July 14, 2026
Leak tracker or hype tracker?
Show HN: Rejourney – Open-source revenue leak prediction for web and mobile apps
New app tool promises to catch why users quit — but commenters roasted the messy pitch
TLDR: Rejourney launched as an open-source tool that watches where app users get stuck and predicts where companies may be losing sales. Commenters were torn: some loved the promise of saving hours of detective work, while others roasted the pitch as sounding too obviously AI-written to trust.
A new Show HN post is pitching Rejourney as the all-in-one detective for apps: it records what users do, spots where they get frustrated, and tries to predict where businesses are losing money before the damage spreads. In plain English, it wants to tell app owners, “People got stuck here, tapped in anger there, and then gave up.” It also boasts that it can be self-hosted, works on web and mobile, and even throws benchmark shade at rival tools like PostHog by claiming it’s smaller and lighter.
But the real action was in the comments, where the crowd immediately split into “this could save me hours” versus “please fix this uncanny AI-written vibe first.” One commenter who’d used LogRocket sounded genuinely excited, basically saying the dream here is fewer late-night replay sessions and more instant answers. That’s the hopeful side of the thread: if this thing really surfaces the problem without making humans scrub through endless videos, it could be a lifesaver for teams trying to stop users from bouncing.
Then came the drag. The sharpest jab was aimed not at the product itself, but at the presentation: one user said the README felt like a rough draft churned out by Claude, and called it “incredibly off-putting.” Ouch. So the mood was half curiosity, half side-eye: people liked the idea of a smarter bug-and-dropoff tracker, but some couldn’t get past the salesy, AI-heavy packaging. In classic HN fashion, the tool launch quickly became a referendum on whether the product is polished — or just polished-sounding.
Key Points
- •Rejourney is presented as an open-source platform for AI-based funnel leak detection and conversion optimization for web and mobile apps.
- •The product includes session replay capture, AI leak ranking, crash and ANR detection, journey mapping, heat maps, global stability monitoring, and retention analysis.
- •Rejourney provides documentation for React Native integration, single-node self-hosting with Docker Compose, and distributed deployment using K3s, Kubernetes, and Tailscale-based operations.
- •The local development workflow is described as production-like, using a local Kubernetes setup and commands for bootstrap, validation, deployment, migration, and hot reload.
- •The article claims benchmark advantages over PostHog on web fixtures including Next.js, SvelteKit, and Nuxt, with smaller package size and lower reported upload, task, script, and heap metrics.