Social styling for the clothes you already own
A community, not a catalogue
Wearism is a social platform first. The wardrobe tools are what make the feed honest, since every look you see was assembled from clothes someone already owns, so it's advice you can actually act on.
Private groups for your actual friends. Post a fit before you leave and get an honest read in minutes, not a comment section full of strangers.
We match people on wardrobe overlap, not follower count. If someone owns what you own, their outfits are ideas you can genuinely copy tonight.
Monochrome Monday, no-buy September, one-bag week. Campus-level competitions that make wearing your own clothes the interesting move.
The problem
It's short of intelligence. People own more than any generation before them and feel less able to dress well than ever. Four numbers explain why.
You paid for all of it. Four out of five garments sit untouched. You own a full wardrobe and wear a fifth of it.
80%
of your wardrobe never gets worn
Seventeen minutes, gone. Choosing between the same few things.
17 min
spent deciding what to wear, daily
Most of it still wearable. Binned not because it wore out, but because nobody remembered owning it.
92 million tons
of clothing thrown away every year
Everyone is selling you more. Not one platform is solving the eighty percent already hanging in your room.
0
apps built around the clothes you already own
None of this is a shopping problem. It's a visibility problem and it's the one we build for.
Your wardrobe, working
Wearism reads what you own, then keeps finding combinations inside it — matched to the weather, the occasion and the way you actually dress. No new purchases involved.
Post one photo. The AI separates every garment and tags category, colour, season and formality on its own.
Every item carries its real price the jacket that cost $120 and has been worn twice has nowhere to hide.
It tells you what's genuinely missing from your closet, which is almost never what's on sale.
Swap, don't buy
Borrow a jacket for one night or trade it for good. Wearism matches people on size and taste inside circles they already trust, tracks both sides of the exchange, and shows the impact it avoided.
Yours
TheirsMaya R.
Same campus
15 kgCO₂e avoided
Yours
TheirsEthan K.
Same dorm
11 kgCO₂e avoided
Yours
TheirsChloe S.
Style circle
6 kgCO₂e avoided
0.0×
more wear from a swapped garment
0 $
cost to refresh a wardrobe
0%
of swaps tracked and confirmed
One app for the whole loop: the closet, the stylist, the feed and the swap.
See how it worksiOS and Android
Wearism is a mobile app. The feed, the closet, the stylist and the swaps all happen on the phone that already takes the photos.
Thursday · 24°C
From your closet
Linen overshirt · Straight denim · White sneakers
Why it works
Interface shown is representative of the build currently in testing.
How it works
Post an outfit photo or connect Instagram. The AI separates every garment and tags it on its own.
No manual entry
Combinations you own but never tried, scored on fit and colour, matched to the weather and the occasion.
Explained, not guessed
Share the fit to your circle. Honest feedback from people who know you, before you walk out.
Private or public
Trade the piece you're bored of with someone nearby. Tracked both ways, with the impact shown.
Loan or keep
Who it's for
Consumers make the wardrobe data. The wardrobe data makes the demand signal. The demand signal is what brands have never been able to buy.
You already own more than you wear, and you're not buying your way out of it. Wearism turns your room, your dorm and your campus into one shared closet.
Free tier
$0
No — that's the barrier that kills every other wardrobe app. Post a normal outfit photo and the AI separates each garment out of it. You can also bulk-upload a batch, or connect Instagram and let it read your existing posts to build the wardrobe backwards.
The core loop is free: digitising your wardrobe, daily outfit suggestions, and the community. Premium is $1.79 a month for unlimited AI recommendations, occasion and weather styling, wardrobe analytics, the planner and private circles.
You browse wardrobes inside your circle, propose a trade, and both sides confirm. Shipping is self-arranged for now with mandatory tracking numbers shared in-app, photo confirmation on receipt, and a trust score on every account. Swaps can be temporary loans or permanent.
No. Brands never see your photos, your identity or your raw wardrobe. They see aggregated, anonymised gap data — that a few thousand closets in a region are missing lightweight tailoring, for instance. Matching happens on our side. Image uploads are opt-in and encrypted.
Age estimation classifies to about 85% accuracy on range, and clothing classification covers 50+ categories trained on DeepFashion. It isn't perfect — you can correct any tag by hand, and low-confidence predictions get flagged rather than presented as fact.
Yes. Plenty of people will only ever want the digital closet and the daily stylist. Circles, feeds and swapping are all opt-in, and the app is useful on day one with an audience of exactly one.
A demand dashboard of live wardrobe gaps, promoted placements inside outfit recommendations rather than beside them, return-risk scoring before you spend, and conversion analytics. Onboarding is a one-time $179 fee and we take 5% on attributed sales.
Waitlist open · Launching in United States first
Get early access when the beta opens, or talk to us about launching as a vendor or licensing the engine.
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