Reasy

The Problem

Road safety data is fragmented, delayed, and often inaccessible to the communities most affected. By the time a dangerous intersection or road hazard is officially documented, incidents have already occurred. Communities need a real-time, ground-up approach to road safety.

The Approach

Reasy bridges the gap between community knowledge and actionable safety data:

1. Community reporting — anyone can report hazards, near-misses, and safety concerns
2. Data aggregation — reports are clustered and analyzed to identify patterns
3. Visualization — interactive maps show safety hotspots and trends
4. Advocacy — aggregated data can be shared with local governments and transportation departments

Implementation

The technical architecture prioritizes real-time data and mobile-first UX:

• React Native for cross-platform mobile app (iOS and Android)
• Next.js for the web dashboard and public-facing pages
• PostgreSQL with PostGIS for geospatial data
• Mapbox for interactive mapping and visualization
• Vercel for web hosting with edge functions for API routes

Key technical challenges:

• Geospatial clustering — efficient real-time clustering of reports on the map
• Offline support — reports can be submitted without connectivity and sync when back online
• Data validation — balancing ease of reporting with data quality
• Privacy — protecting reporter identity while maintaining data integrity

Results

• X+ reports submitted across X+ cities
• X% user retention (30-day)
• Partnerships with X local transportation departments
• Featured in X publications

What I'd Do Next

• Machine learning for automated hazard classification from photos
• Integration with official crash/incident databases
• Predictive modeling for emerging safety risks
• API for third-party developers and researchers