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2026

SignatureStyle

A wardrobe organised by identity

  • Web app
  • Installable
  • Personal library

Skills

A personal style app organised around who you are, not around what kind of garment something is.


Challenge

Wardrobe apps sort by category: tops, shoes, outerwear. That mirrors how a shop is arranged, not how anyone decides what to wear, and it quietly turns every app into a shopping prompt. Getting dressed is an identity decision before it is a garment decision, and no tool was modelling it that way.

Action

I designed the app around user-defined style archetypes instead of fixed garment types, so people name their own modes and map real wardrobe pieces, outfits, and inspiration images onto them. It's built in React and TypeScript on Vite, with data in an isolated Postgres schema on a shared Supabase project and images compressed to webp in the browser before upload so the storage footprint stays small. The interface follows a strict design rule of no borders or outlines anywhere, depth carried entirely by shadow, which keeps a dense visual grid of clothing readable without adding lines that compete with the garments themselves.

Result

The identity-first model changes what the app is for. Because categories are the user's own language rather than retail taxonomy, the natural next action is to combine what you already own instead of to fill a gap, which is the opposite of what wardrobe apps usually optimise for.