⚡ Free · No login · Runs in your browser

Know a GitHub repo
in seconds, not hours.

Paste any repository or profile. Repodest gives you a health score, language breakdown, file explorer, commit insights and fun trophies — then packs the whole thing into an LLM-ready digest you can feed to ChatGPT, Claude or Gemini.

Try:

Paste

Any repo URL, owner/repo, or username.

Explore

Health score, languages, files, activity — all in one dashboard.

Feed your AI

Pick files, hit generate, copy the digest into any LLM chat.

🩺

Health Score

License, README, tests, CI, docs, freshness — 10 weighted checks distilled into one honest number.

🤖

LLM Digest

The Gitingest trick, client-side. Select files, get a clean prompt with a token estimate. Copy or download.

🗂️

File Explorer

Full tree visualizer with sizes, type distribution and the heaviest files in the repo.

📊

Deep Stats

Language bytes, dependency scan across 8 ecosystems, commit activity and top contributors.

🏆

Fun Mode

Every repo gets a personality, a roast, and trophies — Wrapped-style, shareable as a card.

🔗

Shareable

Deep links, PNG cards and a printable A4 report. Everything stays in your browser.

Fetching repository…

Health Score rates the repository on 10 criteria: description, topics, license, README, .gitignore, CI workflows, tests, docs, contributing guide, and recent activity. A score of 80+ means excellent project hygiene. Use the Files tab to select code, then Digest to generate an LLM-ready prompt.

0Health score

Health checks

Repo facts

Trophies preview

🏷️ README Badge Generator

Static SVG badges you can paste into your project's README. Two styles: a self-hosted static badge (score is baked in) and a dynamic shields.io badge that fetches this repo's data on every view.

Static SVG (baked score) Dynamic (shields.io) + Stars badge

📜 License analysis

📖 README Preview

🔒 Security Quick Scan

🔍 Similar Repos

🧮 Code Complexity

🤖 AI Insights

Languages shows the byte-accurate composition of the codebase. Below, Detected stack lists manifest files (package.json, requirements.txt, etc.) and their dependencies. The doughnut chart visualizes the language mix.

📊 Language breakdown (bytes)

Detected stack

How to use the file tree: Browse the repository structure below. Tick checkboxes to select files for the LLM Digest, then go to the Digest tab to generate a prompt. Use Expand/Collapse to navigate, and the toolbar buttons to copy the tree as text or filter files.

📊 Type distribution

Shows how many files of each type exist in the repo.

📦 Heaviest files

The largest files by size — good candidates to exclude from digests.

📁 File tree

Interactive tree with checkboxes. Select files → go to Digest tab → generate an LLM-ready prompt.

🔎 Search inside file contents

Fetches and scans text files under 120KB in your browser — nothing is uploaded. Click a result to toggle it in the digest selection.

🔌 API Endpoints 0

Detected API routes from file paths (Next.js, Express, Flask patterns).

Repo Map turns the file tree into an interactive system map — Archify-style. Folders, entry points, manifests and config files become nodes you can pan, zoom and search. Click a node to focus it and trace upstream / downstream reach, press R to probe a route between two nodes, L to compare kinds with a semantic lens, F for presentation mode. Hit Trace imports to fetch source files and add real dependency edges.

🗺️ Repo Map

Click a node to focus it · R route · L lens · / search · M minimap · F present · S style · E export · + − 0 zoom

A browser-side documentation crawler. Give it a docs URL — it fetches pages recursively, strips navbars, sidebars, footers and TOCs, and gives you one clean text bundle for offline reading or your LLM / RAG pipeline. Same-origin only by default.

🦎 Docs Crawler

Max pages Restrict to the starting subpath

LLM Digest packs selected files into a single prompt you can paste into ChatGPT, Claude, or Gemini. Go to Files tab → tick checkboxes → come back here → click Generate. The prompt includes repo metadata, README, file tree, and full file contents. Binary files and lockfiles are skipped automatically.

What goes into the prompt

File tree of selected files README as context Repo metadata header

🎯 Digest Preset

Model & token estimate

⚡ Smart Recommendations

❓ Ask-a-question auto-select

Type what you want to ask the LLM — relevant files get selected automatically by matching your keywords against paths and file contents.

Selection

Tip: tick files in the Files tab tree, then come back here. Binary files and lockfiles are skipped automatically. Content is fetched fresh from raw.githubusercontent.com — it never leaves your browser.

Generated prompt

Onboarding Guide generates a step-by-step "your first contribution" path for this repo: setup commands, architecture reading order, good-first-issues, CI checklist and key contacts — all derived from the data already loaded in your browser.

🚀 Generate onboarding guide

Load a repository and click "Build guide".

Activity shows the project's pulse: commit frequency over 52 weeks, top contributors by commit count, recent commits, star history, bus factor (how many people could walk away before the project stalls), and release timeline.

📊 Commit activity — last 52 weeks

⭐ Star history

Top contributors

Recent commits

🚌 Bus Factor & Contributor Dominance

📦 Release Timeline

Fun Mode gives your repo a personality based on its dominant language, a data-driven roast of its quirks, and unlockable trophies for things like having tests, CI, a license, or 1,000+ stars. Share your card on social media!

🔥 Roast mode

📅 Repo Wrapped last 12 months

Trophies

Deps shows an interactive force-directed graph of dependencies parsed from manifest files (package.json, requirements.txt, Cargo.toml, go.mod, etc.). Hover over nodes to see package names. Each color represents a different ecosystem.

🔗 Dependency Graph

Deep Analysis goes beyond the surface: PR throughput (merge rate, open/closed, avg time-to-merge), fix-vs-feature commit ratio (bug pressure), code churn hotspots (files that change most often — bug magnets), and a dependency vulnerability scan powered by the open OSV API.

🔀 Pull Request Analytics

Click "Run deep scan" to fetch PR data.

🐛 Commit Fix Rate

Click "Run deep scan" to analyze commits.

🔥 Code Churn Hotspots

Files changed most frequently across recent commits — high churn often correlates with bugs and design debt.

✍️ Commit Style Fingerprint

Linguistic profile of the last 100 commit messages: convention adherence, verbosity, emoji culture, sentiment and co-authorship network.

Runs automatically after a deep scan.

📋 Issue Triage

Auto-classifies open issues by type, staleness and priority. Click "Run deep scan" or the button below.

Not scanned yet.

🛡️ Dependency Vulnerability Scan —

Checks parsed dependencies against the OSV.dev database. No API key needed.

Not scanned yet.

Know a GitHub repoin seconds, not hours.

Paste

Explore

Feed your AI

Health Score

LLM Digest

File Explorer

Deep Stats

Fun Mode

Shareable

🔑 GitHub Token (optional)

⚔️ Repo Battle

🏆 Battle Royale

💡 Explain this repo

📸 Choose Share Card Template

📋 Clone Repository

⌨️ Keyboard Shortcuts

Know a GitHub repo
in seconds, not hours.