Co-founder: Seema
Status: Schema deployed, onboarding flow ready
GitHub: https://github.com/nvsudo/jodi
AI-powered matchmaking for the Indian diaspora. Tier-based onboarding (T1 → T2 → T3 → T4) with 100+ data point framework for intelligent matching.
jodi/
├── backend/ # Bot & orchestration (Python + Telegram)
│ ├── bot.py # Main bot
│ ├── onboarding/ # Tier-based flow
│ └── matching/ # Matching logic (Phase 2)
│
├── webform-intake/ # Web intake form (Phase 2)
│ └── [Next.js app]
│
├── docs/ # Product docs & tracking
│ ├── PRODUCT_TRACKER.md
│ ├── ROADMAP_SUMMARY.md
│ └── SCHEMA_VERIFICATION_REPORT.md
│
└── README.md (this file)
Supabase:
- Project ID: herqdldjaxmfusjjpwdg
- Region: AP South 1 (Mumbai)
- Schema: 11 tables (profiles, matches, user_preferences, user_signals, conversation_logs, photos, interactions, match_feedback, tier_progress, profile_readiness, users)
Connection:
Project ID: herqdldjaxmfusjjpwdg
Database URL: postgresql://postgres.herqdldjaxmfusjjpwdg:syO9opxb37SlEV9Q@aws-1-ap-south-1.pooler.supabase.com:5432/postgres
cd backend/
python3 bot.pycd backend/
fly deployCompleted:
- ✅ Database schema (100+ data points)
- ✅ Onboarding flow (T1 → T2 → T3 → T4)
- ✅ Telegram bot integration
- ✅ Out-of-order capture logic
Next:
- Matching algorithm (Phase 2)
- Web intake form (Phase 2)
- Photo upload
- WhatsApp channel
- Seema: Co-founder, product owner
- Kavi: Backend, deployment
- Blitz: Bot logic, orchestration
All changes and decisions are logged as single-line entries in ops/run-log.md. Every code change or product decision made during a session gets a dated one-liner there.
Let's ship. 🚀