Is (Not Boring) Habits Legit & Safe?
With 4.8 stars across 5,926 ratings, (Not Boring) Habits 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 Not Boring Software LLC.
What users complain about in (Not Boring) Habits
Users primarily complain about the app's restrictive free version, which only allows tracking one habit without a subscription. Many find the subscription price too high for the features offered, and criticize frequent paywall prompts. Additional issues include UX glitches, confusing navigation, and notifications that don't work reliably.
Summarized from 51 recent 1-3 star reviews.
(Not Boring) Habits: frequently asked questions
Is (Not Boring) Habits legit?
(Not Boring) Habits is a legitimate app listed on the App Store with a 4.8 star rating from 5,926 ratings. "Legit" and "good for you" are different questions: the 1-3 star reviews below show where real users run into trouble.
Is (Not Boring) Habits safe to download?
(Not Boring) Habits 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 (Not Boring) Habits a scam?
(Not Boring) Habits 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 (Not Boring) Habits 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 (Not Boring) Habits?
For most users, (Not Boring) Habits 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.