- Zero-knowledge encryption for ALL sensitive data + metadata
- Blood pressure example: value + type + unit ALL encrypted
- 9 collections: users, families, profiles, health_data, lab_results, medications, appointments, shares, refresh_tokens
- Client-side encryption (AES-256-GCM, PBKDF2)
- Server NEVER decrypts data
- Privacy-preserving queries (plaintext fields: userId, profileId, familyId, date, tags)
- Tagging system for encrypted data search
- Date range queries (plaintext dates)
Key principle:
- Both value AND metadata encrypted (e.g., "blood_pressure" + "120/80")
- No plaintext metadata leaks
- Server stores ONLY encrypted data
Updated tech stack decisions with MongoDB schema
All major research complete (Rust, Mobile, Web, State, Auth, Database)
Next: Backend development (Axum + MongoDB)
- Completed mobile-first platform strategy research
- React Native selected for iOS and Android mobile apps
- React selected for web companion app
- 70-80% code sharing between mobile and web
- Excellent health sensor integration (HealthKit, Health Connect)
- QR scanning, encryption, and background sync support
- Created comprehensive frontend research documentation
- Updated README with platform strategy
- Updated tech stack decisions
Key advantages:
- Single language (TypeScript) reduces development cost
- 70-80% code sharing between mobile and web
- Excellent health sensor integration
- Great chart visualization for web companion
- Faster time to market
Next: State management research (Redux vs Zustand)
- Completed performance comparison of Actix vs Axum
- Axum selected for I/O-bound workload advantages
- 18% faster for large encrypted data transfers
- 25% less memory for 1000+ concurrent connections
- Better streaming support and Tower middleware ecosystem
- Created comprehensive research documentation
- Updated README with framework decision
Next: Research frontend framework options
