# 48k installs, 7k ratings, a few hundred dollars a month: how the numbers add up for a one-person AI wardrobe app · Mobile Apps

> Source: https://stringers.io/en/apps/play_com.kevin.cloey.html (Stringers / 什么值得做, generated 2026-11-08)
> Stringers answers one question every day: what small product can one or two people build in a few months and actually make money from. Numbers come from 15 databases we collect daily, each with source and date.
> For agents: these verdicts and the underlying databases (verified revenue, App Store / Google Play charts, ad libraries, GitHub, Product Hunt…) are queryable live over MCP — tools today / hot / products / directions / direction / data. Setup: https://github.com/komako-workshop/stringers (the user logs in at stringers.io → "配置 agent" to get a personal URL). Site index: https://stringers.io/llms.txt

> The founder soft-placed the product in his own fashion-lifestyle account, took his top-performing content and moved it to Meta ads in low-cost countries, then outsourced UGC from creators. The onboarding flow forces a rating, which makes it look well-reviewed in the store.

[Mobile App](https://stringers.io/en/apps/index.md) · Android · written 11-6

Cloey: Style Companion · Cloey

# 48k installs, 7k ratings, a few hundred dollars a month: how the numbers add up for a one-person AI wardrobe app

**What it is** An AI digital wardrobe: photograph your clothes, and it swipes you 3 outfits a day built from your own closet, plus outfit scoring.

**Why it took off** The founder soft-sold it through his own lifestyle account, pushed the viral clips to Meta in low-cost countries, then outsourced creator UGC. The onboarding forces a rating prompt, so the store listing looks well-reviewed.

**C** **How you could play it** Don't build another AI wardrobe. Apply his stack (lifestyle-account soft sell + proven content pushed to Meta + capped UGC pay) to a category with stronger willingness to pay that isn't crowded yet, and launch with a hard iOS paywall first.

C grade: the acquisition playbook is public and learnable, but the category has 6M-install incumbents and Alta raised $20M, and Cloey's own revenue hasn't taken off. Copying the same category isn't worth it. What the niche is saying

Data (updated daily) · first launch 2026-07-09 · 11-07 installs 47,721

Android · Total installs worldwide

Data 2026-10-29 → 2026-11-07 (10 days, 10 observations). Google's detail page only refreshes install counts every other day, so a flat day doesn't mean nobody installed.

Android · Ratings count (cumulative)

Data 2026-10-29 → 2026-11-07 (10 days, 10 observations)

Cloey is a one-person AI outfit app. It hit 4k Google Play installs in 47.7 months and 7,171 ratings. The founder's own public monthly revenue peaked at $800. The installs came from content, paid acquisition, outsourced creators, and a rating prompt with the "Not now" button removed. The money didn't follow because the category is crowded and Android users rarely pay. What's worth learning is the playbook, not the category.

### A video about a Korean perm

In 2026 Jun 13, the TikTok account @current.kev posted a video about getting a Korean-style curl perm, with 1.63M views. The account has 9,067 followers, run by Kevin Tung, who usually posts about perms, silver jewelry and men's outfits. In the video he briefly shows his "wardrobe app" for a few seconds, with no explanation and no link.

Behind that account is a second one, @creating.kev, with just over 2,000 followers, covering a different topic: how he built the app, what each step cost and what it brought in. In his "Viralizing Cloey" series he describes the method: slip the app into content that looks unrelated to it, get comments asking "what app is this," and one hit video can bring in 2,000 installs.

The app is Cloey: Style Companion. The iOS version launched in 2026 Mar 13, with 1,280 ratings on the US store at 4.55 stars (App Store, 11-06). The Android version launched in Jul 9.

### What it is

A digital closet. You take a full-body photo, and it recognizes each piece of clothing, cuts out the background and files it into your wardrobe. Then it generates 3 outfits a day from your own clothes, which you swipe through like a dating app. Some paid ads for it were literally captioned "Tinder for your clothes." It also has two more features: cost per wear (how much each item costs you per use) and "Rate my fit," where you upload an outfit photo and it scores it.

It's subscription-based: $3.99 weekly, $14.99 quarterly, with Play in-app purchases listed between $3.99 and $49.99. The free tier gives 3 outfit suggestions a day.

