📦 nominal-io/instro

Instro: One Codebase for All Your Lab Hardware

Instro lets you write a single Python script that controls power supplies, multimeters, and oscilloscopes from different manufacturers as if they were the same device. Instead of learning a unique command set for every piece of lab equipment, you use one unified, typed interface to turn them on, set voltages, and read measurements. It solves the tedious problem of juggling vendor-specific drivers by wrapping them in a consistent structure, so your test code stays clean and portable. If you build hardware, this library saves you from rewriting your entire test suite every time you switch brands.

📰 https://news.ycombinator.com/item?id=49542921

🆔 @hackernewsgithubprojects

📦 mercor-intelligence/apexagents-skyrl-recipe

How Apex Agents SkyRL Recipe Trains Real Work AIs

Take a massive language model and teach it to actually do professional work without breaking a sweat. That is exactly what the Apex Agents SkyRL Recipe achieves by turning open source tools into a complete training loop. It lets you take a standard model and train it to handle complex tasks like analyzing documents or running simulations inside secure digital sandboxes. The coolest part is that it uses an LLM judge to grade the agent on real results, giving it a taste of success or failure. You get a clear blueprint for building agents that can navigate messy, real world environments.

🆔 @hackernewsgithubprojects

📦 nourmtir0722/paperlab

Paperlab Makes Digital Paper Feel Real

Make your web pages feel like physical objects, not just flat screens. Paperlab turns a simple code snippet into a three-dimensional sheet of paper that actually bends, folds, and ripples in real time. It is not a video or a clever trick; the text and images are painted directly onto the mesh, so they curl with the material. You can watch a receipt unroll or a letter fold itself, all while keeping the code simple. It is a fascinating way to add tangible, tactile depth to digital interfaces without heavy assets. If you want your designs to have texture and weight, this is the tool to watch.

🆔 @hackernewsgithubprojects

📦 hibiscusconsulting/nectar-lang

Nectar: The Web Without JavaScript

Write web apps that run entirely in Web Assembly, completely bypassing the JavaScript engine. Nectar is a programming language that compiles your code directly into a tiny, safe binary, eliminating the need for virtual DOM diffing or garbage collection. Because the logic runs on machine code, updating a specific part of the screen takes constant time, making interfaces feel instantly responsive without the usual browser overhead. This approach solves the slow performance and memory leaks typical of modern web frameworks by keeping your application logic isolated and fast. It is a fascinating look at a future where the web is faster, safer, and lighter than ever before.

📰 https://news.ycombinator.com/item?id=48869006

🆔 @hackernewsgithubprojects

📦 zestfulpulse/ios-app-store-submit

I Ouch, Apple's App Review Is Now a Skill for Your AI

iOS App Store Submit is the release intelligence tool that finally stops you from guessing if your app is ready to ship. It plugs into your coding assistant to scan your project for privacy gaps, design flaws, and guideline violations before you ever click upload. If Apple rejects you, it maps the rejection to a specific fix, verifies the change, and drafts your reply, ensuring you never claim a problem is solved until the proof is actually there. It is less about speed and more about making sure your app is genuinely safe to submit.

🆔 @hackernewsgithubprojects

📦 wanshuiyin/hero-anti-overdefense

HERO: Stopping AI Over-Defense

When you ask a coding agent for a simple feature, it often returns a fortress of unnecessary checks instead of the actual code. The project called HERO solves this by giving your AI tool a plain-text contract that stops four specific habits: adding useless hashes, guarding against impossible edge cases, replacing judgment with rigid checklists, and building complex scaffolding for features nobody asked for. This repository contains a short block of rules you paste directly into your agent’s configuration file, along with a catalogue of real examples showing exactly what went wrong. It works with major tools like Claude Code and Cursor without any installation.

🆔 @hackernewsgithubprojects

📦 dutkiewiczmaciej/maklock

MakLock: Lock Apps with Touch ID

Lock any application on your Mac using your fingerprint or Apple Watch. MakLock is a free, open-source menu bar app that covers your screen with a blur whenever you try to open a protected program, forcing you to authenticate before seeing anything. It works better than paid App Store alternatives because it can detect app switches, not just launches, and uses a safe overlay that never freezes your computer. This means no one can peek at your private apps by simply switching windows. The project also includes a panic key to unlock everything instantly if you get stuck.

