
Archived App
This is an archived listing of the app previously available on the App Store.Although the app is no longer distributed by Apple, you can still view its description, screenshots, version history, ratings, and metadata for reference.
About
Discover activities for your free time by swiping through personalized suggestions. Share your favorite finds with friends and on social media using various filters and categories.
What's New in Anydo
1.4
May 17, 2022
– Likes. Now you can delete likes – Explore. New feed with recommended content for you – Categories. New category with meal. – Many small enhancements
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Developer apps
FAQ
What is Any.do?
Any.do is an entertainment app designed to help users discover activities for their free time. It uses a card-swiping interface for personalized suggestions.
How does Any.do suggest activities?
Any.do suggests activities by allowing users to swipe through cards. You can further refine suggestions using different filters and categories to find what you like.
Can I share activities I find with friends using Any.do?
Yes, Any.do allows you to share your discoveries with friends directly and also on social media platforms. This makes it easy to plan activities together.
What devices does Any.do support?
Any.do is currently supported on iPhone and iPod devices. It was released on May 5, 2022, and last updated on May 17, 2022.
What is the age rating for Any.do?
Any.do has an age rating of 12+. This indicates it is suitable for users aged 12 and older.
Is Any.do free to use?
Yes, Any.do is available for free. The app is listed as 'Free' and does not appear to have any associated costs for basic usage.
How often is Any.do updated?
Any.do was last updated on May 17, 2022, with version 1.4. The initial release date was May 5, 2022, suggesting relatively frequent updates shortly after launch.
What do users like about Any.do?
Based on the single rating available, Any.do has received a perfect 5.0 stars. This suggests a highly positive initial user experience, likely due to its intuitive interface and effective activity discovery.



