I'm a founder with a working React/TypeScript web app (built with Lovable, Supabase backend) launching late-April 2026. I need a developer to: (1) get it into the iOS App Store, and (2) implement comprehensive user analytics.
The web app is functional — I need it wrapped for native iOS and instrumented with tracking. Full product details will be shared with the selected developer under NDA.
Scope of work:
Job 1: iOS App Store deployment
— Wrap existing React web app for iOS (Capacitor or similar)
— Implement Apple share extension (share URLs from Safari directly to the app)
— Push notifications
— TestFlight setup for beta testing
— App Store submission (metadata, screenshots, privacy labels, review compliance)
Job 2: Analytics implementation
— Integrate analytics SDK (Mixpanel, Amplitude, or PostHog — open to your recommendation)
— Track all user events (I have a detailed tracking map with every event and property specified)
— All events must also be stored in our Supabase database as raw data
— Set up a dashboard I can check daily
Job 3: Data infrastructure
— Scheduled background jobs for data collection (scraping/API calls)
— Store historical data over time
— Track status changes and trigger push notifications
— Should handle 10,000+ tracked items without degradation
Current tech stack:
— React/TypeScript (Lovable)
— Supabase (auth + database)
— Hosted on Lovable infrastructure
Requirements:
— Must work within existing architecture (no full rebuild)
— Clean, documented, maintainable code
— Must pass Apple App Store review
— Privacy compliant (Apple ATT framework)
Timeline:
— Week 1: Capacitor wrap, TestFlight build
— Week 2: Analytics SDK integrated, core events tracking
— Week 3: Data infrastructure, push notifications
— Week 4: Full QA + App Store submission
Budget: Open to proposals (hourly or fixed-price for defined scope)
To apply: Please share (1) a web app you've shipped to the App Store, (2) an analytics implementation you've built, and (3) any experience with Lovable, Capacitor, or Supabase. Bonus: experience with web scraping or e-commerce data.