fashion social platform development

Outfits.bio

Internet Engineering built Outfits.bio as a fashion social platform with wardrobe in the cloud, outfit sharing, color-matching recommendations (rbcm), and image tooling (rmbg), using Next.js, tRPC, Prisma, and a Turbo monorepo with Expo mobile.

Outfits.bio helps users discover and share outfits with a link-in-bio style presence. The outfits-bio GitHub org contains the main app, a Turbo monorepo, open-source color-matching technology, and background-removal tooling.

  • Fashion
  • Social
  • Computer vision

Status: Sunset: learnings applied to later products

Outfits.bio product screenshot

What was the challenge?

Fashion social products need fast visual discovery, reliable media processing, and social loops that feel native on mobile, without a heavyweight content moderation stack blocking iteration.

How did Internet Engineering approach it?

We used the T3 Stack for the primary app (Next.js, NextAuth, Prisma, Tailwind, tRPC), a Turbo repo for shared packages, rbcm for color-similarity recommendations, and rmbg (InSPyReNet-based) for background removal. Expo and Swift PWA repos cover mobile experiments and distribution.

What did we ship?

  • outfits-bio/app: main social product
  • outfits-bio/outfitsbio-turbo: monorepo tooling
  • outfits-bio/rbcm: open-source color matching
  • outfits-bio/rmbg: background removal package
  • outfits-bio/expo: mobile exploration

What were the outcomes?

  • AI-powered outfit recommendations via color similarity pipeline
  • Reusable open-source modules (rbcm, rmbg) usable beyond the main app
  • Social sharing and wardrobe management in a single brand surface
  • Roadmap for mobile return with try-on and shopping features

What stack was used?

  • Next.js
  • TypeScript
  • tRPC
  • Prisma
  • Tailwind CSS
  • Turborepo
  • Expo
  • Bun
  • node-vibrant
  • colorjs.io

Public GitHub repositories