Stringers
Mobile App · iOS · written 11-6
V
Vinted Finder: Style Scanner · Really Nice

Nepal Shopping Top Grossing #1: Vinted Finder's impressive rank is mostly manufactured by the chart

What it is You drop in an outfit screenshot and it finds the same secondhand item across 12 Vinted storefronts; match images are free to view, and you pay (3 times for €4.99, or a weekly sub at €9.99) to see prices and links.

Why it's taking off It isn't really yet: the #1 Top Grossing spots are in tiny countries like Nepal and Uganda, where the whole chart has only a few dozen apps, so one in-app purchase is enough to climb. Its ratings across France, UK, Germany, Italy and Spain, the main Vinted markets, add up to just 10.

CHow you could play it Don't copy the Vinted version. Take the paywall structure (look at the image first, pay later, no charge when nothing's found, results in three tiers) to secondhand platforms without image search or niche categories (Wallapop, Mercari, sneakers, vintage furniture), and get creators with real followings to film genuine videos.

C grade: the product hasn't gained traction in core markets. The niche has Vinted's built-in free image search, Refind (15 months earlier), and the newcomer Scanna, and the name rides on someone else's trademark. The paywall design is worth studying, but copying this niche isn't worth it. Few people know about it yet
Data (updated daily) · launched 2026-07-16 · Mexico score 44 · 11-08 charted in 63 stores
iOS · Top Grossing rank · by store
5010015011-0211-0311-04171
Data 2026-11-02 → 2026-11-04 (3 days, 3 observations). Lower rank is higher; gaps mean it wasn't charted that day
iOS · Number of stores charted (top 200 on any chart)
01210-3111-0111-0211-0311-042
Data 2026-10-31 → 2026-11-04 (5 days, 5 observations)
iOS · Ratings count · Mexico
3537.54042.54510-2810-3111-0311-0511-0844
Data 2026-10-28 → 2026-11-08 (12 days, 12 observations). Apple doesn't publish download counts; rating growth is a proxy for downloads.

Vinted Finder is an indie iOS app: you drop in outfit screenshots from TikTok or Pinterest and it looks for the same secondhand item on Vinted. It launched mid-July, and by early November it had charted in shopping Top Grossing in over 60 countries, several at #1. It looks like it's gaining momentum, but a closer look shows it hasn't really taken off. What it does well is the paywall, not growth. The paywall is worth learning from; the niche itself isn't worth chasing.

A TikTok with 247 views

On Sep 28, the TikTok account @phoebe.finds.it posted a photo carousel. The first line reads:

The school-run version of searching: short, specific, and slightly sticky with toast.

(How I find the outfit on the way to school drop-off: fast, accurate, with toast still in my hand.)

Below are three steps: first save the outfit photo, then use Vinted Finder to find a similar piece and color, and finally filter on Vinted with words like "cream", "navy panel", "retro". This one has 247 views.

The account has 15 followers and 176 posts. On September 29 and 30 it posted four or five videos each day, all opening with the same formula, "1. I start with the screenshot… 2. …", with views ranging from 250 to 1,200 (TikTok, 11-06). Another account, @giulia.searches.vinted, does the same thing, with 6 followers and 130 posts. Nobody shows their face, and it reads like AI following one template. Search "vinted finder" on TikTok and none of the top 20 results are its content.

This is the main promotion it has going so far. One person, zero budget, and the approach itself is sound, but by the numbers this route hasn't brought in users yet.

What it is and how it charges

Open the app and the home screen shows the latest screenshots from your camera roll. Pick one and it tags each item in the photo with a number. Tap the coat, boots or skirt, and it searches 12 Vinted storefronts (France, Germany, UK, Italy, Spain, Belgium, Netherlands, Austria, Poland, Sweden, Romania, USA) using the words sellers tend to use in titles, and also searches secondhand shops like Vestiaire.

Results come in three tiers, as the site puts it:

  • found it: same brand, same item, listed on Vinted right now;
  • so close: nearly identical, but the color, season or size is a bit off;
  • same energy: a different brand with the same cut, material and feel, usually much cheaper.

How it charges is the most worthwhile part of this product. The matched images are free to view. Only if you like what you see do you pay to unlock the item name, price, seller and link. The site's tagline is "Free to download. Pay when it works." and nothing is charged when nothing is found ("Nothing found, nothing spent.").

