Apps Like DivMate for iPhone and iPad
DivMate screenshots
Ranked alternatives
Showing 1–20 of 1,000 ranked alternatives.



CSL: Casual Dating App
Joyride GmbH
Connect with others privately and authentically
Find compatible partners through interest-based matching. Set preferences for location, activities, and relationship goals. Communicate via encrypted messages and video calls. Customize privacy settings and control who can contact you.


Mingle2 - Dating & Meet People
NextC LLC
Connect with others and chat instantly
Find nearby to chat or connect. Send messages, join groups, and participate in events. Filter profiles by interests and location. View user profiles and initiate conversations. Share photos and update status.







Muzz: Where Muslims Marry
MUZZ LTD
Connect with for marriage or friendship
Connect with for marriage or friendship. Browse profiles, send messages, and filter by location, age, and interests. Join groups, post updates, and attend events. Access Quranic content and prayer reminders.

Upward Dating: Meet Singles
Affinity Apps, LLC
Connect with singles to build meaningful relationships
Connect with singles to build meaningful relationships. Search for matches based on beliefs, values, and interests. Send messages, view profiles, and participate in faith-based discussions. Share photos and join community events.

HUD™ Bedroom Dating App
HUD STUDIO LIMITED
Meet and connect with singles worldwide
Connect with other users through profiles and messages. Browse potential matches based on interests and location. Set preferences for relationship goals and communication styles. Receive notifications for new messages and activity.




Match Dating App : Chat & Meet
Match Group Americas, LLC
Connect with others authentically
Connect with potential matches by swiping right or left. Send messages to start conversations. Filter profiles by location, interests, and relationship goals. View profile details including photos and bio. Set preferences for criteria.


How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.