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The ColorZilla for stacks. Click any repo, get instant stack info. React, n8n, Monaco & more. No cloning, no waiting. One-click stack extraction for developers. Grab any repo as a .faf.txt report - human-readable summary with full AI-ready context. ⚡ HOW IT WORKS Browse to any GitHub repo or StackBlitz project. Click to extract the stack (React, Vue, TypeScript, etc.). Enter a project name to create a folder, or download directly. Each .faf.txt file includes a human-first summary (description, stars, tech stack, languages) plus complete extraction data for AI tools. 🎯 KEY FEATURES - Rich metadata extraction (repo description, topics, stars, license, languages) - Human-first summary at top, full data below - Project folder creation with custom names - Framework and dependency detection - Fast extraction (<10ms - actually Fast AF!) - Works with GitHub, GitLab, StackBlitz, Monaco, and code editors - 100% private - runs locally, zero network requests 🤖 UNIVERSAL COMPATIBILITY The .faf.txt format works with Claude, Codex, Cursor, Gemini CLI, Warp, or any AI tool. Human-readable for developers, structured for AI. The .faf format is becoming the universal standard for AI context - like package.json for dependencies. 🔒 PRIVACY FIRST Everything runs locally. Your code never leaves your machine. No tracking, no accounts required. 📊 USE CASES - Scaffold new projects from GitHub templates - Grab stacks for rapid prototyping - Share context with AI coding assistants - Understand and learn new frameworks Free forever. Advanced features available through CLI and MCP integration. Learn more: https://faf.one About .faf Foundational AI-context Format Universal, shareable, persistent project context for AI on-demand ⚡️FAST AF Version 1.6.0 faf innit 🇬🇧
Oct 29, 2025
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.