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π¦ ybouane/videoflow
Code Your Videos: The VideoFlow Script
VideoFlow turns writing code into making actual video files. Instead of dragging clips around in a heavy editor, you write simple TypeScript instructions to place text, drop in images, and set up animations. The system compiles your script into a portable format that can render an MP4 directly in your browser or on a server. The coolest part is the resolution independence. You design your layout using relative units, so a composition built for a massive forty k monitor scales down perfectly to a standard phone screen without breaking the layout.
π @hackernewsgithubprojects
Code Your Videos: The VideoFlow Script
VideoFlow turns writing code into making actual video files. Instead of dragging clips around in a heavy editor, you write simple TypeScript instructions to place text, drop in images, and set up animations. The system compiles your script into a portable format that can render an MP4 directly in your browser or on a server. The coolest part is the resolution independence. You design your layout using relative units, so a composition built for a massive forty k monitor scales down perfectly to a standard phone screen without breaking the layout.
π @hackernewsgithubprojects
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π¦ zhijiewong/openharness
OpenHarness
Your terminal can now run a full AI coding agent that actually lives inside your shell, and it does not force you to pick a single cloud provider. OpenHarness is an open source command line tool that connects to any large language model, whether that is a free local model on your own computer or a paid API. The coolest part is that it treats your codebase like a safe space. Every change the AI makes gets wrapped in a git commit automatically, so if the bot writes something terrible, you can just undo it with one command.
π° https://news.ycombinator.com/item?id=47600371
π @hackernewsgithubprojects
OpenHarness
Your terminal can now run a full AI coding agent that actually lives inside your shell, and it does not force you to pick a single cloud provider. OpenHarness is an open source command line tool that connects to any large language model, whether that is a free local model on your own computer or a paid API. The coolest part is that it treats your codebase like a safe space. Every change the AI makes gets wrapped in a git commit automatically, so if the bot writes something terrible, you can just undo it with one command.
π° https://news.ycombinator.com/item?id=47600371
π @hackernewsgithubprojects
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π¦ ektogamat/threejs-conference
Threejs-Conference: Rain That Actually Collides
A browser scene renders a rainy cyberpunk alley where thousands of raindrops physically bounce off rooftops and car roofs without crashing the computer. This project, called Threejs-Conference, solves a common problem: making digital weather look real while keeping it fast enough to run on your phone. Instead of checking every drop against every wall, which is slow and messy, it uses a clever shortcut. The graphics card creates a simple height map of the street, then lets the rain calculate its own bounces directly on the hardware. This means the water behaves correctly without the main processor getting stuck.
π @hackernewsgithubprojects
Threejs-Conference: Rain That Actually Collides
A browser scene renders a rainy cyberpunk alley where thousands of raindrops physically bounce off rooftops and car roofs without crashing the computer. This project, called Threejs-Conference, solves a common problem: making digital weather look real while keeping it fast enough to run on your phone. Instead of checking every drop against every wall, which is slow and messy, it uses a clever shortcut. The graphics card creates a simple height map of the street, then lets the rain calculate its own bounces directly on the hardware. This means the water behaves correctly without the main processor getting stuck.
π @hackernewsgithubprojects
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π¦ wladimiravila/esp32s3-distributed-ai
ESP32-S3 Distributed AI
Three tiny circuit boards, each no larger than a coin, can work together to generate human-like text without touching the internet. This project, called ESP32-S3 Distributed AI, splits a massive language model across these three microchips, allowing them to chat over a direct wireless link to complete complex tasks. By dividing the heavy lifting among them, the system solves the problem of running powerful artificial intelligence on hardware that usually lacks the brain power for such jobs. You simply connect to the local network, type a prompt, and watch the boards collaborate to stream text back to your screen.
π° https://news.ycombinator.com/item?id=49111137
π @hackernewsgithubprojects
ESP32-S3 Distributed AI
Three tiny circuit boards, each no larger than a coin, can work together to generate human-like text without touching the internet. This project, called ESP32-S3 Distributed AI, splits a massive language model across these three microchips, allowing them to chat over a direct wireless link to complete complex tasks. By dividing the heavy lifting among them, the system solves the problem of running powerful artificial intelligence on hardware that usually lacks the brain power for such jobs. You simply connect to the local network, type a prompt, and watch the boards collaborate to stream text back to your screen.