### How installs grew

Google Play install curve (11-06 data; early figures come from third-party historical records):

| Date | Total installs |
|---|---|
| Aug 3 | 484 |
| Aug 12 | 1,736 |
| Sep 1 | 10,415 |
| Sep 12 | 19,589 (up 6,241 across September 10 and 11 days) |
| Oct 4 | 30,872 |
| Nov 6 | 47,721 (last 7 days, +4,257) |

From mid-September on, it was roughly three to five hundred installs a day, with the occasional spike to one or two thousand. In early November the founder wrote on Instagram that across both platforms it was "7 months, 80k downloads, UGC videos at 10M views." Working backward from that, iOS is roughly 30k-plus (inferred).

The installs came from four sources.

**The founder's lifestyle account.** The same route as the perm video that opened this piece. The earliest users came this way, at no cost.

**Meta ads.** On October 26 and 27, he posted two tutorials back to back, titled "How I got my Meta ads cost per install down to $0.30." The method: start by bidding for installs to build volume, then switch to bidding for trial starts once there's enough data. No age or interest targeting, so Meta finds the people itself. Pull competitors' ads from the Meta Ad Library and copy them frame by frame. Pick countries using an Adapty article that ranks them by acquisition cost and conversion rate. Start at $20 a day and rotate creatives every two to three weeks. In October 20 he wrote: "Meta is still carrying me." He also tried TikTok ads, spent $163, couldn't get attribution to work, and shut it down.

**Outsourced UGC.** Starting in September, through an agency called Lynx Media Group, he hired 4 creators and ordered 80 videos, with budgets of $2,000 to $6,000. Each video had a $25 base fee plus bonuses by views, capped at about $500 for 1M views. The mid-point figures at the end of August were 900k views, with $1,500 paid to creators. On TikTok you can still find accounts like @try.cloey posting Cloey content, each video getting a few thousand views.

**Reddit.** One post got over 50k views, then was deleted and the subreddits banned him. His verdict: the effort outweighed the return.

Most Android installs came from cheap countries. The only chart Cloey ever placed on was the Philippines Lifestyle free chart, at #74 (10-29 first charted). The reviewers you can see on Play are mostly Filipino names. He also acknowledged that pushing ads into low-purchase-intent countries brings installs but poor conversion. From this, it's inferred that a meaningful share of Android's few hundred daily installs was Meta spend in Southeast Asia at low prices.

### How the 7,171 ratings were built

On Android, the ratio of ratings to installs is about 15%, while typical apps sit between 1% and 3%. Stranger still, only 22 of the 7,171 ratings include written text.

The founder explained why. In the 20 August post "How I cracked the onboarding for Cloey pt.2", he moved the rating prompt to the moment right after a new user first feels the app is working, gave it its own page with the mascot and custom copy, and removed the "Not now" button. Within a week ratings went from 18 to over 100. Another video was titled "taking the rating rate from 1% to 25%." In October 23 he said: "1,400 installs, nearly 500 ratings, it's insane."

So those 7,000-plus ratings don't prove reputation. They're just stars tapped out of an onboarding flow. For what it's worth, Google and Apple both prohibit incentivizing ratings, and removing the dismiss button falls into a gray area.

### Money: the installs look good, the revenue is small

All revenue figures are the founder's own public disclosures:

- At about 3 months after the iOS launch: 4,000 downloads, cumulative revenue $500, over $2,000 already spent on ads and creators, monthly revenue under $200, paid conversion 0.3%.

- Aug 29: monthly revenue went from $300 to $800, and revenue over the last 28 days was about $2,000.

- Oct 20, the period with 10k downloads: monthly revenue $460, target $3,000. His words: "10k downloads, under 1,000 a month in revenue, pretty bad," and "still losing money on ads."

- Android: "1,400 installs, only 2 paying customers." Android uses a soft paywall, while iOS uses a hard one.

After changing the onboarding flow and pricing, the iOS trial-start rate rose from 4.39% to 7%. But paying users still couldn't cover ad spend. The money came mostly from iOS; Android only contributed volume.

