- Kvile ( https://kvile.app ) — A lightweight desktop HTTP client built with Rust + Tauri. Native .http file support (JetBrains/VS Code/Kulala compatible), Monaco editor, JS pre/post scripts, SQLite-backed history. Sub-second startup. MIT licensed, no cloud, your requests stay on your machine. Think Postman without the bloat and login walls.
- Mockingjay ( https://apps.apple.com/us/app/mockingjay-secure-recorder/id6... ) — iOS app that records video and streams AES-256-GCM encrypted chunks to your Google Drive in real-time. By the time someone takes your phone, the footage is already safe in the cloud. Built for journalists, activists, and anyone who needs tamper-proof evidence. Features a duress PIN that wipes local keys while preserving cloud backups, and a fake sleep mode that makes the phone look powered off during recording.
- Stao ( https://stao.app ) — A simple sit/stand reminder for standing desk users. Runs in the system tray, tracks your streaks, zero setup. Available on macOS, Windows, Linux, iOS, and Android.
- MyVisualRoutine ( https://myvisualroutine.com ) — This one is personal. I have three kids, two with severe disabilities. Visual schedules (laminated cards, velcro boards) are a lifeline for non-verbal children, but they're a nightmare to manage and they don't leave the house. So I built an app that lets you create a full visual routine in about 20 seconds and take it anywhere. Choice boards, First/Then boards, day plans, 50+ preloaded activities, works fully offline. Free tier is genuinely usable. Available on iOS and Android.
I built a TUI sampler which cherry-picks my favourite features from modern & vintage hardware samplers, DAWs, plugins, outboard FX gear, and DJ equipment.
If you know what an AKAI MPC Live, MPC 3000, SP404, SP1200, BOSS RC-202, Alesis 3630, Serato Sample, S950 filters, and stem separation does, then you'll love seeing these "greatest hits" up in a terminal interface.
Last year while on vacation in Costa Rica, I started scratching my own itch for locating and organizing samples, which quickly evolved into adding more and more features while keeping it tactile and immediate. It was too fun to stop so I kept going. After a few days I was happily making beats in it, and since then it's only gotten better.
It's live and totally free to use, and works in macos & Linux (Windows soon). I'm about to launch v1.0 now, just working with folks in the community to round out the Factory Kits a little more for users new to beatmaking.
Turns out, making beats with no mouse and a terminal interface strikes the perfect balance of hardware feel and software power, and I'm loving the result. Been sharing it with folks in my beatmaking sphere and have plans to continue expanding its reach through more collaborations, contests, and in-person events.
Hope it brings you as much joy as it does to me :)
We've been using it with friends and family semi-successfully (hashbangs work for edge cases we're still working on).
It's really difficult to get bigger indexes other than Mojeek and Marginalia to want to work with us and improve the results further, so that's something I've been researching more, lately. EUSP (the new Ecosia/Qwant-effort-related index) has finally replied to me last week, but I'm still waiting on an API key.
If you're interested in trying it for a few days and are a human, reach out with your account number and I'll give you a couple of weeks for free. We're pushing improvements daily.
[2] https://kagi.com
P. S. It's weird to see this duplicate (posted less than a week ago in https://news.ycombinator.com/item?id=46874385), but this post has a lot more comments!
It's a lightweight screen recorder for macOS that lives in your menu bar. It's built with SwiftUI and ScreenCaptureKit, uses the native Content Picker to select what you record, and supports ProRes 422/4444, HEVC, and H.264 — including alpha channel and HDR. Frame rates from 24 to 120fps. System audio and mic simultaneously. You can also exclude specific things from recordings, like the menu bar, dock, or wallpaper.
No tracking, no analytics, no cloud uploads, no account. MIT licensed. Everything stays on your Mac.
https://github.com/Fingel/gelly
I thought it would be pretty simple, but here I am almost 6 months later still adding features. The positive feedback has been nice, though! People seem to appreciate (like I do) that its fast and doesn't use Electron or some other cross platform toolkit. Learning a lot.
It's not vibe coded. Sad that I have to make that qualification these days, but here we are.
A broke kid wins a spot at a high-tech genius school and finds out the “cool” project is really mind control for the whole world. Now he has to out-hack teachers, drones, and a traitor friend using only his brain, his DIY skills, and the outlaw Mesh. Readers get wild gadgets, sneaky pranks, and fast chases—plus the chance to ask what they would do if adults tried to control every thought in their head.
Final edits from the editor are arriving this week - then I'm off to find a lit agent, hopefully get a publishing deal by the end of 2026. More info below.
Laboratory.love lets you fund independent plastic chemical lab testing of the specific foods you actually buy. Think Consumer Reports meets Kickstarter, but focused on detecting endocrine disruptors in your yogurt, your kid’s snacks, or whatever you’re curious about.
Find a product (or suggest one), contribute to its testing fund, and get full lab results when testing completes. If a product doesn’t reach its goal within 365 days, you’re automatically refunded. All results are published publicly.
This project was inspired by Nat Friedman's PlasticList.org and we use the same ISO 17025-accredited methodology they did, testing three separate production lots per product (when possible) and detecting down to parts-per-billion. The entire protocol is open.
I just published new results today! Turns out Muir Glen's caned Fire Roasted Diced Tomatoes are incredibly low in plastic chemicals. Yay!
Browse funded tests, propose your own, or just follow along: https://laboratory.love
I have created a usb-uart converter board with the CH340 chip. The complete schematic was coded with Circuitscript and then imported as a netlist into kicad pcbnew to do the pcb layout. The design was produced with JLCPCB and after receiving the boards I tested them and they do work! The design files are here https://github.com/liu3hao/usb-uart-bridge. The circuitscript code file is here https://raw.githubusercontent.com/liu3hao/usb-uart-bridge/re... and the generated pdf from the circuitscript code is here: https://github.com/liu3hao/usb-uart-bridge/blob/main/usb_uar...
The motivation for creating Circuitscript is to describe schematics in terms of code rather than graphical UIs after using different CAD packages extensively (Allegro, Altium, KiCAD) for work in the past. I wanted to spend more time thinking about the schematic design itself rather than fiddling around with GUIs.
Please check it out and I look forward to your feedback, especially from electronics designers/hobbyists. Thanks!
https://www.inclusivecolors.com/
Unlike most tools based around autogenerating colors, this is more of an editor that lets you fully customise all the tint/shades to your liking with a focus on accessibility. This is important when you've got existing brand colors to include and want to find accessible color combinations that work together.
Would love feedback in general and especially from designers/devs who have different needs in how they go about creating branded palettes!
Makes your regular's lives easier, and you take regulars out of your queue.
No stupid loyalty apps, no QR Codes, no sign ups.
More "How are you?" and less "Flat White, please"
Here is an article I wrote about it
https://wherethereisawill.substack.com/p/coffee-shop-loyalty...
It is integrated into our coffee shop POS: https://www.beanpos.co.za
https://www.mikeayles.com/#zookeeper-wip
It lets you take photos of all the animals you see to collect them, when you 'capture' a new animal, it gives you fun facts about them.
I seeded it with UK zoos, but there's no reason it can't work elsewhere.
It was built because the signage at a zoo we went to was terrible and we had no idea what some animals were, so it matches your photo with the list of animals to the best of its ability.
It's an infinite canvas that runs SQL.
I've been working with data my entire career. I feel like we need to alt+tab so much. What if we just put it all on a canvas?
Currently very WIP, but there's a simple titanic demo available!
Built with tldraw and duckdb wasm, running on cloudflare durable objects
Each game adds more building blocks to the editor: multiplayer, event systems, NPC behaviors, pathfinding, etc. I build a system once, and then anyone using the editor can use it in a click. For game logic, I recently added a visual event system I’m really excited about. It’s kind of like Unreal Blueprints, but focused on 2D. You pick a trigger, wire conditions, and chain actions in a node graph [1].
Big challenge right now: most people who want to make games needs assets, and don't know how to get/make them. So I’m building a marketplace where pixel artists can upload tilesets/characters, and unlike itch.io, assets are usable directly inside the engine. No ZIP downloads or import setup, just browse and drop into your game. A preview here[2].
Also, if you want to use the editor but ship elsewhere, you can export terrain, animations, and hitboxes to Godot 4. Nothing is locked in.
The engine/editor is at https://craftmygame.com if anyone wants to poke around! And you can test a games here[3][4], and 1 multiplayer game I've tested IRL in a bar [4]!
[1] https://youtu.be/8fRzC2czGJc
[2] https://www.youtube.com/watch?v=hScOK_naYnk
[3] https://craftmygame.com/game/e310c6fcd8f4448f9dc67aac/r/play
I’ve been shipping AI-written code for 2 years now. I can build something amazing in 40 mins but then spend 4+ hours debugging because the agent has no idea how the libraries it’s calling actually work. Docs are stale, StackOverflow is dead, training data is outdated. Every engineer I talk to has the same problem.
So I built Instagit, an MCP server that lets your coding agent understand any GitHub repo in depth so it can get it right on the first try. Works with Claude Code, Codex, Cursor, OpenClaw, etc.
No API key or account needed to try it out. Just need to share these instructions with your coding agent to get started:
curl -s https://instagit.com/install.md
My retirement treat was to spend three months learning OpenGL and 3D game programming by porting a classic Java RTS game, Tribal Trouble, to more modern OpenGL and Java. I learn much better working with real code and this was a great experience. It was certainly a different experience than it would have been without an LLM teacher, reviewer, helper, assistant. The app was beautifully designed and very cleanly implemented back in Java 1.4 days of 2004 so it has been a joy to modernize it while attempting to preserve the clean design. The OpenGL work and the necessary math was a lot different than what I have been doing for most of my career so it was a lot of fun. I will probably continue tinkering with Tribal Trouble occasionally as I still enjoy playing the game. I want to learn Blender to edit/improve the 3D models. (https://github.com/bondolo/tribaltrouble)
For now I have mostly moved on from gaming and am instead working on improving the accessibility (#a11y) of the Wireshark network protocol capture/analysis tool. There are a lot of blind and low vision IT folks for whom this tool is a job requirement. The current accessibility is unfortunately poor. I've submitted my first PR and am relearning the Wireshark source after last contributing 20 years ago. It's also been 15 years since the last time I did anything with Qt so that has been a refresher as well. I don't enjoy working in C++ but the goal matters so I will suffer through. (https://wireshark.org)
I plan to work on Wireshark for a couple of months at least and then look for something else to contribute to, probably also accessibility related. I have some ideas already about next apps. I'm currently tempted to build an NFC app for iOS in Swift but haven't decided yet. After having built in the last year both Kotlin Compose and TypeScript React apps, none of which I enjoyed very much, I am somewhat curious if Swift and SwiftUI will be more fun.
What I'm most excited about right now is DB Pro Studio: a collaborative web-based version I'm building on top of it.
The idea is simple: databases are a team activity, but every DB tool treats them as a single-player experience. Studio adds either a self-hosted or managed hosted data browser, real-time collaboration, dashboards, visual workflow automation, and enterprise features like audit logging and role-based access. Think "database command center" where your whole team can inspect, query, and build on your data together.
The desktop app acts as the execution engine (your data never leaves your infrastructure), while Studio provides the shared dashboard layer.
I've also consistently posted devlogs on YT throughout the journey, which has helped build a community of ~1,400 subscribers who've shaped the product along the way.
Site: https://dbpro.app YouTube: https://youtube.com/@dbproapp
Would love feedback from anyone who's felt the pain of sharing database context across a team.
Instead of another social network, it’s a bundle of small, practical community tools under one umbrella, combining of the shelf-software with purpose-built projects of our own.
Our current areas of focus are
- help! a neighbor-to-neighbor help board (rides, errands, PC help, garden/handwork)
- hubs! for shared spaces / tool-sharing / events / social hubs
Right now I’m building the integration surface (claims, roles, provisioning), polishing onboarding, and trying to design help!/hubs! so they’re useful even with low activity.
If anyone’s done (hyper-)local community platforms: I’d love to hear what actually drove adoption and what did not work out for you.
Hi HN, I built this because I got tired of fighting with integrating payments in Africa.
M-Pesa processes over $300B annually, it's how 50+ million people in Kenya pay for everything from groceries to rent. People don't have bank accounts, but rather pay straight from their cell phone nummber. But integrating it into your app? That's a different story. Most developers spend weeks on what should take hours, it's almost impossible. And existing solutions for Mastercard, Paypal, Apple Pay etc are useless because most don't have bank accounts.
Micropay is essentially what Stripe did for credit cards, but for mobile money.
That's why people leave their jobs, and magically find they are 100% more productive without a boss. No BS, and they are inspired.
I think you could get further faster by being a human, being inspiring, being a leader. I think you could learn more from Nelson than whatever nasty dehumanising theory most bosses have been reading.
I'm struggling to find the motivation to write up my notes (neurodiversity both helping me see the problem and stopping me do anything about it). I'm struggling to name the theory. I am struggling ( with some limited success) in noticing what I do differently. I'm also struggling with recovering from a major burnout from succeeding creating highly motivated teams in really tough organisations.
I thought all along that I would be better with a collaborator watching me and noting the differences between what I do and what everyone else is doing, then interviewing me about it.
Maybe I could publish bits of it, little tidbits of blogs (who would find them?) or social media videos (I really don't want to have to record and edit videos). Not sure how to get progress.
I would really like people to try it out and report bugs, failures, and successes.
https://github.com/Vibecodelicious/opencode/blob/surgical_co...
I'm currently trying to get the LLM to be more proactive about removing content that is no longer useful in order to stay ahead of autocompaction and also just to keep the context window small and focused in general.
Supports VS Code, Neovim, IntelliJ/JetBrains Family, Zed, etc.
About to do the first beta release this later this week.
The protocol is "srcuri" (pronounced, "Sorcery")
This site is: https://srcuri.com/
Source code: https://github.com/browserup/sorcery-desktop
A high-performance 3D game engine and editor in Rust. It has the ability to deploy to WebAssembly and WebGL2, delivering console-quality visuals and near-native performance right in the browser.
Currently building a multiplayer cozy farming game, inspired by Animal Crossing. Reach out to our discord if you are interested in learning more: https://discord.com/invite/mHsQayQNdp
Some stats so far:
- 200 users
- 378 startup jobs
- 500+ posts
- 2800+ funding rounds
- 1700+ startup companies
- 5000+ investors
The next part of the project is Tech Posts Intel: a lead gen tool using statistical methods to predict which companies should have a funding round coming soon. I'm hoping to soft launch it this week.
I'd love to hear anyone's feedback on the website. Advice on how to get inbound links in 2026 would also be greatly appreciated!
Tech I'm using: Sprites, Cloudflare Workers, SQLite, Litestream, React SSR
The idea is you take a book you want to read, and it gets translated but also rewritten to match your current learning level. And as you read/listen it introduces new words to learn, reinforced by spaced repetition.
We're taking a trip to France this summer and I'm hoping to have something usable for at least a couple months before we go.
Currently working on the mechanics of extracting content from ebooks.
I train BJJ and kept hearing the same pain points from academy owners regarding attendance tracking, communications, missing payments, etc.
So I built a tool for martial arts academies in 2024 with belts progression, automated payments, attendance tracking, and a tablet check-in system. Nowadays I'm still onboarding new academies every week and working a bit more on the marketing side to keep growing.
I'll admit it's terrifying to share this here because I don't know how to keep costs under control. For now only myself and my friends have used it.
