Winning products fix an insecurity or sell a shortcut.

Find the ones already being paid for on Meta: the ad and how long it has run, the store and what it charges, the AliExpress side, and how many advertisers are on it. Measured, not predicted.

majorka.io/app/products real data
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Indexed from

  • Meta Ad Library
  • Shopify storefronts
  • AliExpress
  • TikTok

Brands already in the directory

Running at last check · hover to read

[ Winning products ]

Six things we check before you spend a dollar

The same checks an operator runs by hand, with the receipt for each one pulled from the library. A product that passes all six has already been paid for by someone else, and not by everyone.

  1. 01

    It fixes something people are embarrassed about.

    Snoring, thinning hair, a soft jawline, puffy eyes. Embarrassment buys faster than logic, and it buys again. Look for the problem first and the product second.

  2. 02

    Or it sells the result without the old way.

    No dentist, no salon, no gym, no physio. The wider the gap between what the result usually costs and what the ad promises, the harder the ad works. The best headlines name the old way and price against it.

  3. 03

    It demos in three seconds.

    A brush pulling fur off a seat. A face before and after. If the product cannot show its result on camera the ad has to explain it, and explaining is what costs money.

  4. 04

    The margin is there before the ad spend.

    A store price several times the listing it is sourced from. Anything less and the first ad test eats the profit. The sourcing side is public; so is the store page.

  5. 05

    Someone is already paying to keep it running.

    Nobody funds a losing ad for two months. An ad still being paid for long after launch is the only receipt that matters, and Meta publishes the start date for anyone to check.

  6. 06

    You would not be the twentieth store on it.

    The lists every tool shows are the same lists, and by the time a product is on them it is crowded. Count the advertisers already working the angle before you spend: a handful means early, a crowd means late.

[ The board ]

Every angle, measured

One store per angle. Switch the measure to see how long its ad has run, how many ads the store had live at the last check, or how many advertisers in the whole library are already working the same angle. Hover a bar for the full receipt.

Days running are counted from Meta’s own start date to the day the ad’s status was last confirmed. “Advertisers on the angle” counts stores anywhere in the library whose ad copy works the same problem. Prices are the stores’ and AliExpress’s own.

Start free

[ Shops ]

Find the stores winning right now

Every Shopify store in the directory was found through the Meta ads it runs. Filter by niche, country, theme and apps, then open any store for its ads, launches, best sellers and stack.

M
Stores advertising on Meta

The store database

Stores, each one an advertiser whose ads are in the library, with presets for new winners, big spenders and long runners. Nothing is listed that was not seen advertising.

Analyze any store and competitor

Ads at the last check and launches over time, the catalogue and its best sellers in the store’s own order, and the pixels, theme and apps read from its storefront. No traffic guesses.

  • Stores advertising on Meta
  • Filters by niche, country, theme and apps
  • Every count stamped to its last refresh
  • Best sellers from the storefront itself

[ Store page ]

Open the store behind the ad

Every advertiser in the library has a page: its ads with Meta’s dates, its launches and traffic over time, its catalogue and best sellers, and the pixels and apps on its storefront. Counts are stamped to the last refresh; every ad links to Meta’s record.

[ Ads ]

The ads library that shows what is still being paid for

Search Meta and TikTok ads by status, creative type, reach and run length. Every Meta ad links to its own page in Meta’s Ad Library, so the dates are theirs, not ours, and you can see whether it is still live today.

Ad explorer

Presets for winner, scaling, new and evergreen; filters for status, creative, reach and spend; sorts by trending, reach, newest, longest and duplicates. Transcripts and downloads on every ad.

Longevity is the signal

Nobody funds a losing ad for months. Each card shows how many days the ad was paid for continuously when we last checked, with Meta’s own variant count — the evidence that actually exists, so those are the numbers on the card.

[ API access ]

Ask your AI

Connect Claude, ChatGPT or any MCP client to the same index and ask in plain words. Stores, ads, emails and creators come back with their measured numbers and Verify links, through one Bearer key.

MMajorka MCP
Works withClaudeChatGPTCursorany MCP client

[ Compared ]

Measured, not predicted

Every tool in this category shows a winning-products list. The difference is what sits behind the number. Here is what each one shows for a product, from its own public pages.

