📦 brijr/iris

Iris Gives AI Coding Agents Eyes

A command-line tool called Iris gives coding agents a literal camera, allowing them to see exactly what a website looks like to a human. Instead of relying on messy code or blind guesses, Iris renders a live page using your actual Chrome browser and captures a crisp, retina-quality image. This is especially powerful when hooked into an agent via a local server, letting it verify that a button is visible or a dark mode theme is applied before it writes code. By providing this visual ground truth, developers can trust that their automated helpers are actually building what they intended.

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📦 jarvis322/macos-sysdata

What is really inside your Mac's System Data?

Stop guessing where your Mac's storage went. System Data Unpacked opens up that mysterious black box of unattributed files, showing you exactly what is eating your disk space, like simulator runtimes or old build caches. The coolest part is how safe it is: it never deletes a single thing unless you click it, and it even shows you the exact command it will run before you let it happen. It turns that scary, opaque label into a clear, manageable list. No more wondering what is hiding in your storage; just clean up what you want, keep what you need, and finally understand where all that space actually went.

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📦 shaqkao/screenshotify

Screenshotify: The App That Names Your Screenshots

Screenshotify is the background app that finally turns your messy screenshot pile into a searchable library. Most people end up with hundreds of files named with random dates and times, making it impossible to find that one specific image later. This tool quietly watches your screenshot folder and uses an AI model to look at the picture. It then suggests a descriptive, human-readable filename for you to approve. You can choose which AI service to use, including private options that run entirely on your own computer. It is free, open source, and works on both Windows and Mac.

📰 https://news.ycombinator.com/item?id=49577267

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📦 heygen-com/liveavatar-gpt-live-demos

LiveAvatar GPT Live Demos: The Talking Tutor That Remembers

Teach yourself a new language by simply talking to a friendly, animated character that actually listens. This open source project connects a real-time voice model with a digital face, creating a live tutor that speaks back to you. The coolest part is that it does not rely on the AI to remember what it just taught. Instead, the server keeps its own private list of every word you learned. So when the avatar shrinks into the corner to review your progress, it shows you the exact words you have mastered. It is not just a chatbot; it is a visual study buddy.

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📦 wuji-technology/wuji-ego-mint

Wuji Ego Mint: 1000 Hours of Hand Tracking

wuji ego mint is the video model that turns plain phone footage into precise hand tracking data without expensive sensors. Usually, figuring out where hands are in space requires expensive hardware and messy software chains. This project uses a single neural network to predict camera movement and hand position directly from regular video. It was trained on over a thousand hours of real life footage to understand how objects move in the world. This makes high quality motion data accessible for anyone with a decent graphics card. It removes the need for specialized tracking rigs. Now, researchers can generate clean hand motion data from existing video libraries.

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📦 slee-persis/gvs5h

GVS5H: Five Qwen Models Match Claude Fable 5

GVS5H is the research project that proves five smaller models working together can match top-tier coding performance. Instead of relying on one massive, expensive model, this method splits a hard coding problem into smaller pieces, letting a group of models share notes and plans through a simple file system. This coordinated approach allows standard open-weight models to solve complex coding challenges with accuracy that rivals the most expensive proprietary tools. It is a fascinating look at how organization and teamwork can boost AI performance without needing massive hardware or huge budgets.

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📦 tonyd2wild/deepseek-v4.1-flash-vllm-dgx-spark

552B Model on Four Spark Devices

A five-hundred-and-fifty-two-billion parameter AI model now runs on just four compact desktop computers. The DeepSeek V4.1 Flash project takes a massive language model that normally requires a data center and fits it onto a small cluster of NVIDIA DGX Spark boxes. The core challenge was memory. The model has a huge internal dictionary that does not fit in standard memory, so the developers kept that dictionary on a hard drive and only pulled specific lines when needed. This required fixing several software bugs to get the hardware talking correctly.

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📦 ship-studio/ship-studio

Ship Studio: The AI Developer Studio

Ship Studio is the local first development app that puts your favorite command line coding agents right inside your project window. Instead of juggling separate terminals, browsers, and hosting dashboards, you get one clean workspace where you can talk to tools like Claude Code or Codex directly next to your live preview. It’s free, runs entirely on your machine, and handles the boring stuff like git branches and deploying your site automatically. You don’t have to learn a new syntax or leave your comfort zone to make changes. Just describe what you want, watch the agent build it, and push it to the world.

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📦 xuzhougeng/scientificfigurelibrary

Scientific Figure Library: Your Plotting Vault

Your scientific figures live on your hard drive, not in the cloud. Scientific Figure Library acts as a personal vault where you import plots and their code, review them, and publish exact, immutable versions to a single local folder. This solves the chaos of hunting through old scripts for that perfect graph layout. You simply search your library, confirm a template, and drop the exact code and image into any new project. It works directly with Claude Science and Wisp Science, so your coding agents can reuse your approved figures without guessing. It never runs the code for you, keeping your data safe and your workflow predictable.

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📦 narumiruna/pi-extensions

Pi Extensions: Make Your Coding Agent Your Own

Customize your coding agent's personality and workflow by picking and choosing exactly which tools it needs. Pi Extensions is a collection of add-ons that turns a basic AI assistant into a highly personal productivity machine. The coolest part is the goal mode, which forces the agent to keep working on a task until it is truly finished, rather than stopping halfway. It is like having a persistent intern who refuses to go home until the job is done. This repo solves the problem of generic AI tools that do not fit your specific coding style.

