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Borderless

Built at Meta Global AI Developer Hackathon · Oct 26, 2026 · Remote

Borderless — Demo video

Wardrobe Scout is an open source Claude Code plugin (MIT) that helps you get dressed and buy clothes well, cheaply and second-hand, built around one hard rule: a look has to feel like you and be comfortable at the same time. The problem I know firsthand: I'm autistic, and I keep wearing the same few fabrics because they're the ones I can stand all day. A tag that scratches, a waist that squeezes or a jacket that rustles can ruin a whole day. In the social conversation around fashion that counts against me, and shopping pushes you either to the generic or to collector pieces out of reach. Second-hand shops have the middle ground (good mid-range brands, natural fabrics, fair prices), but finding it is exhausting. How it works: 1. Looks on your photo. From one photo of you, your sizes and your comfort rules, it generates rounds of four full-body looks with your own face. Every dislike becomes a rule ("no stiff denim"). 2. Your closet. It's a conversation, not a swipe game: you tell it what you bought, send a photo of each piece, and your closet grows, with a note on how each piece feels after a real day. 3. Real days. You name a day you have ahead (a loud gallery opening, eight hours at the studio, Sunday lunch with family) and it dresses you from what you already own, sending your photo and your pieces to Meta's Muse Image in one call. Every look has to pass two questions at once: does it feel like me, and can I wear it the whole time. 4. The one missing piece. When a day needs something you don't have, it hunts that piece second-hand on Vinted, Depop, Vestiaire Collective and eBay in your own signed-in browser, checks fabric, size, condition and shipping, and builds a shopping list page for your phone. It never buys anything and never messages sellers. Buy less, buy right, and feel like yourself.

Team