We only wear 20% of our clothes because we forget what we own. Smartli digitizes your wardrobe, acts as a daily weather-aware AI stylist, and tracks your cost-per-wear. For the 80% you never wear? It estimates resale value and writes the listing for you
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Maker
π
Hey Product Hunt! π I'm a solopreneur based in Malaysia, currently in the middle of a '12 Startups in 12 Months' challenge. Smartli is my latest live app.
The problem I wanted to solve is simple: we only wear 20% of our clothes. The other 80% just causes 'decision fatigue' every morning. I wanted to build a tool that not only acts as a daily AI stylist to help you actually wear what you own, but also helps you get rid of the rest.
If you have clothes sitting in your closet that you haven't worn in a year, Smartli will estimate their high/low resale value and instantly generate an SEO-optimized listing for Depop or Poshmark so you can finally declutter.
I've been building this solo and dealing with the chaos of context-switching, so any feedback on the UI, the AI styling logic, or the pricing estimates would mean the world to me. I'll be hanging out in the comments all day to answer questions!
@lakshmi_kaanthanΒ The 'cost-per-wear' metric is a complete game-changer for intentional spending. We talk about ROI in SaaS all the time, but applying it to a physical wardrobe is brilliant for reducing waste. Also, having the AI write the resale listings for the 'forgotten 80%' removes the biggest friction point of decluttering. Does the weather-aware stylist account for 'feels like' temperatures or just the base forecast? Congrats on the launch!
Hello Aria
@lakshmi_kaanthanΒ The 'cost-per-wear' metric is a complete game-changer for intentional spending. We talk about ROI in SaaS all the time, but applying it to a physical wardrobe is brilliant for reducing waste. Also, having the AI write the resale listings for the 'forgotten 80%' removes the biggest friction point of decluttering. Does the weather-aware stylist account for 'feels like' temperatures or just the base forecast? Congrats on the launch!