Flow - Product and Technical Roadmap
Strategic roadmap for the Flow Event Discovery Platform from MVP to monetization (Q1 2026 - Q4 2027).
Last Updated: March 10, 2026 Version: 1.0.0 Status: MVP Phase - Early Development
Table of Contents
- Executive Summary
- Current Status (March 2026)
- Phase 1: MVP Completion (Q1-Q2 2026)
- Phase 2: Social Features & Growth (Q3 2026)
- Phase 3: AI & Scaling (Q4 2026 - Q1 2027)
- Phase 4: Monetization & Enterprise (Q2-Q4 2027)
- Technical Debt & Architecture Improvements
- Database Migration Strategy
- Priority Matrix
- Success Metrics & KPIs
- Risk Assessment
- Dependencies & Blockers
Executive Summary
Flow is transitioning from early MVP development to a comprehensive event discovery platform. This roadmap outlines the product evolution from Q1 2026 through Q4 2027, focusing on:
- MVP Completion (Q1-Q2 2026): Core event discovery, basic social features, mobile app launch
- Social Growth (Q3 2026): Advanced social features, gamification, community building
- AI & Scale (Q4 2026 - Q1 2027): AI-powered recommendations, matchmaking, infrastructure scaling
- Monetization (Q2-Q4 2027): Premium features, vendor subscriptions, advertising platform
Key Milestones
- April 2026: MVP beta launch in Reggio Emilia
- June 2026: Public iOS/Android app launch
- September 2026: 10,000 active users milestone
- December 2026: AI recommendation engine v1.0
- March 2027: Regional expansion (Northern Italy)
- June 2027: Monetization features launch
- December 2027: 100,000 active users, profitability target
Current Status (March 2026)
What’s Complete
Mobile App (Flutter)
- ✅ Basic UI/UX framework with Material Design 3
- ✅ Authentication flow (email, social login)
- ✅ Event listing and detail views
- ✅ Location-based event discovery
- ✅ User profile management
- ✅ Basic navigation structure (GoRouter)
- ✅ Firebase integration for push notifications
- ✅ Supabase integration for real-time features
Admin Portal (Next.js + Supabase)
- ✅ Admin authentication (Supabase Auth)
- ✅ Dashboard with basic metrics
- ✅ Event management (CRUD operations)
- ✅ Venue management
- ✅ User management interface
- ✅ Audit logging
- ✅ Deployed on Vercel
Backend Services (Node.js Microservices)
- ✅ API Gateway with routing and rate limiting
- ✅ User Service (authentication, profiles)
- ✅ Event Service (event CRUD, search)
- ✅ Social Service (basic friend system)
- ✅ Notification Service (email, push setup)
- ✅ Realtime Service (Socket.IO for WebSocket)
- ✅ Docker Compose for local development
- ✅ Basic MongoDB schemas
- ✅ Redis caching layer
Infrastructure
- ✅ Docker containerization for all services
- ✅ MongoDB primary database
- ✅ Redis for caching and sessions
- ✅ Elasticsearch for search (basic setup)
- ✅ GitHub Actions CI for Flutter
- ✅ Local development environment
What’s In Progress
- 🔄 Event discovery algorithms (basic)
- 🔄 Social feed implementation
- 🔄 Real-time chat functionality
- 🔄 Mobile app UI polish
- 🔄 Admin analytics dashboard
What’s Missing / Planned
Critical for MVP
- ❌ Event recommendation engine
- ❌ Advanced event filters and search
- ❌ Event RSVPs and attendance tracking
- ❌ User-generated content moderation
- ❌ Production deployment on GCP/Kubernetes
- ❌ Comprehensive testing suite
- ❌ Mobile app store submission
Nice-to-Have for MVP
- ❌ Gamification system (points, badges)
- ❌ Group formation and management
- ❌ Advanced social features (shares, tags)
- ❌ AI matchmaking
- ❌ Event categorization ML model
Phase 1: MVP Completion (Q1-Q2 2026)
Timeline: March 2026 - June 2026 (4 months) Focus: Launch functional MVP with core features in Reggio Emilia Target Users: 1,000-5,000 early adopters
Product Features
Month 1 (March 2026) - Foundation
Mobile App:
- Complete event discovery UI/UX
- Advanced filters (date, category, price, distance)
- Map view with event markers
- Calendar integration
- Event RSVP and attendance tracking
- “Interested” and “Going” actions
- Attendee lists with privacy controls
- Event reminders
- User profile enhancements
- Interest selection and management
- Location preferences
- Profile photos and bios
- Basic social features
- Friend requests and acceptance
- View friends’ attending events
- Simple activity feed
Admin Portal:
- Enhanced event management
- Bulk upload via CSV
- Event approval workflow
- Featured/promoted events
- Analytics dashboard v1
- User growth metrics
- Event popularity statistics
- Engagement metrics
- Vendor onboarding
- Vendor registration flow
- Vendor profile management
- Event creation for vendors
Backend:
- Event recommendation algorithm v0.1
- Location-based recommendations
- Category preference matching
- Popularity scoring
- Search optimization
- Elasticsearch full-text search
- Faceted search with filters
- Search suggestions/autocomplete
- Performance optimizations
- Database indexing (see issue #12)
- Redis caching for popular queries
- API response optimization
Month 2 (April 2026) - Beta Launch
Mobile App:
- Event creation by users
- User-generated event submission
- Photo upload and editing
- Event moderation queue
- Social sharing
- Share events to social media
- Invite friends to events
- Event QR codes
- Notifications
- Push notifications for event updates
- Friend activity notifications
- Personalized recommendations
- Offline support
