Initial commit: README, directory structure, and project foundation
- Comprehensive README with project overview, market opportunity, competitive differentiation - Repository structure: brand/, business/, engineering/, legal/, marketing/, operations/, product/, research/, site/ - Roadmap: Phase 0 (Foundation) through Phase 4 (Expansion) - Tech stack: Next.js, PostgreSQL, Python/Node, Stripe, Storj
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# wardrobe-ai
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# WardrobeAI
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WardrobeAI — a curated clothing subscription service sourcing from small businesses and boutique brands, with AI-powered style matching, fit feedback loops, and on-demand design/tailoring.
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> Clothes from real designers. Picked for you. On your budget.
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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.
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## The Problem We're Solving
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**For customers:**
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- Shopping is overwhelming — thousands of options, no curation
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- Small designers are hard to find (buried on Etsy, hard to discover on Instagram)
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- Mass-market subscriptions feel generic — same brands everyone else wears
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- "Style quizzes" don't capture the nuances of your body and life
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- The feedback you give doesn't seem to change what you get
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**For small designers:**
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- Hard to reach customers without massive ad budgets
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- Wholesale buyers require large minimum orders
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- No direct feedback on why items don't sell
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## Our Approach
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| What Others Do | What We Do |
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|---|---|
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| Source from mass-market brands (Stitch Fix, Nordstrom) | Source from small businesses and boutique designers first |
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| Per-item pricing ($40-80 per piece) | Monthly budget you choose ($100 or $250) |
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| Multiple-choice style quiz | Real conversation — style interview with a human feel |
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| "Style Shuffle" that never learns | Structured feedback loop that actually improves |
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| One-size-fits-all | "Invariants" — your hard lines, honored (no florals, no synthetics, etc.) |
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| Off-the-rack only | AI design-on-demand: "I want this shape in that fabric" — custom made |
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## Product Tiers
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### Essential — $100/mo
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- 3-5 clothing items per month
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- From small businesses and boutique brands
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- Style interview and feedback loop included
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- Shoes, bags, jewelry available as add-ons
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### Signature — $250/mo
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- 4-8 clothing items per month
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- Higher-end boutique brands
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- Early access to new designers
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- Concierge-level style interview
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### Custom — Variable
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- You set the budget
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- You choose the components (clothing only, or full wardrobe)
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- Custom frequency (monthly, quarterly, etc.)
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- Priority access to AI design-on-demand
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## Market Opportunity
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- **$7 billion** global fashion subscription market
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- Growing at **6.1% CAGR** (2025-2034)
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- No incumbent dominates the "small business boutique" niche
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- Stitch Fix is mass market; Rent the Runway is rental; no one is budget-capped with boutique curation
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## Competitive Landscape
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| Company | Model | Our Differentiation |
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|---|---|---|
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| **Stitch Fix** ($1.6B market cap) | AI + human stylist, mass brands | We source from small businesses; we have budget caps |
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| **Wantable** | Curated edits, $20 styling fee | We have a real conversation, not a quiz; our feedback loop learns |
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| **DailyLook** | Premium styling, $40 styling fee | We start at $100/mo, not premium; we honor hard constraints |
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| **Dia & Co** | Plus size niche | We're size-inclusive but not niche-restricted |
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| **Rent the Runway** | Rental subscription | We sell, not rent; you keep what you love |
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**The niche we own:** Small business curation with budget caps and real learning.
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## Technology Stack
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- **Frontend:** Next.js (React), Tailwind CSS, mobile-first
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- **Backend:** Node.js or Python (FastAPI), PostgreSQL + Redis
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- **AI/ML:** Python service for curation; LLM integration for style interview and invariants parsing
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- **Payments:** Stripe (subscription billing)
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- **Hosting:** Vercel (frontend) + Railway/Fly.io (backend)
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- **Analytics:** Umami (self-hosted, already deployed)
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- **Infrastructure:** Storj for static assets, potential 3PL for warehousing (Phase 2)
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## Repository Structure
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```
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wardrobe-ai/
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├── brand/ # Brand identity, positioning, customer personas
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├── business/ # Pricing, financial model, vendor targets, roadmap
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├── engineering/ # Architecture, curation engine, tech docs
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├── legal/ # Compliance, terms, policies
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├── marketing/ # Social strategy, content calendar, viral playbook
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├── operations/ # Return logistics, shipping, warehouse transition
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├── product/ # Style interview, feedback system, invariants, landing page
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├── research/ # Competitive analysis, market data
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└── site/ # Landing page source (Astro SSG)
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```
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## Roadmap
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### Phase 0: Foundation (Months 1-2)
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- Brand identity finalized
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- 10-20 customer discovery interviews
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- 5-10 vendor partners identified
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- Landing page + waitlist live
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- Legal structure + insurance
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**Goal:** 50+ waitlist signups, 3+ vendor commitments
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### Phase 1: MVP (Months 3-5)
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- 20 founding customers (friends, family, early signups)
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- Essential tier only ($100/mo)
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- Manual curation with AI assistance
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- Web app: style interview + feedback
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- Manual returns processing
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**Goal:** 60%+ keep rate, NPS 40+
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### Phase 2: Growth (Months 6-9)
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- Signature tier launch ($250/mo)
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- AI curation engine v2
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- TikTok + Instagram content machine
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- Referral program
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- 100 subscribers
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**Goal:** 65%+ keep rate, 10%+ MoM organic growth
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### Phase 3: Scale (Months 10-18)
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- 500+ subscribers
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- AI design-on-demand pilot
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- Warehousing or 3PL transition
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- 30+ active vendors
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- Mobile app
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**Goal:** 70%+ keep rate, positive unit economics
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### Phase 4: Expansion (Months 18-36)
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- 2000+ subscribers
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- Men's clothing vertical
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- Plus-size specialization
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- AI design-on-demand full launch
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- Potential Series A or profitable bootstrapping
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## Issues & Project Management
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All work is tracked via [Forgejo Issues](https://os.scoble.me/forgejo/sscoble/wardrobe-ai/issues).
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**Labels:**
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- `market` — Market research, competitive analysis, customer personas
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- `feature` — Product features and design
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- `engineering` — Technical implementation and architecture
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- `business` — Pricing, financials, vendor partnerships
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- `legal` — Compliance, terms, policies
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- `improvement` — Documentation and process improvements
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## Why This Matters
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Fashion is personal. It's how we present ourselves to the world. But the current options are either overwhelming (do-it-yourself shopping) or generic (mass-market subscriptions).
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We believe there's a middle path: curated discovery from real designers, within a budget that makes sense, with a system that actually learns what works for *you*.
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Supporting small businesses while helping people feel like themselves. That's WardrobeAI.
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---
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*Work in progress. Phase 0 — validating demand and building the foundation.*
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