You ship fast and build in public. Your analytics should keep up — and tie traffic back to the deploy that caused it.
Indie hackers live in a tight loop: ship a feature, post about it, watch what happens. The tools most analytics push on you — SDKs, event taxonomies, consent flows — are friction in that loop. And almost none of them connect a traffic spike back to the release or the Show HN that caused it.
Mochi fits the loop. One script line, GitHub deploy markers on your chart, Stripe revenue by channel, and an AI-crawler view so you can see when the bots start reading your launch. It's analytics that moves at the speed you do.
Traffic jumped — but was it the deploy, the tweet, or the Show HN? Most tools can't tell you.
Instrumenting events across the app is the opposite of shipping fast.
GPTBot and friends crawl constantly now, and they quietly inflate ordinary counters.
Mark commits right on your traffic chart and tie every spike to the release that caused it.
GPTBot, ClaudeBot, PerplexityBot and friends tracked on their own chart, out of your human counts.
See whether that launch actually converted — Stripe revenue attributed to each source.
Connect Search Console for the exact terms bringing organic traffic to your project.
Yes. Connect GitHub and Mochi marks your commits on the traffic chart, so you can line up any spike with the release that caused it.
No. Mochi is a single script line — it sorts traffic into channels and attributes Stripe revenue automatically, with no event code to write.
Yes. Mochi keeps bots out of your human counts and tracks AI crawlers like GPTBot and ClaudeBot on a dedicated chart.
One line of script, revenue tied to every channel, nothing to babysit. Free for 14 days, no card needed.
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