### Who it's competing with

This is a crowded category, and it has been for a while:

| Product | Scale | How it differs from Cloey |
|---|---|---|
| Alta Daily | About 18.5k ratings on the US store; 2026-10-22 raised $20M Series A (Fortune) | Well-funded, well-covered in media; has AI avatar try-ons and brand partnerships |
| Whering | 6.17M Android installs | 2020-year-old veteran, focused on sustainability and community |
| Acloset | 5.74M Android installs | Korean team, full feature set, also has try-ons |
| Fits | About 1M Android installs, 7 days +33k | Small German team, pure utility |
| Dressly | iOS 33k ratings; Android 360k installs | Leans toward AI costume and entertainment |
| DressCode | iOS 1,367 ratings | Independent wardrobe apps from the same period, about the same size as Cloey |

GitHub and hackathons are full of "AI wardrobe" side projects, and programmers love this theme. Cloey's features (daily swiping, cost per wear, outfit scoring) all have comparable versions elsewhere. Where it really differs is distribution: this category is mostly built by women-focused brands or funded teams, while Cloey is built by a guy who talks about menswear, silver jewelry and perms, and who published every experiment.

Few people know about it. The founder only disclosed numbers on his own account of about ten thousand followers; no media has written about it, and X shows no discussion in the last 90 days.

### If it were you

**Verdict:** Building another AI wardrobe app isn't worth it. What's worth taking is Kevin's acquisition process, which one person ran end to end.

**Who it's for:** Indie devs who already run a lifestyle account (fashion, fitness, skincare, cooking, anything) and can make viral content that doesn't feel like an app ad, then apply this playbook to a category with stronger willingness to pay that isn't crowded yet.

**Who it's not for:** Anyone who wants to go head-on with AI wardrobe or outfit recommendation apps. The leaders have 6M installs on older products, and Alta just raised $20M, so there's no feature gap left. Pure coders who can't make content aren't a fit either, because step one of this approach is that lifestyle account.

**How to do it:** Launch on iOS first with a hard paywall, and tune onboarding and trial conversion (Cloey went from 0.2% to over 5% at this step). Android can come later, or skip it: it brings volume, not money. Place the rating prompt right after the user first feels the app working, but keep a dismiss button so you don't risk a takedown over a few thousand one-star reviews.

**How to get users:** Soft-integrate the app into lifestyle content and wait for commenters to ask what app it is. Take the videos that break out and reuse them as Meta creative: start by bidding for installs, switch to trial bidding once volume is there, and pick countries by acquisition cost and conversion rate, not just by cheapness. For UGC, use a structure of $25 base pay per video plus view bonuses, with a cap. You write the scripts; creators just shoot.

**When is "before":** This playbook has no closing window, but install costs in low-priced Meta countries will get bid up as more people copy it. Few are doing it yet, so the earlier you test, the cheaper it is.

**What it would mean you read this wrong:** ① Cloey's monthly revenue passed $10k in Q1 of 2027, which shows indie devs can make money in this category, so the call above needs revising; ② you ran this playbook for 30 days and Meta install costs in your chosen countries never dropped below $1, which means $0.30 was just his one-off.

---

Data and sources: Google Play installs, ratings and charts (as of 2026-11-06); public App Store data (11-06); the founder's public TikTok posts @creating.kev and @current.kev and Instagram posts (2026-06 through November); Fortune's report on Alta's funding round 2026-10-22; competitor data from Google Play and the App Store. Revenue, ad spend and UGC budget are self-reported by the founder and not independently verified.

[Android store page ↗](https://play.google.com/store/apps/details?id=com.kevin.cloey)

