# Aesty

Aiolum story: https://aiolum.com/story/aesty/ · added 2026-10-27 · updated 2026-10-27

**In short.** Aesty (AI stylist and outfit planner for iPhone, with virtual try-on of outfits from screenshots and the user's own wardrobe, Singapore (Aesty Labs Pte. Ltd.; the founders work from Dubai)): US$10.1K MRR at the last RevenueCat sync, September 2026. Evidence grade A: disclosed by a company or a filing, or verified by a payment processor. Team: 2 co-founders, Nadia Zueva (CEO) and Andrei Rychkov (CTO); headcount not published. Launched July 2024; still running, revenue falling.

AI stylist and outfit planner for iPhone, with virtual try-on of outfits from screenshots and the user's own wardrobe · Singapore (Aesty Labs Pte. Ltd.; the founders work from Dubai) · AI-native · team of 2 to 10 · still running, revenue falling · group: Health and appearance

- Outcome: US$10.1K MRR at the last RevenueCat sync, September 2026 (evidence grade of the headline number: A; headline in US dollars: 120768)
- Launch: July 2024; months from launch to the outcome: 26
- Team: 2 co-founders, Nadia Zueva (CEO) and Andrei Rychkov (CTO); headcount not published
- Outside funding: Antler investment in 2025, amount not disclosed in the sources read
- Main factor: Niche
- Meters, 1 to 4: evidence strength 3, copyable pattern 2, capital needed 2
- Tags: AI-native, Small team, Funded, Running, B2C, Fashion

**The product.** An iPhone app that styles the clothes a person already owns. The user adds clothes from the camera, the photo library or a scan of the camera roll, and the app sorts them by category and color. A screenshot of an outfit from Instagram, TikTok or Pinterest is split into its pieces, shown on a personal avatar made from the user's own full-body photos, matched with pieces from the user's closet, and linked to shops for the pieces that are missing. It also plans outfits for each day of the week, analyzes the user's colors and has a chat with an AI stylist. Subscriptions are sold in the App Store and through a web style quiz.

**Why it worked.** Many people own enough clothes and still do not know what to wear, and a screenshot of a look they like does not tell them how it would look on them or what in their closet goes with it. Aesty answers both questions with image models from OpenAI and Google, and sells the answer by the week, the month or the year. TrustMRR, reading the company's RevenueCat account, showed US$67,971 of revenue in total and US$10,064 of monthly recurring revenue from 688 subscriptions at the last sync on 22 September 2026.

Evidence grades: A = disclosed by a public company, a filing or a payment processor, or verified by one; B = two or more independent reports agree, or a journalist confirmed it; C = a founder claim that no one else verified; D = reported, not verified: one founder claim or a third-party estimate with no second source; calc = computed on this page from graded facts.

## Summary

Aesty is an AI stylist app: a program that suggests what to wear, here from the clothes that the user already owns. Its main feature is virtual try-on, in which an image model generates a picture of the user wearing a chosen outfit, so the user can see the fit before wearing or buying it. The user uploads mirror selfies or full-body photos to build an avatar, adds clothes from photos, and then turns screenshots of outfits from social media into looks on that avatar, combined with pieces from the closet and shopping links for the rest. The privacy policy says that the try-on and styling features send photos to "third-party AI providers (OpenAI, Google Gemini)".

Osome, the company that set up Aesty's legal entity, describes the founders as Nadia Zueva (CEO) and Andrei Rychkov (CTO), a married couple of software engineers based in Dubai. Nadia Zueva told Osome: "I'd been working with neural networks for 10 years". They joined Antler, an investor that funds early-stage startups, and incorporated Aesty Labs Pte. Ltd. in Singapore on 16 June 2025. The app's earliest review on the US App Store is dated 10 July 2024. TrustMRR, a site that reads revenue directly from a company's payment account through an API key, shows for Aesty's RevenueCat account (RevenueCat is a service that manages App Store and web subscriptions for app makers) US$67,971 of revenue in total, a best month of US$8,953 in January 2026, and monthly recurring revenue (MRR, the monthly value of all active subscriptions) of US$10,064 from 688 subscriptions at the last sync on 22 September 2026.