- Cache recent events locally
- Queue actions for sync
- Basic offline browsing
Admin Portal:
- Content moderation tools
- User-generated content review
- Spam detection
- User reporting system
- Vendor dashboard
- Event performance analytics
- Attendee insights
- Promotional tools
Backend:
- Event aggregation system
- Facebook Events scraper (optional)
- Eventbrite integration (optional)
- Manual event imports
- User activity tracking
- Event views, clicks, RSVPs
- Search queries
- Session analytics
Infrastructure:
- Staging environment on GCP
- Kubernetes cluster setup
- MongoDB Atlas staging
- Redis Cloud staging
- CI/CD pipeline
- Automated testing
- Docker image builds
- Kubernetes deployments
Launch Activities:
- Beta testing with 100 users in Reggio Emilia
- Bug fixes and performance tuning
- User feedback collection
- Iteration on core features
Month 3 (May 2026) - Polish & Testing
Mobile App:
- UI/UX refinements based on feedback
- Accessibility improvements (WCAG 2.1 AA)
- Performance optimization
- App size reduction
- Load time improvements
- Animation smoothness
- Localization (Italian + English)
- Error handling and edge cases
Admin Portal:
- Advanced analytics
- User cohort analysis
- Retention metrics
- Funnel analysis
- Bulk operations
- Batch event approval/rejection
- User management tools
- Export capabilities
Backend:
- API stability and error handling
- Rate limiting fine-tuning
- Security hardening
- Penetration testing
- Vulnerability scanning
- Security audit
Quality Assurance:
- Comprehensive test suite
- Unit tests (80%+ coverage)
- Integration tests
- E2E tests for critical flows
- Load testing
- 1,000 concurrent users
- Performance benchmarking
- Bottleneck identification
- Security testing
- OWASP Top 10 compliance
- API security testing
- Data encryption verification
Month 4 (June 2026) - Public Launch
Mobile App:
- App Store submission
- iOS App Store
- Google Play Store
- Screenshots, descriptions, keywords
- Marketing materials
- Landing page
- Social media presence
- Press kit
- Onboarding optimization
- Tutorial flow
- First-time user experience
- Sample data for new users
Backend:
- Production deployment
- GCP Kubernetes production cluster
- MongoDB Atlas production
- Redis production with HA
- Monitoring and alerting
- Prometheus + Grafana
- Error tracking (Sentry)
- Performance monitoring
Launch Activities:
- Public launch event in Reggio Emilia
- Local press and media outreach
- Partnership with local venues and organizers
- Social media campaign
- Initial user acquisition target: 1,000 downloads
Technical Deliverables
Architecture
- Implement event bus (Redis Streams) - Issue #1
- Redis adapter for Socket.IO scaling - Issue #2
- Port alignment for all services - Issue #3
- OpenTelemetry observability setup - Issue #6
Database
- MongoDB indexing strategy - Issue #12
- Migration framework (migrate-mongo)
- Schema versioning and governance - Issue #10
- Backup and recovery procedures
Testing
- API contract testing (Pact/OpenAPI) - Issue #9
- E2E testing suite (Playwright) - Issue #9
- Load testing (k6) - Issue #9
- Mobile integration tests
Success Metrics (Phase 1)
- User Acquisition: 1,000-5,000 registered users
- Engagement: 30%+ MAU/DAU ratio
- Event Discovery: 10+ events viewed per user per week
- Technical: 99.5% uptime, p95 latency < 500ms
- App Store: 4.0+ star rating
- User Feedback: NPS score > 40
Phase 2: Social Features & Growth (Q3 2026)
Timeline: July 2026 - September 2026 (3 months) Focus: Social networking, community building, user growth Target Users: 10,000-20,000 users
Product Features
Month 5 (July 2026) - Social Foundation
Mobile App:
- Group formation and management
- Create interest-based groups
- Join/leave groups
- Group member management
- Group event planning
- Enhanced friend features
- Mutual friend suggestions
- Friend of friend discovery
- Friend categories/lists
- Contact import and matching
- Activity feed improvements
- Rich activity types (RSVP, check-in, review, share)
- Feed filtering and sorting
- Engagement actions (like, comment)
- Event check-ins
- Location-based check-in
- Check-in photos
- Check-in badges
Admin Portal:
- Group moderation tools
- Community management dashboard
- User behavior analytics
Backend:
- Social graph optimization
- Friend recommendations algorithm
- Group discovery algorithm
- Social feed generation (materialized views)
- Real-time updates
- Live activity notifications
- Real-time friend activity
- Event capacity updates
Month 6 (August 2026) - Gamification
Mobile App:
- Points system
- Points for event attendance
- Points for reviews and engagement
- Points for inviting friends
- Points leaderboard
- Badges and achievements
- Event attendance badges
- Social engagement badges
- Category explorer badges
- Rare/special badges
- User levels and reputation
- Level progression system
- Reputation score
- Profile flair and badges display
- Exclusive event access
- Point-based event unlocking
- Reputation-gated events
- VIP tier system
Admin Portal:
- Gamification management
- Create/edit badges
- Configure point rewards
- Leaderboard moderation
- Event access control
- Set access requirements
- Manage invite-only events
- Approval workflows
Backend:
- Gamification service
- Point calculation engine
- Achievement tracking
- Leaderboard generation