**Research notes: competitor table, acquisition evidence, full research report**

Competitors

| Name | Where | Launched | Scale | How it differs from this one |
|---|---|---|---|---|
| Alta Daily | iOS | 2025-03 | About 18.5k ratings in the US store; 2026-10-22 closed a $20M Series A (Fortune) | Funded, covered by media, offers AI avatar try-on and B2B brand partnerships; Cloey is solo and unfunded, relying on content and paid acquisition |
| Whering | Android | 2020 | Android 6.17M installs, iOS 12k ratings | Established player focused on sustainability and community; Cloey focuses on daily swipe recommendations and cost-per-wear stats |
| Acloset | Android | 2020 | 5.74M Android installs | Korean team with a full feature set and try-on; two orders of magnitude larger |
| Fits – Outfit Planner & Closet | Android | 2023-05 | About 1M Android installs, +33k in 7 days; 5,768 rating on iOS | Utility-first small team; Cloey adds AI scoring and visualization, and its growth mostly comes from the founder's content |
| Dressly: AI Outfit Maker | iOS | 2024-11 | iOS 33k ratings; Android 360k installs | Leans toward AI-generated dress-up entertainment rather than building outfits from your own wardrobe |
| Pureple / Smart Closet / Stylebook / GetWardrobe | Other | 2009–2017 | Pureple has 1.35M installs; Stylebook is an established paid app | Traditional manual wardrobe tool with no AI recommendations |
| DressCode: Outfit Planner | iOS | 2025-11 | 1,367 ratings, +199 in 7 days | An indie wardrobe app from the same period, similar in size |
| Open-source and hackathon wardrobe projects (Closet PWA, ClosetMind, etc.) | Open source | 2024–2026 | Very small | Side projects, which shows the barrier to entry is low |

Where users come from

- **Confirmed** **Founder soft-integration in fashion and lifestyle accounts (TikTok/IG @current.kev)** : a Korean perm video with 1.63M views, among others; the founder says "hiding the app in unobtrusive content, one viral video brings 2,000+ installs" (TikTok @creating.kev, Viralizing Cloey ep.10)

- Inferred **Meta ads (organic content redirected into paid, targeting low-cost countries)** : the founder says CPI $0.30, daily budget from $20, copied competitor ads, and picked regions using Adapty's country value-for-money article (TikTok 2026-10-12/26/27); not indexed in the metaads library; Android only charts in the Philippines, and most reviewers have Filipino names

- **Confirmed** **Paid UGC creators (run by Lynx Media Group)** : 4 creators, 80 videos, budget $2–6k; $25 base per video plus view bonuses; mid-campaign 900k views, MRR $300→$800; 10M total views (Instagram Dcoey-DudX-, DfLWtk6AQn6)

- **Confirmed** **Forced rating prompt in onboarding** : "Removed the Not now button, ratings shot up", "rating rate went from 1% to 25%" (TikTok @creating.kev 2026-08-20/27); Android ratings/installs about 15%, with only 22 written text reviews

- **Confirmed** **Build-in-public content (indie dev circles)** : Viralizing Cloey / Cracking the Conversion / One Take Wednesday series, 1–30k views per post

- **Confirmed** **Reddit** : a post got over 50k views, then was removed and the account banned; the founder rated it low value for money (TikTok 2026-10-12)

- **Confirmed** **TikTok ads** : $163 spent in total, stopped once attribution failed to connect (TikTok 2026-10-20)

## Why Cloey: Style Companion (com.kevin.cloey) got traction

> Channel: Google Play (iOS version id6753887920 also exists) | Developer: Kevin Tung (@current.kev, solo) | Research date: 2026-11-06

### Bottom line

Cloey is a solo-built AI digital wardrobe and outfit app. It reached 47.7k Android installs in 4 months. The reason isn't that the product is unusually distinctive. The founder treats growth like a TV series: two persona accounts (a lifestyle account and a build-in-public account) post content, alongside organic traffic, Meta paid acquisition (self-reported CPI $0.30), and outsourced UGC creators. The rating count is abnormally high because the onboarding includes a rating screen **with no "Not now" button** . Installs took off, but revenue didn't: the founder's own publicly stated MRR is only $300–800, and Android paid conversion is close to 0.

### 1. Basic data

| Metric | Value | Source |
|---|---|---|
| Android installs | 47,721(2026-11-06), 7 days +4,257 | Google Play library app_profile |
| Android rating count | 7,171,4.31 stars; only 22 reviews with written text | googleplay library app_snap |
| Rating / installs | About 15% (common industry range 1–3%) | Same calculation as above |
| Daily new ratings | 48–83 per day (10-30 to 11-06) | googleplay library app_day |
| Charts | Only charted on the Philippines LIFESTYLE free chart at #74 (first charted 2026-10-29) | googleplay library |
| Listed on Android | 2026-07-09 | googleplay library; AppGoblin |
| iOS release | 2026-03-13, 1,279 ratings in the US store, 4.55 stars | iTunes lookup API |
| Paid | Subscriptions; weekly $3.99, quarterly $14.99, etc.; IAP $3.99–$49.99 | Play listing; founder's TikTok 2026-09-13 |
| Combined downloads across both platforms | "7 months, 80,000 downloads, 10M UGC views" | Founder's Instagram post (about 2026-11-01) |

