Your wardrobe, synced.

ClosetSync automatically builds your closet from your email order history — no photo uploads — and tells you, while you shop, whether a new item works with what you already own.

Early access opens summer 2026. We'll only email you about ClosetSync.

Clean wardrobe with curated clothing
closetsync.fit/wardrobe
Your Wardrobe
25 items synced from your Gmail
All Top Bottom Dress

How it works

Three steps. No photos. No effort.

Phone with email inbox
01

Connect your inbox

One-click Gmail OAuth, scoped to read-only access on order confirmations from your favorite retailers.

Organized closet with clothing
02

Your wardrobe appears

We parse 18 months of receipts and build your closet automatically. Most users see 40-80 items in 60 seconds.

Woman shopping online
03

Shop smarter, instantly

Our browser extension shows you, on Amazon, Zara, Myntra and more, whether a new item works with what you own.

See it while you shop

Our browser extension follows you to Zara, H&M, Amazon, Myntra and more — instantly tells you whether a new item works with what's already in your closet.

ZARA
Black Pleated Midi Dress
$89.00
×
Goes with 6 items in your wardrobe
Top matches from your closet:

The wardrobe app, reimagined

Every other wardrobe app makes you upload photos of every item. We don't.

Other wardrobe apps

  • Manually photograph every item
  • Background-removal one item at a time
  • Tag, categorize, organize manually
  • Use as a separate destination app
  • Most users abandon after 10 items

ClosetSync

  • Connect Gmail, wardrobe appears
  • Hundreds of items in 60 seconds
  • Auto-tagged with brand, color, category
  • Lives where you shop — Amazon, Zara, Myntra
  • Zero ongoing effort to keep updated

For people who buy clothes online & never wear them.

The average online shopper buys 60+ items a year. The average wardrobe is built around 20. ClosetSync helps you actually wear what you own — and stop buying duplicates.

Built by engineers who shop online too much.

We've been building large-scale data systems for years. Now we're using LLMs to solve a problem we live with — knowing what's in our closet and what to do with it.

Join the waitlist