- Access control system
- Permission checks
- Invite management
- Waitlist functionality
Month 7 (September 2026) - Community & Growth
Mobile App:
- Group features expansion
- Group discussions/forums
- Group events and calendar
- Group roles and permissions
- Group analytics for admins
- Enhanced messaging
- Direct messaging improvements
- Group messaging
- Event-specific chat rooms
- Message reactions and threads
- User-generated content
- Event reviews with photos
- Venue reviews and ratings
- User photo galleries
- Event highlights and stories
Admin Portal:
- Community health dashboard
- Engagement metrics by cohort
- Growth attribution
- Churn analysis
- User sentiment tracking
- Growth tools
- Referral program management
- Promotional campaigns
- A/B testing framework
Backend:
- Advanced notification system
- Smart notification timing
- Notification preferences
- Digest emails
- Push notification optimization
- Content moderation ML
- Spam detection
- Inappropriate content filtering
- Auto-moderation rules
Growth Initiatives:
- Referral program
- Friend invitation rewards
- Viral loops
- Social sharing incentives
- Local partnerships
- Venue partnerships (20+ venues)
- Event organizer partnerships (50+ organizers)
- Local influencer collaborations
- Regional expansion prep
- Market research for expansion cities
- Localization for new regions
- Infrastructure scaling
Technical Deliverables
Architecture
- Event bus full implementation (Kafka evaluation) - Issue #1
- Gateway caching for performance - Issue #7
- Secrets management (GCP Secret Manager) - Issue #8
Infrastructure
- Horizontal scaling for all services
- Multi-region setup (preparation)
- CDN for static assets
- Database read replicas
Security
- Advanced authentication (2FA)
- OAuth integrations (Google, Facebook)
- Enhanced data privacy controls
- GDPR compliance audit
Success Metrics (Phase 2)
- User Growth: 10,000-20,000 registered users
- Social Engagement: 40%+ users with 5+ friends
- Group Formation: 500+ active groups
- Gamification: 60%+ users earning points weekly
- Retention: 40%+ 30-day retention
- Virality: K-factor > 0.5 (viral coefficient)
- Technical: 99.7% uptime, p95 latency < 300ms
Phase 3: AI & Scaling (Q4 2026 - Q1 2027)
Timeline: October 2026 - March 2027 (6 months) Focus: AI-powered features, regional expansion, infrastructure scaling Target Users: 50,000-100,000 users
Product Features
Month 8-9 (Oct-Nov 2026) - AI Recommendation Engine
Mobile App:
- Personalized event feed
- ML-powered recommendations
- Collaborative filtering
- Content-based recommendations
- Hybrid recommendation system
- Discovery improvements
- “Events you might like” section
- Trending events detection
- Serendipity recommendations
- Time-aware suggestions
- Smart notifications
- AI-optimized send times
- Personalized notification content
- Predictive event suggestions
Backend (AI Services):
- Recommendation engine v1.0
- TensorFlow Recommenders model
- User embedding generation
- Event embedding generation
- Real-time inference service
- Feature engineering pipeline
- User behavior features
- Event features
- Contextual features (time, location, weather)
- Model training infrastructure
- Automated training pipeline
- A/B testing framework
- Model versioning (MLflow)
- Feature store implementation
Admin Portal:
- ML model monitoring
- Model performance metrics
- Recommendation quality dashboard
- A/B test results
- Featured content management
- Boost specific events in recommendations
- Override recommendations
- Campaign-based promotion
Technical:
- AI services deployment
- FastAPI recommendation service
- Model serving infrastructure
- GPU support for training
- Data pipeline
- ETL for ML feature extraction
- Real-time feature computation
- Batch processing for training data
- Read replica for AI workloads - Issue #5
Month 10-11 (Dec 2026 - Jan 2027) - AI Matchmaking
Mobile App:
- Friend recommendations
- Compatibility scoring
- Mutual interest matching
- Social graph analysis
- Group recommendations
- Interest-based group suggestions
- Geographic proximity
- Activity level matching
- Event attendee suggestions
- Find similar people at events
- Networking suggestions
- Group formation at events
Backend (AI Services):
- Matchmaking service v1.0
- User similarity algorithm
- Compatibility scoring
- Multi-factor matching (interests, behavior, location)
- Social graph analytics
- Community detection
- Influence analysis
- Network effects measurement
Admin Portal:
- Matchmaking analytics
- Connection success rates
- Quality of matches
- User feedback on suggestions
Month 12-13 (Feb-Mar 2027) - Scaling & Expansion
Infrastructure:
- Multi-region deployment
- European multi-region setup
- Geo-distributed load balancing
- Regional data residency
- Database scaling
- MongoDB sharding
- Cross-region replication
- Read/write splitting
- Performance optimization
- CDN for all static assets
- Edge caching
- API response compression
- GraphQL implementation (optional)
Backend:
- Advanced caching strategy
- Multi-layer caching
- Cache invalidation patterns
- Distributed caching
- API versioning
- v2 API with GraphQL
- Backward compatibility
- Deprecation strategy
Expansion:
- Regional launch (Northern Italy)
- Bologna launch
- Modena launch
- Parma launch
- Ferrara launch