π° https://news.ycombinator.com/item?id=49111137
π @hackernewsgithubprojects
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π¦ xrip/cmp50hx-unlock
CMP 50HX Unlock
The CMP 50HX mining card has been artificially limited to a fraction of its true speed, but a new project called CMP 50HX Unlock reverses that restriction. It works by installing a special firmware patch during the early computer startup phase, which tells the graphics processor to run at its full factory speed instead of the throttled mining rate. This single change boosts the card's raw calculation power by over thirty times, making it perform like a high-end RTX 2080 Ti graphics card. The solution is simple to apply with a single installer for both Linux and Windows, and it also fixes slow data transfer speeds.
π @hackernewsgithubprojects
CMP 50HX Unlock
The CMP 50HX mining card has been artificially limited to a fraction of its true speed, but a new project called CMP 50HX Unlock reverses that restriction. It works by installing a special firmware patch during the early computer startup phase, which tells the graphics processor to run at its full factory speed instead of the throttled mining rate. This single change boosts the card's raw calculation power by over thirty times, making it perform like a high-end RTX 2080 Ti graphics card. The solution is simple to apply with a single installer for both Linux and Windows, and it also fixes slow data transfer speeds.
π @hackernewsgithubprojects
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π¦ agentsea/nautilo
Nautilo: Your Own AI Workspace
Nautilo is the self-hosted workspace that puts you in total control of your AI partners. Think of it as a digital room where you bring in your own people and their digital assistants. You give each assistant a unique personality, memory, and voice, then you all write and plan together. Because you run the server and choose the models, your data stays yours. It is not just a chatbot; it is a shared creative space where humans and machines work side by side on real projects. You get the power of AI without giving up your privacy.
π @hackernewsgithubprojects
Nautilo: Your Own AI Workspace
Nautilo is the self-hosted workspace that puts you in total control of your AI partners. Think of it as a digital room where you bring in your own people and their digital assistants. You give each assistant a unique personality, memory, and voice, then you all write and plan together. Because you run the server and choose the models, your data stays yours. It is not just a chatbot; it is a shared creative space where humans and machines work side by side on real projects. You get the power of AI without giving up your privacy.
π @hackernewsgithubprojects
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π¦ iapp-technology/openthai-systemone
OpenThai-SystemOne: The Tiny AI Brain
Classify customer complaints, score news topics, and control video games in real-time without generating a single word of text. That is the core promise of OpenThai-SystemOne, a tiny open-source model that answers specific questions about a situation in a single lightning-fast pass. It is built on a Qwen base but replaces the standard text-generation part with a specialized decision head that reads a situation and immediately outputs calibrated probabilities for your specific options. It handles Thai and English natively, making it incredibly useful for routing tickets, checking content safety, or even playing Doom by reading the game state.
π @hackernewsgithubprojects
OpenThai-SystemOne: The Tiny AI Brain
Classify customer complaints, score news topics, and control video games in real-time without generating a single word of text. That is the core promise of OpenThai-SystemOne, a tiny open-source model that answers specific questions about a situation in a single lightning-fast pass. It is built on a Qwen base but replaces the standard text-generation part with a specialized decision head that reads a situation and immediately outputs calibrated probabilities for your specific options. It handles Thai and English natively, making it incredibly useful for routing tickets, checking content safety, or even playing Doom by reading the game state.
π @hackernewsgithubprojects
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π¦ frontiercs/frontiersmith
FrontierSmith: AI-Generated Coding Problems
An AI system is now inventing brand new algorithmic puzzles that human programmers have never seen before. The project called Frontier Smith solves a major bottleneck in software training by synthesizing open-ended coding problems at scale. Instead of relying on a fixed collection of old textbook exercises, this pipeline uses large language models to create fresh, complex challenges and even writes the test scripts needed to verify if your code works. This is useful because it allows developers to practice on novel scenarios that mirror real-world engineering, rather than just memorizing standard solutions.
π @hackernewsgithubprojects
FrontierSmith: AI-Generated Coding Problems
An AI system is now inventing brand new algorithmic puzzles that human programmers have never seen before. The project called Frontier Smith solves a major bottleneck in software training by synthesizing open-ended coding problems at scale. Instead of relying on a fixed collection of old textbook exercises, this pipeline uses large language models to create fresh, complex challenges and even writes the test scripts needed to verify if your code works. This is useful because it allows developers to practice on novel scenarios that mirror real-world engineering, rather than just memorizing standard solutions.
π @hackernewsgithubprojects
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π¦ nokia-applied-research/anyjev
AnyJev Makes LLMs Tell the Truth
A standard language model will change its answer just because you rearranged the list of options. AnyJev from Nokia Applied Research fixes that by turning any open model into a decision maker that gives you a real probability you can actually trust. It works without training, using a clever trick to average out the modelβs bias so the confidence score means what it says. This lets you automatically handle a huge chunk of traffic safely instead of sending everything to a human. It is a neat way to make AI decisions reliable without touching the model weights, which is pretty clever for a tool that needs zero labels to start.
