What’s the catch? Aggressive ad load — reported by 154 users.
Analyzed automatically from 3 independent signals that had to agree — not a hands-on test, and not human-reviewed.
This analysis describes version 3.1.13 of the app, analyzed 2026-10-05 . The app may have changed since.
The store currently lists version 3.1.13, updated 2026-05-12.
What the analysis found
The catch list 1
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.
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
Way too many ads — Too many ads
Impossible to use now — Used to be a great app but now there’s so many ads it’s impossible to use. Also doesn’t have alerts on it anymore? Which makes 0 sense. I guess you have to pay to make the app useable in any sense which is not right.
Too Many Ads — Having pop up ads every time you click on a different metro stop is ridiculous. Has become unusable.
Upgrade prompts use guilt-trip wording
This apps inclusion of ads is ridiculous — Every single time you open this app the first thing you see is a pop up to buy the premium account for the app. Then you have to sit through at least 2 ads before you get to the information you…
You have to pay to use a map to access information about public transportation. — Shameful. You have to pay to use a map and and information about public transportation. And if you don’t, it prompts you to pay or look at an add instead of…
Generally Good App - Too Many Ads — Overall the app is very good. Generally predicts train times well, but there are too many pop-ups (generally ads, sometimes the request to subscribe to premium) doubling the time it should take to check…
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.