GitHub stars are the most visible metric in open source — and one of the easiest to misread. A repo with 50,000 stars that peaked 18 months ago tells a different story than one with 8,000 stars that tripled in the last 30 days. Raw counts are a lagging indicator; star velocity and acceleration tell you what's actually happening in a community.
For developers evaluating dependencies, star momentum matters. A library gaining 500 stars/day is likely to have active maintenance, quick issue responses, and growing documentation. A library that stopped gaining stars two years ago may still work fine — or it may be quietly abandoned. Knowing which is which before you add a dependency saves the refactor cost later.
GitIntel combines star tracking with repository health signals: commit frequency, issue close rate, PR merge time, and AI composition of recent commits. These signals together are a better proxy for "will this library still be maintained in 18 months" than stars alone. A repo with strong star growth but 90% AI commits and zero human-authored commits in the last 60 days warrants a different trust level than one with steady human contribution.
Run `gitintel stars <repo-url>` or use the web dashboard to track multiple repos with daily velocity reports.