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Supersonic Studios LTD · Lifestyle

Analyzed automatically. Assessed 2026-10-04 from 981 user reviews, the app's package, the store listing and its privacy label.

Analyzed automaticallyConfidence: Medium6 signal sources981 reviews scannedNot human-reviewedas of 2026-10-04
 Which version this describes

We cannot tell which version of the app this analysis describes. It was run 2026-10-04 , and the app may have changed since.

The store currently lists version 9.66, updated 2026-09-29.

What the analysis found

Each finding shows what agreed and how strongly. Automated analysis

The catch list 2

Charges we publish at a strength we stand behind: measured from an artefact, agreed by independent sources, or reported by enough users to clear that charge's own published bar.

Multiple ad networks bundled
Measuredfrom SDKs in the app packageartefact 3a5204256de8…
The package embeds several distinct advertising or mediation SDKs — a stack built for ad volume, not for a single house ad.
What we saw: Bundles 16 distinct ad networks / mediation SDKs: Amazon Publisher Services, AppLovin MAX, BidMachine, Chartboost and 12 more
Reported by users: Aggressive ad load
Reported by 142 usersReported by users, not measured — nothing we can inspect could show this either wayview evidence
Advertising volume or placement that interrupts normal use: ads between every action, unskippable or forced full-screen ads.
What we saw: Raised by 142 distinct reviewers — 14.5% of the 981 reviews scanned on this store leg (Google Play).

One source only — shown, not confirmed 1

A single kind of evidence. We publish these because withholding them would be the bigger distortion, and we do not treat any of them as a finding we stand behind.

Reported by users: Reports that the ads misrepresent the app
One source onlyShown, not confirmed — the only source is user reviews.view evidence
Reviewers repeatedly report that the app is not what its advertising showed. We never see the ad creative itself, so nothing we collect can corroborate or refute this — it is published as an attributed user report: what reviewers say, and how many of them said it.
What we saw: Misleading advertising: raised by 7 distinct reviewers (0.7% of 981 reviews scanned)

What reviewers said

Verbatim excerpts from public store reviews, shown as corroborating user reports. They are not Appworthy audit evidence, and a quotation is not proof of the finding it sits under.

Aggressive ad load

too much ads

1★ · Google Play · 2026-09-22

Too much Adds

1★ · Google Play · 2026-10-01

this is game delicious but every 30 seconds adds coming I hate thi game

2★ · Google Play · 2026-09-30

Reports that the ads misrepresent the app

Trash game. Fake advertisement

1★ · Google Play · 2026-09-24

another Paid no ad game they are paying for fake reviews obviously.

1★ · Google Play · 2026-09-22

gives you ads when you don't touch the screen for 10 secs and ITS ALMOST nothing like the ads

1★ · Google Play · 2026-09-08

What this app sells

Every purchase the store discloses. Store listing
 What this app sells
Google Play doesn’t publish per-purchase prices, so this list covers the other store only.

How the automated analysis works

Automated, corroborated, and never human-reviewed without a person.

This assessment is produced automatically. Six independent signals are read — user reviews, SDKs in the app package, the app's own on-screen text, the app manifest, the store listing and the store privacy disclosure — and each candidate finding is filed under the sources that support it.

No charge stands on one kind of evidence — with one published exception. A finding is either a measured fact that anyone can reproduce (an ad SDK is in the package; every subscription bills weekly; the privacy label omits a tracker we can see), or it is an interpretation — and an interpretation needs independent sources to agree before it reaches the catch list. The exception is a harm only users can see: a charge may publish from reviews alone, as “Reported by N users”, once enough reviewers raise it to clear that charge’s own published bar. That agreement rule is what replaced the human reviewer, not a model’s confidence.

There is no overall score, on purpose. A 0–99 number was published here until 2026-09-15. It was withdrawn because it discriminated too weakly to be the instrument — 44.7% of every pair of apps tied — and because a single number is a verdict where a count is an observation. What publishes instead is a row of measurements, each of which says what was counted and, where we could not look, says that instead.

Findings under One source only are real reports we do not stand behind as findings. They are shown because withholding them entirely would hide a genuine complaint, and labelled because publishing them as charges would be an accusation off a single source.

 Not yet human-reviewed

Several measurements above say “Not assessed” because no artefact we hold can answer them. A human review is what resolves those — and it can remove a favourable band as easily as add one.

Hands-on inspections are not yet open.

 How this page was produced
Analyzed 2026-10-04 Version analyzed: unknown6 independent signals981 reviews scannedConfidence: MediumNot human-reviewedVocabulary v1.13Methodology v1.3
Signals run: user reviews, SDKs in the app package, the app's own on-screen text, the app manifest, the store listing and the store privacy disclosure.