Enduro Stats V2

A complete ground-up refactor of my fitness tracking app with improved architecture, advanced analytics, and professional development practices. Built with modern React patterns, proper data persistence, and enhanced user experience.
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Explanation:
After completing the initial version of Enduro Stats, I realized the limitations of my original architecture. The app needed to evolve from a simple API wrapper into a robust analytics platform with proper data persistence, advanced caching, and professional development practices. This V2 represents a complete architectural overhaul.
Challenges and Key Features:
- Complete architectural refactoring from scratch while maintaining user data and functionality
- Implementing proper data persistence and synchronization with conflict resolution
- Building advanced analytics and trend analysis features
- Creating a scalable, maintainable codebase with proper testing and CI/CD
- Optimizing performance with intelligent caching and data management
Implementation Details:
I completely rebuilt the application from the ground up using modern React patterns and best practices. The new architecture includes proper data modeling with Supabase, intelligent caching strategies, and a robust data synchronization system. I implemented React Query for efficient data fetching, proper error boundaries, and comprehensive testing. The app now features advanced analytics, trend visualization, and a much more maintainable codebase.
What I Learned:
- Deep understanding of React Query and modern data fetching patterns
- Experience with database design and data synchronization strategies
- Advanced TypeScript patterns and type safety best practices
- Professional development workflow with testing, CI/CD, and code quality tools
- Performance optimization and caching strategies for real-time data applications
Future Improvements:
- Complete architectural overhaul with proper separation of concerns
- Advanced analytics and trend analysis capabilities
- Professional testing suite and CI/CD pipeline
- Improved performance through intelligent caching and data management
- Better user experience with enhanced UI/UX and responsive design
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