Other AI stylists want you to photograph 100 items one by one. Layered reads your selfies instead and builds your closet for you. Get daily outfit picks from what you already own, Pinterest-style lookbooks from any new dress, and travel capsules packed for your destination, weather, and luggage size. Need more? Track cost-per-wear, spot clothes you never wear, plan cleanups, and get tomorrow's outfit on a Home screen widget.
I'm an indie iOS dev, and I'm the wrong person to build a wardrobe app: I wear gym t-shirts all year round.
I own maybe 100 things and rotate 12 of them, so when I left for Canada on a one-way ticket last year, I had to figure out which items to actually pack. There are plenty of "AI stylists" on the App Store, but every one I tried wanted me to photograph items one by one against a white background. Instead of spending two hours on that, I spent a few months building the app (instead of packing, that is).
There are three main ways to use it: 1. Upload a bunch of selfies. Layered reads them and builds your closet for you. 2. Drop a photo of a new dress. It turns it into a clean Pinterest-style lookbook - removes wrinkles, folds neatly - and saves into your digital wardrobe. 3. Got a trip next week? It packs a capsule wardrobe for your destination, weather, and luggage size. This is the feature I didn't expect anyone else to care about, and now it's the one people use most. It also comes with analytics (from cost-to-wear to wardrobe ROI), AI stylist chat bot, and lots of other tools like "style DNA" to get recommendations of what to wear or analyse gaps in your closet.
I'm still figuring out monetisation - it goes heavy on tokens - so everyone gets 5 free AI interactions before the paywall. To celebrate the PH launch, here are some heavily discounted monthly codes:
Love this! I tried a wardrobe tracking app but dropped it fast. Photographing every piece one by one was tedious, and the built-in crop tool ruined the outfit inspiration feature entirely. Curious whether the app can recognize brand logos or labels from a selfie?
The cost-per-wear tracking is interesting but requires knowing what you paid for each item. Does the app ask you to input prices manually, or is there some other way it pulls that data? Because if it's manual entry, that's another friction point that might kill adoption — the same way photographing 100 items one by one does.
Every other wardrobe app I've tried makes you photograph every single shirt individually and I gave up after like 10 items. Reading selfies you already have and building the closet from that is such a lower friction approach. Does it handle casual vs work context? Like would it suggest different outfits depending on whether I have meetings that day vs working from home?
Interesting idea. How accurate is it at understanding what people actually own from just selfies, especially with things that aren’t clearly visible?
About Layered on Product Hunt
“Turn your selfies into a personal AI stylist”
Layered launched on Product Hunt on April 12th, 2026 and earned 137 upvotes and 12 comments, placing #7 on the daily leaderboard. Other AI stylists want you to photograph 100 items one by one. Layered reads your selfies instead and builds your closet for you. Get daily outfit picks from what you already own, Pinterest-style lookbooks from any new dress, and travel capsules packed for your destination, weather, and luggage size. Need more? Track cost-per-wear, spot clothes you never wear, plan cleanups, and get tomorrow's outfit on a Home screen widget.
Layered was featured in iOS (110.2k followers), Fashion (14.5k followers) and Artificial Intelligence (466.2k followers) on Product Hunt. Together, these topics include over 128.1k products, making this a competitive space to launch in.
Who hunted Layered?
Layered was hunted by Vadim Drobinin. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Layered stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Vadim Drobinin
Hey Product Hunt 👋
I'm an indie iOS dev, and I'm the wrong person to build a wardrobe app: I wear gym t-shirts all year round.
I own maybe 100 things and rotate 12 of them, so when I left for Canada on a one-way ticket last year, I had to figure out which items to actually pack. There are plenty of "AI stylists" on the App Store, but every one I tried wanted me to photograph items one by one against a white background. Instead of spending two hours on that, I spent a few months building the app (instead of packing, that is).
There are three main ways to use it:
1. Upload a bunch of selfies. Layered reads them and builds your closet for you.
2. Drop a photo of a new dress. It turns it into a clean Pinterest-style lookbook - removes wrinkles, folds neatly - and saves into your digital wardrobe.
3. Got a trip next week? It packs a capsule wardrobe for your destination, weather, and luggage size. This is the feature I didn't expect anyone else to care about, and now it's the one people use most.
It also comes with analytics (from cost-to-wear to wardrobe ROI), AI stylist chat bot, and lots of other tools like "style DNA" to get recommendations of what to wear or analyse gaps in your closet.
I'm still figuring out monetisation - it goes heavy on tokens - so everyone gets 5 free AI interactions before the paywall. To celebrate the PH launch, here are some heavily discounted monthly codes:
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6MPEE3AXEAJXPATTHN
WTX88884KEK68YP48W
PT47XYL7TTW37THTAL
6HXP8J3XPKTAM7X3LW
And while you're here: what's the one outfit decision you'd pay an AI to make for you?