Apps Like Calvin Crush for iPhone and iPad
Calvin Crush screenshots
Ranked alternatives
Showing 181–200 of 1,000 ranked alternatives.





Ama.fan: anonymous questions
Andrey Goglev
Ask anonymously
Ask to friends and receive responses without revealing your identity. Send private messages anonymously to share thoughts, compliments, or confessions. View profiles and interact without disclosing personal information.

Flirt AI Chat Assistant
Sergey Vishnyov
With AI to spark conversations
AI helps users craft responses and generate conversation starters. Offers suggestions for witty remarks and engaging dialogue. Integrates with dating apps to provide real-time support.

Couples Sticker
Daisuke Yokoyama
Share silhouettes, hugs, and kisses with stickers
Create and share stickers featuring silhouettes of in romantic scenes. Include bittersweet moments like kisses and hugs. Customize designs and send them to contacts.






Zaia
Zaia Holdings LLC
Connect with believers across denominations
Create and share content such as posts, photos, and videos. Connect with other users based on Christian beliefs. Join groups by denomination or interest. Participate in discussions and prayer requests. Follow and message other users.


Pick Up Lines: How2Rizz
Nigel Yong Sao Young
Send flirty openers and confident replies
Helps users craft flirty openers, , and confident replies for dating apps like Tinder, Bumble, and Hinge. AI generates personalized messages based on user input and preferences.




Luther's Small Catechism
Concordia Publishing House
Reference the anytime
Access the 1986 version of Luther’s for reading and navigation. View multiple translations. Share content via Twitter, Facebook, and email. Optimized for readability on iOS devices.

Bible Questions & Answers -FAQ
John Bivol
Find answers to Bible questions.
The app provides answers to thousands of Bible questions organized into over 30 categories. Users can search for questions, change font size, and share content via email.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.