We analyzed this app across 2 independent signals and corroborated nothing unfair. That is a signal, not an audit.
This analysis describes version 6.24.300 of the app, analyzed 2026-10-04 . The app may have changed since.
The store currently lists version 6.24.300, updated 2026-10-02.
What the analysis found
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.
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
You need this. — This is one of the best apps if you get annoyed of ads every 5 min it feels like the old times.
Actually awesome — They asked me to make a review and I accidentally said no but I genuinely love this app and only having one ad to open access every other app is so fair #swag app
This is the best app I ever use — Like every time I’m at 5% or 10% or 1% I use this app so it doesn’t give me ads because when my dad is gonna come for me I can’t reach so I use this app so it doesn’t give me ads so I don’t have to use my…
How the automated analysis works
This assessment is produced automatically. Two independent signals are read — user reviews and the store listing — 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 It was withdrawn because it discriminated too weakly to be the instrument — 44.7% of every pair of apps tied — and because a single number is a verdict where a count is an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.
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.