This product was not featured by Product Hunt yet.
It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Product comments vs the next 3
Product upvote speed vs the next 3
Product upvotes and comments
Product vs the next 3
TryIt
Your AI-powered virtual fitting room
TryIt is an AI-powered virtual try-on app built for Duke apparel. Students can see themselves in Duke clothing before buying, mix and match different pieces, describe an outfit with a prompt, or get personalized outfit recommendations. We’ve also brought TryIt into the Duke Stores shopping experience, connecting AI try-on with real products students can purchase.
Top comment
Hey Product Hunt! 👋 I’m Bowen, one of the builders behind TryIt. We started TryIt because shopping for university apparel still feels surprisingly old-fashioned—you usually have to browse static product photos or physically try everything on to know what actually looks good on you. TryIt brings AI into that experience. Right now, it’s built around Duke apparel: you can virtually try on products, mix and match different pieces, describe the look you want with a prompt, and get outfit recommendations. We’ve also been working with Duke Stores to bring TryIt into the actual shopping experience, so this isn’t just a demo—we’re testing how AI try-on can work alongside real products and real customers. We’re still early, and we’d especially love feedback on the try-on experience, recommendations, and what you’d want from a product like this if we expanded beyond Duke. Thanks for checking out TryIt!
About TryIt on Product Hunt
“Your AI-powered virtual fitting room”
TryIt was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #152 on the daily leaderboard. TryIt is an AI-powered virtual try-on app built for Duke apparel. Students can see themselves in Duke clothing before buying, mix and match different pieces, describe an outfit with a prompt, or get personalized outfit recommendations. We’ve also brought TryIt into the Duke Stores shopping experience, connecting AI try-on with real products students can purchase.
On the analytics side, TryIt competes within iOS, Fashion and Artificial Intelligence — topics that collectively have 604.6k followers on Product Hunt. The dashboard above tracks how TryIt performed against the three products that launched closest to it on the same day.
Who hunted TryIt?
TryIt was hunted by Bowen Jiang. 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 TryIt including community comment highlights and product details, visit the product overview.