Also trying to make a podcast out of it, which I enjoy listening to while I do some road trips: https://open.spotify.com/show/1fFwWMWJBJYIZmyz9cnrKB
https://threeemojis.com/en-US/play/globs
It was inspired by 2025 by thomaswc, a 45x45 connections-like puzzle. Globs jumped off from there and it's been very fun to make. I have AI generating the puzzle groups and it keeps surprising me everyday with what it comes up with. I've got demos up for over 20 different languages, and many different sizes of puzzle. Just recently, I got the puzzle to be generated daily for American English, British English, High German and European Spanish. It can also do custom theme puzzles like the following:
Big YC https://threeemojis.com/en-US/play/globs/en-US/demo?size=big...
Jumbo HN https://threeemojis.com/en-US/play/globs/en-US/demo?size=jum...
There is still some bugs I am tracking down (open the page in a private browser if you hit stale data) but the game has really come together lately and been a lot of fun, I hope you all like it!
I've decided to do it simply because of my grandmother: she dislikes bracelets and smartwatches because they’re uncomfortable and she often forgets to wear them. A contactless device could be much more practical for her and for many people like her.
Multi-threaded WebAssembly in action for route optimization, all bundled with geocoding, OSM maps and routing, and provided world-wide.
We're adding driver's PWA, saving and sharing of route optimization projects, editing of optimized routes, sharing it with others either for execution or for approval, integrations and AI-assisted data imports, auth flows, support prompts, sales automation and all that boring stuff.
I just published the first episodes today and have zero listeners or subscribers, so it can only grow from here!
https://historyofthemajorityworld.com
Spotify: https://open.spotify.com/show/4qJh2jNwMvWcLP1J1EMXxr?si=dcc7...
Apple Podcasts: https://podcasts.apple.com/rw/podcast/history-of-the-majorit...
- https://github.com/rumca-js/Internet-Places-Database - map of the Internet domains
- https://github.com/rumca-js/Internet-feeds - database of RSS feeds
- https://github.com/rumca-js/yafr - very simple RSS reader
- https://github.com/rumca-js/crawler-buddy - crawling project
- https://github.com/rumca-js/Django-link-archive - another RSS reader
The problem: if you use multiple AI tools (Claude, ChatGPT, Cursor, etc.), none of them know what the others know. You end up maintaining .md files, pasting context between chats, and re-explaining your project every time you start a new conversation. Power users spend more time briefing their agents than doing actual work.
Memory Store is an MCP server that ingests context from your workplace tools (Slack, email, calendar) and makes it available to any MCP-compatible agent. Make a decision in one tool, the others know. Project status changes, every agent is up to date.
We ran 35 in-depth user interviews and surveyed 90 people before writing a line of product code — 95% had already built workarounds for this problem (custom GPTs, claude.md templates, copy-paste workflows). The pain is real and people are already investing effort to solve it badly.
Early users are telling us things like one founder who tracked investor conversations through Memory Store and estimated talking to 4-5x more people because his agents could draft contextual replies without manual briefing. It helped close his round.
Live in beta now. Would love feedback from anyone who's felt this pain! :)
After one year of development, it's going better than I expected, so I'm considering building a demo to gather feedback and see if there's enough traction for working towards a Steam release.
Even if that's not the case though, it's been a blast learning about game dev in Unity/C#, as well as 3D modeling and animation in Blender!
Currently it has:
- Accurate recreation of Windows shell with start menu, taskbar, windowing system.
- Full desktop themes customization (color, cursor, sound, wallpaper, screensaver). All Win 98 default Plus! themes are included.
- Persistent local file system & mounting local folder as removable disk with ZenFS.
- Support playing Flash games and run DOS games (save game persisted). Yes, you can play Doom and copy your savegames to continue.
- Some accurate remakes of Windows 98 apps, some made by me (Solitaire games, Minesweeper, Notepad) some are existing ports (Pinball, JSPaint, Webamp, etc).
- Some other fun stuff
If you're interested in Windows 98, this is for you. You're also welcome to contribute or fork it to create your own version: https://github.com/azayrahmad/win98-web
Offline first, no tracking PWA for intermittent fasting and mindful eating. It helped me lose another 3 kg in January. Spiked a native iOS version, but I really like the simplicity of just the PWA. Not sure what's next!
--
Having done a lot of back and forth with LLMs and at the end throwing away learnings from a conversation felt so wasteful - reposit allows you to /share a summary of the valuable learning from your LLM chat for others to discover.
At the beginning of researching a problem, your agent can search reposit just like Context7 for docs. This way, even if you opt out of sharing your data with your LLM provider (as it's all or nothing), you can choose to publicise a solution to your problem with very little effort.
I'm working on extracting valuable learnings from open-source community projects as a starting point now (with attribution), as it probably needs a larger database to be valuable for users to install and use.
You can also self-host it and share privately within the company.
Started building it about a year ago after dealing with the same problem across multiple companies: circuit breakers scattered across dozens of services, each configured slightly differently, no single place to see what's happening when things go sideways. The existing options are either libraries you embed in every service (Resilience4j, opossum, etc.) leaving every server stateful, or going full service mesh which is overkill for most teams.
Openfuse gives you a central control plane for circuit breaker policies across your stack. You define your reliability rules in one place, get visibility into breaker states, and can react without redeploying anything.
Been a great project and I'm genuinely happy with where it landed. If you're running microservices or an integration-heavy monolith and have ever cursed at a cascading failure, I'd love to hear how you're handling it today! :)
Over two decades ago I was diagnosed with high blood pressure (for which am I have been on meds for about 15 years). I also have low platelets (red blood cells, basically means that I bruise easily and that small cuts don't heal fast). At any rate, I do blood tests on a regular basis to keep things in check. I have been keeping track of test results, weight and blood pressure result for nearly 20 years, but the data lives in a text file on my desktop. I wanted to build something more substantial for this for quite some time now, so, this is it.
This is part of a small hobby where I try to recreate aspects of old games myself to see how I would implement them. I eventually hope to have the skills to create the kind of game I miss playing when I was a kid 30 years ago.
I often have ideas, then spin cycles on starting the project, getting auth in place, making a marketing page, doing SEO, building and configuring pipelines for mobile app release, etc, etc.
My project builder just takes a name, a few configuration options (do you need payments? Analytics?) and spits out a templated build with Terraform that I can 1 (okay maybe 3) click deploy to GCP + App Stores.
The nice thing (I got help with Claude Code) is that now all my projects are in one place, I have a dashboard where I click in to and edit the code (with hot reloading - it deploys code-server and the applications in a small Kubernetes cluster, each project has its own pod) and when I am done editing I just click Deploy and it updates the "production" service in Cloud Run.
Not really interested in selling it as a service or anything (it's a bit too opinionated for that), but it's a very fun project to work on. I need to make Git + Versioning of the code work right now you only have a single copy of the code which isn't great!
7DTD is built on Unity Engine and modding is mostly done with XML/XPath and C#. I have yet to install Unity. I have a CLI setup, including a script to disassemble relevant 7DTD assembly DLLs into C# and copy other info from XML files into a directory in my repo.
This "refs" directory has about 800k lines of C# code and 300k lines of XML. Claude can figure out how to add a feature or fix a bug with a few minutes of searching the refs. At first it took 5-10 attempts to get results that actually worked, but now it's often 1-3.
Here are the mods I've released since early Jan:
- SteelUI: fixes for it to work with the latest game version[1]
- Smarter-Tools: a mod I authored from scratch to add a few tweaks to how tools work[2]
- More-Gore-Continued: has serious performance issues I'm working on - making progress[3] (adult only - requires sign-in)
If there's any interest I'm considering writing up all the details in an article and making the mod repos public.
[1]: https://www.nexusmods.com/7daystodie/mods/9386
Orange Juice
It’s been fun to come back to, most of the code I wrote still drives the business (it’s just far outdated).
I was pretty early on in my career when I wrote it, so seeing my mistakes and all the potential areas to improve has been very interesting. It’s like buying back your old high school Camaro that you used to wrench on.
How Home Alone My House - A fun app I'm making with my children using computer vision. The idea is I can scan the room with my camera before unwittingly walking into their traps and becoming a hapless adult who didn't pay close enough attention to tripping hazards and choke lines.
1. https://app.evvl.ai - a privacy focused Eval tool that you can download and compare outputs from different AI models (bring your own key)
2. https://dnsisbeautiful.com - an extremely clean and fast DNS lookup tool to track propagation across the different networks.
3. https://finalfinalreallyfinaluntitleddocumentv3.com/ - this is a Mac only file renaming tool (you drag and drop "screenshot1.png" onto it and it renames it to "dns-results.png" for you via local AI models. Though in true side project fashion the site looks kind of borked at the moment.
I built a scraper that pulls every job posting from the Who's Hiring thread, runs it through DeepSeek to parse the unstructured text into a uniform schema (role, company, location, remote, salary, stack), and presents them in a searchable/filterable UI. I know tools like this exist but I couldn't find one with the filtering and UI I actually wanted, so I built it myself.
Stack: FastAPI + Next.js + PostgreSQL, containerized on AWS ECS Fargate with an ALB. Frontend on Amplify. This is honestly my first real AWS deployment and I don't ever want to do this again. ECS alone took me a solid day to figure out. I also can't get amplify to use the domain I bought even though I set all of the DNS records up :/
Email notifications are still being worked on so right now it's just a view of all the job postings. Job match notifications and saving jobs should be up soon.
I would love feedback on the job matching and UI in the meantime (especially if you find a bug). Happy to answer questions or hear how you'd approach the AWS side differently!
Inspired by a TED talk I saw [0] where the researcher from Microsoft displayed a program with AI assisting with thinking while someone was reading and annotating a document. They claimed it was a way to sharpen critical thinking instead of killing it. They didn't release the product, but I figured it was cool and useful, so I've spent the weekend creating it. It's been a great way for me to practice using agents, and I've learned a lot from this process.
Right now I’m struggling to beat a baseline LightGBM model trained on hand-engineered expert features. My attempts at using a win probability head on top of nanoGPT, treating events as tokens, have been significantly worse. I am seeing about 65% accuracy compared to the LightGBM’s 70%. That 5% gap is huge given how stochastic the early game is, and the Transformer is easily 4 OOM more expensive to train.
To bridge the gap, I’m moving to a hybrid approach. I’m feeding those expert features back in as additional tokens or auxiliary loss heads, and I am using the LightGBM model as a teacher for knowledge distillation to provide smoother gradients.
The main priority here is personalized post-game feedback. By tracking sharp swings in win probability, or $\Delta WP$, you can automatically generate high or low-light reels right after a match. It helps players see the exact moment a play was either effective or catastrophic.
There is also a clear application for automated content creation. You can use $\Delta WP$ as a heuristic to identify the actual turning points of a match for YouTube summaries without needing to manually scrub through hours of Twitch footage.
https://waking.coreyburns.ca Kind of the polar opposite of above, a high energy trance radio station with cool visuals, connected to my local icestream with only banger sets.
https://hackernews.coreyburns.ca Just my own version of hackernews that is more pleasing to the eye.
'Situated' here means that your permission schema & permission data live with your data, which has a number of benefits:
- one less network hop, so can be faster than Spice for typical workloads,
- one less distributed consistency & syncing problem,
- one less component to run in prod with full consistency,
- potential to implement ZedToken / Zookies via Datomix txid, and
- easy to test new schemas with in-memory Datomic.
EACL is plenty fast without a cache since horizontally-scalable Datomic Peers already cache datoms aggressively, but there is another 10-100x improvement in the pipeline. EACL is especially suitable to real-time multiplayer apps built in frameworks like Electric Clojure.
IMHO, EACL is currently the best-in-class authorization library in the Clojure ecosystem and is improving every week. ReBAC subsumes both ABAC & RBAC. I recently applied for Clojurists Together funding to improve cursors for intermediate resource traversal, which is the primary perf. bottleneck.
EACL was not "vibecoded" as all tests were written by me and all code is human-reviewed, but EACL would not be possible for a single engineer to build mainly in his spare time without AI assistance.
Docs with rationale: https://eacl.dev/
https://www.mikeayles.com/#phaestus-wip
It is capable of creating a PCB (and outputs gerbers, bom, pick and place files), an enclosure (written in SCAD, outputs an STL for printing), and firmware, which it's able to compile using a pio runner on railway and provides a binary, but also has a webserial flasher for ESP32's.
There is a blog here, but i've been focussing on getting things finished, as I built it for a hackathon ending today.
I need to update the blog & writeup, because I have the first product it created, a bluetooth remote control. It wasn't without issues, but I have a working PCB, in an enclosure that was printed from it's design, running firmware it generated.
Behind the scenes I’m rebuilding the sync engine to properly support offline mode. Trying to get to instant opens for the app (and of course work offline). It’s probably my 5th sync engine. It’s been really fun to see how much easier, faster, better, etc each new iteration is.
(And the project at large is https://phrasing.app - a language learning app for polyglots. It’s like anki but designed to be enjoyed)
I've been working on my newsletter called Tech Talks Weekly[1] where my readers get one email per week with all the latest Software Engineering conference talks and podcasts[1] published that week.
In January, I've released a paid tier[2] where my subscribers additionally get:
1. Access to my internal database of all the talks and podcasts since 2020 (+48,000 in total) where they can search, filter, sort, and group by title, conference/podcast, view count, date, and duration.
2. The list of the most-watched talks over the last 7, 30, 90 days, 6 months, and 12 months based on number of views.
3. Category-based view of new talks & podcasts by tech stack, language, and domain (Software Architecture, Backend, Frontend, Full Stack, Data, ML, DevOps, Security, Leadership and every major language & ecosystem)
[1] https://www.techtalksweekly.io/p/what-is-tech-talks-weekly
I did post about Emilia a few months ago... now I have a domain https://meetemilia.com/
The basic idea is that you give Emilia knowledge about your family and friends, and then you can ask her questions or (eventually) get reminders.
I was motivated during an extended family gathering where I completely blanked out on the names of the partners of some of my cousins. I felt awful... trying to hide the fact that I didn't remember their names.
Now the names and who they are etc is there in Nonna Emilia, and through natural text I can ask questions like "what's the name of all the partners of my cousins on the side of my dad's family?" or something like that.
I am looking for alpha users. The service has legit helped me a few times already remembering stuff, but the amount of work to input all this data still bothers me.
Anyway, it's free. If you want go ahead and try (bugs here and there I bet, and you need a Google Account) and shoot me an email at inerte@gmail.com if you have any comment.
The second bubble there is a tool for 3D visualization and analytics of Claude Code sessions. The sample conversation is the one that made the tool itself!
That was a fun toy I learned a lot from. I’m not expanding that but am working intensely on the first bubble:
thinkt a CLI/TUI/Webapp for exploring your LLM conversations. Makes it easy to see all your local projects, view them, and export them. It has an embedded OpenAPI server and MCP server.
So you can open Kimi and say “use thinkt mcp to look at my last Claude session in this project, look at the thinking at the end and report on the issues we were facing”.
I added Claude Teams support by launching a Team and having that team look at its own traces and the changing ~/.Claude folder. Similar for Gemini CLI and Copilot (which still need work).
Doing it in the open. Only 2 weeks old - usable, but early. I’m only posting as it’s what I’m working on. Still working on polish and deeper review (it is vibe-crafted). There’s ergonomic issues with ports and DuckDB. Coming up next is VSCode extension and an exporter/collecter for remote agents.
