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← Selected work

AI virtual try-on, from model benchmarks to the App Store

Client
Stylr
Period
Apr 2026 – present
Role
Founder and sole engineer; design with a product designer
Stylr on the App Store

Problem

Shoppers can't see how clothes look on them; stores lose conversions and eat returns. Existing try-on tools are slow, expensive or ugly.

What I built

  • Try-on lab that benchmarks generation models side by side (Wan, Qwen Image, FLUX, SeedVR2 upscaling, SAM 3 garment cleanup, Gemini) and picks the pipeline per garment type.
  • Fastify API owning auth, data and jobs (Clerk, Drizzle, Neon): closet, outfits, feed, credits, daily look.
  • Expo mobile app (iOS, on the App Store), Next.js marketing site, embeddable widget for partner stores, admin analytics and job inspector.
  • Studio mode that prints SVG designs from my own catalogue (SVG Otter) onto garments.

Result

Live on the App Store (version 1.3, English and Croatian). Beta testing in Croatia; widget ready for store integrations.

Screens

Original photo
Original photo
Garment
Garment
AI try-on result
AI try-on result
stylrapp.io marketing site
stylrapp.io marketing site

Stack

  • Expo / React Native
  • Next.js 15
  • Fastify 5
  • TypeScript
  • Drizzle
  • Neon Postgres
  • Clerk
  • S3
  • DashScope / fal.ai
  • Railway
  • Vercel

Links