FranceUKMexico
Find Pack (3 searches, never expire)€4.99£3.99MX$89
Pro weekly€9.99£8.99MX$199
Pro monthly€14.99£12.99MX$299
Pro yearly€49.99£44.99MX$999

(App Store pages by region, 11-06)

The store listing even states outright: no affiliate commissions, and commissions never affect ranking. That line is aimed at price-comparison tools like Phia that earn through referral fees.

How it got "#1 Top Grossing"

From late October to early November, it hit #1 on the shopping Top Grossing chart in Panama, Peru, Uganda, Nigeria, Angola and Nepal, #3 in Turkey and Ukraine, and #6 in Mexico.

The question is how deep these charts actually go. As of Nov 5, the Shopping Top Grossing chart in Nepal had only 17 apps, Angola 40, Uganda 46, Nigeria 135. Only a handful of big markets had a full 200: Mexico, France, Germany, the UK (App Store chart, 11-05). Amazon, Shein and other big e-commerce players don't use Apple's in-app purchase, so they never make the Top Grossing chart. The shopping grossing charts are mostly filled by subscription utilities, like package trackers and car plate lookup apps. On a chart with only a dozen apps, one €5 Pack purchase can push you up to #1.

The UK tells the real story: it ranks #63 to #153 on the UK Top Grossing chart (a full chart of 200). People in the UK are paying, but only a few.

The ratings come from countries without Vinted

By Nov 6 it had 291 ratings worldwide in total. In Oct 28 it had 266, adding 25 more over 9 days, or 0 to 7 a day.

The countries with the most ratings are: Mexico 40, Brazil 25, Ukraine 23, Algeria 18, Canada 17, Angola 16, Switzerland 14, Norway 13, Turkey 11, Colombia 10. Most of these countries don't have Vinted.

And the countries where Vinted users are concentrated? France 6, Italy 3, Germany 1, the UK and Spain 0 each. The UK App Store page reads "This app has not received enough ratings or reviews to display an overview."

For comparison, Refind, which does the same thing (launched April 2025 years earlier): France 1,417, UK 701, Italy 583, Poland 441, which matches where Vinted users are.

The ratings cluster in low-cost countries without Vinted, and nearly all are 4.5 to 5 stars. That looks a lot like bought installs or inflated ratings in those countries, or possibly Apple Search Ads on generic terms like "style scanner" (inference, not verified; the public ad libraries show no ad activity for it). Either way, those users can't use its core feature.

Where users come from

Three things can be confirmed, and none of them has taken off in Vinted's core markets:

  1. "Vinted" is right in the name, which feeds App Store search. The subtitle "Style Scanner" collides with another older app, StyleScanner. In Apple's "Customers also bought" it sits alongside Vendly and Depop Monitor, Vinted-adjacent tools. The cost is using someone else's trademark, which could get it pulled after a complaint at any time.
  2. Multilingual SEO site vintedfinder.com in English, French, German, Italian and Spanish, about 9 blog posts per language, plus landing pages like "vinted dupe finder" and "vinted alerts". The first blog post went up on Jun 16, a month before the app launched.
  3. TikTok photo-carousel alt accounts, the two from the opening.

Separately, outfit creator Charlotte Kewley posted an Instagram reel about Vinted's built-in image search, and a commenter wrote "There's an app called Vinted finder where you can add screenshots from all sorts of websites! (Pinterest even!!)". Whether that commenter was in-house can't be confirmed.

No press coverage found, no discussion on Reddit or X, no public revenue, and not on Product Hunt.