- Localization
- Regional event categorization
- Local language nuances
- Regional partnerships
- Marketing campaigns
- Regional social media
- Local influencer partnerships
- Event organizer outreach
Technical Deliverables
Architecture
- CDC pipeline (Mongo to Postgres) - Issue #4
- Gateway evolution (Kong/Traefik evaluation) - Issue #11
- Service mesh evaluation (Istio/Linkerd)
- GraphQL federation (optional)
AI/ML
- Production ML pipeline
- Automated retraining
- Model A/B testing
- Feature monitoring
- Drift detection
- ML ops infrastructure
- Kubeflow or similar
- Model registry
- Experiment tracking
- Feature store
Databases
- MongoDB sharding strategy
- Read replica architecture
- Postgres for analytics (Supabase + CDC)
- Time-series data (InfluxDB for metrics)
Success Metrics (Phase 3)
- User Growth: 50,000-100,000 registered users
- Regional Coverage: 5+ cities in Northern Italy
- AI Performance: CTR on recommendations > 10%
- Matchmaking: 30%+ users accept friend suggestions
- Engagement: 50%+ MAU/DAU ratio
- Event Creation: 1,000+ user-generated events/month
- Technical: 99.9% uptime, p95 latency < 200ms
- Scalability: Support 10,000 concurrent users
Phase 4: Monetization & Enterprise (Q2-Q4 2027)
Timeline: April 2027 - December 2027 (9 months) Focus: Revenue generation, enterprise features, international expansion Target Users: 100,000-500,000 users
Product Features
Month 14-16 (Apr-Jun 2027) - Monetization Foundation
Mobile App:
- Freemium model
- Free tier with core features
- Premium subscription (Flow+)
- Feature comparison
- Upgrade prompts
- Premium features
- Unlimited event RSVPs
- Advanced filters and search
- Priority event recommendations
- Ad-free experience
- Exclusive badges and perks
- Early access to features
- In-app purchases
- Point packs
- Premium badges
- Event promotion boosts
- Gift subscriptions
Admin Portal:
- Vendor subscription plans
- Free tier (limited events)
- Basic plan ($29/month)
- Pro plan ($99/month)
- Enterprise plan (custom)
- Vendor features (paid tiers)
- Promoted event listings
- Analytics and insights
- Advanced targeting
- Email campaigns to followers
- Custom branding
- Revenue dashboard
- Subscription metrics
- Transaction history
- Payout management
Backend:
- Payment processing
- Stripe integration
- Subscription management
- Billing and invoicing
- Payment method management
- Revenue tracking
- Subscription analytics
- LTV calculations
- Churn prediction
- Promotional system
- Event boosting algorithm
- Sponsored placements
- Ad serving infrastructure
Month 17-19 (Jul-Sep 2027) - Enterprise & B2B
Admin Portal (Enterprise):
- White-label platform
- Custom branding
- Subdomain setup
- Custom domains
- Enterprise features
- Multi-venue management
- Team collaboration
- Advanced permissions
- API access for integrations
- Custom reporting
- API marketplace
- Developer portal
- API documentation
- API keys and rate limits
- Webhook support
B2B Features:
- Corporate event management
- Private corporate events
- Employee engagement tools
- Team building events
- Ticketing integration
- Partner with ticketing platforms
- Native ticketing (optional)
- Ticket sales tracking
- Sponsorship platform
- Event sponsorship marketplace
- Brand partnerships
- Sponsored content
Backend:
- API platform
- Public API v1
- API gateway for partners
- Rate limiting per API key
- Usage analytics
- Integration marketplace
- Partner integrations
- Zapier integration
- Webhook delivery
Month 20-22 (Oct-Dec 2027) - Growth & International
Product:
- International expansion
- Multi-language support (5+ languages)
- Multi-currency support
- Regional customization
- International payment methods
- Advanced analytics for users
- Personal event statistics
- Social network analysis
- Personalized insights
- Event discovery innovations
- Voice search
- Image-based event discovery
- AR event previews (experimental)
Platform:
- Event creation tools
- Event builder wizard
- Templates and themes
- Media management
- Ticketing options
- Marketing automation
- Email campaigns
- SMS notifications
- Push notification campaigns
- Retargeting
Growth:
- International launch (3+ countries)
- Strategic partnerships (major event platforms)
- Acquisition of complementary services (optional)
- Series A fundraising (optional)
Technical Deliverables
Platform
- Multi-tenancy architecture
- API-first platform
- Microservices maturity (service mesh, distributed tracing)
- Event-driven architecture (Kafka)
Data
- Data warehouse (BigQuery or Snowflake)
- Business intelligence platform
- Advanced analytics (Looker or similar)
- Data governance and compliance
Infrastructure
- Global CDN
- Multi-region active-active setup
- Disaster recovery plan
- 99.99% uptime SLA
Success Metrics (Phase 4)
- User Growth: 100,000-500,000 registered users
- Revenue: $50K-100K MRR
- Paid Subscriptions: 5-10% conversion to premium
- Vendor Subscriptions: 500+ paying vendors
- International: 3+ countries, 10+ cities
- Engagement: 60%+ MAU/DAU ratio
- Event Volume: 10,000+ events/month
- Profitability: Break-even or profitable
- Technical: 99.95% uptime, p95 latency < 150ms
Technical Debt & Architecture Improvements
Based on docs/architecture-improvements.md and docs/issues/, addressing technical debt is critical for scalability and maintainability.
