OUTFT is a style‑tracking app that records the outfits you actually wear and uses on‑device AI to decode your personal fashion profile. Users can view a live, interactive journal of their looks, receive a monthly “Wrapped” summary of style trends, and instantly analyze new photos with a camera feature that generates a detailed style DNA without storing images. The product focuses on providing quantitative insight into individual aesthetic preferences.
Funding
Funding not disclosed
Founders
Product
Problem
Many people lack objective insight into their personal fashion habits, relying on memory or subjective opinions, which makes it difficult to understand their style patterns, identify trends, and make informed wardrobe decisions.
Solution
OUTFT provides a mobile app that records the outfits users actually wear and converts the visual data into quantifiable style metrics. The app uses on‑device AI to analyze photos instantly, ensuring privacy by never storing images externally. Users can capture looks with a tap, view a live “Style DNA” breakdown that categorizes aesthetics such as quiet luxury or old‑money, and receive a monthly Wrapped summary that highlights dominant trends and palette preferences. The interface consists of a series of live, swipeable screens that allow users to flip through their daily logs, track streaks, and explore detailed metrics without leaving the app.
Target Audience
OUTFT is aimed at fashion‑conscious individuals who want data‑driven insight into their personal wardrobe, as well as style enthusiasts and influencers seeking a systematic way to track and share their aesthetic evolution.
Features
- On‑device AI photo analysis that processes images in real time and does not store them on a server
- Live, swipeable screens that display daily outfit logs, streak tracking, and instant style metrics
- “Style DNA” profile that quantifies aesthetic categories (e.g., quiet luxury, old‑money, Scandi) with percentage breakdowns
- Monthly Wrapped report summarizing the most consistent styles, color palettes, and trend frequencies
- One‑tap photo capture directly from the app, integrating the camera feed into the live style journal