Who it's competing with

CompetitorsScaleCompared with alternatives
Vinted's built-in image searchAll platformsFree, available inside the Vinted app. It was pulled a week after launch in September 2025, then re-released in the first half of 2026; bloggers have since written tutorials and filmed reels about it. The Vinted Finder site's headline reads "finds what Vinted image search misses"
RefindAbout 6,876 ratings, 1,417 in France and 701 in the UKLaunched 15 months ago, searches Vinted, Depop, Vestiaire and Grailed at once, and has actually won over Vinted users
Phia22,801 US ratings, fundedFree, earns through affiliate commissions, does price comparison and secondhand alternatives
StyleScanner, Screenshop1,600 to 1,900 ratings eachGeneric screenshot-to-clothes search, results are mostly new arrivals
FaircadoAbout 231 iOS ratings, plus a Chrome extensionFree, aggregates several secondhand platforms, has creator videos (one with 427k views)
Scanna AI68 ratings, mostly in the UKLaunched in Aug 24, a month and a bit after it, same Vinted-finding idea
Google Lens / Pinterest LensHugeFree, but can't find items currently listed on Vinted

(App Store rating count, 11-06)

The platform itself offers a free feature, with Refind, which launched over a year earlier, in the middle, and the newly emerged Scanna below. This is not an empty market.

Three things worth taking

  • "Show the image first, pay before you get links," plus "no credit used if nothing is found." For AI finder tools, users' biggest fear is paying and getting the wrong result. This design lets users confirm the match before paying, and it can be applied directly to finding secondhand furniture, sneakers, figures and vintage clothing.
  • Tiered results. Three tiers: "exact match / nearly identical / style alternative." This sets expectations first, so when the AI match is off, users don't feel cheated.
  • Pricing structure. A 3-credit small pack lowers the barrier to a first payment, with weekly, monthly and annual plans on top. The €9.99 weekly plan is expensive, but for someone who wants to find this exact garment today it isn't unreasonable (inference).

If it were you

One-line verdict: The product itself hasn't taken off, and the category is crowded. I don't recommend copying it as a Vinted clone. Its paywall is worth learning from and applying to a different category.

Who it suits: People who already have traffic in a secondhand or collector community (a sneaker account with a few thousand followers, a vintage account, a secondhand furniture account) and want to build a "screenshot-to-find-the-same-item" tool for their followers.

Who it doesn't suit: People without traffic who expect to grow through store search and AI sub-accounts. That's how Vinted Finder works, and after more than three months its core markets have only 10 ratings.

How to do it: Pick a secondhand marketplace or niche category where the platform hasn't built image search itself and there's no old rival like Refind, for example Spain's Wallapop, France's Leboncoin, Japan's Mercari, or sneakers-only or secondhand-furniture-only. Copy the "image first, pay later, no credit for no results, three result tiers" setup, sell a 3-credit small pack first, then push subscriptions. Don't use the platform's trademark in the name.

How to get users: Don't copy its sub-accounts posting image-and-text content that nobody watches. Find creators in that category who actually have followers and film real-person videos: "I found this from a screenshot." Faircado had one creator video with 427k views, more than hundreds of image posts from Vinted Finder's two accounts combined.

When to move: The sooner the better. Vinted has already pushed this category forward, and whichever secondhand platform builds image search in-app first will close the window for everyone else.

What would show I'm wrong: If over the next month or two Vinted Finder's ratings in France, the UK and Germany climb into the hundreds, and it holds a top-50 spot on the UK Top Grossing chart, then its approach works in core markets, and this path is wider than I've judged here.