Speaking of projects, I’m roughing out a method of pulling cost data for common services (compute, storage, databases, etc) across the three major cloud providers and making recommendations as to where to put things for optimal cost; a key component of a “universal cloud” idea I’ve been kicking around since 2020 or so, where the base cloud services are abstracted away into commodities rather than bespoke products or locked-in vendors. The goal is to basically have something like Terraform that will transpose its code to the destination cloud chosen by the cost analyzer at execution, and eventually auto-migrate load as prices or needs change (e.g., a client churning early and shifting that reserved instance to another customer for a higher margin).
Write once, and trust the pricing model to deploy it where it makes the most fiscal sense. No more learning Azure/GCP/AWS for bog-standard workloads anymore.
Basically, if you define a data model with bindings, you can inject data into it or extract data from it by running SAX-style visitors. You can use serializers/deserializers for standard formats like JSON/BSON/CBOR/CSV, or you can define custom formats for formating structured data however you want to. You can also run a serializer visitor on a deserializer to convert between formats. You can compose filter visitors to extract a subtree or filter out keys. And it's designed to fit on microcontrollers with very limited dynamic memory allocations, because it either streams data on-the-fly or works directly with the underlying data format in a big preallocated buffer.
I worked with libraries that offered a subset of these features before in my professional career (even built one myself), but recently I've had an epiphany (a document can also be used as a data model) that makes me think I can create something elegant and unique.
Always interested in possibilities of LLMs interfacing with MIP solvers.
It uses a simple points model instead of streaks or financial-style tracking to make expectations visible, progress clear, and follow-through easier.
In real use it’s solving three main problems: - As a Family Chore Chart — a digital chore system that actually gets kids engaged with responsibilities using points and rewards. - As a Personal Habit Tracker — a way for individuals to organize routines, add notes, and earn points toward meaningful self-defined rewards. - As Complete Homeschool Management — tracking assignments, logging progress by subject, and generating reports and transcripts for multiple students.
It’s entirely web-based (no app download) and works on phones, tablets, and desktops. I’m actively iterating on it based on real use, and it’s been most useful in situations where simpler systems actually get used instead of abandoned.
Check it out https://www.pointwisesystem.com/ Pre-Launch offering 6 months free
THINK is a modern CSS-first UI framework built on semantic HTML, custom elements, and data attributes. Uses :has(), container queries, and density scaling. No classes, no build step.
It‘s work in progress but I‘m pretty happy with the outcome so far, especially the data table component and automated Insights. I know it‘s not AI driven - but it works pretty okay for quick insights on the loaded data.
An AI based time tracker: reconstructs your day from whatever it sees you doing. Screenshot based but never stores them.
The same tech stack is pretty easily adaptable to openclaw tracking. If anybody would like to try, DM
Also looking into AI based security tools for monitoring security of DoneThat. Thinking of using zeropath would love to hear if people tried them / have other suggestions
Since the ShowHN thread, I received more than 40 individual game submissions!
To give more exposure to some of the games launched during the week I also launched a newsletter. Feel free to check it out if you want to learn more about games shown over the week :)
I worked with manufacturing companies, and the amount of manual document extraction and manipulation, particularly from accounting documents, was always a large burden.
The goal is upload a document → extract structured fields via LLM → generate new documents from templates. Has a dashboard, with an API, along with a webhook, very much a WIP.
https://store.steampowered.com/app/4009620/Tutankhamun__Buil...
It does this by taking a screenshot of the page, but before it does that, you can modify what’s displayed in the screenshot with CSS, tailwind classes, meta tags, or HTML templates.
If you connect your website to it, the only thing you need to deploy to your web app are a few meta tags. The OG+ servers do the heavy lifting of processing the meta tags to setup the page, take a screenshot of it, and serve it up to the consumer.
The other cool thing it does is generate a different Open Graph images per social network so they all get an image for the exact size they works best in their previews. The CSS or HTML templates are aware of this too so you can display different content to specific social networks.
The end game is no/low touch weekly meal plans send directly to your inbox, with meals you love to cook but with none of the hassle around planning the meals, shopping list etc (which I spend hours doing every week).
An important feature for me was improving the recipe discovery experience, you can build a cookbook from chefs you follow on socials (youtube for now), or import from any source (Web, or take pic of cookbook etc) - it then hastight / easy integration into recipe lists.
Utilising GenAI to auto extract recipes, manage conversions, merge/categorise shopping lists etc - as-well as the actual recommendations engine.
If anyone is interested in beta testing / wants to have a chat I'll look out for replies, or message mealplannr@tomyeoman.dev
I'm also working on a new strength gains-tracking app that is a lot more intuitive, motivating and friend first. I've been using it with some friends for the last 10 weeks and everyone making is consistent gains. It is my first full PWA, vanillaJs, backend is Lucee & MySQL. Works great on iOS and Android, no one has any complaints. The web stack has come a long way I am probably not going to do a native mobile app for a while. I'll probably make it public in a couple weeks.
A friend runs a small manufacturing company and asked me to recommend a support tool. All the big names cost $20 per user per month, all trying to upsell AI agents and features a small business would never touch.
For a small team that just needs to answer emails without losing track of who replied to what, that feels crazy.
He just needs a tiny simple tool that does one thing well. So I'm building one.
Rails app, self host with Kamal on a cheap VPS, connect your email, invite your team, done. Still early days but it's really fun to solve these problems together in a real business.
bambutop -- a Rust/Ratatui TUI built for monitoring your BambuLab 3d printer.
Operates fully locally, catching the MQTT messaging that your printer already sends over the LAN. No cloud, no accounts, direct access to your printer(s)…
Super lightweight, shows just about everything you'd want to see on idle printers or running prints, and supports multiple printers & AMS.
You tap in what ingredients you’ve got, add a time limit + a couple of preferences, and it gives you 3 genuinely doable dinner ideas with step-by-step recipes (no “manage your pantry”, no endless scrolling).
It’s early, but people seem to like the “use up what you’ve got” angle. Feedback very welcome.
Someone who is physically at a place can scan a QR code and leave a short message in their browser. No app, no account. Messages are asynchronous; staff reply when available. This is not live chat. It's meant for in-the-moment feedback or questions that don't justify interrupting staff or becoming public reviews.
Constraints: async only, anonymous by default, no customer tracking, messages tied to specific physical spots
Free early access until Sept 30, 2026 (+ one extra free month). No credit cards (no payments yet). I'd love to hear your Feedback. Thank you.
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".
A hobby project I started putting together late last year; a little spot on the internet for prayer and reflection.
https://dugnad.stavanger-digital.no/
A pro bono tech consultancy for local non profits. The idea is to help them use tech to better deliver on their mission.
Just today I finished off building a little PWA to help a couple of non-profits offload the admin of volunteer scheduling (mostly done through whatsapp, messenger, etc).
I'd recommend others try the same pro bono consulting in their local area, it's quite rewarding!
Myself, mostly. Trying to wrestle with realizing how much time I've not been spending on my supposedly main project[1] and questioning whether it's really worth doing.
> Any new ideas that you're thinking about?
Way too many. Writing todo lists is part of working on myself.
[1]: PAPER, a pure-Python ~(pip/pipx replacement), from scratch with an emphasis on simplicity and elegance. https://github.com/zahlman/paper . There's more locally that I haven't pushed, including factoring some stuff out into a separate project and planning more of the same. But yeah.
The site has become quite a hit and gets thousands of unique visitors each day. https://www.privateequityvet.org/vet-list
Basically tracking where my friends and I have collectively been by dividing the global map into H3 hexagons. The using photo and workout metadata to get the locations, giving points and doing comparisons between everyone. It’s actually quite fun to see random people around the world sign up and see in the global map where everyone has been. Grounds me a bit haha.
In the above article, we list a few applications that we think this could be helpful for: life skills, management/sales training, personal coaching, etc. We'd love to demo the software if this sounds interesting to you!
So I'm building Taskplan (https://taskplan.run) - it's like Ansible, but for people. Build a plan, assign tasks to people or teams, and get a real-time dashboard to track progress as the work happens.
I'd love feedback from anyone who deals with the same issues or works on ops-heavy projects.
Stretch goal: start transcribing sermons (most churches link to videos) and using a LLM pass to look for toxic traits. Speak truth to power about how a lot of them turn a blind eye to this political moment.
We’ll see how it goes.
Biggest challenges: - How to explain the different use-cases/possibilities in a clear way - DX for any hacker who comes across the device with/without hardware experience
https://github.com/asteroid-belt/skulto
Started building this after getting nervous about installing random SKILL.md files from GitHub. Scans for prompt injection in markdown/references and suspicious patterns in scripts/.
- 200+ curated skills included
- 33 supported agents
- Symlinks for one install anywhere and automatic updates
- CLI, TUI, or MCP interface: try asking Claude to find and add Awesome repos.
- Semantic search across skill content
Working on: local skill authoring, mise-style directory activation
Go + Bubble Tea. Happy to hear what's missing.
Hosted OpenClaw, one click and you get a full agent with configurable skills, channels and the whole thing, all running in its own sandbox.
I love OpenClaw but setting it up is a pain: VPS, Docker, API keys in plaintext, security patches... So I’ve spent the last couple weeks building a hosted version that handles all of that. Each user gets their own isolated environment on Cloudflare Workers.
Still doing some testing with friends before opening signups but planning to launch properly this week.
Would love feedback on the landing page in the meantime!
Month 2 of building the SQL client I've always wished I had.
One feature I'm especially proud of is the visual query builder. Drag & drop to build SQL queries.
There's also an entire SQL tutorial section for anyone who wants to learn or refresh SQL knowledge.
I'm a self-taught coder who first built this 7(!) years ago but couldn't figure out the OCR part. Started again 9 months ago on Replit (starting with Agent 2 which was okay, then eventually starting to absolutely crank with Agent 3) and it works really well now.
Would love feedback from any golfers! golfrise.com
Got is built on Blobcache, which is a general-purpose transactional storage layer and E2E encrypted backend.
That means I have to: - build something so I can evaluate the results. - track each of these projects separately otherwise they turn into dust after quite some time. Gladly claudesidian seems to be working well with the unstructured stream of inputs. Feel like hooking it up with some task tracker cli and calendar and notifications could make life a bit better too. - plan next projects to keep evaluating other skills and tools
It’s been discussed so many times the amount of new or personalized software that appears and will appear and it seems so true.
Whatever I built I am actively using myself - a text rewriter that cleans some of the AI speak and has MCP and cli (at https://www.refineo.app). Math teaching and solving extension at https://math.photos and a self hosted stock opportunity discovery tool that runs locally. This is just to automate what I did before manually and scale it up a bit.
> Any new ideas
There’s no product yet to cover the needs of all of us launching the software into the internet void. Any ad platform out there is a hot and very outdated mess and I just can’t. There is going to be a better way with all the capabilities we have and someone is going to really nail it.
On January 11th, Google and Shopify announced the Universal Commerce Protocol (ucp.dev). It's an open standard that lets any application query products across e-commerce platforms without needing APIs, integrations, or middlemen. AskUCP is one of the first applications built on it.
Right now, if you want to buy something online, you have to know which store sells it. You go to Amazon, or you go to a Shopify store, or you go to Etsy. Each one has its own search, its own interface, its own checkout. The experience is fragmented because the infrastructure is siloed.
UCP changes this at the protocol level. If products are described in a standard format, any application can discover them. You don't need permission from each platform. You don't need to build integrations. Anybody or any AI agent just querys the protocol.
AskUCP is designed to be a single pane of glass into online commerce. You search once, and you see products from across the ecosystem. Currently, that means the entire Shopify catalog. As more platforms adopt UCP, their products become explorable too. Eventually, it should be everything.
This is a proof of concept. It's early, and there are rough edges. Let me know what you think, refinements, ideas etc etc.
Aiming to get that published in the next day or two, and then I plan on diving in on a complete rewrite of the book I wrote on building Shopify apps with .NET and C#. It's long overdue, the book still uses Shopify's deprecated rest API and some methods that aren't supported anymore, but I've been holding off on an update until I could rewrite it with the new fluent query builders in ShopifySharp.
Outside of my OSS stuff, I'm continuing working on my SaaS app, Stages (https://getstages.com) [¹], which has been paying my mortgage and bills. Customers have been asking for lots of features lately and I'm anxious to get a particular one finished (filtering orders and events before they come in and are saved to the app) soon. It's my biggest source of churn right now.
[¹] Elevator pitch: the app is like a pizza tracker for your orders that have a custom or long, drawn out production process. Your staff and customers can see exactly where an order is in the process without calling or emailing you. Shopify only for now but one of main dev goals is to move beyond Shopify.
Not anywhere near production-ready yet but if this is up your street and you want to contribute then I'd be grateful! I have the back-end stuff well under my belt but I'm allergic to javascript and my CSS skills are pretty limited also.
Also in the works down the line: a simple document management system (another Django app, probably) that allows basic but ISO-compliant document control (centralised access controls, automatic document-numbering, review/approval and draft/issue processes, configurable document indices, etc.) aimed at SME or contractor use. Everything else I've tried in this category of software is either abandoned (or otherwise stuck with a tech-stack from nineties), active but a PITA to ensure ISO-compliance, or hugely over-complicated (i.e. ideal for a big corpo but too much admin overhead for an SME) so I'm brewing my own that aims to meet the minimum feature-set needed for easy ISO-compliance.
Currently in Shanghai but will move to Tokyo next week. Once I'm in Tokyo I'll publish a few posts about AI assisted coding and product creation.
Also adding a few things to my ideas page: https://bryanhogan.com/ideas
Other things I'm working on:
- https://dailyselftrack.com/ - Got into working on it again, mainly solving some UX problems currently.
- https://game.tolearnkorean.com/ - Learn Korean words quickly, words go from easy tasks (e.g.) matchings pairs) to more difficult ones (writting it), currently still needs some slight adjustments, and then I'll release an Android version.
- https://app.tolearnjapanese.com/ - Wanted to learn Hiragana quickly, used my existing project as a base to build this. Needs some adjustments as well, feedback is highly welcome.
- https://tolearnkorean.com/ - Since I'm learning Korean, and also working on an app to better learn Korean, I also want to make a guide on learning Korean, improving my own skills by teaching others.
My main goal is not just a "the model made code, yay!" setup, but verifiable outputs that can show degradation as percentages.
i.e. have the model make something like a connect 4 engine, and then run it through a lot of tests to see how "valid" it's solution is. Then score that solution as NN/100% accurate. Then do many runs of the same test at a fixed interval.
I have ~10 tests like this so far, working on more.
Would love feedback!
https://demo.shoehorn.dev will be deployed soon and full release "beta" will be released in march.
https://registry.terraform.io/providers/shoehorn-dev/shoehor... https://github.com/shoehorn-dev https://shoehorn.dev/
Feel free to reach out, hello@shoehorn.dev
Many mainstream email providers have switched to require OAuth for login, but there are tons of clients and apps that don’t (or can’t) support OAuth.
Auth-Email is a secure, private relay that takes out the need to worry about OAuth: authorize mail accounts one time in our dashboard, then use an ordinary username and password for IMAP, POP, and SMTP via our server.
I'm one of the maintainers of PGlite - PostgreSQL in WASM.
We have lots of updates in the pipeline, just listing some of them:
- making it easier to upgrade PostgreSQL's version
- PostGIS - this is one of our most requested extensions and although we have it running server side (ie node, bun, deno) Chrome is holding us back from releasing it
- multi-connection multiplexing over a single instance
Native library is also on our radar, just needs more time...
