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πŸ“¦ leggedrobotics/hoi-retarget

HOI-Retarget: Making Robots Copy Human Grasps

A humanoid robot can now pick up a chair exactly where a human held it, not just copy the arm angle. This tool takes a video of a person moving an object and calculates the precise grip point on the object itself. It then solves a math puzzle to find the only way the robot's joints can reach that exact spot without breaking its limits. This is huge because it transfers real-world dexterity to machines, ensuring robots grasp items securely just like we do. Instead of guessing where to grip, the robot knows exactly where the human's fingers were.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ lvsean/reviv4d

ReViV: 4D Reconstruction from One Camera

ReViV watches a single video from your own perspective and reconstructs the entire scene in three dimensions. It figures out how far away objects are, how the camera moved, where you are looking, and exactly how your hands and body are moving. Most tools only handle one of these tasks, but this project does all of them at the same time in a single pass. It takes a flat video clip and turns it into a rich, moving model of reality. This is a big step for virtual reality and robotics. You get a full understanding of the world from just what you see.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ nuvexnetwork/nuvex

Nuvex: On-Chain Randomness Without the Trust

Nuvex lets you ask a Solana program to hand you cryptographically verifiable randomness directly on the blockchain. You submit a request, lock up some stake, and wait for a node to send back a proof that nobody faked the numbers. It is essentially a trustless lottery that runs entirely inside the ledger, removing the need to guess if the data source is lying to you. The whole thing is still in early development, so it is not ready for real money yet. But the core idea is genuinely clever.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ jiarui-0410/real-time-recommendation-analytics

Real-Time Recommendation Analytics

Real-time recommendation analytics is the retail platform that finally proves broader discovery matters more than perfect accuracy. Built on two point seven six million ecommerce events, it ingests user behavior through Kafka and Spark, then trains a neural model that learns to find items your typical popularity list completely misses. While the system did not beat simple popularity in raw hit rate, it expanded catalog coverage by over eighty two times, showing that finding new products is often harder than finding the most popular ones. The result is an honest look at how modern recommendation systems actually work in practice.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ datalab-to/lift

lift: The Model That Only Speaks JSON

lift is a nine billion parameter vision model that looks at a document and returns only the specific data you ask for, guaranteed to be valid. You pass a simple blueprint of what fields you need, and it extracts exactly that into clean structured data, ignoring everything else. It handles multi page documents in a single pass, pulling values that span pages without breaking context. This is huge because you stop wrestling with messy OCR output or hallucinated text. You get precise, machine readable data that matches your schema perfectly. It turns any messy scan into usable information instantly.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ kutuyyy/leaked-system-prompt-ai

leaked system prompt ai

Leaked System Prompt AI is the open archive that finally exposes the hidden instructions steering your favorite chatbots. This project collects the actual system prompts from major platforms like OpenAI, Anthropic, and Google, revealing the exact rules that dictate how these models behave. It shows you the specific guidelines that prevent the AI from apologizing for simple questions or the strict security boundaries that stop it from writing harmful code. By reading these documents, you realize the AI is not magic, but a complex set of rules you can actually see. The next time a bot refuses to help, you will know exactly why.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ kodama-technology/chat_ui

Chat_UI: The 100KB LLM Chat Client

Chat_UI is the chat client that strips away every unnecessary layer. It proves you can build a fully functional interface for talking to large language models using just two simple files that weigh less than one hundred kilobytes. No complicated server setup, no heavy installation packages, and no hidden dependencies are required to make it work. You simply download these two files, tweak the settings to match your preferred model, and open the main file in any standard web browser. The result is a remarkably fast tool that handles images and text, manages conversation history, and connects to almost any standard API format.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ finna/project-manager-skill

ChatGPT Just Got a Project Manager

Hand over your entire app build to an A I and trust it to manage itself. That is exactly what the project manager skill does. It turns ChatGPT into a disciplined project lead that breaks your big vision into tiny, testable steps. But here is the cool part. It refuses to take the developer’s word for it. Instead, it independently tests the actual build to make sure it works before calling it done. It keeps a private, living record of every decision, screenshot, and fix. No more guessing if your app is ready. You just get a verified, working product.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ mizorewww/x_gift_bot

x gift bot: The Automated X Premium Gift Tool

x gift bot is the command line tool that automates buying and redeeming X Premium subscriptions for others. It solves the friction of manually logging into the site and entering payment details by using a secure, encrypted vault to store your credentials and billing info. The standout feature is its ability to run a headless browser through a proxy, allowing it to complete the entire checkout process in the background without you needing to watch a window. This makes it a powerful utility for developers who want to manage gifts programmatically.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ uehaj/sys1grep

Sys1Grep: Grep That Understands Meaning

Stop searching for words and start searching for intent. Sys1Grep turns your standard grep into a semantic engine that understands what lines actually mean, not just which keywords appear. It works by asking an AI model to score every line against a concept, like whether a customer is angry or asking for a refund. The coolest part is that it works across languages. You can search a file full of Japanese text using an English phrase, or vice versa, with zero translation needed. It even uses logic to combine meanings, so you can find network errors that are not retries.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ oil-oil/oil-ui