The revenue figures are grade A, but they stop on 22 September 2026, when the API key that TrustMRR uses expired. Monthly revenue fell from about US$8,300 in January to March 2026 to about US$5,100 in July to September, while the MRR rose by 79.9% in the last 30 days before the sync. The team, the funding and the history come from the company's pages and a vendor's customer story, grade C. The page also shows earlier fashion startups that tried to give people styling advice or a virtual closet, and why they failed.

## Pricing

Aesty prices on 27 October 2026: App Store in-app purchases from the US App Store listing, and the web plans and guides from the style quiz's script (grade C)

| Plan | Per month, billed yearly (US$) | Per month, billed monthly (US$) | Limit |
|---|---|---|---|
| Pro, App Store | 4.17 to 6.67 | 14.99 to 19.99 | weekly also offered at US$6.99 to US$9.99 a week; yearly price US$49.99 or US$79.99 |
| Max, App Store | 20.83 | 29.99 | yearly price US$249.99 |
| Web plan, 1 week |  | 4.99 a week | style quiz paywall |
| Web plan, 4 weeks |  | 9.99 | style quiz paywall; marked as the highlighted plan |
| Web plan, 12 weeks | 6.66 |  | US$19.99 a quarter |
| Style guide (color, or body shape), web | 9.99 one-time |  | personalized PDF from the quiz answers |
| Both style guides, web | 14.99 one-time |  | personalized PDFs |

The App Store listing shows ten in-app purchases, with several prices for the same plan name (Pro Weekly at US$6.99, US$7.99 and US$9.99; Pro Monthly at US$14.99 and US$19.99; Pro Annual at US$49.99 and US$79.99); the listing does not say which price a buyer sees, and the sources do not say what Pro and Max include. Per-month values for yearly and quarterly plans are calculated on this page (price divided by 12 or by 3). The web style quiz at aesty.ai/quiz ends in a paywall with 1-week, 4-week and 12-week plans and an "Offer expires in 14:59" timer, and sells one-time PDF style guides. The terms offer "a conditional 30-day money-back guarantee" for subscriptions bought outside the App Store; App Store purchases follow Apple's refund rules.

## How much revenue does Aesty make? The numbers, graded

US$67,971 of RevenueCat-verified revenue in total and US$10,064 of monthly recurring revenue from 688 subscriptions at the last sync on 22 September 2026, after monthly revenue fell from its January 2026 peak