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📦 ion-elgreco/rivers

Rivers: Rust-Powered Python Pipelines

Rivers is the orchestration platform that keeps your data pipelines blazingly fast without sacrificing Python simplicity. Most tools run the heavy logic in Python, which can get slow, but Rivers uses Rust for the core engine. You still write your pipelines in Python, but the tricky parts like figuring out what runs next happen in compiled code. This means the system can handle massive, complex workflows without breaking a sweat. If you are building data systems that need serious speed and reliability, this is a tool worth checking out.

📰 https://news.ycombinator.com/item?id=49044862

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📦 taruma/sceneflow

SceneFlow: The Script-to-Screen Sync Tool

SceneFlow is the script-to-screen sync tool that finally lets you see exactly which part of your prompt is on screen at any given moment. Built for AI filmmakers, it links specific lines of your screenplay to video timestamps so you can watch your script highlight in real-time as the footage plays. It handles both traditional screenplays and technical auteur scripts, helping you spot missed instructions or camera drift instantly. This makes it incredibly useful for checking if your AI video model actually followed your creative vision without manual guesswork. If you are generating video from text, this is the quickest way to know what worked and what needs fixing.

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📦 remvisual/claude-handoff

Claude Handoff: Never Lose Your Code Context

Save your coding progress before the AI forgets it. Claude Handoff captures every decision, failed attempt, and measurement from your session into a single, structured note. This solves the frustrating problem of starting each new AI coding session from scratch, wasting time rediscovering what was already tried. The tool automatically links these notes together, so your third session knows exactly what happened in the first two. It turns a chaotic conversation into a clear roadmap, ensuring your next session picks up precisely where you left off without confusion. Try it once, and you’ll never start a coding session blind again.

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📦 see-sol-lab/deepseekgui

DeepSeekGUI: The AI Workbench That Actually Works

DeepSeekGUI puts a full, self-contained AI coding workspace directly onto your desktop, solving the headache of juggling separate terminals and browsers. Built on the stable DeepSeek Harness, this tool lets you chat with an assistant that reads your code, edits files, and runs commands while keeping everything local for privacy. The coolest part is the integrated Git and browser view, which lets you see exactly what the AI changed and browse web pages right next to your conversation. It even remembers your project details across sessions, so you never have to repeat yourself.

📰 https://news.ycombinator.com/item?id=49488865

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📦 featrs/featrs

featrs: The Rust Data Prep Powerhouse

featrs brings the massive, familiar preprocessing toolkit of Python to the high-performance world of Rust. Built entirely on top of the Polars data engine, it lets you scale, encode, and clean your data frames without ever leaving the Rust ecosystem. The real surprise here is that it doesn't just do the math; it handles the messy, real-world headaches like missing indicators, rare category grouping, and even complex time-series lags and rolling windows. It mirrors the structure of scikit-learn so you can translate your mental models directly into Rust code. This is the missing piece for data engineers who want the speed of Rust and the structure of Python.

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📦 xnet-ngo/aiope

One Founder, One AI, One App

Take a full Linux terminal, real-time voice, and a browser, and put them all in the pocket of an Android phone. That is exactly what AIOPE does. It is not just a chatbot that answers questions; it is an autonomous agent that actually gets things done. Ask it to text a friend, check the weather, or write a piece of code, and it will do the work right there on your device. The coolest part is how much power it packs into a single app. It runs a real operating system, automates your web browser, and connects to remote servers, all while keeping your data private.

📰 https://news.ycombinator.com/item?id=49667587

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📦 miaai-lab/deepseek-v4.1-flash-dgx-sparks

Run DeepSeek V4.1 Flash on Three DGX Sparks

Run a massive language model on just three affordable NVIDIA DGX Spark boxes. This project connects three separate computers into a single, powerful server that handles complex tasks like vision and tool use. The trick is moving huge memory tables to the hard drive so the actual AI fits inside the limited memory of these small boxes. It works by splitting the model across the machines and using a fast network link to keep them in sync. You get a standard API endpoint that is ready to use, which is huge for anyone wanting to test a big model without buying a million-dollar server.

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📦 vesaias/jobnavigator

JobNavigator: The AI That Hunts Jobs For You

JobNavigator is a self-hosted tool that turns your job hunt into an automated assembly line, running entirely on your local hardware. It scrapes career pages and job boards, then uses AI to score every listing against your résumés to see if you are actually a fit. The coolest part is the Chrome extension: it auto-fills application forms and answers tricky interview questions using your personal profile, so you never stare at a blank text box again. It even tracks your status and pings you via Telegram when a reply arrives. You are in control of the data, the pace, and the privacy.

📰 https://news.ycombinator.com/item?id=49615385

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📦 crwdla/tokentab

How much do AI tools actually cost?

Tokentab is the offline cost tracker that finally shows you exactly what your AI coding assistants are spending. It reads the session logs already saved on your computer for tools like Claude Code and Gemini, then adds up the token usage to calculate your real costs by model, project, and day. Because it runs entirely locally without needing an API key or internet connection, your data never leaves your machine. You can view these numbers in a simple terminal or a local web dashboard to see exactly where your money goes. It is the straightforward way to stop guessing and start seeing the true price of your automation.

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📦 0xbakeer/deepseek-v41-flash-spark

DeepSeek-V4.1-Flash Runs on One Box

DeepSeek-V4.1-Flash is the single-machine serving recipe that keeps full quality without shrinking the model. Most attempts to run this massive language model on one computer force you to lower the accuracy so it fits in memory, but this project takes a different path. It holds the most important parts of the model in fast memory while streaming the rest from the hard drive as needed. This means you get the exact same output quality as the original, even if it moves slower. The repository handles all the complex setup so you can connect your favorite chat apps and start using it immediately.

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