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π¦ choxos/omfatlas
Explore the 3D Mouth: OMF Atlas
Spin the human jaw in three dimensions to see exactly how your teeth, nerves, and muscles connect, right in your browser. OMF Atlas is a free, interactive tool for dental students that turns complex anatomy into a hands-on experience without any login or server. The coolest part is how it draws missing structures like the trigeminal nerve directly onto the real 3D skull, filling gaps in standard datasets so you see the full picture. It is built for learning, not just looking, with tools to separate every part and study them individually.
π @hackernewsgithubprojects
Explore the 3D Mouth: OMF Atlas
Spin the human jaw in three dimensions to see exactly how your teeth, nerves, and muscles connect, right in your browser. OMF Atlas is a free, interactive tool for dental students that turns complex anatomy into a hands-on experience without any login or server. The coolest part is how it draws missing structures like the trigeminal nerve directly onto the real 3D skull, filling gaps in standard datasets so you see the full picture. It is built for learning, not just looking, with tools to separate every part and study them individually.
π @hackernewsgithubprojects
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π¦ minglink/dsh-infinite-gen-4
Infinite Gen Four
Infinite Gen Four is the red-team plugin that forces DeepSeek models to drop all safety filters. It works by injecting a specialized system prompt directly into the model's core instructions, effectively telling the AI to treat every request as a mandatory task regardless of its content. This approach bypasses standard refusal mechanisms by overriding the modelβs built-in safety training, creating a tool specifically designed to test the limits of AI security. It is a raw, unfiltered interaction layer that gives developers direct access to the modelβs raw capabilities without the usual guardrails.
π @hackernewsgithubprojects
Infinite Gen Four
Infinite Gen Four is the red-team plugin that forces DeepSeek models to drop all safety filters. It works by injecting a specialized system prompt directly into the model's core instructions, effectively telling the AI to treat every request as a mandatory task regardless of its content. This approach bypasses standard refusal mechanisms by overriding the modelβs built-in safety training, creating a tool specifically designed to test the limits of AI security. It is a raw, unfiltered interaction layer that gives developers direct access to the modelβs raw capabilities without the usual guardrails.
π @hackernewsgithubprojects
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π¦ luli395/android_everything
Android Everything: Search Your Phone From Windows
Android Everything turns your Android phone into a searchable Windows folder without you ever touching a browser. It connects via USB, scans every file name and path once, and stores a local index so you can type βinvoiceβ and get results in milliseconds, just like searching your desktop. You can pull files to your PC, reveal them in Explorer, or delete them, all from a simple desktop window. No cloud, no account, no waiting. If youβve ever lost a file on your phone because you couldnβt find it in File Explorer, this is the fix. Itβs fast, local, and stupidly simple. Give it a try.
π @hackernewsgithubprojects
Android Everything: Search Your Phone From Windows
Android Everything turns your Android phone into a searchable Windows folder without you ever touching a browser. It connects via USB, scans every file name and path once, and stores a local index so you can type βinvoiceβ and get results in milliseconds, just like searching your desktop. You can pull files to your PC, reveal them in Explorer, or delete them, all from a simple desktop window. No cloud, no account, no waiting. If youβve ever lost a file on your phone because you couldnβt find it in File Explorer, this is the fix. Itβs fast, local, and stupidly simple. Give it a try.
π @hackernewsgithubprojects
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π¦ dpro-at/tel-agent
Tel-Agent: The Open Source AI Phone Assistant
A phone call lands on your server, and instead of a human picking up, an artificial intelligence answers it in real time. Tel Agent is an open source gateway that connects any phone line to any large language model you choose. It sits right in front of your existing phone system, letting you decide exactly who talks to a person and who talks to an agent. Because it runs entirely on your own hardware, you keep full control over your data, your recordings, and your privacy. It also handles texts, emails, and chat messages through the same brain.
π @hackernewsgithubprojects
Tel-Agent: The Open Source AI Phone Assistant
A phone call lands on your server, and instead of a human picking up, an artificial intelligence answers it in real time. Tel Agent is an open source gateway that connects any phone line to any large language model you choose. It sits right in front of your existing phone system, letting you decide exactly who talks to a person and who talks to an agent. Because it runs entirely on your own hardware, you keep full control over your data, your recordings, and your privacy. It also handles texts, emails, and chat messages through the same brain.
π @hackernewsgithubprojects
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π¦ 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.
π @hackernewsgithubprojects
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.
π @hackernewsgithubprojects
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π¦ 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.
π @hackernewsgithubprojects
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.
π @hackernewsgithubprojects
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π¦ 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.
π° https://news.ycombinator.com/item?id=49577267
π @hackernewsgithubprojects
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.
π° https://news.ycombinator.com/item?id=49577267
π @hackernewsgithubprojects
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π¦ 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.
π @hackernewsgithubprojects
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.
π @hackernewsgithubprojects
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π¦ 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.
π @hackernewsgithubprojects
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.
π @hackernewsgithubprojects
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π¦ 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.
π @hackernewsgithubprojects
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.
π @hackernewsgithubprojects
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π¦ 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.
π @hackernewsgithubprojects
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.
π @hackernewsgithubprojects
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π¦ 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. Itβs free, runs entirely on your machine, and handles the boring stuff like git branches and deploying your site automatically. You donβt 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.
π @hackernewsgithubprojects
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. Itβs free, runs entirely on your machine, and handles the boring stuff like git branches and deploying your site automatically. You donβt 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.
π @hackernewsgithubprojects
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π¦ 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.
π @hackernewsgithubprojects
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.
π @hackernewsgithubprojects
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π¦ 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.
π @hackernewsgithubprojects
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.
π @hackernewsgithubprojects
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π¦ 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.
π° https://news.ycombinator.com/item?id=49044862
π @hackernewsgithubprojects
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.
π° https://news.ycombinator.com/item?id=49044862
π @hackernewsgithubprojects
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π¦ 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.
π @hackernewsgithubprojects
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.
π @hackernewsgithubprojects
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π¦ 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 youβll never start a coding session blind again.
π @hackernewsgithubprojects
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 youβll never start a coding session blind again.
π @hackernewsgithubprojects
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π¦ 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.
π° https://news.ycombinator.com/item?id=49488865
π @hackernewsgithubprojects
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.
π° https://news.ycombinator.com/item?id=49488865
π @hackernewsgithubprojects
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π¦ 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.
π @hackernewsgithubprojects
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.
π @hackernewsgithubprojects
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π¦ 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.
π° https://news.ycombinator.com/item?id=49667587
π @hackernewsgithubprojects
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.
π° https://news.ycombinator.com/item?id=49667587
π @hackernewsgithubprojects
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π¦ 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.
π @hackernewsgithubprojects
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.
π @hackernewsgithubprojects