Oil-UI: Stop Generating Boring AI Designs

Push your AI agent to design interfaces that actually look good, not just average. Oil-UI solves the problem of generic, safe layouts by forcing the model to break out of its default habits. It makes the AI study top-tier products, pick specific design engines, and create distinct visual directions that are genuinely different from each other. Instead of getting five copies of the same boring template, you get real variations you can actually choose from. It forces the software to think about structure and style before it starts coding, so the final pages have personality and intent.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ whirlchat/whirl

Whirl: The AI Chat App That Actually Remembers

Whirl is the open-source AI chat app that actually remembers who you are. Instead of starting from zero every time, it keeps long-term notes about your preferences and projects right there in the side panel. The coolest part is that it lets you swap between any top model in one single conversation. You can even connect your own tools so the AI can do real work for you. The whole thing runs on a fast, transparent stack that you can host yourself. It is a friendly place where your chat history finally makes sense.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ kangkungmozzarella/kantor-ai

Kantor AI: Your 3D Office Model

Kantor AI is the interactive 3D office model that actually gets work done. It builds a four-story, paper-craft style building with thirteen chibi characters who walk, talk, take lunch, and even head to prayer time on a schedule. The coolest part is the task system. You can assign real jobs to specific team members, and if you connect an AI agent, it drafts the work for you to review. It feels like managing a tiny, living diorama where the furniture is real and the employees have routines.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ codegirl-007/jevlint

Jevlint: The Linter That Reads Your Mind

Turn your personal coding standards into a linter that actually understands your intent. Jevlint doesn't rely on rigid, static rules that miss the big picture. Instead, it extracts your code and asks an AI to judge if it truly matches your specific taste. The coolest part? You define the vibe in plain English, like saying 'never join database records in the app logic.' It checks every function in parallel to ensure your codebase stays consistent with your personal style, not just the compiler's. It is a clever way to codify your code taste without writing thousands of lines of complex logic. Give your code the personality it deserves.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ luki-1/arkweb

Swing as Spider-Man in Batman's Gotham

ArkWeb lets you swing as Spider-Man through the streets of Batman: Arkham Knight. This experimental mod runs both games simultaneously, streaming Gotham's buildings into Spider-Man's physics engine so he can actually grab them. You control his iconic movement with a game controller while looking at Arkham Knight, with Spider-Man's frame overlaid where Batman would be. It is a wild, rough-edged research project that turns two separate worlds into one seamless playground. If you love seeing impossible ideas made real, this is the kind of creative hacking you should check out.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ ethanplusai/codex-on-crack

Codex on Crack: Multi-Model Orchestration

Codex on Crack lets you direct a team of different AI models from a single chat, where one model handles the big-picture planning while others execute the heavy lifting. It solves the headache of juggling separate tools for coding, image generation, or browsing by letting you delegate tasks automatically. The standout feature is a live activity panel that lets you watch agents work in real time and send feedback without stopping the process. It’s a practical way to combine your best AI tools into one coordinated workflow. If you want more control over how AI builds your projects, this tool keeps the work organized and visible.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ blendi-remade/agentcraft

AgentCraft: Your Coding Team Lives in Minecraft

AgentCraft is the Minecraft mod that turns your coding team into a walkable studio. Instead of staring at a wall of terminal text, you watch six pixelated agents physically work in a shared office space. The lead agent breaks your goals into tasks, and the workers sit at their desks, coding in separate branches while you watch their monitors stream the live changes. The most surprising part is how safe it is; the agents can never touch your main code or push changes without your explicit approval. You simply walk up to the podium, review the real code changes, and click merge when you are ready.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ vibra-ingenn/janus

Janus: Your AI, No Cloud

Run your own AI model right on your machine with Janus. This single Go binary acts as a local server, speaking the same language as OpenAI’s API but using your own hardware. No Python, no Docker, and no cloud bills. You just point it at a model file and boom, your local graphics card handles the heavy lifting. It is the ultimate way to keep your data private and your setup clean. If you want to hack with AI without the corporate overhead, this is your new favorite tool. Give it a spin and reclaim your computing power.

πŸ“° https://news.ycombinator.com/item?id=49926773

πŸ†” @hackernewsgithubprojects
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πŸ“¦ mixidthesilly/refract

Refract: Play Quest VR Games on Your Windows PC

Refract is the experimental bridge that lets you run Android virtual reality games directly on a standard Windows computer. Instead of needing a separate headset, this tool spins up a hidden Android emulator in the background to run the app, while sending the graphics to your PC and the controller inputs back. It handles the tricky translation of the phone’s processor instructions so the game runs smoothly on your desktop hardware. If you want to explore the growing world of PC based VR without buying a dedicated headset, this project is a fascinating look at how software can make hardware work together in unexpected ways.

πŸ“° https://news.ycombinator.com/item?id=49915963

πŸ†” @hackernewsgithubprojects
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πŸ“¦ musicastudio/fsvr

FSVR Recreates a 1998 Yamaha Synth

FSVR is the software synth that brings the 1998 Yamaha FS1R to your computer with unmatched accuracy. This project rewrites the original hardware logic in C++, ensuring every sound matches the real device almost perfectly. It supports all standard plugin formats and runs on Windows, Mac, and Linux. The team measured the actual hardware to guarantee fidelity, leaving only the effects slightly approximate. If you love vintage synthesizers, this is the definitive digital version.

πŸ†” @hackernewsgithubprojects