← Blog · Jul 6, 2026 · updated Sep 16, 2026
How to find profitable GitHub bounties without wasting hours
Searching GitHub directly for bounty markers is free, but it isn't fast — it returns every matching issue regardless of whether the bounty is still real, still open, or already has three people racing to claim it.
What manual search actually returns
Typing /bounty $ into GitHub's search bar returns every issue that ever contained that text — including ones closed a year ago, ones already merged and paid out, and ones sitting in repos nobody has touched since 2024. You have to open each one individually to find out which of those it is. Multiply that across Algora, Opire, IssueHunt, BountyHub and TaskBounty — each with its own marker syntax — and the actual working set of "genuinely open, fundable, competition-light" issues is a small fraction of what the raw search shows you.
The honeypot problem
Some issues carry the right marker text but aren't backed by a real, verified payout — abandoned drafts, stale bait left over from a maintainer's earlier experiment, or bounties technically still "open" only because nobody bothered to close the issue after paying someone privately. Working one of these costs you real hours for $0 at the end.
Platform markers, at a glance
- Algora —
/bounty $in the issue body - Opire —
/rewardin the issue body - IssueHunt — a visible dollar-amount badge
- BountyHub — a comment from
bountyhub-bot - TaskBounty — a
taskbountylabel
How the 0–115 scanner filters it for you
BountyOS checks every issue against real signals — a confirmed bounty marker, its dollar tier, freshness under 48h, existing competing pull requests, whether the repo is still active — and reduces that to one decision: WORK (70+, worth your time), WATCH (50-69, monitor for 24-48h), or SKIP (under 50, ignore). No more opening twenty tabs to find the two that are actually real.
Start free with GitHubChoose a planFAQ
Why doesn't searching GitHub directly work well? It can't filter by freshness or competition, and shows closed, paid-out, and honeypot issues alongside genuinely open ones.
How much time does this actually save? Developers who track it manually report 5-10 hours a week just checking whether issues are still open across platforms.
How is WORK/WATCH/SKIP decided? Points for a confirmed marker, dollar tier and freshness; points subtracted for a closed issue, a competing PR, or bot swarm activity.
See also: Get paid to fix GitHub issues — the complete guide · Algora vs Opire vs IssueHunt vs BountyHub vs TaskBounty · Sniper mode explained
Live data: see what is open right now on the GitHub bounty board, updated hourly.