Save known fit context
A shopper records a small number of jeans they already understand, including brand, style, size, and simple fit labels.
InseamIQ is a mobile app in MVP development that helps online apparel shoppers choose a better starting size using their own fit history.
The product is currently being built and tested as an Android-first mobile app. The working MVP includes account sign-in, fit profile, known-pair entry, product URL checks, recommendation result screens, recent history, and saved fit memory.
A shopper records a small number of jeans they already understand, including brand, style, size, and simple fit labels.
The shopper pastes or shares a product URL for a pair they are thinking of buying.
InseamIQ returns a ranked starting point with confidence and caveats, rather than presenting the answer as a guarantee.
The MVP is being developed around real app routes and states, not only marketing copy. Public detail is intentionally high-level while the product remains in private testing.
Current private-MVP screens show how InseamIQ captures trusted fit context, checks a product link, and guides shoppers with confidence language rather than certainty.





The first product scope is deliberately narrow so the app can be useful and honest before expanding to broader apparel categories.
Recommendations are framed as guidance with confidence and risk language, not certainty.
The product is not yet a public consumer launch. It is being developed and tested before broader availability.