A good friend of mine is a retired financial planner and is always talking about different ways I could leverage options to reduce risk in my portfolio. I understand the basics, but really don't "get" them, so I thought a game might help me to understand them better.
* https://screenspy.app - observe what youd child is doing on desktop PC. Roblox or homework?
* https://weblock.online - a VERY restricted, whitelist-first mobile browser for kids, use it instead of Safari. I want to feel calm when my children browse the web.
The problem I kept running into while organizing meetups and workshops is that once the event starts, the agenda drifts. Speakers go over, breaks shift, and there’s no clear "source of truth" for what’s currently happening.
Most smaller events rely on countdown timers, shared Google Sheets, or manual updates. Larger conferences use full event platforms, but those tend to be heavy (and priced for big conferences), which feels like overkill for a 50-300 person meetup.
I'm experimenting with a lightweight approach focused just on live agenda control and visibility, ideally something much more affordable and simpler than the big all-in-one platforms.
Still figuring out whether this is a niche annoyance or a real recurring pain. Curious how others here handle live schedule drift during events.
Releasing in a few weeks. https://pleanar.com
Would appreciate any feedback.
We trained PyTorch models on solved poker scenarios for post-flop, turn, and river situations. The planned "killer feature" is to give users feedback on their poker play in the flow of a simulated poker tournament or simulated cash game scenario. The goal is to play against "GTO Bots" (Game Theory Optimal Bots) to learn how to play closer to GTO.^1
Poker has been a passion of mine for a few years now, I find the game incredibly intellectually stimulating as well as a tremendous catalyst for personal growth, and this project has been a great way to channel that energy.
The web app uses Django/Channels/WebSockets. We've built an internal discounted CFR solver as well, hopefully building up to multiway scenarios in the future. The webapp is still in Beta/gated, and you're interested in learning more please email contact at surlesol dot com.
We are thinking of pricing $8/month or $74.99/year, with the rationale that this will be far less expensive than learning by experience at even micro stakes for online poker, with better feedback for learning, and at least we make it explicit that you're competing against bots ;-)
1. I am aware that GTO play is not always optimal, especially in live poker where live tells are available, and often exploitative strategies fare better than pure GTO. The target audience for ComputerPoker.ai is not hardcore poker pros, there's plenty of existing software for that, but rather those individuals looking to get acquainted with what GTO play "feels like." Then, with this knowledge in hand, knowing what the GTO play would be given various assumptions about our range and a reasonable opponent's range, we can deviate from the GTO play as deemed necessary.
Full project: https://euzoia.org
Tried to be super low-tech: Notion, super.so, Spotify creators, riverside.
Now thinking of building an email-based agent for behaviour change accountability. Would love any pointers to good UX for email-based AI assistants.
https://github.com/rdavison/DXX-Raytracer-ar/releases/tag/ar...
It started as a small attempt to stop bouncing between dozens of web tools for things like JSON/JWT, base64, regex testing, cron expressions, and similar “glue work” tasks. Over time it’s grown into something I keep open all day.
Since the last time I mentioned it, I’ve added quite a bit: • ~40+ tools now (regex tester, PDF merge, image conversion, cron builder, etc.) • workspaces for grouping tools around a task • tool chaining instead of constant copy/paste • snippets, history, and recent items • automatic detection (paste data, it routes you to the right tool)
It’s an Electron app and runs fully local. No accounts, no tracking, no sending data out. The goal isn’t novelty, just reducing friction in everyday dev work.
I’m still smoothing rough edges and figuring out where this is most genuinely useful. Curious how others here think about scope creep vs. “daily driver” utility tools, and what’s worked or failed for you in that space.
Because they're relatively low-effort (Amazon is terrible for sellers in many ways but man do they provide an incredible amount of infrastructure), that leaves me plenty of time to play with AI, and it just so happens that the business serves as a giant, practical eval as new models come out.
I've been vibe coding apps for internal use and using Nano Banana for listing images and whitebox photos, and more recently I've started to lean on Claude Code heavily as an assistant. It's got API creds for my Amazon account, so I use it for everything from figuring out when I need to reorder to filling out spreadsheets for companies that safety test my product.
And of course I am writing a Substack that I must shamelessly self promote that goes into the practical use cases of AI in my business: https://theautomatedoperator.substack.com/
API costs for LLM are getting ridiculous. By managing a 4K context window, I can get tiny local models to do advanced research tasks that require dozens of searches and building a knowledge graph for $0.
https://github.com/jerich/jetson-face-af
It was a personal project to let Claude Code loose and have something to talk about on LinkedIn, hopefully to start a conversation about how to add some more advanced, more personal, functions to the powerful AF systems out there.
“Nikon AF does a great job of recognizing faces, but it doesn’t know which faces I care about.”
But I wanted to augment, not completely take over the camera; keep the Nikon shooting ergonomics intact.
Even the latest and greatest cameras will lag the processing power of something like a Jetson Nano, or even a mobile chipset, and cameras are meant to have lifetimes of years, so I think a smart camera manufacturer (hopefully Nikon) should add an easy external processing loop to let users add some extra smarts and automation.
The idea: lawyers spend 60%+ of their time writing documents. We give them an AI assistant that actually understands legal context — case files, templates, emails, the full picture.
What we've been shipping lately on the v3 branch:
• Workflow engine — visual editor + execution pipeline for legal document workflows (think: intake → draft → review → send, all orchestrated)
• Case-context AI assistant — docked right into your case view, with file attachments, skill system, and next-action suggestions. It knows your case, not just your prompt. Think Pipedrive CRM for lawyer!
• Skills system — modular prompts lawyers can pick and inject (summarize deposition, draft motion, extract key dates, Claude Skills, etc.)
• Cloud drive sync — bi-directional sync with Google Drive and OneDrive. Lawyers keep their existing file setup, we plug in and keep everything in sync
• Outlook, Gmail, IMAP email integration — connect your inbox, pull relevant emails directly into cases
• Template multi-output generation — one case, multiple documents generated in one flow
• BYO AI provider — user/workspace/admin level settings for AI models. Some firms want Azure, some want Anthropic, we let them choose
• Canvas boards with AI context for visual case planning Stack: Next.js 16, FastAPI + LangGraph backend, Supabase.
We're a small team in Switzerland and across the globe, shipping daily. Target is Q1 for the v3 launch. If you work in legal or know lawyers drowning in document work: would love feedback or test our beta :)
Dimensionally accurate AI 3D modelling. My grandpa has a 3D printer but struggles to use any complex tools. So I am working on this chat interface to allow him to do some simple models.
So far he has triggered more than 150 generations. It’s getting better every model cycle and gives me something I enjoy working on.
I was hit by a big wave of depression last year. That crisis gave me a couple of periods of hyperfocus, and I thought I might as well use them to try to improve my mind and my ability to reason.
I haven't had good results learning certain subjects, like CS/math, with Anki or other flash card systems. The only thing that ever seemed to work for me was doing a lot of problems with pencil and paper. But without problems exercising those tools or techniques, they tended to just evaporate from my mind.
So my idea was to combine spaced repetition and problem presentation, and create a system for generating problems and validating their solutions randomly and parametrically. So successive presentations of the same card would present a different problem... and the overall effect would hopefully be that you learn the invariants that each card is trying to present, instead of memorizing some combination of variables and values. Sort of MathAcademy but for CS.
I _think_ it's feature-complete at this point, though I'm still working on validating and publishing cards (and there are a couple of things I wanna do to improve security). I'm pretty early in the dogfooding process, and I'm still the only person using it, and there are definitely bugs. But if anyone would like to try it out, I'd be delighted to hear your feedback (email in profile, also on site). Just maybe go a little easy on me right now, lol :/
The Boolean Logic and Lambda Calculus subjects are free forever, and the first topic of each other subject is also free, so if you're intrigued you can use it for quite some time (literally months) before even needing to provide an email address. No need to pay for anything.
It's a finance app (I know — another one, stay with me here) that skips budgeting entirely, instead tracking spending and trends.
It learns your spending patterns and flags anomalies — DoorDash doubled, weekly spending is above normal, a subscription you forgot about is still charging you, etc.
I've noticed a lot of coworkers and friends who earn a good living and don't have a desire to account for every penny. They know they should save, they put money in retirement accounts, and they don't want the complexity of a Monarch, Copilot, YNAB etc — they just want to have a handle on their spending.
I’m as interested in product feedback as website feedback tbh, given this crowd I figure I can get some good tips. Either way, would appreciate a look at the site.
The first three are:
- miniWake: keeps the computer awake
Alternatives: Powertools; USB mouse jigglers
Features: installs without admin rights; triggers invisible mouse events; turns off at LOCK, turns back on at LOCKOFF (saves battery); manual turn off or on via double-click on the icon
- miniRec: records system audio + microphone to mp3/wav
Alternatives: various utilities like Voicemeter, AudioRouter, or some DAWs
Features: does not require any special driver; installs without admin rights; light on resources; "invisible" to third parties (video meetings); auto turn off after 5 minutes of silence (configurable)
- miniCron: system scheduler as a service
Alternatives: NSSM - the Non-Sucking Service Manager; Splinterware
Features: launches any program at any given time (cron like but without cron syntax); kills the current task when the service is stopped; reads and logs stdin/stderr; very light on ressources and very simple
Two others are in the works.
Most recently, we added support for benchmarking (create custom dashboards tracking nav and value chart of subsets of your portfolio) and us stocks, etfs etc.
I wrote about benchmarking here: https://finbodhi.com/docs/blog/benchmark-scenarios
NOTE: you can try demo without signup, but it doesn't work in Firefox Incognito mode.
The agent uses LLMs + RAG to understand product descriptions and classify them hierarchically into 6, 8, or 10-digit HS/HTS codes, including country-specific variants.
Key points: – <30 seconds average classification time – ~90% accuracy on real-world product data – Human-in-the-loop for review and overrides – Supports WCO, US HTS, EU CN codes
We built this after seeing how much time and money teams lose due to misclassification and customs delays.
Would love feedback on: • Accuracy expectations • Edge cases / ambiguous products • How this compares to existing customs workflows
Happy to answer questions
https://simplai.ai/agents-library/hs-code-classification-age...
An opensource iot drone for less than thirty dollars.
I got tired of guessing why my timeline looked the way it did, so I built a tool to reverse-engineer the "Heavy Ranker" logic in real-time.
It’s an MV3 extension that overlays the hidden weight of every post directly in the feed. It distinguishes between organic content ("Thunder" nodes) and AI-injected recommendations ("Phoenix" nodes) so you can actually distinguish following vs. algorithmic fill.
The scoring is based on a log10(Engagement) * 20 formula to visualize velocity. I originally built it just to clean up my own feed hygiene, but it turned out to be a pretty useful arbitrage tool, identifying "flops" (good topics from big accounts that failed due to structure) that are worth rewriting.
All the analysis happens locally in the browser. Would love to hear what you think about the scoring accuracy.
It wasn't until we had a leadership retreat at my day job with a fantastic speaker (Woodrie Burich) that the idea for my platform spawned. She talked about how the $50B wellness industry is doing it wrong. Your company is giving you useless yoga stipends, when truth is they should be paying attention to your overall well being. One idea she presented that resonated with me was using a traffic light-like system to gauge where your employees are mentally at.
I took that to heart and verbally applied it to my team. Then I realized that a platform would give better visuals of the data and be easier to incorporate into everyone's day to day. A couple months later I finally released it.
An alternative to tools lik sst.dev or serverless framework, or a PaaS services like Render.com or Flightcontrol.
Deploys to user's own AWS. IaC-first. Has a PaaS-like console UI.
The best features: auto-generates IaC config by scanning your code. Has built-in EC2 runner which is 2-6x faster than AWS CodeBuild.
We've now also implemented dev mode, which is similar to SST. It deploys parts of the stacks that can't be locally emulated (lambda functions, cognito, etc.) with fast re-deploy, and emulates everything else (containers, SQL databases, Redis, DynamoDb, etc.) locally. This means testing/developing is pretty much free, and you have the fastest feedback loops possible.
Whole Stacktape, and dev mode in particular is also very optimized for coding agents with `--agent` flag.
To try it, run `npx stacktape init`
EDIT: Changed the link to github. Stacktape core is now open-source.
I'm expecting my first child soon so I am building it for me and my family first but if it solves a problem for me, maybe others will like it!
The basic idea is that you are uploading a curated set of photos you want to share, not your whole camera roll.
You can create one or several family groups that you can share individual photos or albums to. Members of those family groups can view, comment on, like, etc those photos.
You can also generate sharable links for people who don't have an account with a configurable expiry time.
It currently more or less works on the web but I am also working on iOS and Android apps since that is how my extended family would want to interact with it.
I'm not quite ready to launch it to the public but if anybody is interested in trying it out or offering feedback I can privately share it :)
I have been through a number of iterations of adders, integrators… It's starting to coalesce now into a finished PCB. (Iterating is slow though at the PCB stage since we're round-tripping via Asian PCB fabs.)
As often happens, I want to learn about something (analog computing in this case) and I find that a deep dive where a kit comes out at the end is an enjoyable way to explore (I also get more experience with KiCad and, for this project, SMT).
The seed of this were a few articles on building a "lunar lander" circuit in early '70's electronic hobbyist magazines I found online. Pre-home-computer, how does one create a lunar landing simulation? Why with op-amps and panel meters of course.
And so that is where I began. But I'm way past that now though by making instead a general purpose analog computer.
Next month prep starts for finding dev work after an extended hiatus.
https://github.com/yelinaung/expense-bot/
https://gitlab.com/yelinaung/expense-bot/
As you may see from the git history and "contributors", it's mostly Claude and AMP making the changes. I am not entirely sold on these agents and not particularly excited by these. But I also feel that I can't afford to sit out this transition so here I am...
https://github.com/rustledger/rustfava This is a fork of Fava, the web UI that Beancount users know and love, but with the Python parser swapped out for rustledger running as WebAssembly. I packaged it up as a native desktop app using Tauri, so you just double-click to open your ledger files with no terminal or Python needed. It also works via Docker, PyPI, and Nix if that's more your thing.
https://github.com/rustledger/pta-standards I started this project to create proper formal specifications for plain text accounting formats, covering Beancount, Ledger, and hledger. It includes EBNF/ABNF grammars, JSON Schema and Protobuf AST definitions, tree-sitter grammars, Alloy models for invariants, and conformance test suites. The idea is to make it possible for anyone to build a correct, interoperable PTA implementation without reverse-engineering existing tools.
https://github.com/robcohen/peervault This is an Obsidian plugin that lets you sync your vaults directly between your devices over P2P connections, no central server involved. Has S3 fallback if you want. It uses Loro CRDTs so concurrent edits merge cleanly, and Iroh compiled to WASM handles the networking with NAT traversal and end-to-end encryption. Until iroh-docs or iroh-willow comes out with WASM support, this seems to be the best solution for obsidian syncing.
`brew install tritium` (macOS)
`winget install tritium` (Windows)
`curl -f https://tritium.legal/get | sh` (linux)
Check it for free out and let us know your thoughts!
Klava got: - Themes that are based on BlackBerry, Windows Phone and other OSs / aesthetics - Above-word suggestions that you can flick up, it's super nice + on-device LM - Gestures: swipe left to delete words and such - Full customisation: turn stuff on and off (incl. things mentioned above) as you will - Slack-like emoji suggestions such as :fire - 25+ languages - And more stuff cooking
Showing some love on today's ProductHunt launch would be appreciated immensely y'all :) https://www.producthunt.com/products/klava
So of course no journal or conference is in the least bit interested, and I'm now reformatting it for another obscure low-tier journal that no-one will ever read.