| Fact | Value | Grade | Note | Sources |
|---|---|---|---|---|
| Monthly recurring revenue (MRR), 22 September 2026 | US$10,064 from 688 active subscriptions | A | TrustMRR, read from the company's RevenueCat account through an API key; revenue last synced 22 September 2026 at 02:31 UTC. 30-day MRR growth: +79.9%. Re-read on 27 October 2026 with the same figures. | [1] |
| Run rate from the MRR | about US$120,768 a year | calc | Calculated: 10,064 times 12. This is the outcome amount stored for this page. | [1] |
| MRR per subscription | about US$14.63 a month | calc | Calculated: 10,064 / 688. Within the range of the App Store plans, from US$4.17 a month (Pro yearly) to US$29.99 (Max monthly), and below the weekly plans, which come to about US$30 or more a month. | [1, 2] |
| Verified revenue, all time, to 22 September 2026 | US$67,971 | A | TrustMRR. Last 12 months: US$64,712; last 6 months: US$26,353; last 3 months: US$10,783; last 30 days: US$6,778, marked +38.3% against the 30 days before. | [1] |
| Revenue by month | Oct 2025 US$12.78; Nov US$2,566; Dec US$4,509; Jan 2026 US$8,953; Feb US$7,835; Mar US$8,214; Apr US$6,269; May US$5,825; Jun US$5,206; Jul US$4,771; Aug US$4,921; Sep US$5,630 to 22 September | A | TrustMRR monthly table. The twelve months add up to US$64,712, the last-12-months figure. | [1] |
| Revenue before the twelve-month table | US$3,259 | calc | Calculated: all time US$67,971 minus the last 12 months US$64,712. So the app earned some money before late September 2025; the sources do not show when. | [1] |
| Fall from the best months | 38.7% from January to March 2026 to July to September 2026 | calc | Calculated: the average of January to March is US$8,334 a month, the average of July to September is US$5,107 (September counted only to 22 September). From the best month, January, to July the fall is 46.7%. | [1] |
| MRR against revenue | MRR of US$10,064 against US$6,778 of revenue in the last 30 days | calc | The MRR is 48% higher than the money received in the last 30 days, and it was about US$5,594 thirty days before the sync (calculated: 10,064 / 1.799). The sources do not explain the gap. | [1] |
| Where the revenue figures come from | RevenueCat, through an API key; merchant of record: no | A | TrustMRR's verification section: "RevenueCat API key expired at 2026-09-22T12:57:10.447Z". The profile shows no revenue on any day from 28 September to 27 October 2026, because no new data arrived. No Google Analytics, DataFast or Search Console connection. | [1] |
| Founders | Nadia Zueva (CEO) and Andrei Rychkov (CTO) | C | Osome's customer story, modified 10 February 2026: "Co-Founders, CEO & CTO Nadia Zueva and Andrei Rychkov", "Both software engineers by training". TrustMRR's founder link names Nadia Zueva. No source states a headcount. | [7, 1] |
| Company | Aesty Labs Pte. Ltd., incorporated in Singapore on 16 June 2025 | C | Terms and Conditions: "a private limited company incorporated in the Republic of Singapore on 16 June 2025"; Singapore law governs. Osome: "Aesty's founders were based in Dubai but incorporating in Singapore." The App Store names the same company as seller. | [5, 7, 2] |
| Funding | Antler invested; amount not stated | C | Osome quotes Nadia Zueva: "When Antler invested, we needed to incorporate quickly", and says the couple's focus was on "raising their next round of funding". TrustMRR's founder-written fields: "Funding: VC-backed", "Backed by Antler". | [7, 1] |
| AI providers | OpenAI and Google Gemini | C | Privacy Policy, effective 3 July 2026: "AI processing for try-on and styling features (OpenAI, Google Gemini)". The founder-written TrustMRR tech stack also lists Anthropic. | [6, 1] |
| Users claimed | "60k+ downloads" on the home page; "Join 500K+ women" in the web quiz | C | Home page, 27 October 2026: "Backed by 60k+ downloads". TrustMRR's founder-written profile gives an estimated user count of 60,000. The web quiz script shows "Join 500K+ women who never stress about what to wear" and the same line for men. The two claims do not agree, and neither is verified. | [3, 4, 1] |
| App Store rating | 4.5 out of 5 from 71 ratings (US store, 27 October 2026) | C | App Store listing. The home page shows "★★★★★ 4.8 App Store"; the quiz paywall shows "4.5" and 70 ratings. | [2, 3, 4] |
| Age rules | terms: 18 or older; App Store age rating: 4+ | C | Terms: "You must be at least 18 years old to use the Service." The App Store rates the app "4+". The web quiz starts with age groups from 18-29 upward. | [5, 2, 4] |
| Earliest public dates | website copy on 15 December 2023; earliest App Store review on 10 July 2024 | C | The Wayback Machine's first capture of aesty.ai is from 15 December 2023, a page made with Readymag titled "Aesty". The oldest review shown on the US App Store page is dated 07/10/2024 (US date format). Osome lists Aesty as a client since December 2024. | [8, 2, 7] |
| Time from the first App Store review to the headline figure | 26 months | calc | Calculated: July 2024 to September 2026. The app's actual release date is not shown in the sources read. | [2, 1] |
| Release pace | 25 versions from 2.3 (5 September 2025) to 2.16.0 (13 September 2026) | C | Counted in the App Store version history, 27 October 2026. | [2] |

How to read this table: a grade A value was read by TrustMRR from the company's RevenueCat account through an API key. A grade C value is what the company states on its own pages, in its App Store listing or in a vendor's customer story. An "X" value was computed on this page from the rows above it.