iOS store page ↗

Research notes: competitor table, acquisition evidence, full research report
Competitors
NameWhereLaunchedScaleHow it differs from this one
Vinted has built-in image searchBig-company features2025-09 launched, pulled after a week, re-released in the first half of 2026All of VintedFree, in-app. Vinted Finder's pitch is more accurate matching, searching across 12 markets, listing alerts, and searching straight from Pinterest and TikTok screenshots
Refind: Find clothes by photoiOS2025-04-2144 stores combined about 6,876 ratings (fr 1,417, gb 701), +11 in 7 daysSearches Vinted, Depop, Vestiaire and Grailed at once, with a recommendation feed. Users really are on the Vinted market. Vinted Finder only does Vinted, but adds "pay before you see results" and match-tier grading
StyleScanner: Find ClothesiOS2025-02-251,645 ratings combined (us 802)Generic photo-to-clothes search, a new-arrivals e-commerce product. Vinted Finder's subtitle overlaps its keywords
Screenshop - Clothes FinderiOS2024-09-161,871 ratings combinedGeneric screenshot-to-clothes search, not secondhand
PhiaiOS2025-01us 22,801 ratings, fundedFree, earns through affiliate commissions, does price comparison and secondhand alternatives. Vinted Finder charges a subscription and says it takes no commission
FaircadoChrome2023About 231 iOS ratings, plus a Chrome extension and TikTok creator contentFree, aggregates several secondhand platforms and supports image search. Vinted Finder only focuses on Vinted and charges
Google Lens / Pinterest LensBig-company featuresAlready aroundMassive user baseFree, but can't find items currently listed on Vinted
Where users come from
  • Verified Store search (the name uses the trademark "Vinted" and takes the "Style Scanner" keyword in the subtitle): the app is named Vinted Finder: Style Scanner, and under Apple's "You Might Also Like" it sits alongside Vinted-adjacent tools like Vendly and Depop Monitor.
  • Verified Multilingual SEO site: vintedfinder.com runs in five languages (en/fr/de/it/es), with about 9 blog posts each, plus vinted-dupe-finder and vinted-alerts landing pages. The first blog post is dated 2026-06-16, before the app launched.
  • Verified TikTok faceless image-and-text sub-account network: @phoebe.finds.it (15 followers, 176 posts) and @giulia.searches.vinted (6 followers, 130 posts), with AI-templated captions, each getting 250–1,200 views.
  • Inferred Instagram comment-section seeding: Under a fashion creator's reel about Vinted's built-in image search, someone comments recommending Vinted Finder. Unclear whether they're affiliated.
  • Inferred Paid acquisition or rating boosting in low-cost countries: Ratings are concentrated in mx, br, ua, dz, ao, tr and other countries without Vinted, at 4.5–5.0 ratings each. No ads show up in the ad libraries.

Vinted Finder: Style Scanner (ios_6786695195) research report

In one line: an indie iOS app by Really Nice. You drop in outfit screenshots from TikTok, Pinterest or Instagram, and it finds matching secondhand items across 12 Vinted markets, and also searches independent stores like Vestiaire. Images are shown free; to see item names, prices and links you pay: a 3-search Find Pack (€4.99 / £3.99), or a Pro subscription (weekly €9.99, monthly €14.99, annual €49.99). Research date 2026-11-06. Data: our appstore / metaads / tiktokads libraries (2026-10-28 to 11-06), Apple's lookup API, the App Store web pages, TikHub, and Jina/Exa/Brave search.

Conclusion first

It hasn't actually taken off. The impressive signals at recall are mostly artifacts of the charts.

  1. "Top Grossing #1" is worth nothing. Its #1 placements are on shopping Top Grossing charts in small storefronts like Nepal, Uganda, Panama, Nigeria and Angola. 11-05 these charts only have 17 to 135 apps in total (np 17, ao 40, ug 46, ng 135), so in a storefront like this, a single in-app purchase is enough to chart. Even Mexico's shopping Top Grossing chart is the same: its top 25 are almost all subscription utilities like package tracking and VIN lookup. The reason is that big e-commerce players don't use Apple's in-app purchase, so they don't appear on the chart, and the bar is low.
  2. The countries where ratings come from don't match where the product can be used. Vinted's core markets are France, the UK, Germany, Italy, Spain, the Netherlands and Poland, and here it has only fr 6, it 3, de 1, gb 0, es 0 ratings. Most of its 291 ratings come from Mexico 40, Brazil 25, Ukraine 23, Algeria 18, Canada 17, Angola 16, Switzerland 14, Norway 13, Turkey 11 and Colombia 10 (appstore library, 11-06). Most of these countries don't have Vinted at all. Refind, which does the same thing in the Vinted market, is the opposite: France 1,417, UK 701, Italy 583, Poland 441, a distribution that matches Vinted's user base.
  3. Growth is very small. Worldwide it adds 0–7 ratings a day, and from 10-28 to 11-06 it gained 25 (266 → 291). The number of countries where it charts has stayed between 64 and 69, and most storefronts only have single-digit ratings.

So the answer to "why would it take off" is: it hasn't yet. It got the product positioning and monetization design right. On acquisition, three things are visible so far: putting "Vinted" in the app name to capture store search, a multilingual SEO site, and a batch of TikTok image-and-text sub-accounts with AI-written captions. None of the three has gained traction in core markets. Ratings are concentrated in countries without Vinted. My guess is that low-cost-country traffic was bought or ratings were boosted, but I haven't verified this.

