Wardrowbe

AI wardrobe management — snap, organize, and get styled

4 followers

AI wardrobe management — snap, organize, and get styled

4 followers

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Snap a photo of your clothes and Wardrowbe does the rest. AI tags every item by type, color, and style, then suggests complete outfits based on today's weather, your schedule, and what you actually like to wear. It learns from your feedback, tracks what you've worn, and even lets you virtually try on clothes before getting dressed. Available on web and mobile(soon).

This is the 2nd launch from Wardrowbe. View more

Wardrowbe

Launching today

Your wardrobe, organized. AI outfit suggestions everyday

Wardrowbe photographs your clothes, tags them automatically with AI (type, color, style, formality), and suggests complete outfits every morning based on weather, occasion, and what you actually like wearing. Most people wear about 20% of their closet. Wardrowbe fixes that by surfacing forgotten pieces, tracking what you reach for, and learning your style over time. Available as a cloud app (iOS, web) or fully self-hosted with Docker. The entire codebase is open source.

Free Options

Launch tags:Fashion•Artificial Intelligence•GitHub

Launch Team

Synter MCP for Claude & Cursor — The most performant Ads MCP available to use with Your AI

The most performant Ads MCP available to use with Your AI

Promoted

Maker

📌

I built Wardrowbe because I kept buying clothes I didn't need while ignoring half of what I already owned. I'd stand in front of my closet every morning and somehow convince myself I had nothing to wear. Which is objectively insane when you look at the pile. So I started simple. Photograph everything, let AI tag it, and get a suggestion in the morning. That was the first version. Just a notification before my alarm with an outfit that actually made sense for the weather. It grew from there. The app now tracks what you wear, learns what you like, finds pairings you wouldn't think of, and recently added virtual try-on so you can preview outfits before committing. There's also family support so my partner and I share a household but keep our own wardrobes and preferences. A few things I think are worth mentioning: - It's open source. The full app is on GitHub. You can self-host it on your own server with Docker and bring your own AI model. Nothing held back, no feature gating between free and paid. The cloud version exists for people who don't want to maintain infrastructure. - Privacy is the default. No behavioral tracking, no ad partnerships, no training on your data. Your closet photos stay yours. Delete your account and everything goes with it. - The AI actually improves. When you skip a suggestion or mark an outfit as worn, that feeds back into the system. It's not just random combinations. After a couple weeks it starts to get your taste right. - iOS app just went live. Android is in beta (you can sign up on the site). Web dashboard works on everything. - Currently running a launch deal, 60% off the first year with code LAUNCH60 if you want to try the cloud version. There's also a 7-day free trial with no credit card. Happy to answer any questions about the tech, the self-hosting setup, or honestly anything. Been working on this for a while and I'm genuinely curious what people think.

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1d ago

Previous Wardrowbe Launches

WardrowbeAI wardrobe management — snap, organize, and get styled

Launched on February 18th, 2026