I Was Wasting 20 Minutes Every Time I Opened an Unfamiliar GitHub Repo

You know the feeling.

Someone drops a GitHub link in Discord. Or you find a repo on HN. Or your team says "hey, we're migrating to this library."

You open it. Stars look good. But then:

README is either missing or 3 years old
47 top-level files staring at you
No idea where the actual logic lives
You clone it. Browse it. Still confused 10 minutes later.

This happened to me constantly. And every time I tried to give a repo to Claude Code or Cursor as context, I'd end up dumping random files and hoping for the best.

So I built something to fix it.

What I built: RepoContext

RepoContext — paste any GitHub URL, get a structured brief in seconds.

No AI. No signups. No agents. Fully deterministic.

Here's what it actually gives you:

1. Onboarding Brief

Not just a README summary. It surfaces:

What type of project this is
The files most worth reading first (ranked by importance)
Dependency risk signals
Repo health: open issues, PR pressure, activity status

2. Full File Tree

Browse the complete tree — up to 28k+ entries. Click any file to get an inline preview (first 16KB, no download needed).

3. Export for LLM

One click. You get a structured Markdown export ready to paste into Claude Code, Cursor, ChatGPT, Gemini CLI, or OpenClaw.

No more guessing which files to include. No more dumping the entire repo and hoping the context window survives.

4. Bulk File Download

Select the files you actually need. Download them as a ZIP. Useful when you want to give a specific subsystem to an AI tool without cloning the full repo.

5. Private Repo Support

Add your GitHub PAT in the input. Works with private repos and gives you higher rate limits on the GitHub API.

The workflow before vs after

Before:

Open repo
Stare at 40+ files
Start randomly clicking around
Clone it just to understand it
Paste random files into Claude
Get mediocre output because context was incomplete

After:

Paste URL into RepoContext
Read the brief (30 seconds)
Know exactly which files matter
Export structured context for your AI tool of choice
Get better output because the context is actually structured

Why no AI?

Intentional.

AI-generated summaries can hallucinate. When you're evaluating a codebase for production use or preparing context for another AI tool, you want deterministic output — the actual structure, the actual metadata, the actual health signals.

RepoContext uses heuristics, not inference. What you see is what's actually in the repo.

Try it

→ repocontext.ajaymathuriya.com

Paste any public GitHub URL. Takes about 3 seconds.

If you try it on a repo you know well, you'll immediately see whether the onboarding brief matches your mental model. That's always the most satisfying part.