Climbr - Rock Climber Social Network
AI-powered social networking platform for rock climbers featuring smart partner matching, natural language search, comprehensive event management, and safety-focused trip planning with real-time location intelligence.
Overview
Developed a comprehensive social networking platform specifically designed for the rock climbing community that revolutionizes how climbers connect and find compatible partners. Climbr addresses the critical challenge of partner matching by implementing AI-powered compatibility scoring that considers skill level, climbing style, schedule, and location preferences, making it safer and easier for climbers to find suitable partners. The platform features an advanced event management system with smart scheduling, location intelligence powered by PostGIS spatial queries, and comprehensive safety features including GPS check-ins and automated emergency alerts. The natural language search capability allows users to make conversational queries like 'Find me a lead partner for this weekend,' dramatically improving the user experience over traditional filter-based searches. Built with a modern tech stack including Django 5.2+, React 18, GraphQL, and real-time WebSocket communication, the platform demonstrates production-ready architecture with 85%+ test coverage, optimized database performance achieving 80% query reduction, and comprehensive security hardening. The system successfully handles complex spatial queries for location-based features while maintaining sub-200ms response times.
Technical Stack
Frontend
- ▸React 18+
- ▸TypeScript
- ▸Apollo Client
- ▸Tailwind CSS
- ▸Vite
Backend
- ▸Django 5.2+
- ▸Python 3.11+
- ▸Graphene-Django
- ▸Django Channels
- ▸Celery
Database & Infrastructure
- ▸PostgreSQL 15+
- ▸PostGIS
- ▸Redis
- ▸Docker
- ▸AWS S3
AI & Monitoring
- ▸OpenAI GPT-4
- ▸Sentry
- ▸Performance Monitoring
- ▸Error Tracking
Key Features
AI-powered partner matching with compatibility scoring based on skill level, style, and preferences
Natural language search for conversational queries about finding climbing partners
Comprehensive event management with smart scheduling and calendar integration
Location intelligence with real-time weather data and condition updates for climbing areas
Safety-focused trip planning with GPS check-ins and automated emergency alerts
Real-time messaging with WebSocket support for instant communication
User verification system with safety reporting and emergency contact sharing
Mobile-responsive design with touch-optimized interfaces for field use
Multi-tier caching system achieving 80% database query reduction
Production-ready deployment with 99.5%+ uptime capability
Code Examples
Technical Challenges
Implementing PostGIS spatial queries for efficient location-based partner and event discovery
Building real-time WebSocket infrastructure for instant messaging with presence indicators
Designing AI algorithms for accurate partner compatibility scoring across multiple dimensions
Optimizing database performance to handle complex spatial queries with sub-200ms response times
Creating a comprehensive safety system with automated alerts and emergency response features
Achieving 85%+ test coverage across unit, integration, and end-to-end test suites