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VELVET AI
Your AI fashion agent. Try it on. Buy what fits.
VELVET is a conversational AI fashion agent for discovery, outfit building, and virtual try-on. Tell it your vibe, browse pieces you'll actually love, build full looks, and see them on your photorealistic Digital Double before you buy. Upload what you already own into your digital closet, follow friends and tastemakers, and try their outfits and collections as Velvet learns your taste, tracks the pieces you love, and makes fashion shopping feel far more personal. For you, not the other way ever.
Hey PH, Ed here, co-founder of VELVET, building from Berlin with my co-founder Karim.
We got tired of how fashion shopping still works online. You scroll through hundreds of products, open too many tabs, guess what might work, and still have no real confidence before buying.
So we built VELVET: a conversational AI fashion agent for discovery, outfit building, and virtual try-on. You can describe what you want in natural language, browse curated pieces, build a full look in Outfit Studio, and see it on your photorealistic Digital Double before you buy.
What’s live today on iOS:
conversational fashion discovery
Outfit Studio for building full looks
virtual try-on with your Digital Double
a digital closet where you upload what you already own
a social layer where you can follow friends and tastemakers, and try their outfits and collections
This is our first public launch on Product Hunt, and we’d genuinely love honest feedback
What would you want a fashion agent to do that no app does today?
About VELVET AI on Product Hunt
“Your AI fashion agent. Try it on. Buy what fits.”
VELVET AI was submitted on Product Hunt and earned 6 upvotes and 1 comments, placing #77 on the daily leaderboard. VELVET is a conversational AI fashion agent for discovery, outfit building, and virtual try-on. Tell it your vibe, browse pieces you'll actually love, build full looks, and see them on your photorealistic Digital Double before you buy. Upload what you already own into your digital closet, follow friends and tastemakers, and try their outfits and collections as Velvet learns your taste, tracks the pieces you love, and makes fashion shopping feel far more personal. For you, not the other way ever.
On the analytics side, VELVET AI competes within Fashion, Artificial Intelligence and Shopping — topics that collectively have 485k followers on Product Hunt. The dashboard above tracks how VELVET AI performed against the three products that launched closest to it on the same day.
Who hunted VELVET AI?
VELVET AI was hunted by Ed Rihan. 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 VELVET AI including community comment highlights and product details, visit the product overview.
Ed Rihan
Hey PH, Ed here, co-founder of VELVET, building from Berlin with my co-founder Karim.
We got tired of how fashion shopping still works online. You scroll through hundreds of products, open too many tabs, guess what might work, and still have no real confidence before buying.
So we built VELVET: a conversational AI fashion agent for discovery, outfit building, and virtual try-on. You can describe what you want in natural language, browse curated pieces, build a full look in Outfit Studio, and see it on your photorealistic Digital Double before you buy.
What’s live today on iOS:
conversational fashion discovery
Outfit Studio for building full looks
virtual try-on with your Digital Double
a digital closet where you upload what you already own
a social layer where you can follow friends and tastemakers, and try their outfits and collections
This is our first public launch on Product Hunt, and we’d genuinely love honest feedback
What would you want a fashion agent to do that no app does today?