First outfit
Can a new user add enough real clothes and reach a recommendation they would wear?
Measure activation and time to valueW2W is a consumer iOS app that turns a saved wardrobe into outfit recommendations for the day ahead. We’re building around a frequent, practical decision: what to wear.
Start a conversationDigitizing a wardrobe takes effort. That effort needs to pay back quickly, in the form of an outfit someone can wear today.
W2W connects owned clothing with weather, occasion, comfort preferences, and wear history. The intended first users are style-conscious iPhone owners who want more use from their existing clothes.
The opportunity depends on execution: easier capture, a useful first recommendation, and enough repeat value to build a habit. Those are the outcomes we need to measure.

Selected-photo and product-image intake, garment review, wardrobe browsing, weather-aware recommendations, saved looks, and wear feedback.
Release-candidate testing on iPhone, production weather verification, and paid-service configuration where included. Development screenshots demonstrate the interface, not release readiness.
Time to the first usable outfit, activation, retention, and willingness to pay. W2W is pre-traction; these are validation questions, not reported results.
The proposed model keeps wardrobe capture and basic daily styling free. Paid plans add planning depth and larger allowances for optional cloud intelligence.
Proposed US launch pricing. Paid availability, final feature boundaries, and pricing remain subject to release validation.
Conversion alone will not establish the model. We also need to understand retention and the cost of serving free and paid users, including cloud usage and platform fees.
Can a new user add enough real clothes and reach a recommendation they would wear?
Measure activation and time to valueDoes W2W become part of getting dressed after the novelty of setup has passed?
Measure outfit use and cohort retentionWhich planning and intelligence features are worth paying for at a sustainable cost?
Measure conversion, usage costs, and churnW2W began with David’s own college morning routine: asking Siri for the weather, then asking what to wear and getting no useful answer. He decided to build the missing connection between the forecast and his wardrobe.
The current focus is completing release validation and testing the product with real wardrobes.
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