High Priority (Q2 2026)
Issue #1: Event Bus Implementation
Problem: Tight coupling between services via synchronous HTTP calls causes latency and failure cascades.
Solution:
- Implement Redis Streams for PoC (Month 1-2)
- Define event contracts (EventCreated, EventUpdated, EventCancelled, UserProfileUpdated, NotificationRequested)
- Update services to publish/consume events
- Implement DLQ (Dead Letter Queue) and retry logic
- Add metrics for lag and consumer health
- Evaluate Kafka for production (Month 6+)
Timeline: Q2 2026 Impact: High - improves resilience and performance
Issue #2: Redis Adapter for Socket.IO
Problem: Real-time service doesn’t scale horizontally without Redis adapter.
Solution:
- Enable socket.io-redis-adapter in production
- Configure sticky sessions on load balancer
- Test horizontal scaling with multiple realtime service instances
- Implement rate limiting for WebSocket connections
Timeline: Q2 2026 (before public launch) Impact: Critical - required for scaling real-time features
Issue #3: Port Alignment
Problem: Inconsistent port configuration across services.
Solution:
- Standardize notification service to port 3004
- Update all environment files and documentation
- Update docker-compose.yml and Kubernetes manifests
Timeline: Q2 2026 (Month 1) Impact: Low - but improves consistency
Issue #6: Observability with OpenTelemetry
Problem: Limited visibility into distributed system behavior.
Solution:
- Implement OpenTelemetry SDK in all Node.js services
- Propagate trace-id across service boundaries
- Export traces to Jaeger or Cloud Trace
- Export metrics to Prometheus
- Create Grafana dashboards for key metrics
Timeline: Q2 2026 Impact: High - essential for debugging and performance optimization
Issue #12: Performance and Indexing
Problem: Slow queries due to missing indexes.
Solution:
- Enable MongoDB profiling in staging
- Create indexes for: slug, organizer.id, datetime.start, location.coordinates, category
- Add compound indexes for common query patterns
- Benchmark performance improvements
- Document indexing strategy
Timeline: Q2 2026 (Month 2-3) Impact: High - improves query performance
Medium Priority (Q3 2026)
Issue #4: CDC Mongo to Postgres
Problem: Data inconsistency between MongoDB (operational) and Postgres (analytics/admin).
Solution:
- Implement Debezium or similar CDC tool
- Stream Mongo changes to Postgres
- Create read-only analytics views in Postgres
- Remove duplicate SQL models from user-service
Timeline: Q3 2026 Impact: Medium - reduces data inconsistency
Issue #5: AI Read Replica
Problem: AI services reading from operational MongoDB can cause performance degradation.
Solution:
- Create dedicated MongoDB read replica for AI workloads
- Implement data pipeline (batch or CDC) to feature store
- Version datasets for ML models
- Schedule nightly feature materialization
Timeline: Q3 2026 (before AI features launch) Impact: High - prevents AI from impacting user-facing performance
Issue #7: Gateway Caching
Problem: Repeated requests to backend services increase latency.
Solution:
- Implement response caching in API gateway for GET requests
- Cache popular event details, category lists
- Invalidate cache via events (from event bus)
- Add cache hit/miss metrics
Timeline: Q3 2026 Impact: Medium - improves performance and reduces backend load
Issue #8: Secrets Management
Problem: Secrets stored in .env files are insecure and hard to rotate.
Solution:
- Migrate secrets to GCP Secret Manager (or AWS Secrets Manager)
- Implement secret rotation for JWT keys and API keys
- Update CI/CD to fetch secrets dynamically
- Remove .env files from deployment
Timeline: Q3 2026 (before production launch) Impact: Critical - security requirement
Low Priority (Q4 2026+)
Issue #9: Contract Testing and E2E
Problem: No API contract validation or comprehensive E2E tests.
