Drape

The problem

Decision paralysis is real. You can have a full closet and still feel like you have nothing to wear — because the work of combining items into outfits is tedious, repetitive, and easy to get wrong. Styling apps exist but most require manual input or only work with new purchases.

The solution

Drape turns your existing wardrobe into a styled wardrobe. Photograph a clothing item, and Claude Vision automatically identifies its name, category, color, and style. From there, the outfit generator assembles combinations you haven't tried, with plain-English reasoning for why each look works and a gap analysis telling you exactly what one purchase would unlock the most new outfits.

What it does

• Wardrobe upload — photograph a clothing item, Claude Vision identifies name, category, color, and style automatically
• Smart grid — all your items in one place, organized and deletable
• Outfit generator — Claude assembles combinations you haven't tried, with reasoning for why each look works
• Shopping recommendations — gap analysis on your wardrobe; tells you exactly what one purchase would unlock the most outfits

Stack

What I learned

Vision models are genuinely good at clothing classification — better than I expected. The hardest part wasn't the AI, it was the UX of the upload flow: people photograph clothes in different lighting, on hangers, on their body, folded. Building a flow that works for all of those required a lot of iteration.