StylinAI
Weekly outfit drops, looks styled from your own wardrobe and shown on your body shape — your personal fashion magazine, powered by AI.
A startup from London, the United Kingdom that is founded by Nikolai Komarov.
Weekly outfit drops, looks styled from your own wardrobe and shown on your body shape — your personal fashion magazine, powered by AI.
A startup from London, the United Kingdom that is founded by Nikolai Komarov.
This page is designed to help you find out whether StylinAI is good and if it is the right choice for you.
Stylin AI is a free iOS app that acts as a personal stylist in your pocket. You photograph your wardrobe once, and the app builds a digital inventory of your clothes. From there, it suggests daily outfits based on your style preferences, body shape, colour palette, and what's actually in your wardrobe — not a generic model's.
When there are real gaps — a neutral layer you don't own, a work shoe that could unlock ten combinations — the app surfaces shopping picks from 250+ connected brands, matched to your taste and budget.
Listed in
Daily issue
Daily personalised fashion magazine issue
Personalised Feed
Outfits on human models selected for you
Instant feed
Generation of a feed based on user vibe request
Outfit editing
Editing any outfit based on user request
Live Weather
Refreshing outfit recommendations based on live weather in user location
Digital Wardrobe
Digitising and managing your wardrobe simply and quickly
Bodyshape models
Visualising outfits on models of selected body shape
Stylin AI styles the clothes you already own rather than pushing you to buy new ones. It catalogues your wardrobe, builds full outfits from your real pieces, and shows those looks on your own body shape instead of a generic model. It also delivers a weekly curated "outfit drop," like a personal fashion magazine, and only recommends new purchases to fill genuine gaps in your wardrobe.
Most AI styling and wardrobe apps focus on either cataloguing (Whering, Stylebook) or generic outfit suggestions (Acloset, Cladwell). Stylin AI combines both with a feature most competitors don't have: previewing outfits on your actual body shape, not a flat product photo or generic model. It's free on iOS, so you can try the full loop — catalogue, get outfits, see them on your shape — before spending anything.
We saw huge potential in solving an unsolved two-sided issue: difficulty for shoppers and inefficiency for brands and retailers, having also experienced it personally for years
Primarily style-conscious women dealing with everyday outfit decision fatigue — the "I have nothing to wear" problem — as well as people who want to dress for their specific body shape, build a capsule wardrobe, or get a second opinion before an occasion like an interview, date, or wedding.
Stylin AI serves individual consumers rather than named enterprise clients. It connects with 250+ fashion brands to power its shopping recommendations, though these are catalogue partners rather than case-study customers
StylinAI uses a comprehensive set of CNN deep learning models, including self fine-tuned, a broad stack of LLMs from multiple provides, in-house build vector technologies - all served through JS, TS and Swift front-end.
We have collected here some useful links to help you find out if StylinAI is good.
Check the traffic stats of StylinAI on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of StylinAI on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of StylinAI's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of StylinAI on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
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