Show HN: Rejourney – Open-source revenue leak prediction for web and mobile apps
Rejourney is an open-source tool designed to predict revenue leaks in web and mobile applications by analyzing user sessions and identifying product failures. It uses session replays, heatmaps, and error tracking to help developers pinpoint where users drop off in the conversion funnel.
Why it matters
It provides businesses with a data-driven approach to optimizing user experience and recovering lost revenue through automated diagnostic insights.
Revenue-leak prediction for web and mobile products.
Rejourney finds product failures that may be costing revenue. You define the business transition to protect: activation, checkout, purchase validation, entitlement, or renewal. Rejourney compares the current cohort with a healthy baseline and groups the evidence around the change.
Session replay is central to the workflow. A conversion drop identifies a transition worth checking; the recording shows the path to that transition, what the user tried, whether the UI acknowledged it, and the errors or slow requests in the same session. Reviewers can compare affected sessions with successful sessions from the same release, device, route, or campaign.
The result is a candidate leak with a cohort, a baseline, supporting signals, and sessions to inspect. It becomes a confirmed product or revenue problem only after the relevant application and business state have been checked.
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