π @hackernewsgithubprojects
AnyJev Makes LLMs Tell the Truth
A standard language model will change its answer just because you rearranged the list of options. AnyJev from Nokia Applied Research fixes that by turning any open model into a decision maker that gives you a real probability you can actually trust. It works without training, using a clever trick to average out the modelβs bias so the confidence score means what it says. This lets you automatically handle a huge chunk of traffic safely instead of sending everything to a human. It is a neat way to make AI decisions reliable without touching the model weights, which is pretty clever for a tool that needs zero labels to start.
π @hackernewsgithubprojects
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π¦ beniedev/moonbite
Moonbite: The Memory Layer for AI Agents
Moonbite is the continuity layer that gives long-running AI agents a real sense of time. Most AI systems forget everything the moment a chat session ends, which makes them useless for work that spans days or weeks. Moonbite fixes this by adding a structured memory system that remembers past events, tracks current context, and decides when an action actually matters. It does not replace your AI assistant but sits quietly behind it, ensuring the model knows what happened yesterday before it speaks today. If you are building agents that need to stick around, this is the missing piece that keeps them coherent.
π @hackernewsgithubprojects
Moonbite: The Memory Layer for AI Agents
Moonbite is the continuity layer that gives long-running AI agents a real sense of time. Most AI systems forget everything the moment a chat session ends, which makes them useless for work that spans days or weeks. Moonbite fixes this by adding a structured memory system that remembers past events, tracks current context, and decides when an action actually matters. It does not replace your AI assistant but sits quietly behind it, ensuring the model knows what happened yesterday before it speaks today. If you are building agents that need to stick around, this is the missing piece that keeps them coherent.
π @hackernewsgithubprojects
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π¦ pinto0309/ocec
OCEC: The 112 KB Eye Detector
The tiniest eye detector in the wild is a mere one hundred and twelve kilobytes, yet it judges if eyes are open or closed in less than a millisecond. Named OCEC, this ultra-lightweight model solves a specific problem: most computer vision tools are too heavy for real-time tracking on low-power devices. By analyzing tiny twenty-four by forty pixel crops, the project provides a training pipeline and several model sizes that balance speed and accuracy. This is useful for anyone building responsive interfaces or accessibility tools where processing power is limited.
π @hackernewsgithubprojects
OCEC: The 112 KB Eye Detector
The tiniest eye detector in the wild is a mere one hundred and twelve kilobytes, yet it judges if eyes are open or closed in less than a millisecond. Named OCEC, this ultra-lightweight model solves a specific problem: most computer vision tools are too heavy for real-time tracking on low-power devices. By analyzing tiny twenty-four by forty pixel crops, the project provides a training pipeline and several model sizes that balance speed and accuracy. This is useful for anyone building responsive interfaces or accessibility tools where processing power is limited.
π @hackernewsgithubprojects
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π¦ pulse-energy-eu/slopshape
SlopShape: How to Spot AI Writing
SlopShape lets you spot AI-written business articles without reading a single word. Instead of looking for specific keywords or grammar errors, this research project measures the hidden structural habits of text. The team compared thousands of real human blogs against AI versions written by five different models. They found that AI posts follow predictable patterns in how they organize ideas, which remain visible even if you rewrite the sentences. This tool creates a reliable way to verify content authenticity on the web. If you rely on online articles for business decisions, knowing how to filter out machine-generated filler is becoming an essential skill for staying informed.
π @hackernewsgithubprojects
SlopShape: How to Spot AI Writing
SlopShape lets you spot AI-written business articles without reading a single word. Instead of looking for specific keywords or grammar errors, this research project measures the hidden structural habits of text. The team compared thousands of real human blogs against AI versions written by five different models. They found that AI posts follow predictable patterns in how they organize ideas, which remain visible even if you rewrite the sentences. This tool creates a reliable way to verify content authenticity on the web. If you rely on online articles for business decisions, knowing how to filter out machine-generated filler is becoming an essential skill for staying informed.
π @hackernewsgithubprojects
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π¦ angerybob/s2-moe
How S2 MoE Makes AI Faster on Small Chips
S2 MoE is the inference engine that finally makes large AI models run fast on small, power-hungry chips. It solves a major bottleneck where running these complex models on devices like the Jetson Orin is usually too slow because of limited memory. The key trick is a smart guessing game where the model predicts its own next words, but only keeps the guesses that actually save time. By carefully choosing which parts of the model to use, it avoids wasting energy on useless calculations. This means you get speeds up to five times faster than the standard approach.
