Rejourney
Open-source revenue leak prediction platform that combines session replay, AI funnel analysis, and code fix suggestions to identify and resolve conversion friction in web and mobile apps.
At a Glance
For validating the funnel before traffic ramps.
Engagement
Available On
Alternatives
Listed Jul 2026
About Rejourney
Rejourney is an open-source platform for finding and fixing conversion, retention, and revenue problems in web and mobile user journeys. It combines session replay, product analytics, and AI-powered issue detection to surface friction points in checkout, onboarding, and subscription flows — then packages that context into fix-ready payloads for developer agents like Cursor, Claude, or Copilot.
What It Is
Rejourney sits at the intersection of session replay tooling and AI-assisted debugging. Rather than simply recording user sessions, it connects those recordings to business events (such as checkout_started or purchase_completed), technical signals (API failures, crashes, ANRs), and revenue metrics to identify patterns worth investigating. The result is a ranked issue feed with replay evidence and suggested code fixes, not just raw recordings.
How the Workflow Works
The end-to-end flow has five stages:
- SDK installation — a lightweight browser or mobile SDK is added to the app (Next.js, React Native, Swift, Vue, Angular, SvelteKit, Remix, Gatsby, Shopify, or Hydrogen)
- Event tracking — developers define critical conversion events that establish intent and outcome
- Session grouping — similar sessions are clustered into cohorts; worrying trends around conversion events surface automatically
- AI Leak Detection — an AI issue detector ranks friction points by revenue impact and compiles structured, LLM-optimized Markdown context packets
- Agent handoff — the context packet is passed directly to Claude, Cursor, Codex, or any coding agent to generate a fix and verification tests
The platform also includes heatmaps, funnel replay evidence, geographic analytics, API endpoint insights, device cohorts, and stability monitoring (crashes, ANRs).
Architecture and Deployment Model
Rejourney uses a dual-license model: client SDKs (React Native, browser) are Apache 2.0, while the backend API and dashboard are SSPL 1.0. The repository is hosted on GitHub under the rejourneyco organization and is written primarily in TypeScript. Self-hosting is supported via Docker or Kubernetes (K3s), with documentation covering both local development and single-node production deployments. A managed cloud version is also available at rejourney.co.
The published web SDK benchmark (run May 2026 against Next.js, SvelteKit, and Nuxt fixtures) shows Rejourney uploading roughly half the payload of PostHog in the same scripted flow, with lower task time and heap usage across all three frameworks. The React Native package is reported at 39.7 kB minified versus 403 kB for @sentry/react-native at the versions tested.
Platform and Integration Coverage
Supported platforms span the major web and mobile stacks:
- Web: Next.js/React, Vue/Nuxt, Angular, SvelteKit, Remix, Gatsby
- Mobile: React Native/Expo, Swift/iOS (iOS 15.1+)
- E-commerce: Shopify (custom themes and headless), Hydrogen
The AI Agent Handoff feature passes diagnostic packets directly to Claude, Cursor, or Codex. GitHub repository connection adds code context and proposed code changes to issue reports.
Update: React Native SDK v1.3.1
The latest release is React Native SDK v1.3.1, published June 12, 2026. The repository was last pushed July 14, 2026, indicating active development. The project was created January 23, 2026, and has accumulated 233 stars and 13 forks on GitHub as of mid-July 2026. The vendor publishes a case study claiming Burst Creatine increased sales by 103% after using Rejourney to surface UX friction points, though this is a vendor-published claim.
Community Discussions
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Pricing
Free
For validating the funnel before traffic ramps.
- 5,000 session replays/month
- 7 days of checkout, onboarding, and paywall evidence
- Unlimited events, DAU, and MAU
- Funnels, cohorts, revenue, and retention trends
- AI Leak Detection (5,000 sessions coverage)
Starter
For finding the first leaks in real traffic.
- 25,000 session replays/month
- 14 days of checkout, onboarding, and paywall evidence
- Unlimited events, DAU, and MAU
- Funnels, cohorts, revenue, and retention trends
- AI Leak Detection (5x more than Free)
- 25,000 journeys across 14 days
- Limited AI Query Builder
- Crash, API, ANR, Device, Geo fixes
Growth
For ranking conversion leaks as traffic scales.
- 100,000 session replays/month
- 30 days of checkout, onboarding, and paywall evidence
- Unlimited events, DAU, and MAU
- Funnels, cohorts, revenue, and retention trends
- AI Leak Detection (20x more than Free)
- 100,000 journeys across 30 days
- AI Query Builder
- Crash, API, ANR, Device, Geo fixes
Pro
For high-volume product, checkout, and onboarding flows.
- 350,000 session replays/month
- 60 days of checkout, onboarding, and paywall evidence
- Unlimited events, DAU, and MAU
- Funnels, cohorts, revenue, and retention trends
- AI Leak Detection (70x more than Free)
- 350,000 journeys across 60 days
- AI Query Builder
- Crash, API, ANR, Device, Geo fixes
Scale
For high-scale funnels that need high-intent capture control.
- 1,000,000 session replays/month
- 60 days of checkout, onboarding, and paywall evidence
- High-Intent Capture for revenue-critical journeys
- Unlimited events, DAU, and MAU
- Funnels, cohorts, revenue, and retention trends
- AI Leak Detection (200x more than Free)
- 1,000,000 journeys across 60 days with high-intent capture control
- AI Query Builder
- Crash, API, ANR, Device, Geo fixes
Enterprise
For mobile teams building with Rejourney at custom scale.
- Custom session replays/month
- Custom conversion evidence history
- Smart Capture custom rules
- Unlimited events, DAU, and MAU
- Funnels, cohorts, revenue, and retention trends
- Custom volume conversion journeys
- AI Query Builder
- Crash, API, ANR, Device, Geo fixes
Capabilities
Key Features
- Session replay for web and mobile apps
- AI Funnel Leak Detection with ranked revenue friction points
- AI Agent Handoff to Claude, Cursor, and Codex
- Rejourney Marlin: GitHub-connected code fix suggestions
- Self-healing software repair loops
- Autonomous debugging with session context
- Heatmaps with scroll maps, click patterns, and rage clicks
- Funnel replay evidence for dropped-off sessions
- API endpoint insights by latency, failure codes, and user impact
- Stability monitoring for crashes, ANRs, and errors
- Device and OS cohort filtering
- Geographic analytics by country
- Revenue recovery analytics
- Standardized LLM-friendly context packets
- AI Query Builder for session filtering
- Custom conversion event tracking
- Self-hosting via Docker or Kubernetes
Integrations
Demo Video

