Stars
➖ high level way to create menubar desktop applications with electron
A macOS menu-bar app that dresses your windows in knitted borders.
🚀 The easiest way to get started with Electron
The skillbook for recursive self-improvement (RSI). NVIDIA's latest proof, unpacked with timeless engineering. Distilled from the OpenAI harness engineering hackathon winner's zero-touch method.
Modular cross-runtime WebGPU library for shaders, 3D scenes, GPU tensors, neural networks, and math viz
Lightweight JavaScript library that predicts user intent based on mouse movements and keyboard navigation. Perfect for smart prefetching. Also works for mobile!
Rebuild the object in a reference image as a code-only, procedural, quality-gated, animation-ready Three.js model. Token-efficient image-to-3D.
a node-based graphic design tool
Unlimited OCR Works: Welcome the Era of One-shot Long-horizon Parsing.
Inspect, annotate, and give feedback on any live interface.
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
Create and animate hand-drawn annotations on a web page
Fast, accurate & comprehensive text measurement & layout
Build ultra fast, tiny, and cross-platform desktop apps with TypeScript, Zig, Rust, Go, or Odin.
Captures your web app's complete development timeline - server logs, browser events, console messages, network requests, and automatic screenshots - in a unified, timestamped feed for AI debugging.
어느 플랫폼에서든 사용할 수 있는 system-ui 대체 글꼴 | A system-ui alternative font for all cross-platform
Pronounceable and organic words that feel natural.
WebAssembly build of LibRaw, a library for reading RAW iamges.
LibRaw is a library for reading RAW files from digital cameras
A browser-based 3D CAD for AI-assisted, parametric and direct modeling.
JavaScript/TypeScript-native, low-boilerplate, object-capability RPC system
Import C++ and Rust like JavaScript modules (WebAssembly & React Native)
Improving Deep Learning-based Korean Sign Language Recognition Performance via Landmark Optimization