π @hackernewsgithubprojects
How S2 MoE Makes AI Faster on Small Chips
S2 MoE is the inference engine that finally makes large AI models run fast on small, power-hungry chips. It solves a major bottleneck where running these complex models on devices like the Jetson Orin is usually too slow because of limited memory. The key trick is a smart guessing game where the model predicts its own next words, but only keeps the guesses that actually save time. By carefully choosing which parts of the model to use, it avoids wasting energy on useless calculations. This means you get speeds up to five times faster than the standard approach.
π @hackernewsgithubprojects
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π¦ androoagi/starnet
Starnet: A Pixel Art Space Station for Real AI Agents
Your AI agents are no longer confined to a chat window. In StarNet, they live in a pixel art space station that mirrors their actual activity in real time. Every room represents a specific task, and every object you place grants a concrete permission. This visual layout is not decoration; it is the exact workflow your agents execute. You bring your own model keys, so your data stays local, while the agents perform genuine work with real tools and costs. You can run multiple specialized agents concurrently, each with its own workspace. The station acts as a live dashboard for your digital crew.
π @hackernewsgithubprojects
Starnet: A Pixel Art Space Station for Real AI Agents
Your AI agents are no longer confined to a chat window. In StarNet, they live in a pixel art space station that mirrors their actual activity in real time. Every room represents a specific task, and every object you place grants a concrete permission. This visual layout is not decoration; it is the exact workflow your agents execute. You bring your own model keys, so your data stays local, while the agents perform genuine work with real tools and costs. You can run multiple specialized agents concurrently, each with its own workspace. The station acts as a live dashboard for your digital crew.
π @hackernewsgithubprojects
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π¦ alban1911/rose
Rose: How to Get Every Skin in League of Legends for Free
You can play League of Legends with every single skin in the game without spending a cent, and it is all thanks to an open-source tool called Rose. It works by quietly running in the background, watching your champion select screen, and then swapping in the skin you picked the exact moment the game loads. The best part is not just seeing the skins, but the fact that it lets you share them with your friends in real-time through a cloud relay. Your entire lobby can see the same custom models simultaneously, turning your match into a coordinated fashion show.
π @hackernewsgithubprojects
Rose: How to Get Every Skin in League of Legends for Free
You can play League of Legends with every single skin in the game without spending a cent, and it is all thanks to an open-source tool called Rose. It works by quietly running in the background, watching your champion select screen, and then swapping in the skin you picked the exact moment the game loads. The best part is not just seeing the skins, but the fact that it lets you share them with your friends in real-time through a cloud relay. Your entire lobby can see the same custom models simultaneously, turning your match into a coordinated fashion show.
π @hackernewsgithubprojects
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π¦ codezeno/claude-code-usage-monitor
Claude Code Usage Monitor: Never Hit Your AI Limit Again
Claude Code Usage Monitor is the Windows taskbar widget that finally tells you exactly when your AI limits reset. If you live in coding agents, you know the panic of hitting a wall mid-task, but this little tool sits quietly in your system tray, reading your local logins to track usage for Claude, Codex, Cursor, and Grok without sending your data to a single third-party server. The coolest part is that it counts down your remaining allowance in real time, so you can pace your prompts like a pro gamer managing stamina. It is completely free, open source, and works on Windows ten or eleven.
π @hackernewsgithubprojects
Claude Code Usage Monitor: Never Hit Your AI Limit Again
Claude Code Usage Monitor is the Windows taskbar widget that finally tells you exactly when your AI limits reset. If you live in coding agents, you know the panic of hitting a wall mid-task, but this little tool sits quietly in your system tray, reading your local logins to track usage for Claude, Codex, Cursor, and Grok without sending your data to a single third-party server. The coolest part is that it counts down your remaining allowance in real time, so you can pace your prompts like a pro gamer managing stamina. It is completely free, open source, and works on Windows ten or eleven.
π @hackernewsgithubprojects
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π¦ mvschwarz/openrig
Openrig: Two AIs, One Brain
Openrig is the developer tool that makes two different AIs work as one team. It runs Claude Code and Codex side-by-side, coordinating them to handle complex coding tasks together. This solves the problem of AI agents working in silos, creating a unified system that can plan, build, and review code in a single workflow. If you want to see how multiple AIs can actually collaborate instead of just chatting, this is the project to watch.
