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AI Fashion tech app - Production Build
Launching our production builds, AI Fashion, Global distri.
Most fashion apps are storefronts. Cheeky starts with your closet: snap your own clothes and it mixes them with new pieces, giving you recommendations that complete what you already own, not "people also bought." Talk to the AI voice stylist ("something for a rooftop dinner") and it builds the look in real time. Feeds learn your taste, sold-out items vanish, last-call pieces get flagged, and prices include taxes up front. Other apps make you scroll a mall. Cheeky builds one around your closet.
Hey Product Hunt! 👋
Cheeky started with a very unglamorous moment: standing in front of a full closet, phone in hand, buying yet another top that went with nothing I owned.
Every shopping app I tried had the same blind spot. They knew everything about what stores wanted to sell me and nothing about what was already hanging in my wardrobe. So I kept buying duplicates, kept returning things, and kept feeling like the "personalized" feed was really just a promo calendar.
I wanted an app that started from my side of the transaction. So Cheeky begins with your closet: you snap your own clothes, and every recommendation has to earn its place by working with what you already own. Then I added the thing I always wished existed in a fitting room, a stylist you can just talk to. Say "something for a rooftop dinner" out loud and it builds the look.
Some things I refused to compromise on: sold-out items should disappear, not tease you. Prices should include taxes up front. And alerts should tell you when something you actually saved drops in price, not spam you.
We built this, so every bug fixed and feature shipped came from real user feedback. I'd genuinely love yours: what would make you trust a shopping app with your closet?
Thanks for checking it out! 🖤
About AI Fashion tech app - Production Build on Product Hunt
“Launching our production builds, AI Fashion, Global distri.”
AI Fashion tech app - Production Build was submitted on Product Hunt and earned 3 upvotes and 2 comments, placing #81 on the daily leaderboard. Most fashion apps are storefronts. Cheeky starts with your closet: snap your own clothes and it mixes them with new pieces, giving you recommendations that complete what you already own, not "people also bought." Talk to the AI voice stylist ("something for a rooftop dinner") and it builds the look in real time. Feeds learn your taste, sold-out items vanish, last-call pieces get flagged, and prices include taxes up front. Other apps make you scroll a mall. Cheeky builds one around your closet.
On the analytics side, AI Fashion tech app - Production Build competes within Android, Fashion, Artificial Intelligence and E-Commerce — topics that collectively have 591.4k followers on Product Hunt. The dashboard above tracks how AI Fashion tech app - Production Build performed against the three products that launched closest to it on the same day.
Who hunted AI Fashion tech app - Production Build?
AI Fashion tech app - Production Build was hunted by Jaideep Pande. 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.
For a complete overview of AI Fashion tech app - Production Build including community comment highlights and product details, visit the product overview.
Jaideep Pande