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Rejourney
Tiny-SDK product analytics with session replay that turns conversion failures into GitHub fixes
0Visit Rejourney
https://rejourney.co
About Rejourney
Rejourney is product analytics built around a deliberately small SDK. The company's headline comparison is size: 61.2 kB minified for the web SDK against PostHog's 238.6 kB per BundlePhobia, and roughly three times less session upload volume — 12.4 KiB per minute against 37.8 — which matters if you are instrumenting a page whose conversion you are trying not to slow down. Underneath the size claim is a full toolkit: web and mobile session replay, funnels that let you drill from a drop-off step straight into the recorded sessions that dropped, heatmaps with scroll maps and rage-click detection, geographic analytics, stability monitoring that groups crashes, errors, ANRs and API spikes with replay context, endpoint insights ranked by latency and failure code, and device and OS breakdowns that surface friction hidden inside averages. Platform coverage is broad — Next.js and React, Redux Toolkit, React Native and Expo, Flutter, Swift, Vue and Nuxt, Angular, SvelteKit, Remix, Gatsby and Shopify Hydrogen. Two pieces stand out for AI work. Standardized Context formats session data into LLM-friendly schemas, and Rejourney Marlin turns replay-backed evidence of a conversion failure into a suggested fix opened against your GitHub repository — the original Show HN framing was a GitHub app that proposes code fixes for conversion failures. The company is GDPR compliant, hosted in Germany, and open-source supported.
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Key Features
Rejourney Pros & Cons
✅ Pros
- +$15/mo for 100k session replays is aggressive against incumbent replay pricing
- +German hosting and GDPR compliance simplify EU deployments
- +Evidence-to-pull-request loop is genuinely differentiated
⚠️ Cons
- −Free tier retains evidence for only 7 days
- −Bundle-size comparisons are vendor-run, even if the source is cited
- −Younger dataset and integrations than the incumbents it benchmarks against
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