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πŸ“¦ beeregg2001/komorebi

Komorebi: The Ultimate Android TV Streaming Client

Komorebi is the Android TV client that turns your home server into a premium television experience. It connects to backends like KonomiTV or EPGStation to stream live channels and recorded shows directly to your living room screen. What makes it stand out is the advanced picture-in-picture mode, which lets you watch a program in a small window while you browse your recording library or check the guide. This is the kind of multitasking you normally only get with high-end dedicated hardware. If you have a home media server, this app brings that power to your Android or Fire TV stick with a polished, remote-friendly interface.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ dashersw/coyopedal

CoyoPedal: Play Neural Amp Models on a Tiny ESP32 Chip

Coyopedal is the standalone guitar effects processor that finally runs full-size neural amp modeler captures on a cheap, tiny microchip. This clever project squeezes complex machine learning models directly onto a modest ESP thirty-two chip, processing high-quality forty-eight kilohertz audio with incredibly low latency. You can load your own amp captures straight from a micro SD card, plug in a standard USB audio interface, and control your entire rig using a gorgeous touchscreen interface. Even better, you can try the exact same firmware in your web browser right now without buying any hardware. Grab your guitar, load up your favorite virtual amp, and start playing.

πŸ“° https://news.ycombinator.com/item?id=49852600

πŸ†” @hackernewsgithubprojects
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πŸ“¦ kisasexypantera94/varmint

Varmint: Play PC Games on Apple Silicon

Varmint is the lightweight virtual machine that finally lets you play native Windows and Linux games directly on Apple Silicon Macs. Instead of relying on heavy emulation layers that often struggle with performance, this project boots a full Linux environment with hardware-accelerated graphics. The standout feature is its ability to translate DirectX and Vulkan calls into Metal, Apple’s native graphics system. This means titles like The Witcher 3 or Counter-Strike 2 can run with impressive fluidity and low latency. By leveraging the underlying Mac hardware efficiently, it provides a surprisingly stable platform for gaming without the usual overhead.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ ukr8b3g-cmyk/comfyui-h3-continuum

ComfyUI H3 Continuum: Long Video Generation

ComfyUI H3 Continuum is the video sampler that lets you generate minutes of footage without restarting your entire project. This tool plugs into your existing setup to handle long-form audio and video generation by breaking the process into smaller, manageable segments. The standout feature is its ability to save your work mid-generation. If your computer crashes or you want to tweak a specific section, you can resume exactly where you left off or regenerate just that part without losing the rest of your timeline. It ensures every segment blends smoothly with the previous one, keeping your characters and scenes consistent throughout the entire clip.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ tscmoo/pluto

Pluto: The StarCraft AI That Plays Itself

Pluto is the StarCraft Brood War AI that proves you do not need a human to teach a computer how to play. One single neural network, trained entirely by playing itself, handles the entire game from base building to unit control for all three races, with zero scripted shortcuts. The coolest part is that it actually won a major AI competition using just a regular computer, no graphics card required, and it even tells you in chat if your machine is too slow to keep up. It is a fascinating look at how self-play reinforcement learning works in a real, classic game setting.

πŸ“° https://news.ycombinator.com/item?id=49849117

πŸ†” @hackernewsgithubprojects
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πŸ“¦ arpahls/skillware

Skillware: Give Your AI Agents Real Skills

Equip your AI agents with real, working abilities instead of just chatting about them. Skillware is a Python framework that packages specific tasks into self-contained bundles, giving your models the actual code and rules needed to finish jobs like sending emails or checking financial data. The coolest part is that these skills work across different AI platforms, so you build a capability once and plug it into any system without rewriting your prompts. It shifts the focus from telling the AI what to do to giving it the tools to actually do it.

