Say

Stay Local, Say Loud

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Inspiration

Say was born from the personal experience of global social networks out there. I know a lot whats happening in the world but when in need hardly I can seek help there (they have their own use case). So I started feeling a network of nearby people who can actually offer help in an hour of need. People I can meet personally. And from that this idea started growing in the heart and this hackathon gave the opportunity to fulfil that.

What it does

Say is a location-based social platform that connects people with their immediate community while providing critical emergency services integration. Users can:

  • Share location-based posts with three engagement levels: Whispers (update people within 1km range), Says (update people within 10km range), and Hollers (wide-reaching announcements, update people within 25km range)
  • Discover and join local communities based on shared interests and geographic proximity
  • Access real-time emergency services with intelligent caching that works offline
  • Register as local service providers to help their local community (like NGOs)
  • Share multimedia content including audio recordings, photos, and videos with location context
  • Receive push notifications for community updates and emergency alerts (push notification has some issues which are to be solved)
  • Privacy first, every post is public, there are no private posts so no one can plan nefarious activities using the platform

How we built it

Say leverages a modern, scalable tech stack designed for real-time, location-aware social interaction:

  • Frontend: React Native with Expo, providing cross-platform mobile experience with native performance
  • Backend: Supabase with PostgreSQL and PostGIS extension for advanced geospatial queries
  • Real-time Features: live feed updates and push notifications via Expo Notifications
  • Location Services: Expo Location with intelligent caching and privacy controls
  • Media Processing: Expo AV for audio recording and Expo Image Picker for multimedia content
  • Architecture: Cache-first emergency services with offline support, using https://emergencynumberapi.com/
  • UI/UX: Custom glassmorphism design system with gradient animations and haptic feedback

Challenges we ran into

  • Complex geospatial queries: Implementing efficient location-based feed algorithms that scale with user density while maintaining privacy
  • Offline emergency access: Building a robust cache-first system ensuring emergency contacts are always available, even without internet
  • Real-time social features: Balancing immediate updates with battery life and data usage
  • Location privacy: Creating granular privacy controls that protect user location while enabling community features
  • Cross-platform consistency: Ensuring identical experience across iOS and Android with platform-specific optimizations

Accomplishments that we're proud of

  • Seamless offline emergency access with intelligent background sync and cache management
  • Advanced PostGIS integration enabling sophisticated location-based community discovery
  • Scalable real-time architecture supporting live feed updates and push notifications (have some issues at the time of submission)
  • Comprehensive emergency/general services database with local service provider registration
  • Intuitive location aware posting system (Whispers, Says, Hollers) creates posts that travels just enough distance
  • Robust privacy controls allowing users to fine-tune their location sharing preferences
  • Glass morphism UI design creating an engaging, modern user experience with smooth animations

What we learned

  • Geospatial database optimization is crucial for location-based social apps - PostGIS proved invaluable for complex proximity queries
  • Cache-first architecture is essential for emergency services
  • Community moderation at the local level requires different approaches than global social platforms
  • Emergency service integration requires extensive testing with real emergency responders to ensure usability under stress
  • Location-based privacy is more nuanced than simple on/off switches - users need granular control over their digital footprint

What's next for Say

  • AI-powered community insights to suggest relevant local events and emergency preparedness tips
    • Integration with official emergency alert systems for government-issued warnings and updates
    • Expanded multimedia support including live streaming for real-time community events
    • Community commerce features enabling local businesses to connect with nearby residents
    • Emergency drill coordination allowing communities to organize and track safety preparedness
    • Analytics dashboard for emergency service providers to understand community needs and response patterns
    • Multi-language support to serve diverse local communities
    • Web platform expansion to complement the mobile experience with desktop community management tools

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