Is 루션 - 다이어트&식단/체중/운동기록 Legit & Safe?
With 4.7 stars across 1,269 ratings, 루션 - 다이어트&식단/체중/운동기록 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 Kurly Corp..
What users complain about in 루션 - 다이어트&식단/체중/운동기록
Users frequently report technical issues like app crashes, infinite loading, and errors in recording data. Many complain about limited functionality, such as the inability to record various exercises or modify initial calorie goals. Additionally, the AI feedback and food search features are criticized for being inconvenient and inaccurate.
Summarized from 21 recent 1-3 star reviews.
루션 - 다이어트&식단/체중/운동기록: frequently asked questions
Is 루션 - 다이어트&식단/체중/운동기록 legit?
루션 - 다이어트&식단/체중/운동기록 is a legitimate app listed on the App Store with a 4.7 star rating from 1,269 ratings. "Legit" and "good for you" are different questions: the 1-3 star reviews below show where real users run into trouble.
Is 루션 - 다이어트&식단/체중/운동기록 safe to download?
루션 - 다이어트&식단/체중/운동기록 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 루션 - 다이어트&식단/체중/운동기록 a scam?
루션 - 다이어트&식단/체중/운동기록 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 루션 - 다이어트&식단/체중/운동기록 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 루션 - 다이어트&식단/체중/운동기록?
For most users, 루션 - 다이어트&식단/체중/운동기록 is a safe choice given its 4.7 star rating. Skim the negative reviews below to check the edge cases (regional limits, payment methods) that the high average hides.