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Good First Issue Finder Tool (Free) | FirstPR Radar

Find newcomer-friendly GitHub issues fast. Match your stack, score freshness, validate onboarding, and generate a repo-specific first PR checklist—free.

Free Online Good First Issue Finder Tool

FirstPR Radar matches your tech stack to fresh, beginner-friendly GitHub issues and generates a repo-specific first PR checklist you can copy.

Use This Tool Free →

Why Use This Tool?

  • Get issues you can realistically finish by filtering by language/framework, contribution type, confidence, and time budget.
  • Avoid stale or abandoned repos with freshness + responsiveness scoring based on updates, comments, and repo activity signals.
  • Know what you’re walking into with an onboarding-quality badge that checks README/CONTRIBUTING and templates before you click.
  • Move from “found an issue” to “opened a PR” faster with a repo-specific checklist and keyboard-first triage workflow.

How It Works

1

Choose your stack, contribution type (docs/bug/tests), Git confidence, and time budget.

2

Review ranked issue cards with transparency on why each match scored well (or risky).

3

Open on GitHub and copy a generated first PR checklist tailored to that repo and issue.

FAQ

Is this good first issue finder really free?

Yes. FirstPR Radar is a free online tool from 3-Tools that helps you discover newcomer-friendly GitHub issues and generate a first PR checklist.

How does the tool decide which issues are “fresh” and worth attempting?

It ranks issues using recency signals (issue updated, last comment), comment-volume heuristics, and repository activity (e.g., pushed_at) to reduce the chance of picking stale or already-claimed work.

What does the “Onboarding OK / Risky” badge mean?

The badge summarizes setup and contribution signals like README presence, CONTRIBUTING.md, and issue/PR templates. “Risky” means you may face unclear setup steps or contribution expectations.

Can I share results with a mentor or save my filters?

Yes. You can save presets/filters in your browser (localStorage) and export results as JSON/CSV. You can also generate a shareable URL that encodes filters plus a snapshot id.

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