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Mayank Tripathi
@Leaveitblank
Developer and the person behind GoodFirstPicks. I like building things that solve real problems — this one came from my own frustration trying to find beginner-friendly issues on GitHub. Currently working at rtCamp, building enterprise WordPress solutions.
Why I Built GoodFirstPicks
My first open source contribution took me three days just to find the right issue. Not because there weren't any — there were thousands. But figuring out which ones were actually beginner-friendly, which repos had responsive maintainers, and which issues weren't already stale? That was the real challenge.
GoodFirstPicks exists to solve that problem. Instead of manually browsing GitHub's "good first issue" label (which is often misused), we use AI to analyze issues across multiple dimensions: scope clarity, difficulty, skill requirements, and risk flags. The result is a curated feed of issues that are actually approachable.
Built with Next.js and Payload CMS on the backend, with a custom worker that scans repos on a schedule. Might open-source it down the line — for now, the focus is on making the platform genuinely useful.
How It Works
A background worker scans tracked GitHub repos on a schedule, pulls open issues, and runs them through an LLM for structured classification — difficulty, scope clarity, risk flags, the works. Only issues that pass get surfaced on the platform.
The stack is Next.js for the frontend, Payload CMS as the headless backend, and PostgreSQL for storage. Everything runs in Docker behind super secure and fast servers. Powered by Coffee.
Find your first contribution
Browse AI-curated issues across top repos and start contributing today.