Yeah Sure – Virtual clothing try-on for eCommerce (and for giggles)

Hacker News

Hey HN! I’m Kanad, one of the creators of Yeah Sure ( https://yeahsure.ai/ ). I run a company called Potion. My team and I wanted to expand our Gen AI product offerings. So we started tinkering with image remixes, swapping outfits with friends, product photography etc. After playing around with a bunch of ideas, we got fixated on this weird virtual clothing try-on idea and built a product around it. We named the product “Yeah Sure”, because why-not-dot-com was already taken (womp womp). Why did we even ventured into building this particular product? - The corporate reason: eCommerce store owners (Amazon sellers, Shopify brands, etc.) needed a better way to generate high-quality product images without the time sink and cost of traditional photography. The real reason: The idea of virtually swapping clothes with friends sounded hilarious af. So we built it. It began as a "weekend thing" but the results were too good (and too funny), so here we are. Now, we want to help eCommerce brands generate pro-level visuals while having some fun along the way. Soooo, Yeah Sure is an AI clothing try-on for eCommerce (and for sh!ts n giggles). What “Yeah Sure” does - 1. AI try-on for clothing – Generate model images instantly, with any outfits of choosing. 2. Virtually window-shop outfits – Change outfits in your own photos to see how you’d look in that tie dye shirt. 3. Swap clothes with friends (because why not) – Try on your friend’s hoodie without actually wearing it. 4. API for eCommerce (that’s how we’d prolly make money) – Automate on-demand product images for your store. Link library - Website – yeahsure.ai Webapp – app.yeahsure.ai API Docs – docs.yeahsure.ai Please share your thoughts and feedback!

Visit product View on Hacker NewsFeb 27, 2025

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting

93%93% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: model, visual · Missing: mac, agents, macos

66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

20%20% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: shopify · Missing: arr, mrr, revenue

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: make money · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Yeah Sure40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI virtual clothing try-on in the wild

Product Hunt+18

TryOnfy55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI virtual try-on for clothing, hairstyles & accessories

Indie Hackers

Virtual Try-On43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI-Powered Virtual Try-On for Everyone

Indie Hackerscommitment-full-time

Tryvana58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Virtual Try On App

Indie Hackers1advertising

Hatable42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Are you sure it's l*vable 👀?

Product Hunt+466Chrome Extensions

Agalaz Fashion16%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Virtual Try on

Product Hunt

Fit. AI Virtual Try On29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Try it on before you buy

Indie Hackerscommitment-side-project

eCommerce microservice49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

eCommerce microservice

Hacker News5

Infusionismo66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tea ecommerce

Indie Hackers1$200/mob2c

Leheriya25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ecommerce

Product Hunt+6

Browse all products Analyze your launch