Solution:
- Implement OpenAPI specs for all services
- Add API schema validation in gateway
- Pact contract tests between services
- Playwright E2E tests for critical user flows
- Load testing with k6
Timeline: Q4 2026 Impact: Medium - improves quality and prevents regressions
Issue #10: Schema Governance
Problem: No formal schema versioning or migration strategy.
Solution:
- Implement migrate-mongo for all services
- Create schema changelog
- Add migration tests in CI
- Document migration process
Timeline: Q4 2026 Impact: Medium - prevents data issues
Issue #11: Gateway Evolution
Problem: Express-based gateway lacks advanced features (circuit breaker, sophisticated rate limiting).
Solution:
- Evaluate Kong, Traefik, or managed API Gateway
- PoC in staging environment
- Migrate routes progressively
- Leverage plugins for auth, rate limit, caching, mTLS
Timeline: Q1 2027 Impact: Medium - improves gateway capabilities
Database Migration Strategy
Current State
MongoDB (Primary):
- User data
- Event data
- Social graph
- Session data
- All operational data
PostgreSQL/Supabase:
- Admin portal authentication
- Admin users and roles
- Audit logs
- Vendor profiles
- Analytics data (future)
Redis:
- Session storage
- Caching
- Real-time data
- Queue management
Decision Point: MongoDB vs PostgreSQL
Recommendation: Keep MongoDB as primary operational database, use PostgreSQL for analytics via CDC.
Rationale:
- MongoDB handles dynamic schemas well (events have varying structures)
- Geospatial queries for location-based features are excellent in Mongo
- Horizontal scaling with sharding is mature
- Development velocity is high with Mongo’s flexibility
- Migration cost and risk are high
Strategy:
- Short-term (Q2-Q3 2026): Continue with MongoDB, optimize with indexing and read replicas
- Medium-term (Q4 2026): Implement CDC to Postgres for analytics and reporting
- Long-term (2027): Evaluate partial migration if specific features require ACID transactions
Migration Plan (If Needed)
If migration becomes necessary:
Phase 1: Preparation
- Analyze all MongoDB queries and schemas
- Design equivalent PostgreSQL schemas
- Create migration scripts
- Set up dual-write system (write to both DBs)
Phase 2: Data Migration
- Migrate historical data (batch)
- Validate data integrity
- Sync ongoing changes (CDC)
Phase 3: Cutover
- Switch read traffic to PostgreSQL (service by service)
- Monitor performance and errors
- Switch write traffic to PostgreSQL
- Deprecate MongoDB
Timeline: 6-9 months (if decided) Risk: High - requires careful planning and testing
Priority Matrix
Priority Scoring
Impact: (High = 3, Medium = 2, Low = 1) Effort: (High = 3, Medium = 2, Low = 1) Priority Score: Impact / Effort (higher = more priority)
| Feature/Issue | Impact | Effort | Priority | Phase |
|---|---|---|---|---|
| MVP Features | ||||
| Event discovery & search | High (3) | Medium (2) | 1.5 | Phase 1 |
| User authentication | High (3) | Low (1) | 3.0 | Phase 1 |
| Event RSVP | High (3) | Low (1) | 3.0 | Phase 1 |
| Mobile app polish | High (3) | Medium (2) | 1.5 | Phase 1 |
| Admin portal basics | Medium (2) | Medium (2) | 1.0 | Phase 1 |
| Production deployment | High (3) | High (3) | 1.0 | Phase 1 |
| Social Features | ||||
| Groups | High (3) | Medium (2) | 1.5 | Phase 2 |
| Gamification | High (3) | Medium (2) | 1.5 | Phase 2 |
| Activity feed | Medium (2) | Medium (2) | 1.0 | Phase 2 |
| Messaging | Medium (2) | High (3) | 0.67 | Phase 2 |
| AI Features | ||||
| Recommendation engine | High (3) | High (3) | 1.0 | Phase 3 |
| Matchmaking | Medium (2) | High (3) | 0.67 | Phase 3 |
| Content moderation ML | Medium (2) | Medium (2) | 1.0 | Phase 3 |
| Monetization | ||||
| Premium subscriptions | High (3) | Medium (2) | 1.5 | Phase 4 |
| Vendor subscriptions | High (3) | Medium (2) | 1.5 | Phase 4 |
| Advertising platform | Medium (2) | High (3) | 0.67 | Phase 4 |
| Technical Debt | ||||
| Event bus (#1) | High (3) | Medium (2) | 1.5 | Phase 1 |
| Redis adapter (#2) | High (3) | Low (1) | 3.0 | Phase 1 |
| Observability (#6) | High (3) | Medium (2) | 1.5 | Phase 1 |
| Indexing (#12) | High (3) | Low (1) | 3.0 | Phase 1 |
| Secrets management (#8) | High (3) | Low (1) | 3.0 | Phase 2 |
| CDC pipeline (#4) | Medium (2) | High (3) | 0.67 | Phase 2 |
| AI read replica (#5) | High (3) | Medium (2) | 1.5 | Phase 3 |
| Gateway caching (#7) | Medium (2) | Medium (2) | 1.0 | Phase 2 |
| Contract testing (#9) | Medium (2) | Medium (2) | 1.0 | Phase 3 |
| Schema governance (#10) | Low (1) | Low (1) | 1.0 | Phase 3 |
| Gateway evolution (#11) | Medium (2) | High (3) | 0.67 | Phase 3 |
