Most teams answer "where do users drop off during onboarding?" by installing a heavyweight analytics suite. Then they inherit its consent banners, session replays, and data-sharing baggage just to see one funnel.
We're building OnRamp to answer that one question, for mobile and web apps, with as little data as possible.
Step-by-step onboarding funnels. See which screen loses users, time per step, exit paths, and completion split by platform, version, or country.
Works wherever your onboarding lives. SDKs for iOS, React Native, Flutter, and React/Next.js, plus a plain JS snippet for any website. Native app, SPA, or a signup flow on your marketing site, it's three lines of code either way.
Privacy-first by design. No cookies, no device fingerprinting, no session recordings. Just a random UUID, event timestamps, and coarse geo. The IP lookup runs on our own servers with a self-hosted GeoLite2 database, so raw IPs are never stored and never touch a third party. Event data auto-deletes after 13 months.
EU-hosted. Your event data isn't shared with ad networks or used to train anything.
We hold ourselves to the same bar. The OnRamp dashboard tracks its own onboarding funnel with our own SDK, and our site runs zero third-party trackers. No analytics suites, no ad pixels, not even a consent banner, because there's nothing to consent to.
Hey Product Hunt! 👋 I built OnRamp after getting frustrated with analytics tools that showed endless events but not the simple answer I needed: where are new users getting lost, and what should I fix first?
OnRamp focuses only on onboarding. Add a handful of step() calls (or auto-track navigation) and it ranks the biggest leak, shows who dropped, maps detours and exits, and connects completion to retention and revenue without recording anyone's screen.
I'd love your feedback: which onboarding metric or breakdown would be most useful for your product?