  • Where the data comes from

    • MajorkaMeta Ad Library, Shopify storefronts, AliExpress listings
    • KalodataTikTok Shop only
    • MineaAd libraries (Meta, TikTok, Pinterest)
    • TrendTrackMeta ads and Shopify stores
  • Revenue figures

    • MajorkaNone invented. The store’s own price and AliExpress’s own sold count
    • KalodataAI-refined estimates, by its own FAQ
    • MineaNot a product field
    • TrendTrackEstimated spend and traffic
  • How long an ad has run

    • MajorkaMeta’s start date, with a Verify link to Meta’s record
    • KalodataNo Meta ads
    • MineaShown, no link to the source
    • TrendTrackShown, no link to the source
  • Advertisers already on the angle

    • MajorkaCounted across the library: early, contested or crowded
    • Kalodata—
    • Minea—
    • TrendTrack—
  • Sourcing comparable with sold count

    • MajorkaA real AliExpress listing beside the ad
    • Kalodata—
    • Minea—
    • TrendTrack—
  • The store behind the ad

    • MajorkaBest sellers, pixels, theme and apps read from the storefront
    • KalodataShop revenue estimates
    • MineaAdvertiser shop details
    • TrendTrackBest sellers and traffic estimates
  • Pricing

    • MajorkaOn the page
    • KalodataBehind sign-up; Starter shows the top ten
    • MineaOn the page
    • TrendTrackOn the page

From each tool’s public pages and FAQ as of 4 Nov 2026. A dash means the public page does not show it. Kalodata’s FAQ says its transaction amounts “might have small variations from real-world numbers” and its pricing page needs an account; we quote that rather than judge it.

Start free

[ F.A.Q ]

Questions sellers ask first

Can’t find your answer? Email support and a human replies.

  • A research desk for people who sell physical products online. It holds a directory of Shopify stores built from the Meta ads they run, a library of Meta and TikTok ads, a product catalogue with public order data and a 0 to 100 verdict, TikTok creators, and a watchlist that snapshots stores and products every day.

  • Nothing on Majorka is an estimated revenue figure. Every Meta ad links to its own page in Meta’s Ad Library, so its start date and variant count can be checked by anyone. A store’s price, best sellers, pixels and apps are read from its own storefront. The AliExpress comparable is a real listing with the marketplace’s own sold count. And for every angle you see how many other advertisers are already on it. Where a number is Meta’s own estimate, such as reach for EU and UK ads, it is labelled as one; where there is no measurement, nothing is shown.

  • Dropshippers choosing a next product, Shopify store owners watching the stores they compete with, and media buyers looking for angles that are still being paid for. If you decide what to sell or what to run, the data is for you.

  • Yes, and you can check before paying: the product of the day is one full analysis published free every day, and the Academy is a free course on reading this kind of data. The verdict shows its four factors and the reason behind each, so a beginner learns why, not only what.

  • The ads library sorts by longest running and tags ads that have been live for 120 days or more and are still active. Those are the angles someone is still paying for. Any store page shows what it launched this month, so you see the replacement creative while it is new.

  • Browsing the directories is not metered. Lookups are: the URL analyzer and live pulls by @handle, domain or Facebook page count against a per-cycle allowance of 5,000, 10,000 or 20,000 depending on plan. Watchlist and tracked-store rows are capped per plan as well.

  • The product catalogue refreshes daily. Every ad carries the date its status was last confirmed, and every block on this page is stamped with when the library was last refreshed, so you never have to guess how old a number is. The Verify link on any ad shows Meta’s record today.

[ Wall of proof ]

Ads someone has paid for every day for months

Not reviews. Each card is a real ad from the library with the number of days it was paid for continuously when we last checked. Open Verify and Meta shows you its record today.

Stop paying for ad tests to learn what a database already knows

The stores already selling it, the ads already running, and how long they have been paid for. Make the next call on evidence.

Hidden gemsNew winnersProven winnersScaling nowBig spendersLong runners
ShopActive ads
Stack detected from each storefront’s own code