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Malva
Try it on with one click, everywhere you already shop.
Most of what's launching today is for developers. This one's for all of us who get dressed in the morning. 🙂 If you shop online, the only thing worse than a bad outfit is waiting five days to find out. With Malva, try anything on first, embedded across 130+ brands, on your own digital twin.
Hi everyone, I'm Chi, founder of Malva. Most of what's launching today is for developers. This one's for all of us who get dressed in the morning 🙂 . Before this, I worked in fashion with Zara, Black Opal, and ASOS. I saw brands spend millions creating beautiful product photos while shoppers were still asking the same question: "Yeah... but what will it look like on me?" Two questions I know are coming, so let's start the conversation:
1. Isn't AI try-on solved? - No, not really. Generating one image of someone in an outfit is becoming commodity tech. Any good model can do that. What's hard is everything around it. It's discovering clothes you'll actually like, trying them on with one click, and getting sizing recommendations based on your real measurements matched against the retailer's actual size data.
2. How's this different from other try-on apps? - Well, most try-on apps sell to retailers as a single brand widget and this creates a disconnected experience on every site. Malva is built to be yours, not theirs.When Walmart bought Zeekit, everyone using it lost access overnight.
Here's the honest version of where this goes. Today, Malva is two doors into the same closet, a browser extension and a web app built around one shopping twin. The goal is to erase that distinction. Long
term, an agent finds the pieces across retailers, pulls them onto your twin, compares size, fit, and price, and drops the best matches in your inbox. One shopping twin. Unconstrained by stores. Then, one click checkout.
This is why I'm building Malva. And why the name Malva? Hint, hint, I was born in South Africa. Drop a comment if you know what it's named after.
It’s free to try. Share your thoughts, good, bad, or brutally honest 🌸
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About Malva on Product Hunt
“Try it on with one click, everywhere you already shop.”
Malva was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #104 on the daily leaderboard. Most of what's launching today is for developers. This one's for all of us who get dressed in the morning. 🙂 If you shop online, the only thing worse than a bad outfit is waiting five days to find out. With Malva, try anything on first, embedded across 130+ brands, on your own digital twin.
Malva was featured in Chrome Extensions (52.7k followers), Fashion (14.6k followers), E-Commerce (41.8k followers) and Shopping (1.5k followers) on Product Hunt. Together, these topics include over 41.4k products, making this a competitive space to launch in.
Who hunted Malva?
Malva was hunted by Chi Chinake. 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 Malva stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Chi Chinake
Hi everyone, I'm Chi, founder of Malva. Most of what's launching today is for developers. This one's for all of us who get dressed in the morning 🙂 . Before this, I worked in fashion with Zara, Black Opal, and ASOS. I saw brands spend millions creating beautiful product photos while shoppers were still asking the same question: "Yeah... but what will it look like on me?" Two questions I know are coming, so let's start the conversation:
1. Isn't AI try-on solved? - No, not really. Generating one image of someone in an outfit is becoming commodity tech. Any good model can do that. What's hard is everything around it. It's discovering clothes you'll actually like, trying them on with one click, and getting sizing recommendations based on your real measurements matched against the retailer's actual size data.
2. How's this different from other try-on apps? - Well, most try-on apps sell to retailers as a single brand widget and this creates a disconnected experience on every site. Malva is built to be yours, not theirs. When Walmart bought Zeekit, everyone using it lost access overnight.
Here's the honest version of where this goes. Today, Malva is two doors into the same closet, a browser extension and a web app built around one shopping twin. The goal is to erase that distinction. Long
term, an agent finds the pieces across retailers, pulls them onto your twin, compares size, fit, and price, and drops the best matches in your inbox. One shopping twin. Unconstrained by stores. Then, one click checkout.
This is why I'm building Malva. And why the name Malva? Hint, hint, I was born in South Africa. Drop a comment if you know what it's named after.
It’s free to try. Share your thoughts, good, bad, or brutally honest 🌸