## When did Aesty launch, and how did it grow? Timeline

From a one-page website in December 2023 to a two-founder company with US$67,971 of verified revenue, in about 26 months from the first App Store review. Each entry carries its grade.

- **15 December 2023** (grade C [8]): First archived copy of aesty.ai, a one-page site built with Readymag and titled "Aesty".
- **10 July 2024** (grade C [2]): Date of the oldest review on the US App Store page: "I've taken photos of my entire wardrobe and it's already piecing outfits for me".
- **December 2024** (grade C [7]): Aesty becomes a client of Osome, the incorporation service suggested by Antler.
- **16 June 2025** (grade C [5, 7]): Aesty Labs Pte. Ltd. is incorporated in Singapore. The founders work from Dubai, with "a network built through Antler Riyadh", in Nadia Zueva's words to Osome.
- **September 2025** (grade C [2]): Version 2.3 adds "An infinite feed of outfits"; version 2.4 adopts the iOS 26 design.
- **14 November 2025** (grade A [2, 1]): Version 2.5.5 with a redesigned try-on screen. Verified revenue in November: US$2,566.
- **January 2026** (grade A [1, 2]): The best month in the verified table: US$8,953. Version 2.7.0 of 21 January adds "Find clothes from any photo".
- **June 2026** (grade A [2, 1]): Version 2.14.0 adds a week planner and a moodboard editor; version 2.15.0 adds a chat with the AI stylist and closet sharing. Revenue: US$5,206 in June.
- **3 July 2026** (grade C [5, 6]): New terms and privacy policy: users must be 18 or older; OpenAI and Google Gemini process the try-on photos; a web style quiz sells subscriptions and PDF guides.
- **13 September 2026** (grade C [2]): Version 2.16.0: scan of the camera roll, free try-ons for inviting a friend, and Japanese, Korean and Brazilian Portuguese.
- **22 September 2026** (grade A [1]): Last RevenueCat sync: MRR of US$10,064 from 688 subscriptions and US$67,971 in total. The API key expires the same day.
- **27 October 2026** (grade C [1, 2]): The TrustMRR profile still shows the September data; the App Store page shows 4.5 stars from 71 ratings.

## Why did Aesty work?

### Niche

Most fashion apps sell new clothes. Aesty starts from the clothes that the user already owns and from a screenshot of a look the user already likes, and answers two narrow questions: how would this look on me, and what in my closet goes with it. Shopping links appear only for the missing pieces, so the app can earn from subscriptions first.

### Image models instead of stylists

Earlier styling services paid human stylists for every customer. Aesty sends the user's photos to models from OpenAI and Google Gemini to generate the try-on images and the outfit suggestions, so the cost of one more user is the cost of a few model calls.

### Short billing periods

The App Store and the web quiz sell weekly, monthly, quarterly and yearly plans, and the web quiz adds one-time PDF style guides. The terms give a conditional 30-day money-back guarantee for web subscriptions.

### A web quiz in front of the app

A 60-screen style quiz on aesty.ai asks about body shape, colors, budget and occasions, and ends in a paywall. The privacy policy says that the company measures its advertising on Meta, Pinterest and TikTok with the quiz's tracking code, so the quiz is where paid advertising leads.

### Frequent releases

The App Store history shows 25 versions in twelve months, from a feed of outfits in September 2025 to a week planner, an AI chat and a camera-roll scan in 2026.

## How it was built

These details come from the company's privacy policy and terms, its App Store listing, the source of its web pages and the founder-written part of the TrustMRR profile. They are grade C, except what the page source itself shows.