π @hackernewsgithubprojects
Openrig: Two AIs, One Brain
Openrig is the developer tool that makes two different AIs work as one team. It runs Claude Code and Codex side-by-side, coordinating them to handle complex coding tasks together. This solves the problem of AI agents working in silos, creating a unified system that can plan, build, and review code in a single workflow. If you want to see how multiple AIs can actually collaborate instead of just chatting, this is the project to watch.
π @hackernewsgithubprojects
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π¦ danielravina/stemkit
StemKit Splits Songs Into Stems Locally
StemKit lets you pull every instrument out of a YouTube song and play them back individually, all without sending your files to the cloud. This desktop app runs entirely on your computer, meaning your private music library never leaves your machine, and you do not need any special accounts or internet keys to start using it. You simply search for a track or paste a link, and the software uses local processing to separate the vocals, drums, and bass into distinct tracks.
π @hackernewsgithubprojects
StemKit Splits Songs Into Stems Locally
StemKit lets you pull every instrument out of a YouTube song and play them back individually, all without sending your files to the cloud. This desktop app runs entirely on your computer, meaning your private music library never leaves your machine, and you do not need any special accounts or internet keys to start using it. You simply search for a track or paste a link, and the software uses local processing to separate the vocals, drums, and bass into distinct tracks.
π @hackernewsgithubprojects
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π¦ derv82/wifit3
WiFi T3: The Cross-Platform USB WiFi Tool
Wifit3 is the cross-platform tool that runs entirely from a USB dongle. It turns a small plug-in radio into a powerful scanner and cracker for local networks. The system talks directly to the hardware, so it works on Windows, macOS, and Linux without needing special drivers. This design removes the usual friction of setting up complex capture tools. You simply plug in the device, and the software handles the rest. It supports a wide range of common chips found in cheap USB adapters. This makes it a practical choice for anyone who wants to audit their own wireless setup.
π @hackernewsgithubprojects
WiFi T3: The Cross-Platform USB WiFi Tool
Wifit3 is the cross-platform tool that runs entirely from a USB dongle. It turns a small plug-in radio into a powerful scanner and cracker for local networks. The system talks directly to the hardware, so it works on Windows, macOS, and Linux without needing special drivers. This design removes the usual friction of setting up complex capture tools. You simply plug in the device, and the software handles the rest. It supports a wide range of common chips found in cheap USB adapters. This makes it a practical choice for anyone who wants to audit their own wireless setup.
π @hackernewsgithubprojects
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π¦ ilkerzg/storycast
Storycast turns any topic into an animated movie
Turn any topic into a fully animated short film with Storycast. Just type in a subject, pick a character, and the platform handles everything from writing the script to animating the visuals and adding the voiceover. It creates a complete, narrated movie in various artistic styles and languages right in your browser. This is the perfect tool for anyone who wants to explain complex ideas simply or just make cool videos without hiring a team. It is a surprisingly simple way to turn plain text into engaging visual stories.
π @hackernewsgithubprojects
Storycast turns any topic into an animated movie
Turn any topic into a fully animated short film with Storycast. Just type in a subject, pick a character, and the platform handles everything from writing the script to animating the visuals and adding the voiceover. It creates a complete, narrated movie in various artistic styles and languages right in your browser. This is the perfect tool for anyone who wants to explain complex ideas simply or just make cool videos without hiring a team. It is a surprisingly simple way to turn plain text into engaging visual stories.
π @hackernewsgithubprojects
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π¦ liuziyu77/valen
Valen: The AI That Decides Faster Than It Thinks
Valen lets you train a multimodal model that makes split-second decisions by looking at text, images, and video. It solves the problem of slow, overthinking AIs that take too long to answer simple questions. This is a System One model, meaning it reacts instantly rather than reasoning through every step. Itβs built on a Qwen backbone but uses a shared decision head to score options directly without generating long answers. The coolest part? It solved a Sokoban puzzle in just over one second, while a much larger model took nearly three minutes to fail. Itβs a tiny, fast brain for real-time software.
π° https://news.ycombinator.com/item?id=49838068
π @hackernewsgithubprojects
Valen: The AI That Decides Faster Than It Thinks
Valen lets you train a multimodal model that makes split-second decisions by looking at text, images, and video. It solves the problem of slow, overthinking AIs that take too long to answer simple questions. This is a System One model, meaning it reacts instantly rather than reasoning through every step. Itβs built on a Qwen backbone but uses a shared decision head to score options directly without generating long answers. The coolest part? It solved a Sokoban puzzle in just over one second, while a much larger model took nearly three minutes to fail. Itβs a tiny, fast brain for real-time software.
π° https://news.ycombinator.com/item?id=49838068
π @hackernewsgithubprojects