Live

Vestiari

A Sustainable Digital Wardrobe App

Started March 2026

Live at vestiari.app

30 Registered Users

Metrics

Registered users

Active users

Tech Stack

Frontend

React 18 + TypeScriptVite 5React Router DOM 6shadcn/uiTanStack React Query 5React Hook Form + ZodRechartsFramer MotionCloudflare TurnstileGoogle Analytics GA4

Backend

Supabase Cloud (PostgreSQL)Supabase Cloud AuthSupabase Cloud StorageSupabase Cloud Edge FunctionsGoogle Gemini 2.5Stripe

Marketing Landings

Astro 6 + Tailwind CSS 4React 19TinaCMS

About

Vestiari is a digital wardrobe and outfit management web app built as part of a personal challenge to ship one project per month.

Users catalogue their clothing, build and save outfits, track what they wear, and get AI-powered styling suggestions. The AI layer runs on Google Gemini 2.5 and powers everything from automatic garment tagging on upload to outfit generation, model visualisation, and trip packing suggestions.

Built without a development background using Claude Code, Supabase, and Stripe. Migrated from Lovable to a self-hosted stack on cPanel. Deploys via GitHub Actions on push to production.

Marketing Site — Separate Astro 6 static site with TinaCMS, Tailwind CSS 4, and full i18n (EN/ES/DE/CA with hreflang tags). Landing page, how-it-works walkthrough with locale-specific YouTube embeds, and CMS-editable privacy

Features

Closet

Upload and tag garments with brand, size, colour, season, fabric, and price.

Outfits

Build and save outfit combinations with an AI-generated flat-lay image.

Diary

Log daily wear to track outfit repeats and cost-per-wear over time.

Stats

Analytics on garment usage, cost, and wardrobe gaps.

AI Stylist

Outfit suggestions based on season, weather, and occasion.

Catwalk

Visualise outfits on an AI-generated model.

Expedition

Pack for trips with AI-assisted outfit planning.

Public Profiles

Share your wardrobe publicly at my.vestiari.app/u/:username.

Multilingual

Available in English, Spanish, Catalan, and German.

Screenshots

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