Platext
Flutter, Dart, Supabase, Google ML KitA license plate spotting community app. Capture, catalog, and share plate sightings with OCR recognition, real-time feeds, and social features. Built with Flutter and Supabase for cross-platform performance.
Platext is a license plate spotting community app that transforms a niche hobby into a connected social experience. Users capture plates using OCR-powered recognition, build personal collections, track rare finds, and share sightings with a community feed. The app is built with Flutter for cross-platform deployment and Supabase for real-time backend services.
The ChallengeHow do you build a niche community app that feels polished enough to attract early adopters while maintaining the technical sophistication needed for real-time OCR, geolocation tracking, and social features β all as a solo developer?
Founder, Sole Designer & Developer β responsible for product vision, UI/UX design, Flutter development, Supabase architecture, OCR integration, and community governance.
ToolsEstablished design system tokens and component library before building features
Implemented Google ML Kit OCR for real-time plate recognition
Built offline-first architecture for reliable field use
Created Supabase backend with real-time subscriptions for community feed
Designed progressive onboarding to reduce time-to-first-sighting
Cross-platform app with consistent experience on iOS and Android
Sub-2-second OCR recognition accuracy in field conditions
Offline-first architecture with seamless sync on reconnect
Community governance model with feedback-driven feature prioritization