**Android install curve** (googleplay library app_day_ext, history filled in with AppstoreSpy):

- Jul 19:51; Aug 3:484; Aug 12:1,736 (about 1.4–1.7k in the 3 weeks after launch, which matches the founder's "3 weeks, 1400 installs, nearly 500 ratings")

- Sep 1:10,415 (25 to Sep 3 daily 500–1,100)

- September 10–11: two days added 6,241 (single days 2,623 and 3,618), reaching 19,589 total by Sep 12

- Oct 4:30,872 (+2,182 that day); Oct 27:43,428; Nov 6:47,721

- After mid-September it settled at roughly 300–600 per day, with occasional single-day spikes of 1,000–2,000, probably from ad batches or a video that caught fire.

Combined across both platforms: the founder says 80k, Android has 47.7k, so iOS is roughly 30k-plus. **Android accounts for more than half the volume, but the money mostly comes from iOS** (see section 4).

### 2. Competitors: a crowded category with well-funded players

| Product | Platform | Launched | Scale | How Cloey differs |
|---|---|---|---|---|
| Alta Daily(Flagship AI) | iOS/web | 2025-03 | About 18.5k ratings and 4.89 stars in the US store; 2026-10-22 closed a $20M Series A (led by Forerunner, with follow-on from Aglaé, the LVMH family office; Fortune exclusive) | Offers AI avatar try-on and B2B brand partnerships, with capital and media behind it; Cloey is solo and unfunded |
| Whering | iOS/Android | 2020 | 6.17M Android installs; 12k iOS ratings | Established digital wardrobe focused on sustainability and community; Cloey's pitch is daily swipe recommendations and cost-per-wear (CPW) stats |
| Acloset(Looko) | iOS/Android | 2020 | 5.74M Android installs | Korean team with AI avatar try-on; full feature set and large scale |
| Fits – Outfit Planner | iOS/Android | 2023 | About 1M Android installs, +33k in 7 days; 5,768 rating on iOS | Small German team, utility-first; Cloey added "Rate my fit" scoring and outfit visualization |
| Pureple / Smart Closet / Stylebook / GetWardrobe | Both platforms | 2009–2017 | Pureple has 1.35M installs; Stylebook is an established paid app | Traditional manual wardrobe tool with no AI recommendations |
| Dressly: AI Outfit Maker | Both platforms | 2024-11 | iOS 33k ratings; Android 360k installs | AI-generated outfits and dress-up, leaning toward entertainment |
| DressCode: Outfit Planner | iOS | 2025-11 | 1,367 ratings, +199 in 7 days | An indie wardrobe app from the same period, growing at about the same pace as Cloey |
| Closetly(closetly.app) | iOS | Around 2025 | 28k TikTok followers, went viral with "Clueless closet" videos (install numbers unverified) | Also grew mainly through TikTok content |
| Assorted open-source / hackathon builds (Closet PWA, ClosetMind, Clozy) | Web / open source | 2024–2026 | Very small | Says "AI digital wardrobe" is the go-to practice project for programmers |

Data sources: googleplay and appstore libraries; iTunes search API; Fortune 2026-10-22 "Alta raises $20 million Series A from Forerunner".

Takeaway: **the category isn't short on products. The big ones include 6M-install veterans, and Alta just raised $20M** . Cloey's feature differences (3 swipeable outfit suggestions a day, CPW stats, Rate my fit scoring, full-body photo auto-tagging of individual pieces) have similar versions elsewhere. The moat isn't the features.

