, then reconcile with a consistent link so the two don’t disagree.
Emphasis on calibration over leaderboard-chasing: reliability diagrams, ECE, PIT histograms, and backtests that penalize regime drift.
# Why I’m doing it
It’s a sandbox to teach myself Monte Carlo and ELO end-to-end—data ingest → feature plumbing → simulation → calibration → eval—on a domain with immediate feedback every week.
# How this connects to my day job (healthcare ops)
I work at BlueSprig, running ~150 ABA therapy clinics. I’m exploring whether ELO-like ideas can augment ops decisions:
“Strength” ratings for clinics, care teams, or scheduling templates based on outcome deltas and throughput (margin-of-victory ≈ effect size/efficiency).
Opponent/schedule ≈ case-mix, payer mix, staffing constraints, geography.
Monte Carlo for expansion planning (new-site ramp curves), capacity/OT forecasting, and risk-adjusted outcome monitoring with calibration so probabilities mean something.
Guardrails for fairness and interpretability so ratings don’t become blunt scorecards.
# Help
If you’ve shipped calibrated ensembles in sports or have pointers on applying rating systems to multi-site healthcare operations, I’d love to trade notes or if you need someone to this and other kind of work for their dayjob email me at mgracepellon@gmail.com -- I would love to do this fulltime.
Ai driven container planner
A law professionals helper - aggregates judicial case info into a single place, gives visibility and notifications - asistentul.ro
A scheduling platform for self-employed professionals that offer services (think hair-cutting, nails, psychlogists). (Not yet live)
Aaand something in compliance that I want to keep a bit stealthy right now.
Open to any feedback, suggestions or comments.
The problem: Most organizations hardcode prompts directly into application code, creating security vulnerabilities (90% prompt injection success rate in typical deployments), operational inefficiency (3-5 day deployment cycles for simple prompt changes), and compliance gaps (insufficient audit trails for SOC 2, ISO 27001).
Our approach: - Externalize prompts from code with secure configuration management - Implement modular middleware architecture with composable security primitives (BasicSanitizer, LightweightAuditor, SimpleRBAC, InputValidator) - Provide complete audit trails and version control with approval workflows - Support both startups and enterprises with practical, not theoretical, security
Version 1.1.0 is now available with Python implementation and examples for Node.js, Java, Go, Rust.
We're actively looking for community contributions - security primitives, framework integrations, language implementations, and adoption stories.
https://github.com/upss-standard/universal-prompt-security-s...
A lot of the AI-powered applications for private equity firms are focusing on the multi-billion dollar firms.