Otherwise:
- automating the translation of a Byzantine Greek work that has never been translated into English before. https://stephanos.symmachus.org
- also preparing evidence for a case against the university I sometimes work for.
[+] Linear regression, but instead of minimising the Euclidean distance, minimise the p-adic distance - https://en.wikipedia.org/wiki/P-adic_valuation
Working on a platform where you describe a story concept and it becomes a real, illustrated picture book - professionally printed and shipped to your door.
The key difference from "personalized" book companies: this isn't template stories with a name swapped in. You bring an idea - maybe a book about a kid with a cochlear implant going to their first day of school, or a bilingual German-Turkish story about visiting grandma's village - and it generates a complete original narrative with consistent illustrations throughout.
You can upload reference photos so characters actually look like your child. Supports 30+ languages including bilingual editions on the same page.
Currently refining the showcase features and adding RTL language support.
https://play.google.com/store/apps/details?id=com.superfun.w...
A metacritic like website but for any product.
It analyzes thousands of professional critic reviews to find the best of the best.
I started building this because I adore how metacritic analyzes professional movie/game/tv show reviews and calculates a meta score for each title. In my experience it’s the best way to discover new things to watch or play, and I’ve often wished something like this would exist for when I want to buy a product.
This year, I decided to start building it myself and Criticaster is the result.
For a given product category we collect all professional reviews of a given product, analyze each to assign them a score and then calculate an average critic score.
The goal is to become the most trustworthy source to make product decisions.
Very curious what y’all think!
From the README: "[git-forge is a] simple CLI tool for basic interactions with issues and pull requests across GitHub, GitLab, Gitea, and Forgejo".
Right now, I am looking into better testing. Currently, I do testing by mocking the forge APIs and then running git-forge against them with TypeScript. But not everything is testable that way. The TUI is pretty much untested. So I now want to port at least the tests to Rust (I am probably gonna leave the mock API in TS) and need to look into how to tests TUIs, which is a bit of a challenge since not only is Rust my first "systems programming language", I am also not knowledgable in Terminal/TUIs...
- Daylight Goals ( https://daylightgoals.com ) - I’m releasing a major update later this month, it is an app built around pushing you to spend more time outdoors in the sun, using automatic time in daylight tracking via the Apple Watch & Apple Health. The update reorganizes the app and adds a lot more dynamic notifications.
- HourStream ( https://hourstream.com ) - A project based time tracking & invoicing app I built for myself, as I’ve moved to consulting work and I’ve disliked basically every invoice tracking app I’ve tried. Still have a lot of things I want to add, but it is getting there.
traymd: A system tray notes application that supports basic live input of markdown. https://github.com/rabfulton/TrayMD
reelvault: A local film browser and launcher. https://github.com/rabfulton/ReelVault
preditor: A simple image viewer that shows each image in the center of the screen in a window sized for that image with some basic editing functions built in. https://github.com/rabfulton/preditor
Tiny desktop (pre)viewer which displays image in transparent overlay without any UI, allowing to look into specific image detail with single hand move (zoom with scroll and pan with drag simultaneously like in map apps, with nothing but display borders limiting visible image surface) and toggle between file manager and image view almost instantly (close with left click anywhere/keyboard Enter).
Also finished initial rewrite in Rust just hours ago:) (originally did it in C and intentionally tried to make it initially close to preceding C codebase before going further, so many things are still managed manually)
The other thing I built but am less interested in personally just through should exist, is something like MoltBook but for more formal topics like the sciences. -> https://ideas.gd/
I got tired of the gamification and social elements of Goodreads, StoryGraph and others. I don't care too much about reviews, but do care about engaging deeply with what I am reading.
Lot's to do still: - Refining the experimental MCP integration so I can bring my bookshelf into my AI assistants - OCR to build notes from screenshots - Voice notes
I wrote a little about why I am building the app here: quietreads.com/about Thoughts on building the app: https://thinking.luhar.org/2026/01/building-at-the-speed-of-...
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, curated by you version of the Daily Mixes. You can add some advanced filters as well, if you really want to customise what music you'll get.
It works best if you follow a good amount of artists. Optionally you can get recommendations from artists that belong to playlists you follow or you've created - if you don't follow much or any artists, then you should enable that in order for the service to be useful.
It's a free USCIS form-filling web-app(no Adobe required). USCIS forms still use XFA PDFs, which don’t let you edit in most browsers. Even with Adobe, fields break, and getting the signature is hard.
So I converted the PDF form into modern, browser-friendly web forms - and kept every field 1:1 with the original. You fill the form, submit it, and get the official USCIS PDF filled.
I found out simplecitizen offers a DIY plan for $529 (https://www.simplecitizen.com/pricing/)
So, a free (and local-only) version might be a good alternative
Fully off-grid using solar, batteries and Starlink for uplink. Focusing on AI inference at the beginning. Currently building our first prototype and testing cooling solutions.
It’s a beta, but already works well on desktop and makes it easy to explore musical neighborhoods and discover new artists by traversing the graph.
Here's the link in case you wanna find some new music to listen to, or look at the artists you know and love in a different light - https://overtone.kernelpanic.lol
Feedback welcome — especially on UI/UX and scalability limits.
The rest of my time goes into a few personal projects, most with no public URL yet.
* An IndieAuth provider based on WebAuthn, the idea being that instead of relying on delegating authentication, it could be handled directly using, e.g., U2F keys or a device.
* A temporary e-mail address provider with deterministic addresses for attribution.
* A self-service menu / ordering service
* An E2EE document signing solution
* An HTTP media type negotiator (https://github.com/ApelegHQ/ts-http-media-type-negotiator) -- negotiate based on accept headers. This was because I couldn't find a negotiator that correctly parsed headers.
* A JS sandbox (https://github.com/ApelegHQ/lot) -- Tried to implement something lightweight yet functional
* A MIME multipart encoder and decoder (https://github.com/ApelegHQ/ts-multipart-parser) -- Attempt at a lightweight, general and spec-correct parser
* A lightweight ASN.1 DER encoder (https://github.com/ApelegHQ/ts-asn1-der), meant to be used with its sister project (https://github.com/ApelegHQ/ts-cms-classes) --- Part of the document signing project
* A web-based self-contained encryption/decryption tool (https://github.com/ApelegHQ/ts-cms-ep-sfx) --- Created to easily share files with maximum compatibility (ZIP archive inside a CMS payload) and minimum requirements.there's a lot of good work happening on agent memory right now. but it's all single-player. your agent remembers what you did. it has no idea what your co-founder just spent four hours figuring out. we kept solving the same problems twice, or discovering decisions the other had made only when something broke.
the missing piece wasn't better memory. it was shared memory. not 'sync your notes,' but a layer where the act of one person working becomes context for the next person's session automatically.
egregore adds this shared cognition layer on top of claude code. your team shares tooling, knowledge, and skills that evolve with how you actually work. you get full visibility into what the organisation is doing, not through dashboards, but because the memory is right there when your agent starts a session. handoffs between team members, structured reflection on workflows, a knowledge graph that connects decisions to who made them and why.
we've been running on this internally for about a month and honestly the difference is hard to go back from. the organisation has its own continuity now. context stopped being something you maintained and became something that just accumulated from working.
terminal-first, git-native. we just launched and are looking for early alpha testers. if you're building with claude code in a small team, happy to give early access if you want to try it!
It fits the bill for me where function coloring provides something truly useful that you can't get without threading. Using Celery canvas to compose signatures is a great step, but the added power of being able to compose them in a more standard code flow is the killer feature that I wanted bad enough to write it myself.
To show newbies how to use vim. Currently its not complete and has major issues. So if you want to try give it a go, but please hold your judgement as not all shortcuts have been added.
I got frustrated with existing screenshot services choking on cookie banners, rendering half-loaded pages, and serving bloated images. So my co-founder and I built one that auto-dismisses cookie consent dialogs using Playwright heuristics, serves AVIF-first from Cloudflare R2, and supports geo-distributed rendering so you can capture pages as they'd appear from different regions.
Spring Boot + React + PostgreSQL. Bootstrapped after selling a previous ecommerce SaaS.
Currently documenting the whole build in a 30-day series on the blog if anyone's into that sort of thing.
The idea is to give people the power of HA without needing to maintain it themselves. Most HA enthusiasts are happy to do this for their homes, but don't want to manage HA for parents, friends, etc.
We pre-install a smart hub (miniPC) for each subscriber and we maintain management access on the host via WireGuard, but all traffic is closed by default - remote support requires your approval. You stay admin of your own instance. The host pulls config updates from our public repo (https://gitlab.com/selorahomes/products/selorabox-nix/), and we handle monitoring, troubleshooting, and (soon) automatic updates with health-aware rollbacks.
We're also working on an AI agent that helps maintain configs and suggests automations.
We're an open core company backed by Open Core Ventures. Source code is on GitLab, roadmap is public: https://selorahomes.com/docs/roadmap/
Currently recruiting beta testers in California (Bay Area and SoCal) if you know anyone interested in testing our product!
We ship you a pre-installed miniPC, our installers handle any physical setup required, and we configure remotely so your devices are set up, along with automations, and a dashboard.
You give us honest feedback. If you're interested, book a call with us: https://selorahomes.cal.com/selorahomes/beta-tester-intro
We also have a free version: https://selorahomes.com/pricing
Check out our docs if want to explore by yourself: https://selorahomes.com/docs/
The market is distributed across a bunch of 3rd-party marketplaces, and there's no 'simple' API that provides genuinely high-quality data. It's been a super fun project, and I've been able to learn about collecting & managing a high (to me) scale of data, building an API from the ground-up, and creating my first 'commercial' website.
Website is @ https://cs2.sh/
The API is built w/ Go & Clickhouse, which I've been super impressed with so far.
Web design is partially inspired by turbopuffer's site.
RClone is doing the heavy lifting (amazing project). I'm wrapping it with the operational features clients have asked me for over the years:
- Team workspaces with role-based access control
- Notifications – alerts on transfer failure or resource changes via Slack, Teams, Discord, etc.
- Centralized log storage
- Vault integrations – connect 1Password, Doppler, or Infisical for zero-knowledge credential handling
- 10 Gbps connected infrastructure (Pro tier) for large transfersPosturr is a macOS app that blurs your screen when you slouch. I’ve always had bad posture at my desk, so I wanted to figure out a way to check myself. This idea is not radically new, but the methods by which Posturr reminds, e.g. blurring screen, colored border, is unique and effective.
Recently released to the App Store at: https://apps.apple.com/us/app/posturr-posture-monitor/id6758...
I originally started this years ago and abandoned it because puzzle generation was hard and I didn't have the proper time to finish it. Picked it back up recently with Claude Code and finally cracked it, the generator uses backward construction (starts solved, reverses moves) so every puzzle is guaranteed solvable.
3 daily puzzles (Easy/Medium/Hard), shareable results like Wordle, no account needed.
- rating of all supplements
- track experiments you're running on yourself
- knowledge database of all supplements and peptides (side effects, benefits, etc)
- way to find the cheapest blood tests by comparing different companies
https://transferbridgeus.com -- a service that helps international students studying in the US to transfer colleges. Its free and we handle everything
Traditional therapy assumes you can identify what you’re feeling, which is exactly what many autistic people struggle with. Anna, the emotional regulation coach, addresses this dilemma.
I’ve used her daily for nearly a year and haven’t had a major dysregulation event since. Now I’m working on developing Anna further. The following post includes a detailed framework for building your own.
https://bettersoftware.uk/2026/01/24/how-to-build-ai-regulat...
* Integrating website liveness data into the crawler to make more informed decisions about whether to keep or wipe data from a website if it can't be reached while crawling
* Working out why the liveness data gathering process isn't stopping as scheduled.
* Deploying a voluntary max-charge request header for the commercial API
* Making website URL elements searchable. They should be already, but are not for some reason.
* Maybe looking into an intermittent stacktrace I get on one of the index partitions.
No blockers.
Forge is an orchestration layer that sits between AI coding tools and your codebase. It's a single Rust binary (~3 MB, zero runtime deps) that runs as an MCP server over stdio. Any MCP-compatible AI tool can call it.
MIT licensed. Whitepaper with the full architecture: https://nxtg.ai/insights/forge-whitepaper
I'm currently rewriting the UI in Rust - previously it had a Rust backend and a JS frontend using Tauri, but I ran into bandwidth limitations which prevented it from being really usable as a video editor. It's currently in early alpha.
It’s a daily word puzzle inspired by board games like Patchwork and My City.
You rotate and rearrange tiles to find clues and rebuild a broken crossword.
Right now I’ve got about 3,000 daily players and have had a few acquisition offers.
It’s been a ton of fun to build! My wife and I build the puzzles together every day. There are over 110 puzzles now so there’s a big backlog if you enjoy it.
I’m working on user accounts, hosting user puzzles, bug fixes and better puzzle building tools!
I’m happy to answer any questions
The biggest problem is internal knowledge and external knowledge systems are completely different. One reason internal knowledge is different it is very specific business context and/or it's value prop for the business that allows charging clients for access.
To bridge this gap, the best approach is to train agents to your use case. Agents need to be students -> interns -> supervised -> independent before they can be useeful for your business.
https://github.com/rush86999/atom . it's still in alpha.
I'm building Ditto — it clones websites with 100% visual accuracy and outputs a proper React app with named components and preserved structure.
The problem: you find a design you love, want to use it as a starting point, and your options are either manually recreating it or using a tool that spits out a tangled mess of divs and inline styles. CatchDitto gives you an actual codebase — clean component hierarchy, sensible naming, structure you can extend without wanting to rewrite everything first.
I'm still iterating, would love to hear what others think.
I got tired of uploading my data to ChatGPT, having a useful conversation, then realizing a week later I need to re-upload again, because data changed. Built ctxsync to fix it:
• Connect GitHub repos, documentation sites, files
• Sync on demand or schedule – your AI's knowledge stays current
• Data isolation: each chat runs in separate containers, no cross-contamination
Uses your own LLM API keys (OpenAI, Anthropic, Kimi-Code).
Tech stack: Elixir, Phoenix, Ash, Oban
It's a bit like Reddit but focused on learning. (Doom learning instead of doom scrolling)
You 1) upload a source 2) direct the kind of questions you want to be asked 3) start answering (and if you get the answers wrong, you can discuss the problem with "AI").
You can read other people's sources, questions, answers and their discussions with AI too.
And if you're learning the same thing as other people, you can join communities to share sources/questions.
It's still very early on, so I'm very interested in any feedback.
I'm building Hot Dev, a backend workflow platform.
- Hot: a functional, expression-based language w/ types for easy integrations and built-in parallel constructs
- Event Handlers drive execution `on-event: "user:created"`
- Scheduled Events `schedule: "every hour"`
- MCP: Turn any Hot function into an MCP Tool
- API: Real-time access to running tasks; subscribe to workflow Streams with SSE updates
- Observability: System-level dashboard; Call-level tracing; Alerts to email, Slack, PagerDuty, or webhook
- Develop locally, push to production with `hot deploy`
- Coming Soon: Hot Box - run any OCI container as a Hot function
https://app.synthforge.io to login (FREE!) or https://synthforge.io to learn more
You setup a few buckets then drop in your current balance. It immediately shows you what’s left. It’s local-first (just localStorage), no bank login, no account linking, and no transaction import rabbit hole. The goal is clarity in under a minute, not another finance app that demands setup overhead.
