Yarnn, your pocket stylist

Koussay Zayani

Yarnn, your pocket stylist
I used to waste ten precious minutes every morning staring at a full closet and seeing nothing to wear. Friends felt the same pain. They bought great pieces but never matched them well, forgot what they owned, or dressed for the wrong weather. That gap called for a smarter dresser.
A new ritual, not another app
Yarnn opens with the forecast baked into the header because weather is the first rule of style. The AI then scans your digital closet, balances the temperature with other occasions (such as daily errands, sports, or date night), and suggests two ready-to-wear looks. Swipe away an outfit, and Yarnn learns your taste in real-time.
Tap Planner to lock tomorrow's fit. Tap the Camera to add new pieces; the model automatically tags them by color, fabric, and category, keeping your closet tidy without requiring manual data entry. Every micro-interaction is animated to keep the experience playful and light.
My role
I mapped user frustrations, sketched flows, and built high-fidelity screens in Figma. All motion lives in Reanimated, tuned for 60 fps on mid-range phones.
Early wins
Users cut "what do I wear" time from ten minutes to under two.
Yarnn turns decision fatigue into delight. If you need a product designer who can bring a concept to life in a polished and animated reality, let's talk.
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Posted Jul 5, 2025

Designed Yarnn app to reduce outfit decision time using AI and animations.

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Timeline

Jan 8, 2025 - Jan 23, 2025

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