A National Pokedex for Pokemon TCG Collectors. Add cards to a your collection from current and vintage sets, and build your dream national pokedex collection without redundant websites.
Upon a friend group challenging eachother to cultivate a TCG national pokedex generation by generation over months per gen, I was inspired to code a digital binder to track, display, search, and share admirable TCG cards and binder pages.
- A digital binder organized by Pokedex number and split into generations.
- A 'Search by Set' tab that allows you to browse through TCG sets.
- A 'Search by Pokemon' tab that allows you to search for all cards pertaining to certain Pokemon.
- A button to add cards from either Search tabs to your digital binder.
- Select and export cards by generation, with or without complete Pokedex generations!
- Hover and examine cards for further detail.
- Remove existing cards in your digital binder.
Completely revamping the desktop app by rebuilding the data infrastructure to handle API integration with improved reliability, deduplication, and performance optimization.
- Lightweight Client: Frontend downloads ~50MB instead of 5GB, dramatically reducing installation time and storage requirements
- Dynamic Data Loading: Real-time access to the latest Pokemon cards and sets without requiring app updates
- Intelligent Caching: Local caching with background updates provides offline functionality while maintaining data freshness
- Horizontal Scaling: Backend can handle thousands of users simultaneously with proper load balancing
- Always Current: Users automatically get new card releases, price updates, and metadata corrections
- Data Quality Assurance: Automated ETL pipelines ensure consistent, validated data across all users
- Backup & Recovery: Cloud-based data storage with automated backups prevents data loss
- Version Control: Complete audit trail of data changes with rollback capabilities
- Separation of Concerns: Frontend and backend can be developed, tested, and deployed independently
- API-First Design: Enables future mobile apps, web interfaces, or third-party integrations
- Automated Testing: CI/CD pipelines catch bugs before deployment to production
- Monitoring & Observability: Real-time insights into system performance and user behavior
- Faster Initial Setup: Quick download and installation gets users started immediately
- Seamless Updates: Backend improvements and new features appear automatically
- Multi-Device Sync: User collections and preferences sync across devices (future capability)
- Community Features: Shared collections, trading suggestions, and market insights (future capability)
- Usage Analytics: Understanding which Pokemon and sets are most popular
- Performance Metrics: Real-time monitoring of system health and user satisfaction
- Data-Driven Features: Machine learning recommendations for card collecting strategies
- Market Integration: Live price data and collection value tracking
- Multi-Service Architecture: Requires managing databases, APIs, ETL pipelines, and monitoring systems
- Cloud Costs: Ongoing operational expenses for hosting, storage, and data transfer
- DevOps Requirements: Need expertise in deployment, scaling, and incident response
- Security Considerations: API authentication, data encryption, and protection against attacks
- Internet Requirement: Core functionality requires stable internet connection
- API Reliability: System availability depends on backend service uptime
- Latency Considerations: Geographic distance to servers may affect performance
- Graceful Degradation: Need robust offline modes when connectivity is poor
- Learning Curve: Requires mastering additional technologies (databases, cloud services, ETL tools)
- Deployment Complexity: Multiple services need coordinated releases and rollback strategies
- Testing Challenges: Integration testing across frontend, API, and database layers
- Documentation Burden: Need comprehensive API docs and system architecture diagrams
- Privacy Compliance: GDPR, CCPA, and other regulations for user data handling
- Data Retention Policies: Managing storage costs while maintaining historical data
- Migration Challenges: Moving users from local data to cloud-based system
- Backup Strategies: Ensuring business continuity and disaster recovery
- Industry-Standard Architecture: Demonstrates proficiency with modern data engineering practices
- Cloud-Native Experience: Hands-on experience with AWS, databases, and DevOps tools
- Full-Stack Capability: Shows ability to design systems from data ingestion to user interface
- Production Mindset: Understanding of monitoring, testing, and operational excellence
- Machine Learning Integration: Recommendation engines, price prediction models, and collection optimization
- Mobile Application: Native iOS/Android apps sharing the same backend infrastructure
- Marketplace Features: Trading platform, auction integration, and collection valuation tools
- Community Platform: User profiles, collection sharing, and social features