Is Marés próximas a mim Legit & Safe?
With 4.8 stars across 8,176 ratings, Marés próximas a mim is an established app on the App Store. The 1-3 star reviews below show the specific issues some users hit, not red flags about the app itself.
Based on public App Store data and user reviews. Not affiliated with Shelter Island Mapping Company, LLC.
What users complain about in Marés próximas a mim
Users primarily complain that the app no longer provides tide information for Brazil, a feature that previously worked. Many also report frequent crashes when selecting locations, and some mention the lack of useful features like widgets or Apple Watch integration.
Summarized from 27 recent 1-3 star reviews.
Marés próximas a mim: frequently asked questions
Is Marés próximas a mim legit?
Marés próximas a mim is a legitimate app listed on the App Store with a 4.8 star rating from 8,176 ratings. "Legit" and "good for you" are different questions: the 1-3 star reviews below show where real users run into trouble.
Is Marés próximas a mim safe to download?
Marés próximas a mim is distributed through the official App Store, which screens apps before listing. The main safety questions for most users are around subscriptions, data permissions, and billing. The negative reviews below surface those concerns when users report them.
Is Marés próximas a mim a scam?
Marés próximas a mim is a real, store-listed app rather than a scam link. As with any app, scan the negative reviews below for billing or subscription complaints so there are no surprises after install.
Why does Marés próximas a mim have negative reviews?
Even well-rated apps collect 1-3 star reviews when users hit specific friction: crashes, paywalls, account issues, or missing features. The reviews below group these complaints so you can judge whether they affect your use case.
Should I download Marés próximas a mim?
For most users, Marés próximas a mim is a safe choice given its 4.8 star rating. Skim the negative reviews below to check the edge cases (regional limits, payment methods) that the high average hides.