1. Data

MetricValueSource
Launched2026-07-16, current version 1.10 (released 2026-09-21, US market added)Apple lookup
Global ratings291 (10-28 is +25 in 266,9 days)appstore library app_day
US ratings12 (4.92 points)Apple lookup 11-06
FR / IT / DE / UK / ES6 / 3 / 1 / 0 / 0Apple lookup 11-06
Storefronts with the most ratingsmx 40 (4.78), br 25 (4.96), ua 23, dz 18, ca 17, ao 16appstore app_snapshot 11-06
top grossing best rankShopping top grossing #1: pa, pe, ug, ng, ao, np; tr #3, ua #3, mx #6, co #6, gb #63–153appstore chart_rank 10-28 to 11-06
How deep these charts gonp 17, ao 40, ug 46, pa 112, ng 135; mx, fr, de, gb are all 200chart_rank 11-05
Pricing (fr)Pack 3 uses €4.99; Pro weekly €9.99 / monthly €14.99 / yearly €49.99 (discount €44.99)App Store fr page
Pricing (gb)Pack £3.99; weekly £8.99 / monthly £12.99 / yearly £44.99App Store gb page
Pricing (mx)Pack MX$89; weekly MX$199 / monthly MX$299 / yearly MX$999App Store mx page
Ad librariesTikTok ad library (only covers ads run in Europe) marked no_ads; Meta ad library doesn't have ittiktokads adv_map, metaads

Note: its top grossing rank in gb is 63–153 (out of a chart of 200). So there is some paying in the UK, but at a very small scale.

2. Competitors

ProductWhereLaunchedScaleHow it differs
Vinted's built-in image searchBig-company features2025-09 launched, pulled a week later; relaunched in the first half of 2026 (Savvy in Somerset 2026-06-09 wrote a tutorial; style creator Charlotte Kewley's Instagram reel called it "My favourite Vinted tool")All of VintedFree, works inside the app. Vinted Finder's site tagline is "finds what Vinted image search misses". It pushes more accurate results, searching across 12 markets, listing alerts, and searching straight from Pinterest or TikTok screenshots.
Refind: Find clothes by photo(VASTE COMPANY LLC)iOS2025-04-2144 stores combined about 6,876 ratings (fr 1,417, gb 701), +11 in 7 daysThe most direct rival. It searches Vinted, Depop, Vestiaire and Grailed at once, plus a discovery feed. Its users really are on Vinted. Vinted Finder only does Vinted. The difference: it's "pay before you see", exact-match tiers, and listing alerts.
StyleScanner: Find Clothes(AntiSocial Apps)iOS2025-02-251,645 ratings in total (us 802), 11-05 Mexico shopping top chart #10General "photo to find clothes", results-driven new-product e-commerce. The name "Style Scanner" overlaps with Vinted Finder's subtitle keywords.
Screenshop - Clothes Finder(Viral Development)iOS2024-09-161,871 ratings in total (us 787, sa 304)Generic screenshot-to-clothes search, not secondhand
Phia (Phia Holdings, co-founded by Phoebe Gates)iOS / browser extension2025-01us 22,801 ratingsCompares prices and finds secondhand alternatives. Free, earns through affiliate commissions. Vinted Finder deliberately states "no commission, ranking isn't affected by commission".
FaircadoiOS / Chrome extension / web2023-04(App)About 231 iOS ratings; Chrome extension, TikTok creator content (@xenja.thrifts one post with 427k views)Aggregates multiple secondhand platforms, image search, free
Scanna AI - Clothes Finder (individual developer)iOS2026-08-2468 ratings (gb 31), 7 days +10Launched more than a month later, also focused on finding the same item on the Vinted market. A latecomer.
Google Lens / Pinterest LensBig-company featuresAlready aroundMassive user baseFree, but can't find listings currently for sale on Vinted

Verdict: this niche is crowded, not an empty market. Refind launched 15 months earlier and actually took the Vinted users.