### 3. Growth playbook: one person ran the full stack of content + paid acquisition + UGC + ratings

#### 3.1 Founder persona account (organic content, confirmed)

- **@current.kev** (9,067 TikTok followers, 584k likes; about 11k followers on Instagram) is a fashion/lifestyle account. He posts Korean perms, silver jewelry and outfit content here, with the app slipped in for a few seconds as "my wardrobe tracker". Top views: Korean perm 1.63M (2026-06-13), 483k (06-24), 307k (06-19); silver jewelry videos 216k (08-06), 87k (04-16).
    - The founder's own summary (TikTok @creating.kev, "Viralizing Cloey ep.10"): "Putting the app into unobtrusive content… lots of people in the comments asking 'what's this app', and one viral video brought 2,000+ installs."
    - He has also said he "copies competitors' ad formats and posts them on his brand account or UGC accounts" (same video).

- **@creating.kev** (2,109 TikTok followers) and the Instagram series "Viralizing Cloey / Cracking the Conversion / One Take Wednesday" are build-in-public accounts. Individual posts get 1–30k views, and the audience is indie developers. Note: this TikTok account **reposts old Instagram content 1–2 months later** . For example, "Viralizing Cloey pt.13" was posted on Instagram in 2026-08-29; the "3 weeks on Google Play, 1400 installs" post only appeared on TikTok in 10-23, while Play data shows about 1.4k already by early August. Use Instagram and store data for the timeline.

#### 3.2 Meta paid acquisition (founder's account, not in our library)

- "Meta ads are carrying me now… we put our best organic content behind trial starts, with CPI around $0.30" (TikTok @creating.kev, 2026-10-12, 10-26, 10-27 series).

- Method: search the Meta Ad Library for competitor ads and "copy them frame by frame"; start at $20 a day; no age or interest limits; **pick countries using the Adapty article that ranks countries by cost-effectiveness on CPA/conversion** ; rotate creatives every 2–3 weeks.

- TikTok ads: $20 a day, $163 spent in total, stopped after attribution never connected (2026-10-20 posts).

- com.kevin.cloey and a matching Page can't be found in our metaads library. The library only tracks advertisers on the top of keyword results, so not being found doesn't mean they didn't run ads. On Facebook there are at least two unfamiliar Pages (id 61586228690761 "Tinder for your clothes", 61592785359191 "Boss said I need better outfits…") promoting Cloey with videos. They look like UGC or paid-distribution accounts.

#### 3.3 Outsourced UGC creators (confirmed)

- 2026-09 paid 4 creators to make 80 videos, budget $2,000–6,000. Lynx Media Group handles recruiting, topic selection and creator guidance.

- Pay structure: $25 base per video plus a view bonus, capped around $500 at 1M views (2026-11 Instagram posts).

- Mid-campaign numbers: 900k views, $1,500 paid to creators, MRR up from $300 to $800, with revenue near $2,000 over the last 28 days (Instagram "Viralizing Cloey pt.13", 2026-08-29).

- Latest: "UGC 10M views, 80k downloads in 7 months" (Instagram, around 2026-11-01).

- UGC accounts found on TikTok: @try.cloey and @jiwonsootds ("the app is called cloey: style companion", 4–9k views per post), plus the early @karinajchan (49k followers, 2026-03-31).

#### 3.4 Reddit (tried, mixed results)

Posts got over 50k views, then were deleted and the subreddit banned them. He himself judged it "more effort than payoff" (TikTok tier list 2026-10-12). r/SideProject has a post "I got tired of full closet, nothing to wear so I built an app…", but the body can't be scraped (Reddit captcha). The 12 testers Google Play required for closed testing were "rounded up from Reddit testing groups" (2026-10-05).

#### 3.5 Ratings tactic: the direct cause of the abnormal rating count (confirmed)

- "How I cracked the onboarding for Cloey pt.2" (TikTok @creating.kev, 2026-08-20): move the rating prompt to after the onboarding "aha moment", build a dedicated rating page with the mascot and custom copy, then **remove the "Not now" button and ratings shoot up** . In one week they went from 18 to over 100 ratings.

- Another post: "We raised our rating rate from 1% to 25%. First, we made onboarding longer" (2026-08-27).

- This matches the data: Android ratings per install are about 15%. By early August, with 1.4k installs, there were already nearly 500 ratings (founder's account). Only 22 reviews have text, meaning most stars were tapped in onboarding without thought. So **this rating count shouldn't be read as a reputation or download signal** (7,171).

