OUTFYTAbout
A digital wardrobe engine built with product discipline.
Outfyt is founder-led by Arman Ajdani and built to make wardrobe decisions more useful, more sustainable, and easier to trust.
Founder
Arman Ajdani
Solo founder and product operator behind Outfyt.
Experience
10+ years Tech Lead
Hands-on technical leadership across shipped software systems.
Operating model
Independent and focused
A lean, founder-led product with direct accountability across product and trust.
Founders Story
Built from a real product problem, not fashion noise.
After more than a decade leading technical teams and shipping consumer software, Arman Ajdani kept seeing the same wardrobe problem in daily life: people own a lot, remember very little, and still feel stuck when they need to get dressed.
Outfyt started as a way to turn that invisible closet into a usable system. The goal was not to build another trend-heavy fashion app. The goal was to build a digital wardrobe engine that could actually help people see what they own, score outfits with readable logic, and make repeat wear feel easier.
That is why the product stays minimalist, explanation-first, and tightly focused on real wardrobe value.
Founder-led build
Arman Ajdani leads product, engineering, and trust decisions directly, keeping the product close to real user feedback.
Practical AI
Every scoring and wardrobe feature is designed to be understandable, not magical for its own sake.
Long-term wardrobe value
The product is built around reusing what you already own, not pushing unnecessary consumption.
Our Mission
Help people wear more of what they already own.
Sustainability in fashion tech should start with better use of existing clothes. Outfyt is built to improve wardrobe visibility, make outfit planning faster, and reduce the friction that leads to unnecessary buying.
Reduce closet waste
A better digital wardrobe should help people wear more of what they already own and buy with more intention.
Lower decision fatigue
Outfyt is designed to remove guesswork from everyday dressing so getting ready feels faster and calmer.
Make style more legible
Outfit scoring, wardrobe metadata, and occasion cues work together to make styling decisions easier to understand.
The Team
Intentionally lean, with the founder close to every important decision.
Outfyt stays compact on purpose. Product quality, AI behavior, support language, and trust policies are all kept close to the operator so the product can stay coherent and accountable.
Arman Ajdani
Founder, Product, and Engineering
Arman brings 10+ years as a Tech Lead and ships the core product, architecture, and roadmap directly.
AI Scoring Systems
Evaluation and calibration
The scoring layer is tuned around clear variables and useful explanations instead of opaque fashion judgments.
Design and Experience
Minimal interface quality
Every surface is shaped around clarity, trust, and calm product behavior so the wardrobe stays the focus.
Community and Support
Direct founder feedback loop
Support, product questions, and trust requests route directly to the founder at [email protected].