Indosso helps you decide what to wear based on your closet, the weather, and what you're actually doing. It builds outfits from the clothes you already own — no photos of your real clothes required. Personalize your closet from a built-in catalog of 500+ items, 100+ colors, and 60+ patterns, then get three looks every time: Calm, Polished, and Bold. Weather-aware, occasion-aware, and available in 7 languages.
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Maker
📌
Hey Product Hunt 👋 I'm Kevin, the solo founder of Indosso.
What it is: a free outfit generator. You tell it the occasion, it checks the weather, and it builds three complete looks — Calm, Polished, Bold — from the clothes you actually own. You pick the one you like.
Who it's for: anyone who stands in front of a full closet and still feels like they have nothing to wear — especially when the weather or the occasion makes the call harder.
Why I built it: every wardrobe app wanted me to photograph my whole closet first, and none of them factored in the actual weather. So I built the thing I wanted: weather-first, occasion-aware, no tedious closet-photography step.
What's different: weather-aware by default · three looks every time so you choose the register · no closet photos required · works in 7 languages on web + Android.
Honest about limits: it styles what you own, it doesn't sell you clothes. iOS is on the roadmap; today it's web + Android.
I'd love your feedback — what works, what's confusing, what you'd want next. Try it at indosso.app 🙏
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Curious how the three looks get generated from just catalog picks without ever seeing my actual clothes. Does it learn my style over time or is each outfit basically starting from scratch?
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Maker
@gltengeityxl4 Good question! Indosso doesn't need photos because you build your closet from a built-in catalog — 500+ item types, 100+ colors, 60+ patterns — so when you add "navy linen shirt, tan chinos, brown loafers," it knows your actual pieces, just described instead of photographed.
From there each generation scores combinations from your closet against the occasion, the activity, and the live weather, then gives you three takes — Calm, Polished, Bold. Your closet is saved, so it's not starting from zero each time; it also factors in your recent outfit history so you're not handed the same look twice.
On learning: right now it's a rules-based engine, not one that builds a taste profile of you over time — that's deliberate for launch (predictable, no weird assumptions). Per-user personalization — where the app adapts to how you actually dress, even against the defaults — is exactly where I want to take it next. Appreciate the question!
Curious how the three looks get generated from just catalog picks without ever seeing my actual clothes. Does it learn my style over time or is each outfit basically starting from scratch?
@gltengeityxl4 Good question! Indosso doesn't need photos because you build your closet from a built-in catalog — 500+ item types, 100+ colors, 60+ patterns — so when you add "navy linen shirt, tan chinos, brown loafers," it knows your actual pieces, just described instead of photographed.
From there each generation scores combinations from your closet against the occasion, the activity, and the live weather, then gives you three takes — Calm, Polished, Bold. Your closet is saved, so it's not starting from zero each time; it also factors in your recent outfit history so you're not handed the same look twice.
On learning: right now it's a rules-based engine, not one that builds a taste profile of you over time — that's deliberate for launch (predictable, no weird assumptions). Per-user personalization — where the app adapts to how you actually dress, even against the defaults — is exactly where I want to take it next. Appreciate the question!