mirror of
https://github.com/SamyRai/turash.git
synced 2025-12-26 23:01:33 +00:00
4a2fda96cd
- Initialize git repository - Add comprehensive .gitignore for Go projects - Install golangci-lint v2.6.0 (latest v2) globally - Configure .golangci.yml with appropriate linters and formatters - Fix all formatting issues (gofmt) - Fix all errcheck issues (unchecked errors) - Adjust complexity threshold for validation functions - All checks passing: build, test, vet, lint
87 lines
4.4 KiB
Markdown
87 lines
4.4 KiB
Markdown
## 24. Summary & Implementation Priorities
|
|
|
|
*For detailed tactical roadmap with monthly milestones, see [28_project_roadmap.md](28_project_roadmap.md)*
|
|
*For high-level prototype roadmap with phase breakdowns, see [24_prototype_roadmap.md](24_prototype_roadmap.md)*
|
|
|
|
### Lessons Learned Integration
|
|
|
|
**Critical Findings from 30+ Platform Analysis** (See [Section 30](../concept/30_lessons_learned_application_analysis.md) for full analysis):
|
|
|
|
1. **Critical Mass Requirements**: 50+ participants required (not 20-50) for meaningful network effects
|
|
2. **Local Clustering**: ≥70% participants within 5km radius (40% higher match rates)
|
|
3. **Data Quality Strategy**: Progressive refinement with scoring and incentives (prevents "data quality death spiral")
|
|
4. **Hybrid Automation**: 80% automated matches, 20% facilitated (prevents "facilitation dependency")
|
|
5. **Geographic Expansion**: Must achieve 50+ participants AND ≥20% match rate before expanding (prevents "geographic overreach")
|
|
|
|
### Implementation Priority
|
|
|
|
1. **Critical for MVP** (Revised based on lessons learned):
|
|
- ADR framework
|
|
- Go 1.25 stack setup (Gin/Fiber, Neo4j driver, NATS/Redis Streams)
|
|
- Basic caching (Redis)
|
|
- Security foundation (JWT, OAuth2)
|
|
- **Data Quality Scoring System** (prevents data quality death spiral)
|
|
- **Economic Calculations Integration** (must-have feature for match acceptance)
|
|
- **Hybrid Automation Model Definition** (automated vs. facilitated routing)
|
|
- **50+ Participants Target** (critical mass threshold)
|
|
|
|
2. **Important for Scale**:
|
|
- Event-driven architecture with Go workers
|
|
- Graph database optimization
|
|
- Go 1.25 experimental features (JSON v2, GreenTea GC)
|
|
- Monitoring (Prometheus, OpenTelemetry)
|
|
- **IoT Integration Priority** (30%+ integration rate target by Phase 2)
|
|
- **Facilitator Marketplace** (enables hybrid automation model)
|
|
- **Data Quality Incentives** (progressive refinement requirements)
|
|
|
|
3. **Future Enhancements**:
|
|
- GraphQL (gqlgen)
|
|
- Mobile app (PWA)
|
|
- Advanced analytics
|
|
- gRPC microservices
|
|
- AI/ML integration (Phase 3+, appropriately timed)
|
|
|
|
### Key Go 1.25 Advantages
|
|
|
|
- **Performance**: 10-40% GC overhead reduction with GreenTea
|
|
- **JSON**: 3-10x faster with JSON v2
|
|
- **Container**: Automatic CPU resource management
|
|
- **Concurrency**: Goroutines for efficient parallel processing
|
|
- **Deployment**: Single binary, smaller containers
|
|
|
|
### Technical Spine
|
|
|
|
That's your **technical spine**. It's tractable, uses boring reliable tech (Neo4j + Go 1.25 + React), and scales linearly with data.
|
|
|
|
You can build a credible demo in a quarter and have something real to sell to municipalities or industrial parks before you ever touch pipes or pumps.
|
|
|
|
### Tactical Execution Priorities (From User Feedback Integration)
|
|
|
|
**MVP Focus Areas** (address cold start and adoption):
|
|
1. **Multi-Channel Data Acquisition**:
|
|
- **Seed Data**: Import public registries, building footprints, utility maps, industry association data
|
|
- **Forced Adoption**: Bundle with mandatory processes (CSRD, energy audits, municipal permits)
|
|
- **Partner Ingestion**: Utilities/industrial parks provide anonymized facility data
|
|
- **Incentive Rewards**: Priority matching for complete profiles, fee discounts for data contributors
|
|
2. **Privacy-First Design**: Public/network-only/private tiers with anonymized discovery
|
|
3. **Low-Capex Matches**: Focus on waste pickup, maintenance, shared services (no pipes required)
|
|
4. **Trust Building**: White-label municipal operation, industry association backing
|
|
5. **Facilitator Ecosystem**: Curate and train local engineering/ESG consultancies with platform templates
|
|
|
|
**Revenue Model Evolution**:
|
|
1. **Free Tier**: See + Match (drive network effects)
|
|
2. **Basic**: Shared OPEX deals (€50/facility/month)
|
|
3. **Business**: Full symbiosis + facilitators (€150/facility/month)
|
|
4. **Enterprise**: Integration + white-label (€500/facility/month)
|
|
|
|
**Channel Strategy**:
|
|
- **Utility Partnerships**: They provide data, you provide UI
|
|
- **Municipal Dashboards**: Charge cities, give companies free access
|
|
- **Facilitator Marketplace**: 10-20% commission on intermediated deals
|
|
|
|
**Success Metrics**:
|
|
- 20 companies, ≥5 actionable matches, ≥3 implemented connections
|
|
- ≥60% data completion rate, clear revenue path within 6 months
|
|
|
|
Each recommendation should be evaluated against project constraints (time, budget, team expertise) and documented as an ADR when implemented.
|