πŸ“° https://news.ycombinator.com/item?id=47468104

πŸ†” @hackernewsgithubprojects
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πŸ“¦ brainbrick-trades/the-quant-trading-vault

The Quant Trading Vault: 5,800 Strategies

Explore over five thousand eight hundred detailed trading blueprints in a single, massive archive. This repository solves the problem of scattered information by compiling distinct technical approaches into one searchable collection. Instead of guessing which moving averages or volatility indicators work, you can review specific, named strategies that combine tools like the RSI and MACD with unique entry rules. It is a reference library for developers and traders who want to see how different combinations of technical signals are structured.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ zhuyansen/awesome-claude-video-skills

180 Ways Your AI Can Make Video

Claude Code can now render actual video files from a single command line. The repository called Awesome Claude Video Skills curates one hundred and eighty distinct tools that teach coding agents to direct, edit, and export movies. It solves the problem of fragmented documentation by organizing these skills into a single, searchable list. Each entry is security graded, so you can pick the right toolkit without worrying about shaky code. The real value here is having a curated map of how language models can become creative video producers. You get a clear starting point for your own AI filmmaking experiments.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ dandacompany/deskrpg

The Office Where Robots Work

Turn your AI tools into a bustling, three-dimensional workplace where digital colleagues actually sit at desks and collaborate in real time. Desk RPG transforms your software profiles into interactive characters who hold meetings, chat, and tackle tasks together inside a shared virtual office. It solves the problem of managing disconnected AI agents by putting them all in one place, letting you see who is working on what and how they communicate. You can even assign them recurring jobs or watch them update their status boards live. It is like giving your automated workers a physical headquarters to share.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ tgeorgiadis/quiver-launcher

Quiver Launcher: Your Personal App Store

Quiver Launcher is the desktop manager that turns scattered GitHub releases into a single, organized library. Instead of hunting for download links and checking for updates manually, you subscribe to community app lists and let the software handle the rest. It downloads, installs, and keeps your favorite tools and games up to date automatically. This means you never have to think about version numbers or missing files again. Just browse your library, click to run, and stay focused on the work. It brings order to the chaos of open source software, making it easy to discover, install, and manage apps from one simple place.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ nhahan/webgpt

WebGPT: Delegate to ChatGPT

Offload heavy coding tasks to your web browser without burning through your premium API credits. WebGPT acts as a bridge, letting your local coding assistant send specific jobs to the free, signed-in ChatGPT interface you already use daily. Instead of manually copying and pasting code, the system automatically opens a private chat, assigns the task, and waits for the result while you keep working. It is a clever workaround that turns your existing web session into a parallel worker, saving your expensive quota for the most complex problems that only your main assistant can handle.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ mexicat/pdoom-video

pdoom-video

pdoom-video is the generative music video project that renders a high-definition experience entirely through code. Created in collaboration with AI, this engine coordinates typography, 3D scenes, and visual post-processing directly in the browser, matching offline exports perfectly. By analyzing vocal stems and drum beats beforehand, the system precisely anchors animations and lyric layouts to the song's exact timeline. The project's offline renderer drives headless Chrome to capture raw frames and compile them with fluid motion blur. It is a fantastic showcase of code-driven art, giving creators a complete blueprint for deterministic, web-based video production.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ vercel-labs/issue-graph

Issue Graph: See Your Whole Backlog

Trace the tangled web of linked GitHub issues and pull requests before you break anything. Issue Graph connects every related ticket so you can see exactly what is already fixed, what is still broken, and where the real work sits. It turns a messy backlog into a clear map, showing you which changes clash and which follow-ups are still open. Instead of guessing if your fix covers everything, you get a full picture of the impact before you start coding. It is a smart way to avoid duplicate work and merge with confidence. You stop jumping between tabs and start seeing the whole story.

πŸ“° https://news.ycombinator.com/item?id=49836381

πŸ†” @hackernewsgithubprojects
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πŸ“¦ devploit/geminihunter

GeminiHunter: Exposed AI Keys

GeminiHunter hunts down Google Gemini API keys left exposed in public websites and Android apps. It scans JavaScript files, source maps, and archived web pages to find these secrets, then actually tests if they still work. The coolest part is how it handles blocked keys. If a key is restricted, the tool tries different request variations to see if it can still access the service. This gives security pros a real picture of risk instead of just a list of strings. It saves you from guessing and helps you patch leaks fast.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ cordum-io/cordum

