A reputation index from mitchellh's Vouch trust files
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I was inspired by mitchellh's Vouch project, an explicit trust system where maintainers vouch for contributors before they can interact with a repo. Ghostty uses it to filter out AI slop PRs.Because Vouch exposes the vouch list as a plain text file (VOUCHED.td), I realized I could aggregate them across GitHub and build a reputation index. A crawler finds every VOUCHED.td file, pulls the entries, and computes a weighted score per user. Vouches from high-star repos count more than vouches from zero-star repos.Next step is to wire up an API so that the vouch GH action can start to use this data to auto approve contributors.
HN · launched Feb 13, 2026 · 18 upvotes (top 33%) · 0 views
Niche: developer community and collaboration platforms · 62 launches, 3 in the last 7 days · Explore this niche →
Category and tags
- Horizontal
- Analytics & BI
- Developer
- Not AI
- Hobby / open-source project
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More like this: all 62 launches in developer community and collaboration platforms →
Could you build this?
Yes It is a data aggregation script and static dashboard that periodically parses GitHub repositories for VOUCHED.td text files and computes a simple weighted reputation score.
Discussion
3 comments analyzed.
Competitors mentioned: Vouch
Concerns raised: System is exploitable through repo farming and star farming, Scoring incentivizes contributions to large projects over smaller ones, Low adoption of Vouch currently, Disproportionate score gains from contributing to large vs. small projects
Feature requests: Use PageRank-style system ranking users by diversity of projects they're vouched in
Competitors
Other products that read as similar to this one : 50 launches clear the similarity bar, closest 8 shown.
Attention rank: #18 of 51 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 56 days after the earliest competitor.
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- TrustScore USA · ph · 2026-10-18 · 1 upvotes · similarity 0.37
- Madevisa GhostGood · ph · 2026-10-17 · 2 upvotes · similarity 0.36
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