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SnapPeach
See any outfit on you before you buy - in ~10 seconds
Hey PH,
I built SnapPeach because online clothes shopping is guesswork. You can't tell how something will actually look on you, so you buy a few sizes and send most back.
SnapPeach puts a fitting room on every store. Hover any product photo, click Try it on, and you get a photoreal render of you wearing it in about 10 seconds. No retailer deals, it works on any site.
Photoreal try-on recently got cheap enough to run per image, so I shipped it as a Chrome extension instead of waiting for stores to build it.
Your photos never leave your device. Processed in memory, never stored.
First 10 try-ons are free. I'd love your feedback, especially the cases where the renders break.
- Kunal
The "fitting room on every store, works on any site" angle is way more useful to me than the single-retailer try-ons that only work where they are already built in. Day-one question: do I set my photo up once and it is reused across every site, or is it a fresh upload per garment — and can I save or share a render, or does it vanish when I leave the page? Trying to work out whether this fits a real "send the look to a friend before I buy" moment.
Finally tried this on a jacket I was eyeing and it actually looked realistic, not like a rough sticker. The ten second claim feels accurate too.
"processed in memory, never stored" is a good privacy line but it leaves one thing ambiguous: does that memory processing happen locally in the browser, or does the photo get sent to a server to generate the photoreal render and just not get persisted afterward? those are very different privacy claims even if the end result (nothing stored) is the same, and "never leaves your device" earlier in the pitch reads like the former.
Tried it on a couple of sites and it actually delivered, the preview popped up while I was browsing Nordstrom and the fit looked right. Way more useful than I expected for a quick checkout decision.
Tried it on a few clothing sites and it actually worked faster than I expected, like under 10 seconds for real. The try-on preview looked pretty natural on me, not uncanny at all.
Tried it on a couple of sites and it really did pop on me in like 15 seconds, which honestly surprised me. The fit looked pretty natural too, not stretched or warped like other try-on tools I have tested.
Finally a try-on tool that actually works on random sites, not just the brand's own page. The fit on a linen shirt looked close enough to my shoulders that I'd trust it for a first-pass yes or no.
Congrats on launching! The 10-second claim is bold, how consistent is the output when the product photo is low quality or shot at a weird angle? Fashion sites vary wildly in image quality, so I'm curious how it handles the messy real world. Also smart choice making it a Chrome extension instead of yet another app; meeting people where they already shop makes a lot of sense.
Tried on multiple websites it removes the hassle of returns. Nice product saved a lot of time
Being able to see how a piece looks on me before buying would honestly save me from so many returns. One thing I'd love is a side by side comparison mode where I can try two or three garments at once on the same page, makes it way easier to actually decide which one to go with.
Tried it on a few shirts on a random site and it actually worked faster than I expected, the fit preview was close enough to my usual size to be useful.
About SnapPeach on Product Hunt
“See any outfit on you before you buy - in ~10 seconds”
SnapPeach was submitted on Product Hunt and earned 23 upvotes and 27 comments, placing #15 on the daily leaderboard. SnapPeach is a Chrome extension that shows you wearing any garment on any shopping site, in about 10 seconds.
SnapPeach was featured in Chrome Extensions (52.7k followers), Fashion (14.5k followers), Wearables (182.6k followers) and E-Commerce (41.7k followers) on Product Hunt. Together, these topics include over 42k products, making this a competitive space to launch in.
Who hunted SnapPeach?
SnapPeach was hunted by Kunal Kakade. 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 SnapPeach stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Kunal Kakade