Apps Like Waku for iPhone and iPad
Ranked alternatives
Showing 141–160 of 1,000 ranked alternatives.





Vibes Dating: Meet new friends
Ahiho Pte. Ltd.
Match with others and share your vibe
Create and customize profiles with photos and bios. Connect with users based on shared interests. Chat and message in real-time. Explore matches through interactive quizzes and games. Set preferences for compatibility and activity levels.



TrueVin Elite Christian Dating
Obimy Limited
Connect with faith-driven singles
Connect with faith-driven singles through profile creation and messaging. Filter matches by location, interests, and church affiliation. Access prayer requests and community forums. Share faith-based content and participate in spiritual discussions.







Singles Up App
Singles Up LLC
Connect with others through real-time messaging
Create profiles with personal details and interests. Use smart matching algorithms to find compatible users. Chat in real-time with voice, text, and video. Filter connections by location and preferences. Share updates and photos.

Meet Music: Dating for Spotify
MTM YAZILIM DIJITAL HIZMETLER ANONIM SIRKETI
Find people listening to the same song
Find people listening to the same song via or Shazam. Connect with others through shared music interests. View real-time data on song popularity and user locations. Send and receive messages within the .


True for Two - Serious Dating
TRUE FOR TWO FZ-LLC
Find compatible partners for long-term relationships
Users can create profiles highlighting relationship goals and preferences. They can initiate conversations through in- messaging. Set relationship intentions and filter matches based on compatibility. View profile details and match history.


Ivy Dating
Approach Connections, LLC
Meet people where they are
Connect with others in real-world settings by sharing location-based interest tags. Receive notifications when nearby users are open to meeting. Initiate conversations without swiping or using digital profiles.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.