Top Priorities (Next 3 Months)
- Redis adapter for Socket.IO (Issue #2) - Critical for scaling
- User authentication - Core MVP feature
- Event RSVP - Core MVP feature
- MongoDB indexing (Issue #12) - Performance critical
- Event bus implementation (Issue #1) - Architecture improvement
- Observability setup (Issue #6) - Essential for production
- Event discovery & search - Core user value
- Production deployment - Required for launch
Success Metrics & KPIs
North Star Metric
Active Event Discovery Sessions per User per Week
- Measures core value delivery
- Target: 3+ sessions/user/week by end of Phase 1
- Target: 5+ sessions/user/week by end of Phase 2
Phase 1 (MVP) - Q2 2026
Acquisition:
- Registered users: 1,000-5,000
- App downloads: 2,000-8,000
- Organic vs paid: 70% organic
Engagement:
- DAU/MAU ratio: 30%+
- Events viewed per user per week: 10+
- RSVP rate: 20%+ of viewed events
- Session duration: 5+ minutes average
Retention:
- Day 1 retention: 40%+
- Day 7 retention: 25%+
- Day 30 retention: 15%+
Quality:
- App store rating: 4.0+ stars
- Crash-free rate: 99.5%+
- NPS score: 40+
Technical:
- Uptime: 99.5%+
- P95 API latency: <500ms
- P95 page load time: <2s
- Error rate: <1%
Phase 2 (Social) - Q3 2026
Acquisition:
- Registered users: 10,000-20,000
- K-factor (viral coefficient): >0.5
- Organic growth rate: 20%+ MoM
Engagement:
- DAU/MAU ratio: 40%+
- Users with 5+ friends: 40%+
- Active groups: 500+
- Average group size: 20+ members
- Points earned per user per week: 50+
Retention:
- Day 30 retention: 25%+
- Reactivation rate: 20%+
Social:
- Friend invitations sent: 3+ per user
- Friend invitation acceptance: 30%+
- Group participation: 20%+ of users
Technical:
- Uptime: 99.7%+
- P95 API latency: <300ms
- Concurrent users supported: 1,000+
Phase 3 (AI & Scaling) - Q4 2026 - Q1 2027
Acquisition:
- Registered users: 50,000-100,000
- Regional coverage: 5+ cities
- International readiness: 3+ countries
Engagement:
- DAU/MAU ratio: 50%+
- Recommendation CTR: 10%+
- Friend suggestion acceptance: 30%+
- User-generated events: 1,000+/month
AI Performance:
- Recommendation accuracy: >70%
- Recommendation diversity: >40% outside top categories
- Matchmaking success: 30%+ accepted connections
- Model latency: <100ms p95
Retention:
- Day 30 retention: 35%+
- Day 90 retention: 20%+
Technical:
- Uptime: 99.9%+
- P95 API latency: <200ms
- Concurrent users supported: 10,000+
- Multi-region latency: <300ms p95
Phase 4 (Monetization) - Q2-Q4 2027
Acquisition:
- Registered users: 100,000-500,000
- International users: 30%+
Revenue:
- MRR: $50K-100K
- ARPU: 1.00
- Premium conversion: 5-10%
- Vendor subscriptions: 500+ paying
- LTV/CAC ratio: >3.0
Engagement:
- DAU/MAU ratio: 60%+
- Premium user engagement: 2x free users
- Vendor event success: 50%+ attendance rate
Retention:
- Premium churn: <5% monthly
- Vendor churn: <10% monthly
- Overall Day 30 retention: 40%+
Business:
- Gross margin: >70%
- CAC payback period: <6 months
- Break-even or profitable
Technical:
- Uptime: 99.95%+
- P95 API latency: <150ms
- International latency: <250ms p95
- Support for 100K+ concurrent users
Risk Assessment
High Risk
1. User Acquisition Challenges
Risk: Difficulty acquiring initial users in competitive event discovery market
Mitigation:
- Strong local partnerships in Reggio Emilia
- Viral growth mechanisms (referral program)
- High-quality onboarding experience
- Local marketing and events
- Influencer partnerships
Contingency: Pivot to B2B model if B2C traction is slow
2. Technical Scaling Issues
Risk: System unable to handle growth, performance degradation
Mitigation:
- Implement architecture improvements (Issues #1, #2, #12)
- Regular load testing
- Monitoring and alerting
- Gradual rollout and capacity planning
- Cloud auto-scaling
Contingency: Aggressive optimization and infrastructure investment
3. Data Quality and Content Moderation
Risk: Poor event data quality, spam, inappropriate content
Mitigation:
- Robust event approval workflow
- ML-based spam detection
- User reporting system
- Community moderation
- Content guidelines and enforcement
Contingency: Manual moderation team
Medium Risk
4. AI Model Performance
Risk: Recommendations and matchmaking don’t improve engagement
Mitigation:
- A/B testing framework
- Continuous model improvement
- User feedback loop
- Fallback to rule-based recommendations
- Diverse recommendation strategies
Contingency: Delay AI features, focus on manual curation
5. Monetization Challenges
Risk: Low conversion to premium, vendor churn
Mitigation:
- Clear value proposition for premium