📰 https://news.ycombinator.com/item?id=47794248

🆔 @hackernewsgithubprojects

📦 human-agent-society/reef

Reef: The AI That Gets Smarter

Reef is the learning backend that makes your AI agents improve themselves automatically. Normally, you train a model once, deploy it, and hope it stays useful, but Reef changes that by constantly watching how your agent behaves in the real world. It takes that live feedback, figures out what went well or wrong, and quietly updates the agent's skills or internal logic while it is still running. You do not need to restart anything or manage complex data pipelines; the system just keeps getting better the more you use it. It is like having an AI that actually learns from its mistakes instead of repeating them.

🆔 @hackernewsgithubprojects

📦 chenglou/sotaku

Sotaku: The Tiny Sudoku Solver

Sotaku is the tiny neural network that solves almost every Sudoku puzzle ever created. It is a model with fewer than one million parameters, which is remarkably small for this task. The secret is its ability to think in loops. While training only sees sixteen steps at a time, the model can repeat its reasoning process over a thousand times during inference. This allows it to slowly refine its answers until the grid is perfect. It achieved over ninety-nine percent accuracy on a massive benchmark of twenty-five thousand hard puzzles. Instead of memorizing solutions, it learns the logical structure of the grid itself.

🆔 @hackernewsgithubprojects

📦 radixark/miles

Miles: The RL Framework for Massive Models

Miles is the reinforcement learning framework that lets massive AI models learn without crashing. It connects the generation and training processes so they run at the same speed, which stops huge jobs from falling apart. The standout feature is fault tolerance. If a piece of hardware fails during a run, Miles fixes it and keeps going right where it left off. There is no pause and no restart. This makes training frontier models far more reliable. It is a powerful tool for anyone building serious AI. If you are training large models, this is the stability layer you need.

🆔 @hackernewsgithubprojects

📦 player-yn/pawwork_zhuazhua

Paw Work: The Chrome Extension That Turns Web Pages Into Real Files

Paw Work is the Chrome extension that turns the text and images you see on a web page into actual, editable office files. It solves the annoying problem of copy-pasting messy content from a browser into a blank document by letting you highlight exactly what you need and describe the result you want in plain language. You point at a product table, ask for a comparison sheet, and it builds a live spreadsheet right there, ready for you to tweak. The whole thing runs locally on your machine, so your data stays private and you control the AI keys.

🆔 @hackernewsgithubprojects

📦 superdesigndev/treg

Treg: The Universal Key for Agent Tools

Treg acts as a universal gateway for artificial intelligence agents, solving the messy problem of connecting them to dozens of different data sources. Instead of every agent needing its own unique keys and code for each service, Treg provides one shared connection point. This means your AI can access tools like web scraping, ad tracking, and business data through a single, standardized setup. It removes the friction of managing scattered credentials, making it easy for agents to find and use the information they need. Think of it as a master key that simplifies how smart programs interact with the outside world.

🆔 @hackernewsgithubprojects

📦 facebookresearch/jepa-wms

JEPA-WMs: The AI that learns physics

JEPA-WMs is the world model that learns physics directly from video instead of pixels. Meta AI built this tool to teach robots how the physical world works by watching footage of them moving. It does not just store images. It creates an internal map that predicts what happens next when you grab or push an object. This allows a robot to plan its moves before it actually does them. You get a smarter machine that understands cause and effect without needing constant human correction. It is a clear step toward robots that truly grasp how things move and interact in real life.

🆔 @hackernewsgithubprojects

📦 rlinf/rpent

RPent: The Robot Framework That Learns

A robot arm can now watch its own mistakes and fix them in real time. The project is called RPent. It is a framework for building agents that interact with the physical world. Instead of relying on one frozen model, it combines perception, reasoning, and memory. The agent plans an action, executes it, and reflects on the result. If it fails, it uses that memory to adapt and try again. This recursive loop lets the system improve beyond its initial design. It solves the problem of rigid robots that cannot handle new situations. It is interesting because it turns static software into a learning physical partner.

