WardrobeAI
Clothes from real designers. Picked for you. On your budget.
WardrobeAI is a curated clothing subscription service that sources from small businesses and boutique brands. We learn your personal style through a real conversation (not a multiple-choice quiz), match pieces within your monthly budget, and get better with every box based on your feedback.
Quick Links
| Page | Description |
|---|---|
| Home | You are here |
| Architecture | System design and tech stack |
| API Reference | Full endpoint documentation |
| Database Schema | Tables, fields, relationships |
| Product | Feature specs and user flows |
| Business | Pricing, affiliates, vendor plan |
| Roadmap | Phase details and exit criteria |
| Runbooks | Deploy, troubleshoot, add products |
| Decisions | Architecture Decision Records |
| SDLC | Development process and review gates |
Current Status
Phase 0: Foundation — Validating demand and building infrastructure.
- ✅ README published
- ✅ Brand identity defined
- ✅ Competitive analysis complete
- ✅ Customer personas drafted
- ✅ Vendor target list created
- ✅ Landing page spec complete
- ✅ MVP curation engine built (PR #31)
- ✅ Deployment guide written
- 🔲 Legal compliance checklist
- 🔲 Waitlist landing page deployed
- 🔲 50+ waitlist signups
Phase 1: MVP target: May — July 2026
- 20 founding customers
- Essential tier ($100/mo)
- Manual curation with AI assistance
- Feedback loop operational
Problem Statement
For customers: Shopping is overwhelming. Small designers are hard to find. Mass-market subscriptions feel generic. Style quizzes don't capture nuance.
For small designers: Hard to reach customers without massive ad budgets. Wholesale buyers require large minimum orders.
Our Differentiation
| Dimension | Others | WardrobeAI |
|---|---|---|
| Sourcing | Mass-market brands (Stitch Fix, Nordstrom) | Small business and boutique designers |
| Pricing | Per-item ($40-80/piece) | Monthly budget ($100 or $250) |
| Onboarding | Multiple-choice quiz | Conversational style interview |
| Learning | "Style Shuffle" that doesn't iterate | Structured feedback loop |
| Constraints | One-size-fits-all | Invariants — your hard lines honored |
| Custom | Off-the-rack only | AI design-on-demand (Phase 3+) |
Tech Stack
- Frontend: Next.js (React), Tailwind CSS, mobile-first
- Backend: Node.js + Express, SQLite (MVP)
- AI/ML: Python curation service, LLM for style interview (Phase 2+)
- Payments: Stripe
- Hosting: Vercel (frontend) + Railway/Fly.io (backend)
- Analytics: Umami (self-hosted)
- Infrastructure: Storj for static assets
- Source Control: Forgejo at os.scoble.me
Repository
- Repo: sscoble/wardrobe-ai
- Issues: All issues
- Labels: market, feature, engineering, business, legal, improvement
Contributing
All changes go through PR review with required gates:
@engineering— Code quality, architecture@trust— Security review@market— Product requirements@cos— Final approval and merge
See SDLC for full process.