- Competitive pricing
- Feature gating based on user research
- Strong vendor ROI demonstration
- Flexible pricing tiers
Contingency: Alternative revenue models (advertising, events)
6. Competition
Risk: Established players or new entrants challenge market position
Mitigation:
- Focus on local market dominance
- Unique social and AI features
- Strong community building
- Fast iteration and innovation
- Strategic partnerships
Contingency: Differentiate on niche features or specific markets
Low Risk
7. Regulatory Compliance
Risk: GDPR or other regulations impact operations
Mitigation:
- GDPR compliance from day one
- Privacy-first design
- Regular audits
- Legal counsel
Contingency: Adapt quickly to regulatory changes
8. Technical Debt Accumulation
Risk: Technical debt slows development velocity
Mitigation:
- Dedicated time for technical debt (20% of sprints)
- Architecture review process
- Code quality standards
- Regular refactoring
Contingency: Technical debt sprint every quarter
Dependencies & Blockers
External Dependencies
Third-Party Services
- Firebase: Push notifications (critical)
- Backup: OneSignal or custom solution
- Supabase: Admin authentication and database (medium priority)
- Backup: Auth0 + PostgreSQL
- SendGrid: Email notifications (medium priority)
- Backup: AWS SES or Mailgun
- Stripe: Payment processing (Phase 4, critical for monetization)
- Backup: PayPal or Braintree
- MongoDB Atlas: Primary database hosting (critical)
- Backup: Self-hosted MongoDB on GCP
- Google Cloud Platform: Infrastructure hosting (critical)
- Backup: AWS or Azure
APIs and Data Sources
- Google Maps API: Geocoding and maps (critical)
- Backup: OpenStreetMap + Nominatim
- Facebook Events API: Event aggregation (optional)
- Backup: Manual import or web scraping
- Eventbrite API: Event aggregation (optional)
- Backup: Manual partnerships
Internal Dependencies
Team and Resources
- Mobile Developers (Flutter): MVP development
- Backend Developers (Node.js): Services and infrastructure
- AI/ML Engineers (Python): Recommendation and matchmaking
- DevOps Engineers: Infrastructure and deployment
- UI/UX Designers: App design and user research
- Product Manager: Roadmap and prioritization
- QA Engineers: Testing and quality assurance
Infrastructure
- GCP Access: Production deployment
- Domain: DNS configuration for subdomains
- SSL Certificates: HTTPS for all services
- App Store Accounts: iOS App Store and Google Play
- Budget: Cloud infrastructure costs, third-party services
Potential Blockers
-
App Store Approval Delays
- Mitigation: Submit early, have clear guidelines compliance
- Impact: 1-2 week delay in public launch
-
Database Performance Issues
- Mitigation: Indexing strategy (Issue #12), read replicas
- Impact: User experience degradation
-
Third-Party Service Outages
- Mitigation: Redundancy, graceful degradation
- Impact: Feature unavailability
-
Regulatory Approvals (GDPR, data privacy)
- Mitigation: Early compliance, legal review
- Impact: Launch delay or feature removal
-
Resource Constraints (team, budget)
- Mitigation: Prioritization, phased rollout
- Impact: Delayed features or reduced scope
Conclusion
This roadmap provides a comprehensive plan for Flow’s evolution from MVP to a monetized, scalable platform over 22 months (Q1 2026 - Q4 2027). Key success factors:
- MVP Focus: Ship a polished, functional MVP in Q2 2026
- User-Centric: Prioritize user engagement and retention before monetization
- Technical Excellence: Address architectural issues early (Issues 1-12)
- AI-Powered: Leverage AI for differentiation in recommendation and matchmaking
- Community Building: Focus on social features to create network effects
- Sustainable Growth: Balance user growth with infrastructure scaling
- Monetization Readiness: Build trust and value before introducing paid features
Next Steps:
- Review and approve roadmap with stakeholders
- Break down Phase 1 into detailed sprint plans
- Assign ownership for each major initiative
- Set up tracking for KPIs and metrics
- Establish regular roadmap review cadence (monthly)
Success Criteria: By end of 2027, Flow should be:
- A recognized brand in Italian event discovery
- Serving 100K+ active users across multiple cities
- Generating $50K+ MRR with path to profitability
- Scalable infrastructure supporting 10K+ concurrent users
- Strong community with 60%+ engagement rate
Document Version: 1.0.0 Last Updated: March 10, 2026 Maintained by: Flow Product Team Review Cadence: Monthly
Feedback and questions: Please create issues in /docs/issues/ or discuss in team meetings.