Ryan Zhou
Web AppFull-stack2025

Vintdex

Full-stack web application for tracking and predicting market prices for vintage clothing.

Vintdex
01Problem

Vintage resale pricing is opaque — comparable sales scatter across platforms and vanish when items sell, leaving buyers and sellers guessing.

02Build

A Next.js app backed by Supabase that aggregates listing and sale data, normalizes it per item, and surfaces price history and trend estimates in a clean dashboard.

03Result

A single source for what specific pieces actually trade for over time, turning scattered listings into a legible market signal.

Product Surface

Vintdex product surface

Technical Specification

Stack
  • Next.js
  • Supabase
  • Tailwind CSS
RoleFull-stack
Year2025

Highlights

  • Automated data pipeline aggregating listings across platforms
  • Per-item price history and trend estimates
  • Supabase-backed data layer with auth

Next

VIA