- An iPhone app; the founder-written TrustMRR tech stack lists SwiftUI, Swift and TypeScript.
- Try-on and styling run on "third-party AI providers (OpenAI, Google Gemini)", according to the privacy policy; TrustMRR's tech stack also lists Anthropic.
- Hosting on Vercel and Google Cloud; the backend and database on Firebase, Firestore and Google Cloud Storage; product analytics with Amplitude and Vercel Analytics.
- Subscriptions through the Apple App Store and RevenueCat, which also runs the web checkout of the style quiz.
- The website is a Next.js application; the first site in 2023 was built with Readymag.
- Advertising on Meta (Facebook and Instagram), Pinterest and TikTok, measured with their tracking pixels and conversion APIs on the web quiz.
- Osome handled the incorporation of the Singapore company.

Sources: [6, 5, 1, 2, 3, 8, 7]

## Who tried this before Aesty, and why did they fail?

Four companies in the Loot Drop database tried to give people styling advice, a virtual closet or a way to try clothes before buying, and failed. The values below are from that database and are not independently verified.

The failed startups come from Loot Drop (https://www.loot-drop.io/), a free database of dead startups, retold here in our own words; Loot Drop describes its entries as AI-assisted summaries of public sources, so they carry no evidence grade.

### Thread (2012 to 2020; funding US$40M; cause: Unit Economics)

- Promise: Personal styling for men from human stylists helped by machine learning.
- Why it died: Paying human stylists for every customer cost more than the algorithm saved, and it could not grow cheaply enough.
- Record: https://www.loot-drop.io/startup/625-thread

### Polyvore (2007 to 2019; funding US$22M; cause: Competition)

- Promise: Virtual mood boards on which users combined fashion items into outfits.
- Why it died: After Yahoo bought it, it could not keep its users against Pinterest and Instagram.
- Record: https://www.loot-drop.io/startup/451-polyvore

### Fashism (2009 to 2014; funding US$1M; cause: Competition)

- Promise: Users posted photos of their outfits and other users rated them.
- Why it died: Instagram offered fashion posts and much more, and Fashism never added a way to buy, so it had little revenue.
- Record: https://www.loot-drop.io/startup/139-fashism

### Try.com (2018 to 2022; funding US$4M; cause: Unit Economics)

- Promise: Try clothes at home before paying for them, as in a fitting room.
- Why it died: Shipping physical items for trial cost too much, retailers would not join without subsidies, and Amazon's free returns did the same job.
- Record: https://www.loot-drop.io/startup/668-trycom

## What changed

Thread and Try.com failed on cost: one paid human stylists, the other shipped real clothes for people to try. Polyvore and Fashism built outfit boards and ratings that Instagram and Pinterest then gave away inside larger networks. All four needed either expensive people or a large social network to work.

Aesty replaces both with image models. The try-on that Try.com did with parcels and the advice that Thread paid stylists for are now model calls to OpenAI and Google Gemini, and the outfit boards start from the user's own closet and own body instead of a public feed. That is why a company of two founders could reach US$10,064 of monthly recurring revenue, as TrustMRR's RevenueCat data shows for September 2026. The open risk is the one that hurt Polyvore and Fashism: large platforms, such as Pinterest, Instagram or Google, can add the same try-on to their own apps.

## Can one person copy Aesty now?

**Verdict: Partly, and it needs some money.**

The method is open to anyone who can build a phone app: take a narrow daily question, answer it with a generated image of the user, and charge a subscription. But the founders had years of experience with neural networks and mobile apps, raised money from Antler, and run a web quiz with paid advertising, so this is not a no-budget project.

1. Pick a question that people ask every day, such as what to wear, and answer it with the user's own photos and possessions.
2. Let the user bring material they already have: screenshots, the camera roll, mirror selfies.
3. Sell short plans as well as yearly ones, and test the prices.
4. Put a quiz on the web in front of the app, so that ads can lead to a paywall without an App Store install.

**What is still open.** The same try-on idea for hairstyles, glasses, makeup or home decoration, and closet tools for one group, for example work clothes or travel packing.

