Reputation, quantified.
Search for a user or repo above, or press /
Filter noiseIdentify likely human contributions. Because AI bots don't have many stars (yet).
Issues + PRsSort by Gitrep score to surface the most human contributions.
More dotsWe've got more data, which means your curves are tighter.
Star historyCompare growth across repos. Display a star chart on your repo.
Agent-friendlyNo auth, no rate limits, /llms.txt. Your agent can start fetching in one curl.
100x faster100K issues in 616ms. GitHub's API takes 47 seconds for 5K.
FAQ →
FAQ
What's a gitrep score?
It's the sum of estimated stars across all your repos that we know about. That's it. No secret sauce, just raw stars, delivered fresh from us to you.
Why is my star count different from GitHub?
We estimate stars from hourly watch events between periodic direct observations. Since estimates drift in between these data points, we show uncertainty using an 80% confidence interval as a `±%` figure on each repo page, and a shaded band on star histories.
How do you measure uncertainty?
It's an 80% confidence interval calibrated from 2.8 million real star observations. The margin of error is zero at observation points (where we know the exact count) and widens in between (following a Brownian bridge shape) where we are estimating.
How often do you update?
We pull GitHub Archive data hourly, which itself has a 2-hour lag. We freshen that with direct observations continuously, about ~100k repos per day, prioritized by where uncertainty is highest — repos with lots of new activity since their last observation get checked first.
Why don't all my repos show up?
We've never heard of your repo unless it's showed up in GitHub Archive. Private repos, empty forks, that side project you started at 2am and never pushed to, none of those will show up.
Can I add my repo?
Nope. But if someone stars it, it should show up in max 3 hours.
Can I use your API?
Sure. Have at it. Here are the docs (llms.txt).
Can I put a star chart on my repo?
Absolutely. Just click the "embed" button on any chart and paste it into your README or website.