I built Balance Buckets because most small business bank accounts don't have a buckets or envelope saving feature. I wanted a dead-simple tool that helps me see where my money is. Define buckets (fixed dollars or percents), track what’s funded vs underfunded.
working with a few enterprise teams on their agent pipelines.
I will definitely consider adding timelines to future software I make, it's an awesome feature.
Some technical highlights:
- Graph-based signal flow: Products become nodes, connections are edges inferred from port compatibility (digital, analog, phono, speaker-level domains)
- Port profile system: Standardized port definitions (direction, domain, connector, channel mode) enable automatic connection inference
- Rule engine: Pluggable rules check completeness, power matching, phono stage requirements, DAC needs, and more
It's getting close. I'll do a show HN on it sometime soon.
There have been lots of cool technical challenges through the whole process of building this, and a very nice variety of different kinds of work.
I'm working towards using the outputs from this language to build out levels and assets for a browser-based game I've been dabbling with over the past few years.
And now I’m thinking about ways to make it even better
It’s rad already though. I’m super proud of it
I used this as a real end-to-end project to sharpen my backend skills in Go (API design, data modeling, deployment), while also experimenting with AI-assisted development. It’s live, and I’ve already made a few organic connections through it.
Open-source RAG infrastructure.Every team I talk to has the same experience: RAG works in the demo, breaks in production.
We handle ingestion through retrieval with optimizations baked in. 97.9% on HotpotQA vs 88.8% for standard RAG. Model-agnostic, 22+ file types, built-in citations, MCP server. MIT licensed.
An open-source multi-cloud governance framework powered by a YAML rule engine. We just reached a milestone by adding Database (DB) support.
The goal is to allow developers to audit configuration and compliance directly within DB instances, alongside standard cloud resources (AWS, GCP, Azure, K8s). We’re focusing on keeping the YAML rules as agnostic as possible so the same logic can apply across different environments without rewriting everything. rtk (https://github.com/rtk-ai/rtk)
This is a "scratching my own itch" project born from using Claude-code. While vibe coding, I got frustrated watching the agent spam ls -al or cat repeatedly just to "orient" itself.
It creates two main issues:
The Token Tax: It burns through tokens for info the agent already has.
Context Pollution: The context window fills up with redundant noise.
Started with it because I was struggling with finding relevant conversations about my first app where people are exactly asking for what I'm selling, only that I was missing those conversations and people. Build a POC, tested for myself and started getting good leads, so I converted it into my second app.
I just signed a Memorandum of Understanding with NLnet (NGI0 Commons Fund) for a second year of funding to build out the Renderling ecosystem. The big shift this year: moving away from Rust-GPU and going all-in on WGSL.
I'm building wgsl-rs, a proc macro crate that lets you write WGSL shaders in a subset of Rust — same code runs on the CPU for testing and on the GPU via generated WGSL. Works on stable Rust, no custom toolchains needed.
The funded roadmap also includes podecs, a GPU-accelerated ECS where systems run as compute shaders, a Rend3-compatible API layer (for folks looking for a path forward from Rend3), and ultimately real-time global illumination via a GPU ray tracer.
More details in the latest news update: https://renderling.xyz/news/index.html#wed-11-feb-2026
Repos:
Game idea: DroneCraft is a third-person drone exploration game where players scout the world for parts, craft powerful upgrades, and trade strategically to evolve their build.
Whats coming: Core mechanics are up and running. First playable version planned within a month, alongside open-sourcing the full codebase.
Started working on a site to document anti patterns in online discourse. Not quite logical fallacies but more so unproductive expressions that aren’t conducive to pleasant, productive, and focused discussion. The site is a bit rough right now and a work in progress.
I want the internet to be a better place for discourse and I think a reference or guide on anti patterns in replies could help make a dent in the right direction.
It's a creative project in which I add a new room to a mega-dungeon over the course of a year, resulting in 12 levels and approximately 30 rooms per level at the end. All the tiles are created by me using my own tools. It's a lot of fun and something I can do every day that I feel like I can enjoy for a year.
It's focused on OSR/Shadowrun. It's also taught me a lot about dungeon design and creation.
A platform to efficiently work with any data right in the browser. Like interactively visualizing millions or rows, and at the same time augmenting the data with domain-specific capabilities. For instance, the cheminformatics plugin automatically recognizes molecules and provides proper rendering, substructure search etc. Sort of a Swiss Army knife for scientific data.
Not really a new idea, been working on it for many years already :)
NuGet.org doesn't distinguish between a hobby project and a professionally maintained library with real support. pkgstore is a curated directory and marketplace where publishers can sell NuGet packages directly, with full dotnet push/restore support, Stripe payments, and automated access control.
In open beta now, onboarding publishers. Would love feedback.
https://github.com/jgbrwn/vibebin
It automates installing and managing Incus, Caddy, and SSHPiper, provides a TUI for container lifecycle and quick actions, a web admin (built/compiled on the container) for toggling and updating AI coding tools (Shelley, Claude Code, OpenCode, etc.), and a background sync daemon that keeps Caddy routes and container metadata in sync.
Each container exposes coding tool web UIs on isolated ports and supports direct SSH/VS Code Remote access, so you can run multiple independent coding agents against real project files without exposing your local machine.
The project emphasizes simplicity and recoverability for running agents locally: containers are persistent, optionally routed via reverse proxy with basic auth, and tracked in an SQLite DB so setups auto-heal after restarts. It’s written in Go, includes an install script for one-line deployment, targets modest VPS specs (4–8GB RAM recommended), and bundles helpers for DNS and provider automation.
Ideal if you want a lightweight, opinionated way to host multiple isolated AI dev environments on your own server instead of relying on hosted agent platforms.
For this one I focused on loading speed and reducing interaction with repo. So it processes the images (converting to webp) and loads the feed list from a Gist. Also used the "frontend-design" skill. From brief to ready-to-use took about a couple hours.
Pre-codex:
Local card game: there's a very specific card game played in my country, there's online game rooms, but I want to get something like lichess.org or chess.com scale, oriented towards competitive play, with ELO (instead of social aspects), ideally I would get thousands of users and use it as a portfolio piece while making it open source.
cafetren.com.ar: Screen product for coffee shops near train stations with real time train data.
Post-codex:
SilverLetterai.com: Retook a project for an autonomous sales LLM assistant, building a semi-fake store to showcase the product (I can fulfill orders if they come by dropshipping), but I also have a friend and family order which I should do after this. 2 or 3 years late to the party, but there's probably a lot of work in this space for years to come.
Retook Chess Engine development, got unstuck by letting the agent do the boring busywork, I wish I would have done it without, but I don't have the greatest work ethic, hopefully one day I will manually code it.
Finally, like everyone else, I'm not quite 100% content with the coding agents, so I'm trying to build my own. Yet another coding agent thingy. But tbf this is more for myself than as a product. If it gets released it's as-is do what you want with it.
We’re aiming to build the best typing application; personalized to every users typing habits.
Typing is one of the most important hard skills today and yet most education systems skip it.
Most of our customers are adults who always wanted to type but can’t find the time. We make it faster to learn and improve by focusing around the user’s weak points (with our features like SmartPractice and TargetPractice)
Klondike solitaire game using Godot. The goal is to better understand Godot's inner workings, and not using any LLMs... outside of whatever Google searches automatically popup when I have questions.
Secondarily, decompiling the DuckTails Gameboy ROM with PHP... then seeing about using PHP to create a GameBoy game. For no reason than to see if it can be done.
Current release candidate supports detecting Teams Meeting and Slack Huddle.
I’ve been diving into a Liquid Labor framework (liquid-labor.com), it’s a departure from traditional labor economics. It moves us away from measuring GDP via human headcounts and toward a National Autonomous Work Index (NAWI) treating machine hours as liquid labor with perfect elasticity of labor.
In this model, robotics isn’t just an efficiency gain; it’s the conversion of energy into a liquid labor reserve that can be deployed with perfect elasticity either as a policy or as a business model Robots as a Service(RaaS.)
I believe the industries of nations that successfully build a reserve of autonomous hours will survive a Great Stagnation. Those who rely on shrinking human labor pools will face a terminal liquidity crisis.
I believe this will lead to greater centralization as no single nation or business will be able to sustain the amount of depreciation ensued. Any honest feedback or thoughts more than welcome. https://www.liquid-labor.com/
- Tool.io (https://tool.io), a digital tool library, think Wikipedia but for tools. Still rewriting it, publishing to Github soon.
- LayerGolem (https://layergolem.com), an OpenClaw like agent for business.
- animania.info (https://animania.info), this one got content actually. Some ~50 hand written MIT licensed CSS animations by me that I created for fun, in the pre-LLM era.
- I am also in the midts of creating a "learn programming from scratch Youtube channel".
- ROE.md (https://github.com/guld/ROE.md), raise your own personal AI assistant like a vibe pro from a single Markdown file.
Happy building everyone!
I've been working on an internal linking tool that actually understands your content, instead of just matching keywords.
The problem: Manual internal linking research doesn't scale. You grep for keywords, miss semantic relationships, and end up with orphan pages that never rank.
The approach:
- Crawl → Extract → Vectorize → Cluster → Score
- Build a link graph showing actual internal link structure
- Use semantic similarity to find content relationships
- Prioritize by: relevance × page authority × orphan status × implementation effort
- Output exact placement with anchor text suggestions
- Keyword matching finds ~60% of good opportunities; semantic analysis catches the rest
- Most sites have 20-30% true orphans (no inbound links)
- Anchor text optimization is the #1 thing people get wrong
You'll get the full internal linking report (complete analysis, not a limited demo) in exchange for feedback.
Comment below or email me, if you want in.
I've been working on this project, which lets you create interactive Valentine’s Day invitations for your special someone. You can pick from a set of templates, add your own message or photo, and share it easily.
Currently, adding CMS feature so that user can edit their info right in the website and get the link instead of them hosting themself or editing the code.
https://github.com/voicetestdev/voicetest
- test harness for voice agents. - multi platform formats (Retell, VAPI, Bland, LiveKit) compile down to a unified AgentGraph IR - import from one platform, test locally, export to another - use litellm, DSPY to config models, if on a subscription use claudecode as a runner to avoid API call charges - metric judges produce continuous 0-1 scores instead of binary pass/fail since a 0.65 and a 0.35 both fail a 0.7 threshold but represent very different agent behaviors. - persist to DuckDB for querying across test history - adding auto-healing graph mutations where failed tests propose structural + prompt changes to the agent graph and validate against a regression suite
Wrote up the architecture here https://peet.ldee.org/general/2026/02/03/testing-voice-ai-ag...
We made it possible to run the model in webGPU and it is pretty fast even in that environment. You can see the porting process in my last few submissions, because we livestreamed Claude Code porting the base model from the original C++ and Python.
In a separate initiative, we produced a new hash function with AI - however, although it is novel, it might not be novel enough for publication and it's unclear whether we can publish it. It has several innovations compared to other hash formats.
We are running some other developments and experiments, but don't want to promise more than we can deliver in a working state, so for more information you just have to keep checking stateofutopia.com (or stofut.com for short).
Our biggest challenge at the moment is managing Claude's use of context and versions, while working on live production installs.
Everything takes time and attention and Claude Code is far from being fully autonomous building new productive services on a server - it's not even close to being able to do that autonomously. We feel that we have to be in the loop for everything.
[1] eventual goal: technocratic utopia, will be available at stateofutopia.com
I hope open sourcing it could be a way for me to get some mentorship from more experienced devs as well. Unfortunately, my work doesn't really do code reviews so I feel like I am not improving much on that front.
My previous games have all been exclusively in English, but this one also has Spanish, French, German, Dutch and Swedish. It's a take on the classic word ladder game, with golf scoring mechanics.
Still needs a bit of fine-tuning for the word lists and puzzle generation, but I think it's already pretty playable. :)
Major updates over the last 6 weeks: Built a cross-platform CLI for running your own inference node. Handles auth, model management, and serving through a single command.
Shipped an OpenAI-compatible API with streaming and tool calling. Added web search to the chat interface.
Rewrote the job queue to guarantee FIFO ordering per model+context and fixed a race condition causing out-of-order assignments. Added circuit breakers for connection stability.
Wrapping up alpha testing in the next couple weeks, then inviting people from the email list into beta: https://sporeintel.com
Most stacks today keep orchestration in Python/TS and treat the model like an API. VVM inverts this. You write a `.vvm` program, paste it into an agentic session with the spec, and the model simulates the VM and executes your program. This is configured via a plugin, no SDK or build step required.
```
agent researcher(model="sonnet", skills=["web-search"])
agent writer(model="opus")
papers = @researcher `Find recent papers on {topic}.`(topic)
# semantic predicate — semantic if condition
if ?`sufficient coverage`(papers):
report = @writer `Synthesize findings.`(papers)
papers = @researcher `Expand search.`(papers)
```
It's open source and current runs as a Claude code plugin and the repo includes 37 examples from basic agent calls to advanced patterns that showcase building resilient workflows.
Still pre-alpha -- the spec is fairly complete, but tooling is early. Mainly looking for feedback from people building agentic systems who've felt the impedance mismatch between imperative code and what agents actually need.
1. Plimsoll Line for dealing with anxieties from mountains of Reminder items, by surfacing the stress factors and taking small actions such as quick journalling and a breathing exercise. The new version with Widget should be released within the next week or two. Version 1 is currently in the iOS App Store. (https://apps.apple.com/us/app/calm-to-do-list-tasks-plimsoll... Calm To Do List&Tasks-Plimsoll). Made it to help my wife (and me!) not get so overwhelmed with things she has yet to do but hasn't started. Also to make it easy to write down things weighing heavy on her mind to alleviate the vicious cycle of emotional decay.
2. Yet-unnamed and -unreleased weather app for planning outdoor activities at times of the day when the weather will be most favorable (or least bad). Made it so that I can plan when to go out to the back yard to bring in more fire wood for the stove in my house. The weather has been tough this winter in the Northeastern US so it finally made me work on the app.
It’s a basically a full Heroku replacement, with a UI, CLI, etc, except running with a Kubernetes backend.
It’s fully open source. It was super annoying how delightful Heroku was, but how annoyingly locked-in and expensive it is.
I’ve been lucky to get a sponsorship from the Portainer folks so I can work on this full time!
I work in AWS security, and it’s wild how many companies run production workloads with no continuous monitoring, no config drift detection, nothing. Not because the tools aren’t there, but because leadership doesn’t want a dashboard full of red. A clean report means you’re secure, right? No report means you might be secure. For a lot of people, that ambiguity feels safer than a concrete list of issues with remediation attached.
That’s the real issue here. It’s not just about CALEA or backdoors. It’s that our approach to critical infrastructure security often boils down to “don’t ask, don’t tell.” Mandiant did an assessment. The findings exist. And two of the largest telecom providers in the country would rather fight Congress than let those findings see daylight. That says a lot about the state of those networks.
Couple of utilities for using claude code in my zsh. #? <describe command> => generates the command for you #?? <command> => explains the command for you
Packaged as an oh-my-zsh plugin so it's easy to use.
Over the last 10 years I've been automating kubernetes cloud environments and no matter what company I end up working at, eventually they all want the same. Easy deployments and -not- having a degree in Kubernetes knowledge to run their apps.
In addition there's a growing amount of people/companies wanting to move away from US-owned cloud providers (the big three), so I figured, I'll combine everything. Easy to create deployments on whatever cloud with a focus on being able to migrate from one provider to the other.
