Is ダイエット記録カレンダー ハミング Legit & Safe?
With 4.6 stars across 53,934 ratings, ダイエット記録カレンダー ハミング 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 urecy.
What users complain about in ダイエット記録カレンダー ハミング
Users frequently complain about intrusive, unskippable video ads that disrupt the app's functionality, especially during quick weight logging. Many report issues with HealthKit integration, including syncing failures and persistent prompts. Other common frustrations include photos saving in incorrect orientations and a lack of basic features like search or stamp customization.
Summarized from 100 recent 1-3 star reviews.
ダイエット記録カレンダー ハミング: frequently asked questions
Is ダイエット記録カレンダー ハミング legit?
ダイエット記録カレンダー ハミング is a legitimate app listed on the App Store with a 4.6 star rating from 53,934 ratings. "Legit" and "good for you" are different questions: the 1-3 star reviews below show where real users run into trouble.
Is ダイエット記録カレンダー ハミング safe to download?
ダイエット記録カレンダー ハミング 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 ダイエット記録カレンダー ハミング a scam?
ダイエット記録カレンダー ハミング 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 ダイエット記録カレンダー ハミング 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 ダイエット記録カレンダー ハミング?
For most users, ダイエット記録カレンダー ハミング is a safe choice given its 4.6 star rating. Skim the negative reviews below to check the edge cases (regional limits, payment methods) that the high average hides.