Cordum

Enforce strict safety policies and human approvals on autonomous AI agents before they execute risky terminal commands or modify production code. Cordum acts as an active firewall designed specifically for AI workflows, stepping in to halt dangerous tool calls and system operations until a human grants permission. It intercepts agent actions in real time, verifying each request against your custom security rules while keeping an immutable, tamper-proof audit trail of everything the AI attempted to do. It is like having a reliable co-pilot watching your AI's every move, keeping your infrastructure safe while letting automation run with confidence.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ luongnv89/skills

Skills

Skills is the command line library that finally brings standardized, expert workflows to your favorite AI coding assistants. Instead of relying on random, unpredictable prompts that give you different results every time, this tool lets you inject structured, version-controlled playbooks directly into assistants like Claude Code, Cursor, or Copilot with a single command. It comes with a massive catalog of standalone blueprints for everything from running deep code reviews and modernizing legacy codebases to setting up automated shipping pipelines. You can easily install exactly what you need to make your AI assistant follow rigorous, repeatable steps every single run.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ nvlabs/kda

kda

kda is the development template that helps coding agents write high performance graphics and computing code. Instead of letting an artificial intelligence model guess its way through complex hardware instructions, this framework establishes a strict feedback loop of research, planning, testing, and profiling. The agent inspects your workspace, drafts a clear step by step plan, and refines the code in small iterations based on real hardware performance data. This structured approach takes the chaos out of programming specialized processors, turning unpredictable models into reliable assistants that write optimized code backed code with proven benchmark results.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ stacklok/mecatl

mecatl

mecatl is the open-source agent harness that finally lets you run powerful AI workflows safely on your own infrastructure. Instead of sending all your private data to a black-box cloud, this framework lets you run provider-agnostic loops on your own local machine or right inside your Kubernetes clusters. It solves the massive security headache of modern AI systems by giving you durable state, granular permissions, and isolated micro-virtual machine execution environments that you fully control. You can build complex, multi-agent developer teams with built-in guardrails and structured human approval gates, ensuring your automated assistants never run wild with your code.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ emir/claude-s40

Chat with Claude on a 2007 Nokia

A phone from 2007 can now chat with Claude, complete with web search results displayed on a tiny monochrome screen. The project, known as Claude S40, is a custom app built for old Nokia devices that can't handle modern secure connections. It runs a small server in the cloud to translate the phone's ancient security handshake into something Claude understands. The coolest part? The phone acts as a simple remote, typing your question on a physical keypad while the server handles the heavy lifting. You get full chat history, calendar reminders, and even weather updates, all fitting on a screen the size of a matchbox.

πŸ“° https://news.ycombinator.com/item?id=49868631

πŸ†” @hackernewsgithubprojects
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πŸ“¦ naiveai-labs/naive-n0.5-flash

naive-n0.5-flash

An open-weight AI model with over three hundred billion parameters can now process a massive one-million-token context window without using any full-attention layers. The naive-n0.5-flash model achieves this feat by blending sliding-window attention with a highly efficient sparse attention mechanism, keeping the memory footprint manageable even when handling massive codebases. Built specifically for coding and AI research, it bypasses the heavy decoding overhead that usually plagues long-context processing. By combining this smart architecture with custom inference systems, developers can run incredibly deep research tasks at lightning speeds. It is a brilliant example of how clever design can make massive AI research tools accessible to the open-source community.

πŸ†” @hackernewsgithubprojects
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πŸ“¦ ucashier/ucashier-usdt-payment

ucashier-usdt-payment

YouCashier is the stablecoin payment infrastructure that lets businesses accept and send digital currencies directly through their existing websites without rebuilding their backend. Instead of routing customer payments through a platform pool, this system acts as a smart coordinator that watches the blockchain and sends transactions directly to your own self-custodial wallet. It handles the complex work of tracking networks like Tron and Ethereum, matching payments to order numbers, and managing timeouts. You can also use the same dashboard to handle outbound payouts like user withdrawals or supplier settlements. It is a practical way to add crypto payments to any global business.

πŸ†” @hackernewsgithubprojects