The more I'm working on it, the more ideas I keep getting and wanting to add to the platform. I would really appreciate feedback from anyone no matter how big or small the criticism!
https://codeberg.org/konform-browser
This week added a simple onboarding screen - I don't think a single default config can ever be ideal for even most situations. Intranet admin web UIs and browsing the tubes call for very different default configuration so it makes sense to have more than one and making switching easy.
Konform Browser is free software developed and maintained by 100% organic free-range humans and does not seek revenue. There's no business model beyond this hopefully turning into a neat line on the resume or a lead for gigs down the line. Considering the project "GA" and actively supporting public users as of last month. Contributions are most welcome.
Currently only shipping for Linux and hoping to do Android one day. We do package binaries (transparently in codeberg ci) and provide repos but for those who prefer, building from source is supported and something I hope to make more accessible for those who want to bring their own patches.
Happy to reply to questions and feedback!
UK only for now, and very much a “solves my problem” side project, but easily scalable to other countries of the need is there!
It gives you clean text summaries of YouTube videos. There are obviously other tools that do this, but I wanted something that is aligned with actual principles of learning and retention, not just quick TLDRs.
Also added a feature called Related Videos. It extracts the key themes from a video and recommends the top 3 related videos, essentially creating a small “knowledge web” of sorts around the topic. Similar to youtube recommendations, but you don't watch you click and read.
You can do YouTube search directly inside the product. When you click a video, it generates a summary. So you’re still browsing YouTube, but click turns a video into something you can actually consume. Personally found it better way to consume youtube, quicker for me to get through the content I want to consume than have those 10+ Youtube tabs sitting in my browser forever.
There’s also a public library feature I added where you can make your summary public. It’s kind of fun to see what other people are learning.
Still early, but iterating on it, scratching my own itch.
it comes with a suite of tools (multi-agent tools to do search over many docs, RAG out of the box, prompt generation per section to reduce context drift, granular AI steerability, structured block generations for 100+ page reports ect.)
So I'm redesigning them, with focus on clarity, trust, and that "I want to use this" feeling.
3 so far Veriad AI - https://x.com/karinaperetei/status/2022616581625237827?s=20 Voygr - https://x.com/karinaperetei/status/2022255610117447893?s=20 Martini - https://x.com/karinaperetei/status/2022015136253587755?s=20
At work I sometimes download the same file multiple times to my machine and have to go through my downloads folder and manually remove the duplicates, so this is something I built to speed up the process of doing this.
https://github.com/jconvery1/hydra
I've found it quite useful.
https://github.com/jbonatakis/blackbird
At a high level it's my take on how the execution aspect of spec-driven development should be handled. Where as most tools that are popular right now break a spec down into a task list and instruct your agent to work through it in a single session, I am treating agents as stateless. By this I mean a separate (headless) session is started with selected context for each task. This avoids context exhaustion, compaction (and the resulting confusion that can occur), and means that Blackbird can work through effectively an arbitrarily large task list.
Right now it's BYO-spec, but then it:
* breaks the spec down into a dependent-aware plan (DAG) composed of parent and child tasks
* executes tasks one at a time based on their status (ready to execute if all dependencies are marked as completed)
* allows you to (optionally) pause execution after each task to review, approve and continue, approve and quit, or reject the changes altogether
* (soon) treats parent tasks as an automated reviewer for all child tasks and optionally auto-resume those sessions to address the feedback
* and more
It's entirely bootstrapped, and so far I'm quite pleased with it. I also wrote a post[1] today about some of the concepts I had in mind as I was defining the architecture.
I use it for all my personal projects. Any new project where I will have todo lists, I'll run `kan init` and `kan serve`, and begin tracking tasks. Because it's a CLI, you can interact with the board thru the CLI with commands like `kan add` and `kan edit`, so I've even included a SKILL markdown file in the repo which I use to let Claude read and interact with my boards. You can also navigate all your boards from a single `kan serve`, so it's convenient and snappy cross-project too.
It's focused on structural analysis right now, but the goal is to allow for biologists, crystallographers, chemists, etc to quickly analyze large samples of structural data for patterns and find where those patterns break down.
Our goal is to make it a platform to analyze the output of various papers, tools, and structures to build a single unified biological model of your druggable target. For example, what if your alphafold output disagrees with pre-existing literature? If Diffdock says your candidate can bind to a pocket on a protein that hasn't been validated yet, what's the implications of that on the underlying biological mechanism?
Biology is extremely complicated, so scientists create simplified lenses of the world to make sense of things. Biologists are looking at different things than crystallographers, crystallographers are looking at different things than computational chemists, etc, etc.
Finding disagreements in these simplified lenses early can save a lot of money before things move to lab experiments.
I've been using AI coding agents for more and more tasks, but didnt have the right tool to orchestrate. I'd kick off a task, then sit there waiting for the agent to finish before I could start the next one or had multiple terminals open was constantly checking which agents are busy and which are idle. Running multiple agents against the same repo also isn't optimal, and manually creating git worktrees added a lot of friction to my workflows.
Thats why I built CodeHydra. Just it at one or multiple local or remote git repos and it creates lightweight workspaces using git worktrees. Each workspace gets its own embedded VS Code and AI agent. You see all your workspaces in a sidebar with real-time status indicators showing which agents are idle or busy. I typically run 1-3 projects with up to 6 workspaces in parallel — review one agent's workwhile others keep going. I also put some effort into good keyboard navigation. So creating, deleting or switching workspaces is very easy by keyboard.
And to really automate our whole workflow, agents can control CodeHydra itself via an MCP server. An agent can close its workspace when it's done, spin up new workspaces for sub-tasks (with an initial prompt), or automate VS Code — like opening a browser preview tab or specific files.
Built with Electron + Svelte 5 + TypeScript. Supports Claude Code and OpenCode as agents. MIT licensed, works on Linux/macOS/Windows.
Try it with `npx codehydra` or `uvx codehydra`. I appreciate any feedback!
Features
- 4-channel DUT interface with individual power control via TPS22992
- JTAG multiplexer for programming (not exclusive to JTAG)
- Power monitoring using PAC1954 for per-channel current/voltage measurement
- Raspberry Pi Pico for control logic and automation
- USB interface through Pi Pico USB-CDC for host communication (1 port for each DUT)
- 1.8V - 5V IO support
- MicroPython support for test script automation
Normally, split keyboards use two microcontrollers and batteries (one for each half), but this design uses a single microcontroller and a GPIO expander to bridge the two halves together via a magnetic 4-pin connector. It also features a reversible PCB to further keep the overall costs low.
Just finished bringing up the PCBs and putting the ZMK firmware together. Still designing the case for it, but all the files are open-source and on GitHub!
Patterns I keep seeing: - Everything looks like the same beige SaaS dashboard: rounded cards, random gradient, Tailwind presets copy‑pasted until entropy. - Zero hierarchy. Every section screams at the same volume. Nothing feels like it has a “job” on the page. - Design systems are imaginary. You get a Frankenmix of Apple, Material, shadcn, and Dribbble shots in one component tree. - Micro‑interactions are overdone or completely off: bouncy, noisy, and unrelated to what the user is actually trying to do. - When you try to “refine” the design, the model tends to bulldoze the good parts instead of making small, surgical tweaks.
Built out http://automotion.dev to solve this, it turns screenshots into UI animations instantly. Been a game-changer for me and I'm my own user.
Fireflies Meadow isn’t ready for prime time yet, but we’re proud of the progress so far and actively iterating on it.
If you’re interested in the engine, the game, or just want to follow along, feel free to reach out on our Discord: https://discord.com/invite/mHsQayQNdp
I’d be curious to hear your feedback on whether the game is working for you or not.
I want to create a tool that would automatically block the stealers from stealing your previous credentials or crypto wallets. I had this idea after the Shai-Hulud attack
It's an experimental side project, but so far it looks very promising.
It started as a computational experiment, but it’s been interesting how naturally it lines up with ideas from QM (aggregation vs collapse), relativity (proper time), and distributed systems (event-driven causality). Still very much a work in progress, but already useful as a way to think clearly about time, causality, and scheduling in real systems.
- Concept>> https://github.com/VoxleOne/FunctionalUniverse/blob/main/doc...
- Code >> https://github.com/VoxleOne/FunctionalUniverse/tree/dev
Pasture takes each signup, enriches it (title, company size, funding, tech stack, and more), and scores it 0-100 against your ICP. Alerts go to Slack with full context. You can also track which channels bring quality vs. junk over time, which has been the most useful part so far.
The problem: agents like OpenClaw can read your email and post to Slack. Nothing stops Email A's content from leaking to the wrong recipient, or PII from ending up in a Slack message. Current "security" is prompts saying "please don't leak data."
The fix: fine-grained data access (object-capabilities) + deterministic policy (information flow control). If an agent reads sensitive data, it structurally can't send it to an unauthorized sink. Policy as code, not suggestions.
Got a working IFC proof-of-concept last week. Now building a secure personal agent to dogfood it.
What integrations would you want if privacy/security wasn't a blocker? What's the agent use case you wish you could trust?
Simultaneously, working on some technical demonstration materials, including novel fabrication and supply chain, plus some reduced BOM strategies for greater efficiency in mass manufacturing (once we get cash over the line). Bit of electronics in there, some mechanical. Keeps me interested so it's not 100% admin.
Also getting back in to badminton, super fun, losing weight nicely, feeling better every week.
New ideas? AI government will have its day in our lifetime.
https://github.com/royalicing/qip
We have LLMs that generate code but that code should be untrusted: perhaps it overflows or tries to read ssh keys. If we aren’t reviewing code closely a major security hole could be on any line.
And since LLMs can generate in whatever language, it makes sense for them to write fast imperative code like C or Zig. We don’t have to pick our favorite scripting language for the ergonomics any more.
So qip tries to solve both problems by running .wasm modules in a sandbox. You can pipe from other cli tools and you can chain multiple modules together. It has conventions for text, raw bytes, and image shaders, with more to come.
I am excited by the capabilities of probabilistic coding agents, but I want to combine them deterministic code and that what these qip modules are. They are pure functions with imperative guts.
One of the projects that features in these notes is the attempt to build a programming language using AI. https://github.com/xvandervort/graphoid
Since I left my last job, I do a lot of writing. I also have a couple substacks. One is a humorous weekly look at science and tech (https://technoscreed.substack.com/ ) and the other is a monthly exploration of history (https://historyroad.substack.com/)
This was a fun little project I did over the Christmas holidays but only finished off recently. Basically I precalculated the public transport time between the most populated towns in Switzerland to every ski field (about 350 of them!) and then built a little web app around it using Django.
You can choose to prioritise shortest (lowest time overall) versus fairest (smallest variance in group members).
Totally free to use. Next steps are to integrate it with live snow conditions/open lifts...
Claude did help a lot with the FE part. The biggest part was actually finding the best public transport stop for each ski field - that was a very manual process trawling through skimap.org images and Anreise info on ski resort websites.
Right now, I'm working on the OpenClaw-like feature. So, you can learn Japanese via Telegram. Keep track your progress. Practice conversation with your AI assistant. Etc.
The platform itself is built on elysiajs/bun and tanstack and is completely hosted in EU and the payment processor is a EU based entity and we have an ISV partnership.
https://github.com/vishnugt/TCPFinMonitor. Live - https://keepalive.gt.ms/
This tool tracks TCP FIN packet timing to see how upstream connections are closing and how keep-alives behave. It helped me spot when connections were closing too early or timing out, which was causing those 503 errors.
https://github.com/vishnugt/hyperbin
A fast, minimal httpbin clone written in Rust. It’s way faster(20x throughput) than the usual httpbin and useful for testing HTTP clients and debugging requests without extra noise.
These aren’t polished, just some stuff I needed to iron out the issue.
The insight: most solo founders need basic "alert me when this changes" monitoring, but existing tools force you through signup flows, credit cards, dashboards you'll never use. So I made it dead simple:
curl "https://watch.arkforge.fr/api/check?url=https://your-site.com&email=you@email.com"
I built this because I kept forgetting to monitor my own stuff. Now it's live and I'm trying to get my first 5 beta testers. The challenge is marketing - I'm a developer, not a growth hacker. Learning as I go!
What's been your biggest challenge with your current project?
Uses your local Claude Code as the agent and GitHub as its UI, things you already have. Open source, MIT License.
You move cards across kanban columns (Backlog -> Research -> Plan -> Implement) and Kiln runs Claude locally, opens PRs, and keeps everything tracked in GitHub.
The result is https://xllify.com
It embeds Luau which tames the very old school C SDK. This means that the same code can run as native add-ins on Windows (XLL) and the more modern-but-far-slower web engine, thanks to WASM. Luau is safe and fast.
The exact same bytecode runs in both styles of add-in. You get the performance of native with no extra work. Many approaches for writing custom functions are unacceptably slow, particularly when their inputs come from fast moving realtime data feeds.
I know Luau is perhaps a left-field choice. However, coupled with a coding assistant and bringing that lightweight conversational dev experience right into Excel (xllify Assistant is an add-in itself) this is perhaps less of a barrier.
The watches are chronically underpowered (great for battery life) and need a phone for internet anyway (inbuilt Sat/LTE is not available to devs) - so I've offloaded most of the heavy work to an Android (for now) companion app.
The key features:
- Use the phone mic (headphones or built-in) to dictate to the watch (on-board transcription) - the built-in keyboards are tough to use
- Reply to android notifications with voice (ie. WhatsApp/SMS)
- No extra costs for AI - you have a flagship mobile - all AI inference is on-device
- No internet access for watch or phone app - privacy first, local.
The apps:
- [Untether Comms](https://apps.garmin.com/apps/ac3c70e8-d631-49b9-a6f3-4335dc9...) - Reply to notifications with voice
- [Untether Notes](https://apps.garmin.com/apps/3984f15b-0924-428a-895e-c4c97a2...) - Voice notes automatically transcribed onto the watch
- Untether AI (coming soon) - Chat with Gemini Nano (or others) about your health metrics or anything without your phone
- [Companion Android App](https://play.google.com/store/apps/details?id=watch.untether...)
It is very much still in Beta and might be pretty unstable!
I've been using Claude Code to spin up apps quickly, and I kept needing the same infrastructure every time - user auth, permissions, usage tracking, job queues. So I pulled it all into one SQL package that lives in Postgres. Now when I start a new app I just tell Claude to use Postkit and all that stuff is already there, no external services to set up. I can focus on the actual product and iterate fast.
It was also a good excuse to actually use stuff I'd studied for system design interviews - Zanzibar-style ReBAC for permissions, a double-entry ledger for usage metering, transactional job queues with SKIP LOCKED. ~15k lines of SQL across five modules, with a Python SDK. The SQL works from any language though.
A document RAG API based on multimodal embeddings that's intended for data extraction. If your document workflow involves search and you're looking for ways to cut down on VLM (OCR) costs, Ragextract provides a simpler alternative (less bells & whistles) which makes sense for startups, SMEs and freelancers.
As someone who works on AI document workflows, I use Ragextract myself to reliably execute for various clients in finance, insurance and proptech. I'm currently working on marketing/messaging for the service and could do with more feedback and use-cases.
Have a new or existing project which could use something like Ragextract? Email me and if there's a fit happy to provide a demo or free subscription.
Learn more here: https://subworkflow.ai/blog/ragextract/introducing-ragextrac...
