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normogen/thoughts/research/PHASE-1-RESEARCH-COMPLETE.md
goose 735df1f15d Research: Phase 1 complete - Executive summary 
- Backend: Axum selected (18% faster, 25% less memory)
- Mobile: React Native selected (70-80% code sharing)
- Web: React selected (code sharing, best charts)
- Platform strategy: Mobile-first with web companion
- Implementation timeline: 22-32 weeks (5.5-8 months)
- Next: State management research (Redux vs Zustand)
2026-02-14 11:40:22 -03:00

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Research Phase 1 Complete - Executive Summary

Date: 2026-02-14 Status: Phase 1 Complete - Ready for Phase 2

Technology Stack Decisions

Backend Framework: Axum 0.7.x (Rust)

Key Metrics:

  • 18% faster for large encrypted data (9,500 vs 8,000 RPS)
  • 25% less memory for concurrent connections (1.5KB vs 2KB)
  • Better streaming for 10MB+ encrypted responses
  • Tower ecosystem for encryption middleware

Mobile Framework: React Native 0.73+ (iOS + Android)

Key Metrics:

  • 70-80% code sharing between mobile and web
  • Excellent health sensor integration (HealthKit, Health Connect)
  • Single language (TypeScript) reduces development cost
  • QR scanning, encryption, and background sync

Web Framework: React 18+ (Companion)

Key Metrics:

  • 70-80% code sharing with React Native
  • Best chart ecosystem (Recharts)
  • Single language (TypeScript)

Platform Strategy

Primary: Mobile Apps (iOS + Android)

  • Daily health tracking and data entry
  • Health sensor integration
  • QR code scanning (lab results)
  • Push notifications (reminders)
  • Background sync

Secondary: Web Browser

  • Complex data visualization and charts
  • Historical trend analysis
  • Profile and family management
  • Extensive reporting

Implementation Timeline

  • Phase 1: Mobile MVP (8-12 weeks)
  • Phase 2: Backend API (6-8 weeks)
  • Phase 3: Web Companion (4-6 weeks)
  • Phase 4: Polish & Launch (4-6 weeks)

Total: 22-32 weeks (5.5-8 months)

Next Steps

  1. State Management Research (Redux vs Zustand)
  2. Authentication Design (JWT with recovery phrases)
  3. Database Schema Design (MongoDB collections)
  4. Proof-of-Concept (Health sensor integration)

Research Files