Wardrobe intelligence, with a community around it.

Controlled beta

A private wardrobe, built with her

With member consent, Nico turns purchase receipts into private wardrobe candidates. She reviews them, confirms what she still owns and chooses whether to sell, swap, gift or lend. Receipt import and private closets are being tested in a controlled beta.

First product to validate · Planned

Ask Nico what to wear

She describes the occasion, place and dress code. Nico would start with confirmed pieces from her own wardrobe and suggest outfit options, then learn from what she chose and how it worked. Recommendations would use verified weather and event details.

Future concepts · Later

Nearby sharing and swipe discovery

Later, she could browse pieces other members chose to share, or borrow an optional nearby piece with the owner's permission. Swipe matching, proximity discovery and direct store connections are future concepts, tested only after the wardrobe assistant proves repeat use. Demo videos of these concepts are available inside the private Investor Room.

The foundation and the next layers

The beta foundation uses React 19, TanStack Start and TypeScript, with PostgreSQL, private storage, AI-assisted receipt extraction and resumable import jobs. The planned next layer is occasion-aware styling from her confirmed wardrobe. Consented geolocation, swipe-to-owner requests and permission-based retailer connections follow later.

A community-powered go-to-market

Podcast interviews, clips and the guest network bring women into the first Nico pilot. The member community, city gatherings and trusted providers give them reasons to return.

Business model vision

Opportunities to validate

The first opportunity to validate is a Nico subscription for the wardrobe assistant. Clearly labeled brand and retailer placements, shopping commissions, provider services, exchange fees and events are later options, each tested against retention, product use and demand.