Analyzed automatically. Assessed 2026-10-04 from 917 user reviews, the store listing and its privacy label. We have not scanned the app's package, so nothing on this page was read from inside the app itself.
App Store
This analysis describes version 1.92.1 of the app, analyzed 2026-10-04 . The app may have changed since.
The store currently lists version 1.92.1, updated 2026-09-14.
Google Play
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 VARY, updated 2026-09-11.
What the analysis found
Positive evidence 1
Things this app does right, published at the same strengths as the catch list.
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.
Tracking and data collection concerns
Used to be cool, but now it forces you add pictures of yourself which is invasive. Also the app is discriminatory doesn't recognize faces. Probably 24 is going to sell our data and face pictures to the highest bidder than blame hackers…
App works fine, wish I didn’t need it — Why can’t I just have a physical barcode/keychain like every other gym? Total pain, probably selling my information/location data.
Forced Profile Updates Every Time, Common Issue — App forces me, and others I know, to update profile and preferences every time I open it. It’s already harvesting so much user data & diagnostics. Why do I have to spend 2 minutes updating…
What this app sells
How the automated analysis works
This assessment is produced automatically. Three independent signals are read — user reviews, 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.
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.