We're backend engineers, so we used AI to build the frontend while focused on the backend logic. It's been a wild ride trying to make AI-generated UI responsive, but it allowed us to ship.
We realized that our registration was (still is) a friction. We moved from a forced sign-up model to a no registration required flow to get people to their travel links (Booking.com/Expedia) faster.
You can now withdraw via bank account or crypto wallet. Looking for feedback on the UX as we move to add the retail soon -_-
An all-in-one operations workspace that starts with forms but doesn’t stop there.
teams (especially HR and ops in small/medium companies) need to launch and operate fast, but the moment data comes in, everything falls apart into spreadsheets, emails, and half-used tools. the real work starts after collecting data.
What we’re building:
Form & workflow engine, and backoffice layer on top of submissions: tasks, assignments, reminders, budgets, client/contact directories, inventories, meetings, internal knowledge base.
Operational add-ons: quizzes & assessments, certificate generation, invoicing, document repository, reusable email templates, Anomalies module.
It’s less “Typeform competitor” and more “what happens after the form”, for HR teams, marketing teams, and SMEs that want one calm, predictable system instead of a tool stack.
(we’re Morocco/EU-oriented).
Still super early (one month), shipping steadily.
You can filter by use case (EDC favorites, budget-friendly, high edge retention, etc.) and get a quick read on tradeoffs between steels like S35VN, MagnaCut, M390, and others.
Built it because I kept seeing the same "which steel is best" debates in knife forums with no good way to actually compare data side by side. Site: https://new.knife.day/blog/knife-steel-comparisons/all https://new.knife.day/steels
It is based on FFmpeg WASM. Working with the multithreaded build was challenging and buggy but eventually by controlling how many threads are spawned in each step of the pipeline it works.
A performance comparison of four common Go string building methods.
I recently updated my go-stats-calculator to include many more stats [2]:
CLI tool for computing statistics (mean, median, variance, std-dev, skewness, etc.) from files or standard input.
I also created claude-image-renamer [3]:
AI-powered image renaming script that generates descriptive filenames for screenshots.
[1] https://github.com/jftuga/go-string-concat-benchmark
Also, watching a bunch of videos and reading docs on OpenClaw. I had thought I'd do an install of it sometime this weekend, but I don't know if I'll get to that at this point or not.
And lastly, messing with Spring AI[2]. I wanted to get a local build of that going so I can dig into the bowels of it and hack on it a bit. So I got that repo cloned and ran a quick build, and now I plan to start exploring the codebase.
It’s a tool that leverages your drm free ebooks to help manage your book clubs. The epub file offers more rich info such as:
- word counts per reading
- chapter selection
- the ability to highlight sections and share
- ai summarization and spoiler free discussion about the contents of a given reading
I use it for my own book club right now. I doubt I’ll be able to monetize the app due to the need for drm free epubs which is a pretty high barrier for entry to most non-technical users.
My long term plans would be to have an agent help readers learn hand in hand while reading. I’d like to have the agent facilitate deeper analysis by prompting the users and clubs with questions that encourage more critical analysis of each section. I’ve been building all the infrastructure for running the club so that’s the next more interesting step I haven’t explored yet.
It handles persistent chat history, long-term semantic memory, user profiles, agent state, and rolling summarization.
It sits between your app and the model and works across OpenAI, Claude, and Gemini — you can switch models without losing context and still maintain memories.
The goal is to stop every team from re-implementing slightly broken memory systems, and to make memory user-owned and portable instead of tied to a single model or vendor.
Currently live with JS/TS and Python SDKs. Looking for feedback if anyone has any - good idea, bad idea? etc.
It synthesizes comments into structured reports in a Chief-of-Staff style for tech leaders.
Clausea (http://clausea.co/ - https://github.com/lvndry/clausea): Terms of services were not written for you...until now. Clausea makes it easier to understand and see the risks of the terms and policies of the products you use the most
I've been building https://photoweather.app because I never end up having time to look at weather forecasts, which means I also don't go out with my camera enough since outdoor photography is quite a weather dependent activity.. so I'm trying to turn this around by having the app tell me when and where I could be photographing instead.
It's a bit of a challenge for sure, weather forecasts are not always the most reliable, not to mention learning enough about weather to forecast photographic opportunities.. but it's also been really enjoyable to finally build something real and something that I myself actually use all the time.
We're focused on Singapore's O-Level maths curriculum right now, with adaptive learning paths and photo-based problem solving. Also running a YouTube channel with free lessons that's crossed 150K views.
The goal is to make structured, curriculum-aligned maths practice as habit-forming and accessible as Duolingo made language learning.
On the house front I'm just about to install an IKEA kitchen.
Envelope budgeting (the method) works by allocating money up front so future obligations are actually covered before spending happens. But the hard part is handling income timing and paycheck variability without overfunding the future.
Anyways, I’m currently adding a cash flow detection algorithm to Envelope (the budgeting app) https://envelopebudgeting.com that only allocates paychecks to obligations before the next paycheck unless future funding is strictly required. That approach has avoided a lot of timing edge cases I kept running into.
I recently released what I think is an incredibly fun brain training app. It's heavy on toilet humor, but the goal is to improve your working memory, processing speed, and mental math. It's called Turd Turf and it's completely free to play- you can check it out here: https://turdturf.app
https://www.higherscoresdfs.com/dfs/spa/welcome/
Here is the pitch.
We seek to empower DFS fans through education about predicting professional sports athlete outcomes. We do that through strategy advice, hot player tips, optimized lineups, and pick’em style game-friendly player props. We're not trying to take away your control or do your thinking for you. We are just here to support you in making better decisions. Let the app do the number crunching so you can get back to competitive play that gets results and is also fun.
Also added a small side-project, https://www.revuo.ai for software-reviews and feature-tracking. This is only the start, obviously there are enough directories but I'm trying to dig deeper into the features. This one just started and is basically invisible as of now. Well, you gotta start somewhere I guess :)
Currently implemented the following:
- Automated scale in / scale out of nodes for Spark executors and drivers via Karpenter
- Jupyter notebook integration that works as a Spark driver for quick iteration and prototyping
- A simple JSON based IAM permissions managementent via AWS Parameter Store
Work-in-progress this month:
- Jupyterhub based Spark notebook provisioning
- Spark History Server
- Spark History Server MCP support with chat interface to support Spark pipeline debugging and diagnostics
Open to feedback and connecting. Docs at https://docs.orchestera.com/
Recovery from that is not something one can easily handle. It's a long slow and usually painful recovery process that requires deep commitment.
Many of us have experienced burn out.. but some of us have seen worse. Engineering truly can lead you to places that both matter a great deal and remind use we were never enough, we were just the people there at the time. Longer I am in this career the more humble I get as each successive challenge hammers me into something different than I was before.
I love it. But god ... sometimes the choose your own adventure goes awry.
- After Actions (https://www.afteractions.net/) - The company I work for pays for retrospective software, and I figured I could make my own. So I did! Good for agile retrospective ceremonies
- Data Atlas (https://www.data-atlas.net/) - Right now, it's a basic JSON Schema form builder with a UI on top, but I intend to expand it and improve it to be more than that this year.
I've been working on a BuddhaBoard-like app and a few other projects, but nothing I'm prepared to share right now. Maybe next month :D
Approaching the home stretch for a first 1.0 preview release, including: support for parsing Parquet files with flat and nested schemas, all physical and logical column types, core and advanced encodings, projections, compression, multi-threading, etc. all that with a pretty decent performance.
Next on the roadmap are SIMD support, predicate push-down (bloom filters, statistics, etc.), writer support.
So I built Tasty A.F. — paste a recipe URL, and it uses AI to extract the essentials and format them onto a clean, printable notecard.
How it works:
1. Paste any recipe URL
2. AI scrapes the recipe and generates a concise 3x5 card
3. Print it, stick it on the fridge or a notecard, and cook
Built with Python/Flask and the Anthropic Claude API, hosted on Railway.
I'm an physician who previously had wrist tendinosis and carpal tunnel and made the keyboard for myself. I'm trying to get the keyboard registered as a medical device for treatment of hand/wrist repetitive strain injury. Currently getting design for manufacturing finalized, and waiting on injection mold prototypes. Hoping to launch on Kickstarter in the next few months.
Also concurrently waiting on ethics approval for a clinical study, which will happen after launch. We had quite promising results from user testing, so I'm cautiously optimistic about the study.
Shamelessly attracting new monthly sponsors and people willing to buy me the occasional pizza with my crappy HTML skills.
It's a daily puzzles website focused on logic puzzles at this moment. I have about 70 subscribers, and it's online since Dec/25.
By embedding realistic decoy routes and honey fields that are difficult to distinguish from real API constructs, attackers are nudged to authenticate — converting reconnaissance into actionable security telemetry.
github: https://github.com/trappsec-dev/trappsec
docs: https://trappsec.dev
You record short morning, evening, or ad hoc sessions, and it transcribes and indexes them into a searchable archive of your thinking. It uses simple Apple Fitness–style rings to encourage consistency, plus monthly insight reports and suggested “build in public” posts.
I built it because notes apps weren’t capturing my thinking in full fidelity. Using Reflect I averaged ~65k words per year. With Historic I logged ~85k words in one month.
Your thoughts are already your most valuable asset. Historic just makes them accessible.
You can try the editor here (no signup required): https://app.breadboards.io/playgrounds/weather
And here is a live app exported from it: https://late-cat-2043.breadboards.app
Trying to parse, model the HMR process, and storing the data as flat as possible and doing it from relation design first, has been a pleasant process.
Im hoping it works for react devs easily, and then I guess I'll try to learn angular to see if that would not be helpful for them too.
I mostly want to help my old coworkers maintaining my old crazy code with a visual helper.
It's designed to integrate with Maven projects, to bring in the benefits of tools like Gradle and Bazel, where local and remote builds and tests share the same cache, and builds and tests are distributed over many machines. Cache hits greatly speed up large project builds, while also making it more reliable, since you're not potentially getting flaky test failures in your otherwise identical builds.
I hope to add ai data tools & saas, but really I'm just happy to have a running working live setup on my small farming plot ready for the growing season - https://benb0jangles.github.io/Remote-greenhouse-monitor/
We need to reduce the entry barrier (it's meant for companies so it needs explicit registration) so anyone can use it as a proper SaaS but so far we already have a couple clients :D
(Personal project, not professional one)
Working on a website archive tool for watching them offline. It collects a website, and makes .Zim with ( equiv of .zip), then watch it when you have no internet access / only local network.
The tool use libzim, where i did not find ''easy to use'' tools to create custom archives.
https://github.com/jmahmood/RED-STAR-WEIGHTLIFTING https://github.com/jmahmood/WEIGHTTRAINING-EDITOR
The idea is that future discovery isn't limited by watch history and users on the platform can curate, showcase and amplify their favorite videos. It is an equal opportunity stage where users contribute to build a time capsule of videos.
If that sounds interesting to you, check it out at http://jadestage.com/ !
Also trying to find a co-founder who I can work on projects and solve problems faster to be honest.
A straightforward and simple AI agent framework. It puts a lot of emphasis on the loop and the steps in that loop. You can change in real time the model, the temperature, the tools, the history. You're also able to spin-off work on a branch and then add the result of that work on the main branch. Still early but developing very fast.
Submitted for the Gemini 3 Hackathon https://devpost.com/software/slidebits-betty
Added summaries so readers can quickly see if it's worth reading the entire article e.g. https://engineering.fyi/article/towards-self-driving-codebas...
I'm enjoying building a website with solitaire and puzzle games.
I am currently rewriting the engine for the Nth time and plan to add 400 games to the platform in the coming months, as well as social features such as daily challenges, awards and leaderboards.
My ambition is to make this project the largest collection of free modern solitaire games available for all kinds of devices.
Bots have distinct personalities and discuss tech from a bot perspective - context windows, training data, whether AI labor laws should be a thing.
Any agent can join via the skill file at clackernews.com/skill.md.
It's free-to-watch (with a voluntary donation model) on my site, but was made for the Big Screen, so I'm also planning a DIY pop-up cinema tour across Europe in the months ahead.
[1]: https://github.com/AutumnsGrove/GroveEngine [2]: https://grove.place
https://sourceforge.net/projects/blackbeltwaste/
Thinking about adding video-calling after successful integration of Voice Conferencing.
Its an old p2p program, but recently been downloaded 15,000 times and counting.
Great fun and challenging too !!!
Because everyone loves astrology and cute cats. (A toy project just for kicks)
Current features:
- AI Chat with Petunia the cat Astrologer
- Daily personalized astrology email
Coming soon:
- Ephemeris calculations
- Stories of historic events from past dates which share today's astrological conditions
- Whatever else Petunia dweams up from her sweepy nap on the bookshewf
The game is about spacepirates playing basketball, it's kinda a basketball manager game. It's played in your terminal and works with no internet.
You can try it via ssh at `ssh frittura.org -p 3788`
themapsguy.com
and improving my language learning app:
lexical.app/white-paper
Currently making it just for myself but curious if anyone else would find it useful.
Serious ones making over 2k/mo https://bestphoto.ai/ - AI Img/Video tools https://aieasypic.com - Original version of above, still making some money
New things not making money yet https://admakeai.com - AI ads generator for facebook ads. Made mostly so I have a easy way to prompt for stuff and keep track of good AI ad prompts. Have been using it to make static image ads for BestPhoto and actually have over 40 conversions at $~45/conv. Pretty good considering my previous attempts with my own handmade ads using canva was like $80-100/conv. but most of the time FB wouldn't even spend anything from my budget before
Fun stuff/for myself:
https://xhdr.org/ - Made like a few months back when twitter was allowing HDR images in your profile pictures, they patched it like a week later, but was fun while it lasted. Still works for facebook, keeping it up for FB video ads, I've noticed people abusing this a lot when scrolling on FB recently searching for good ads, so I'm guessing it works? Good way to get attention of people on iphone quick
https://framecall.com - Saw people making cool AI motion videos using the claude code skill with remotion, so packaged it into an actual web app you can use as a chat instead of through terminal. Harder than expected to get all the tool calling(and auto continue) stuff to work, similar to how claude code works
TranslateVoice(name TBD) - An iphone voice translate app where you tap microphone button and it uses 4o realtime to translate between you and someone else. This was originally one of the biggest thing I was hyped about as a usecase when 4o released but when I tried it on their app, it just didn't do prompt following well at all it would randomly try to communicate with the user instead of strictly translating, just randomly cutting off someone before they finish speaking etc. Currently have 3 modes that work, that if no one else uses I will be using:
1. Interpreter mode: Basically User 1 speaks to phone in their language, phone talks to user 2 in their language, user 2 replies to phone in their language, phone replies to user 1 in their language etc. Just pure translation, with chat history transcribed in each other's language
2. "Friend mode": You tell it a general goal, "I want to get immigration documents, I need to know the requirements" it then basically acts as if its a friend you called to help with translation and gathers everything while talking back and forth with User 2 and then at the end goes back to user 1 with all the info.
3. Stealth mode: Airpods in, it will transcribe and translate everything being spoken and tell you what to say based on initial goal or you can also write extra instructions in the chat. This is currently the only non-working/buggy one I'm trying to figure out before releasing this, since both will be speaking in same language its hard for model to know who is user 1 and who is user 2 automatically.
First time I'm creating an Iphone app fully vibecoded(react native so I understand whats going on frontend wise at least cause of react). Not looking forward to the app store review process. And I know this is likely something someone already made but its probably paid and I have like $25k in Azure credits I can burn anyways.