3. Growth tactics (evidence found)

  1. App Store search (ASO), the name directly uses "Vinted" (confirmed). The app name is "Vinted Finder", and the subtitle "Style Scanner" goes after StyleScanner's generic keywords. In Apple's "You Might Also Like", it sits alongside Vendly, Depop Monitor and other Vinted add-ons (apps.apple.com/by/app/6786695195?see-all=customers-also-bought-apps). Naming it after another brand's trademark carries a takedown risk.
  2. SEO sites (confirmed). vintedfinder.com has five languages (en/fr/de/it/es), about 9 blog posts per language, plus landing pages like /vinted-dupe-finder and /vinted-alerts (going by the sitemap). The earliest blog post is from 2026-06-16 (Exa), a month before the app launched. The developer's other sites, slushable.com and vurbit.com, follow the same playbook: one app, one SEO site, one web calculator.
  3. Faceless TikTok photo-post account network (confirmed, but weak results). @phoebe.finds.it has 15 followers and 176 posts; @giulia.searches.vinted has 6 followers and 130 posts. All are photo carousels, several a day (for example 9-29 and 9-30 post 4–5 times a day). The captions follow the same AI template ("1. I start with the screenshot… 2. …"), and each post gets only 250–1,200 views (from the TikHub post list). Searching TikTok for "vinted finder" and "vintedfinder", none of the top 20 results are its content.
  4. Instagram comment seeding (not verified whether it's internal). Under style creator Charlotte Kewley's (@thelittlestylist) reel about Vinted's built-in image search, @wannabebridgetjones commented "There's an app called Vinted finder where you can add screenshots from all sorts of websites! (Pinterest even!!)"
  5. Volume from low-price countries (inferred, not verified). Ratings cluster in mx, br, ua, dz, ao, tr, co, eg and ng, countries without Vinted, and nearly all ratings fall in 4.5–5.0. That fits a pattern of installs bought in cheap countries to push up ratings. It could also be Apple Search Ads run in these countries on generic terms like "style scanner". No ads turned up in the libraries (Meta doesn't index it, TikTok's library only covers Europe), so this can't be confirmed.
  6. Not found: media coverage, discussion on X (x-radar: 120 posts in the last 0 days), Reddit discussion, public revenue (nothing on TrustMRR, no founder revenue posts), Product Hunt.

4. Why it charts where it does

  • The shopping top grossing charts are dominated by subscription utilities; big e-commerce apps don't use in-app purchases. Small-country charts have only a dozen to a few dozen apps, so a €5 Pack is enough to reach #1. Charting in 65 storefronts means scattered payers around the world, not big revenue.
  • Aggressive pricing like the €9.99 weekly plan lets a handful of paying users push the rank up.

5. Differentiation, and whether it's really why it grew

  • The product differences are real:
    • It shows you matched images for free and only charges for the product name, price and link ("Free to download. Pay when it works.");
    • No results, no credit spent;
    • Results are tiered: found it (the exact item), so close (nearly identical), same energy (similar-style alternatives);
    • Saved searches, listing alerts and price-drop alerts;
    • Searches with the wording sellers use in listing titles, covering 12 Vinted markets at once;
    • Claims no commission.

These address the gaps in Vinted's built-in image search: it only searches the local site, and whether the results match is largely guesswork.

  • But these aren't why it's growing, because it isn't growing yet. The core markets (US, UK, DE, IT, ES) total only 10 ratings. The differentiation hasn't spread, and rival Refind and Vinted's own feature stand in the way.

6. What to borrow

  • "Show the picture first, pay before you get the link" plus "no results, no credit spent" is a well-designed paywall. It can be copied to any "AI find it" tool (secondhand furniture, sneakers, figurine dupes).
  • Results split into "identical / nearly identical / similar style" tiers, which lowers the gap between what users expect from AI matching and what they get.
  • A one-person playbook: one vertical tool plus a multilingual SEO site, plus faceless TikTok photo accounts. Low cost, but this case shows those alone don't get it off the ground.
  • There's room to run the same play on other platforms (Depop, Wallapop, Grailed, Mercari, Leboncoin), but each platform could add image search itself.

7. Still unclear

  • Whether the ratings from non-Vinted countries come from paid installs, rating manipulation, or real users (for example, people using the US store).
  • Real revenue: top grossing rank only shows scattered payments.
  • Whether it's running Apple Search Ads or Meta ads: our Meta library doesn't index it, so this can't be ruled out.
  • Will using another brand's trademark in a listing get it taken down by Vinted?

Sources

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