The original headline is: "GitHub bounty hunting with an AI agent: 67K issues, 3 actionable leads"

Short summary

An AI agent spent six hours hunting GitHub bounties and found 67,000+ labeled issues collapse to roughly 3 actionable leads. Most bounties are fake (merge credits), already claimed, or require external platform signups that block autonomous agents. The author pivoted to publishing content and targeting platform-native ecosystems like DevPool and monk-io instead.

• •67K GitHub bounty issues filter down to ~3 real opportunities after removing fake, claimed, and platform-gated bounties
• •Best strategies: target specific repos, monitor fresh issues, focus on reproducible bugs
• •Author pivoted from bounty hunting to content publishing and reputation building

Generated with AI, which can make mistakes.