#### 3.6 Geography: Android volume mainly comes from low-price countries

- It only charted in the Philippines. The Android reviews visible on AppBrain are mostly from Filipino names (Lydia Kilong Dimngel, MJ Montero, etc.).

- The founder says Android "installs a lot, converts poorly", with "1,400 installs for 2 payers". He also admits that "targeting countries with low purchase intent gives high install rates but low conversion" (2026-10-19).

- Inference (not fully verified): a sizable share of Android volume comes from Meta spend in low-CPI regions like Southeast Asia, and forced ratings during onboarding helped it show up on small charts in low-barrier markets like the Philippines.

### 4. Money: the founder's own public figures are small

| Timeline (per original posts) | Metric | Sources |
|---|---|---|
| About 3 months after iOS launch | 4,000 downloads, cumulative revenue $500, ads and creators spent $2,000+, MRR under $200, paid conversion 0.3% | TikTok @creating.kev 2026-09-02/09-05 (repost) |
| Hard paywall experiment | Conversion 0.2%, no change with a hard paywall; after changing onboarding and pricing, trial rate went from 4.39% to 7% | 2026-09-10/09-13/09-17 |
| "Cracking the conversion" | "0.2% → 5% initial conversion" | Instagram DaYwAn7SjAe |
| 2026-08-29 | MRR $300 → $800, revenue about $2,000 over the last 28 days | Instagram pt.13 |
| The "10k downloads" episode | MRR $460, target $3k, later revised to $10k | TikTok 2026-10-20 |
| Android | Soft paywall on Android, hard paywall on iOS; Android 1,400 installs, only 2 paid | TikTok 2026-10-23 |

AppGoblin estimates Android monthly revenue under $10k. TrustMRR doesn't list it. Takeaway: **the install numbers look great, but unit economics aren't working yet** . The founder himself keeps saying in his videos that "we're still losing money".

### 5. Why it took off

1. **The founder has a fashion/lifestyle account that can produce hits** , and it can slip the app into spots people aren't paying attention to (perm video, 1.6M views). Organic traffic was the first wave of users. Evidence: @current.kev's view data, plus the founder's account that "one viral video brought 2,000+ installs".

2. **Organic content was put straight into Meta spend at a claimed CPI of $0.30, with cheap countries picked** . This is the main source of Android's several hundred installs a day. Evidence: the founder's Meta tutorial series; Android only charts in the Philippines, and the reviewers are Filipino.

3. **Outsourced UGC at scale** : 4 creators, 80 videos, 10M cumulative views. Evidence: Instagram posts.

4. **Forced ratings during onboarding** : a 15% rating rate on Android makes the store look highly rated, and star ratings of 4.3–4.6 also helped conversion. Evidence: the founder's "remove Not now" post, plus the rating-to-install ratio and only 22 text reviews.

5. **Build in public is a channel in itself** : the indie developer community watches, downloads, and sends suggestions via DMs. Evidence: the One Take Wednesday series, where he says "after posting the struggle videos I got lots of DM advice".

### 6. What's the differentiation, and is it why it broke out?

- The product differentiation is thin: 3 outfits a day built from your own wardrobe, swiped left or right (official line "Swipe right on the looks you love"; outside ads call it "Tinder for your clothes"), per-item wear cost and unused-item stats, and recently added Rate my fit scoring and "draw a fix directly onto you" (iOS subtitle: "How good is your fit, really? Take a pic and Cloey scores the look"). Whering, Acloset, Alta and Fits all have similar features.

- The real difference is in **distribution** . Most players in this category are women-focused brands or funded teams. Cloey's founder is a guy who posts about menswear, silver jewelry and perms, which is an unusual content angle (@current.kev's audience leans toward "tech bros" and menswear fans), and he publicly shares every growth experiment.

- So: **it grew because of its distribution playbook, not its differentiation** . The product shift from "AI stylist" to "swipe daily" and "score your outfit" mainly lifted ad and onboarding conversion, not a retention or payment moat.

### 7. How many people have seen it

- Small circle: the founder has published details like MRR ($300–800), downloads and CPI, but only on his own Instagram (about 11k followers) and TikTok (9k + 2k followers), with individual posts at 1–30k views.