## What could go wrong for Aesty?

- **The verified data stopped in September.** TrustMRR says "RevenueCat API key expired at 2026-09-22T12:57:10.447Z". Every figure on this page is as of 22 September 2026, and the profile shows zero revenue for each day after that only because no new data arrived. A reader cannot tell from it whether the MRR rise of 79.9% in the last 30 days held.
- **Monthly revenue has fallen since January.** Verified revenue was US$8,953 in January 2026 and US$4,771 in July, a fall of 46.7%. September recovered to US$5,630 in 22 days, and the MRR is higher than the revenue of the last 30 days, which the sources do not explain.
- **Claims on the company's pages do not agree.** The home page shows "★★★★★ 4.8 App Store" and "Backed by 60k+ downloads", while the US App Store page shows 4.5 stars from 71 ratings and the web quiz says "Join 500K+ women who never stress about what to wear". The quiz paywall shows an "Offer expires in 14:59" timer; whether it resets was not checked. The reviews on the home page, labeled "Real reviews from the App Store", are real: three of the eight reviewer names (katedeyneka, LuriaHealth, EllieWalker99) appear on the US App Store page with the same reviews, but the site has edited the wording; the other five were not among the reviews shown on that page.
- **An 18+ service with a 4+ store rating.** The terms say "You must be at least 18 years old to use the Service", and the try-on needs full-body photos of the user, but the App Store rates the app "4+". The privacy policy says the photos go to OpenAI and Google Gemini and "are not used for facial recognition or identity matching". This is not a face or body scoring app, and nothing in the pages read aims at minors.
- **Funded, and the team is not public.** Antler invested in 2025 and the founders told Osome that they were raising the next round. No source states the amount or the headcount; the profile and the customer story name only the two co-founders.
- **The founder's marketing.** The founder-written TrustMRR profile lists app store optimization, Instagram, TikTok, X, YouTube, affiliates and influencers as channels, and the privacy policy describes advertising on Meta, Pinterest and TikTok. The sources do not say which channel brought most customers.

## Sources

1. TrustMRR: aesty, verified revenue profile — https://trustmrr.com/startup/aesty.md (grade A). Read the markdown profile, downloaded on 27 October 2026 (data as of the last RevenueCat sync, 22 September 2026). Source for the MRR, subscriptions, revenue table and the expired key; the description, funding, tech stack and channels are founder-written (grade C).
2. App Store: Aesty: AI Stylist & Planner, by Aesty Labs Pte. Ltd. — https://apps.apple.com/us/app/aesty-daily-looks-try-on/id6502579395 (grade C). Read in full on 27 October 2026 (US store). Source for the features, the rating, the age rating, the in-app purchases, the version history and the reviews.
3. Aesty home page, read 27 October 2026 — https://www.aesty.ai/ (grade C). Read in full, with the review list from the page's script. Source for the download and rating claims and the quoted reviews.
4. Aesty style quiz, read 27 October 2026 — https://www.aesty.ai/quiz (grade C). The page loads its screens by script; the quiz texts, the paywall plans and the guide prices were read from the page's script. Source for the web prices and the "500K+" claim.
5. Aesty Terms and Conditions of Use, effective 3 July 2026 — https://www.aesty.ai/terms-and-conditions (grade C). Read in full. Source for the company, the incorporation date, the age rule, the subscription and refund rules and the photo use.
6. Aesty Privacy Policy, effective 3 July 2026 — https://www.aesty.ai/privacy (grade C). Read in full. Source for the AI providers, hosting, analytics, payments and advertising partners.
7. Osome customer story: From Concept to Scale: How Osome Helped Aesty Go Global (modified 10 February 2026) — https://osome.com/sg/customer-stories/aesty/ (grade C). Read in full. A vendor's customer story with quotes from both founders. Source for the founders, Antler, Dubai and Singapore.
8. Wayback Machine capture list for aesty.ai — https://web.archive.org/cdx/search/cdx?url=aesty.ai&output=txt&limit=15&fl=timestamp,original,statuscode,length (grade C). Read in full; the first capture (https://web.archive.org/web/20231215102431/https://aesty.ai/) was opened and shows a Readymag page titled Aesty. Source for the earliest date of the site.
9. Loot Drop database export, 1,749 failed startups — https://www.loot-drop.io/ (grade C). Local export. AI-written summaries, not independently verified. Source for the failed predecessors.