🆔 @hackernewsgithubprojects

📦 ath-maas/marco-deepresearch

Marco DeepResearch: The AI Agent That Actually Works

Marco DeepResearch exposes the frustrating gap between human experts and AI agents in real-world tasks. The project’s standout discovery is that while human tariff experts classify products with ninety-five percent accuracy, the best AI systems manage less than half that score. This massive difference highlights a critical limitation in how current models handle complex, hierarchical rules found in trade, law, and medicine. By building specific benchmarks and a self-evolving memory system, the team shows exactly where agents fail and how they can improve. The goal is not just to make chatbots smarter, but to create reliable workers that can handle messy, real-world information without constant human correction.

🆔 @hackernewsgithubprojects

📦 swarm-subnet/langostino

Langostino: The Drone You Can Actually Build

Langostino is the open-source drone that finally makes autonomous flight feel like a weekend hobby project rather than a black-box mystery. It’s a complete reference platform built with R O S and A I that hands you the exact parts list, wiring diagrams, and code needed to assemble a real, flying machine from scratch. The coolest part is that it isn’t just a simulation; you physically build the airframe, flash the flight controller, and send it outside to hold its position in mid-air. It cuts through the usual engineering fog by giving you a clear, step-by-step path from buying your components to seeing your own drone fly.

🆔 @hackernewsgithubprojects

📦 lmwilki/civ6-mcp

Civ6 MCP: Letting AI Play Civilization

Civ six M C P is the artificial intelligence project that finally lets language models play real games of Civilization VI. It connects directly to a running game, allowing the agent to move units, manage cities, and handle diplomacy through the game's own rules. No cheats and no screen reading are needed, just pure strategic reasoning over hundreds of turns. This makes it a perfect testbed for evaluating how well AI handles long-term planning and complex resource management in a dynamic environment. It is a fascinating look at how we can push language models beyond simple chat into deep, interactive gameplay.

🆔 @hackernewsgithubprojects

📦 tigerless-labs/influencer-discovery

influencer-discovery: The Zero-Dependency Outreach Engine

influencer-discovery is the zero-dependency pipeline that actually finds creators who bring their own audience. It runs as a skill for Claude Code, searching fifteen platforms to hunt down real people with established followings. The killer feature? It filters out people building their own products because they need reach, not your promotion. It only appends genuine contacts with public email addresses to your Google Sheet. There is no heavy database to install and no third-party bloat. It is pure Python standard library. You get a clean list of reachable influencers without the noise of self-promoters. It is the smart, quiet way to build your outreach list. Stop guessing who to contact.

🆔 @hackernewsgithubprojects

📦 0xohioism/polymarket-crypto-5m-15min-trading-bot

Polymarket Crypto Trading Bot

Polymarket Crypto Trading Bot is the public due-diligence overview that proves a live automated system actually works on short-term crypto markets. Instead of hiding behind backtests, this project shares real trading data from a live account that has traded over thirty thousand markets. It automates buying and selling on Polymarket for Bitcoin, Ethereum, and Solana price moves in five-minute windows. The most interesting part is the transparency. You can see the actual wins, the losing days, and the fees, so you know exactly what to expect. This isn’t a magic money printer, but it is a real, working system with verifiable results.

🆔 @hackernewsgithubprojects

📦 swufe-db-group/texlite

TexLite: The Self-Hosted LaTeX Editor

Write shared academic papers in your browser without handing your files to a cloud server. TexLite is a lightweight, self-hosted collaborative editor built for small research teams who want the live editing and commenting features of Overleaf, but with complete control over their data. The coolest part is how light it is; instead of running a massive, heavy container stack, it simply uses the LaTeX engine you already have installed on your computer. That means faster performance, zero external dependencies, and your documents stay safe on your own hard drive. It is the perfect fit for trusted groups who value privacy and speed.

📰 https://news.ycombinator.com/item?id=49450500

🆔 @hackernewsgithubprojects

📦 alchaincyf/huashu-excel

The Excel Audit Skill

Your AI agent is confidently lying to you about your sales numbers. The repository huashu-excel fixes this by making every single digit traceable to its exact source cell. It stops the common practice of blindly loading data into pandas, which silently mangles merged cells and duplicate rows. Instead, it performs a deep health check on the raw file to find dirty data. It then uses the totals rows already inside your spreadsheet as free checksums to verify every calculation. If your numbers do not match the original sheet, it flags the error immediately. This prevents the silent disasters where a wrong spreadsheet gets delivered as fact.

🆔 @hackernewsgithubprojects