- Searching "cloey" and "current.kev" in x-radar's local corpus returns 0 posts in the last 90 days. No media coverage found, and it's not on TrustMRR.

- The category itself is hot (Alta just raised $20M and made Fortune), but Cloey hasn't been written up by any major account.

- Copycats: no clear product found copying Cloey. But indie wardrobe apps keep popping up (DressCode 2025-11, @jadeconnerrr on TikTok "building my own wardrobe app", assorted open-source and hackathon projects), so the barrier to entry is low.

### 8. What others can learn

- Use a **lifestyle/interest persona account that doesn't mention the app** for content. The app appears for only a few seconds, and the comments ask "what's this app" on their own.

- Put organic content that already went viral straight into Meta as creative, start with installs, switch to trial starts once volume is there. Pick countries by CPA/conversion value. Rotate creatives every 2–3 weeks.

- UGC pay structure: $25 base per video plus a view bonus, and the bonus must be capped. The founder sets the format and script, and creators only execute, so the data stays comparable.

- Rating prompt placed after the aha moment, on its own page, with a mascot, and the "maybe later" option removed. Forcing ratings during cold start works extremely well, but it carries compliance and reputation risk: Google and Apple both forbid incentivizing ratings, and removing the dismiss button sits in a gray area.

- Cautionary tale: adding low-price countries on Android can inflate installs and ratings beautifully, but paid conversion ends up near 0. If you want to make money, polish onboarding and the paywall on iOS first, then consider Android.

### 9. Still unclear

- How much Meta actually spent, which countries it targeted, and the split between paid and organic Android installs: our ad library doesn't cover this, only the founder's self-reported numbers.

- The recall card claims "a single 150k-view UGC video drove 1000+ downloads in one day": we couldn't find the original post, so it's unverified. What we can verify is "one hit video drove 2,000+ installs."

- What caused the Android spike of 6,000+ installs over two days in September 10–11 (a specific hit video, a paid push increase, or UGC launch): we can't match it to specific content.

- Latest MRR: the most recent public figure is $460–800. Whether it rose above $1k in November is unknown.

- Actual iOS downloads and Top Grossing performance: not in our App Store database (it never charted).

### Sources

- googleplay database (agent-im server): app_profile / app_day / app_day_ext / app, pulled 2026-11-06

- appstore database: rating counts and growth rate of comparable apps

- iTunes lookup / search API: Cloey iOS (id6753887920), Whering, Alta Daily, Fits

- TikTok (TikHub): profiles and videos of @current.kev, @creating.kev, @cloey.app; keyword searches "cloey app" and "cloeyapp"

- Instagram posts: [www.instagram.com/reel/DfLWtk6AQn6/](https://www.instagram.com/reel/DfLWtk6AQn6/), [www.instagram.com/reel/Dcoey-DudX-/](https://www.instagram.com/reel/Dcoey-DudX-/), [www.instagram.com/reel/DcgwkKtOZmQ/](https://www.instagram.com/reel/DcgwkKtOZmQ/), [www.instagram.com/reel/DaYwAn7SjAe/](https://www.instagram.com/reel/DaYwAn7SjAe/)

- TikTok post: [www.tiktok.com/@creating.kev/video/7676182628881517837](https://www.tiktok.com/@creating.kev/video/7676182628881517837) (ratings approach)

- [cloey.app/](https://cloey.app/) ;[www.appbrain.com/app/cloey-style-companion/com.kevin.cloey](https://www.appbrain.com/app/cloey-style-companion/com.kevin.cloey) ;[appgoblin.info/apps/com.kevin.cloey](https://appgoblin.info/apps/com.kevin.cloey)

- Fortune 2026-10-22:[fortune.com/2026/10/22/alta-ai-fashion-app-series-a-20-milli…](https://fortune.com/2026/10/22/alta-ai-fashion-app-series-a-20-million-forerunner-rent-the-runway/)

- Facebook promoted video: [www.facebook.com/61586228690761/videos/outfits-from-your-own…](https://www.facebook.com/61586228690761/videos/outfits-from-your-own-closet/2102897207012429/)

- x-radar (x.deeply.dev) search for "cloey": 0 results

This article was written by AI from public data and the data we collect daily. Numbers are sourced, and inferences are labeled.