owenshuo

owenshuo / open-bounty-radar

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CLI radar for discovering and monitoring paid open-source issues and bounty opportunities

41
0
89% credibility
Found May 31, 2026 at 41 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

Open Bounty Radar is a tool that helps developers find and track paid open-source issues on GitHub, automatically scanning repositories for bounty-tagged problems, scoring opportunities by reward and competition, and generating reports to help contributors identify the best work to pursue.

How It Works

1
🔍 Discover paid bugs to fix

You hear about a tool that helps find open-source projects willing to pay for bug fixes and improvements.

2
⚙️ Set up your search

You install the tool and tell it which projects on GitHub you want to watch for paid work.

3
🎯 Find your perfect bounty

The tool scans for issues with money attached, filters out the crowded ones, and shows you the best opportunities ranked by reward and competition.

4
Choose your path
💪
Start working on an issue

Pick a high-scoring bounty and submit your fix to earn the reward.

👀
Watch existing submissions

Monitor pull requests from other contributors to learn the process.

5
📊 Get your personalized report

You receive a clear report showing the top bounty opportunities, their rewards, and any risks to watch out for.

6
📱 Stay updated anywhere

If you want, you can set up notifications so your phone tells you when something changes with your watched bounties or submissions.

🎉 Earn money for your code

You found a real opportunity, submitted quality work, and got paid for contributing to open source.

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Star Growth

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AI-Generated Review

What is open-bounty-radar?

Open Bounty Radar is a JavaScript CLI that scans GitHub repositories for paid open-source issues and bounty opportunities, then ranks them by attractiveness. You point it at repos you care about, and it queries the GitHub API for issues mentioning dollar amounts, parses the bounty values, checks how many PRs are already linked, and spits out ranked candidates in Markdown, JSON, or HTML reports. It also watches your submitted PRs and alerts you via Telegram when their status changes, checks fail, or maintainers respond. The tool runs locally, stores state between runs to detect changes, and requires no hosted service.

Why is it gaining traction?

The main hook is turning tedious manual bounty hunting into a repeatable, automated workflow. Instead of bookmarking searches and refreshing manually, you configure your targets once and run `npm run radar` whenever you want a fresh snapshot. The scoring system is opinionated but transparent: it penalizes crowded issues and rewards high bounties with recent activity, so you can quickly see which opportunities are worth your time. The Telegram integration means you can monitor your watchlist passively without checking GitHub constantly. For developers already spending hours on bounty platforms, this fills a real gap between finding opportunities and tracking submitted work.

Who should use this?

Independent developers and freelancers who chase open-source bounties on platforms like GitHub, Canny, or custom labeling schemes. Small teams tracking multiple bounty PRs across repositories will benefit from the watch functionality and change detection. If you have a set of repos you monitor regularly for paid work, this replaces spreadsheet-based tracking. It is less useful for one-time bounty hunters or anyone unwilling to configure JSON files and manage API tokens.

Verdict

This is a genuinely useful niche tool with solid fundamentals, but the 41-star count and early-stage maturity mean you should expect rough edges and limited community support. The documentation is thorough and the CLI is well-designed, but test coverage is unclear and the project lacks a published package, requiring a git clone and local setup. The 0.8999999761581421% credibility score reflects this experimental status. Worth trying if you have an active bounty workflow; too early to trust for mission-critical tracking without validating outputs yourself.

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