Apps Like NBRLY for iPhone and iPad
Ranked alternatives
Showing 121–140 of 1,000 ranked alternatives.


Pearl - See Who's Single
Pearl Tech Inc.
Find students on campus
Find and connect with University of Texas at Austin students looking for relationships. Use AI to match with potential partners based on interests and preferences. View profiles, send messages, and join campus events directly through the .

HIYAK - Video Chat & Live Call
HIYAK Global Limited
Connect via calls and stories
Connect with others via 1-on-1 chats and direct calls. Explore user profiles, set preferences, and tap to match. View and follow stories from creators. and engage with content creators and users worldwide.










Venn – Friends & Activities
Friendr AS
Connect with others through shared interests
Connect with others through shared interests and values. Swipe to explore profiles or remove them. Send messages and share images. Match with users based on preferences and interests. Compare values and preferences to find compatible connections.

Hey! Sathi: Asian Dating
BASNET CONSULTANTS LLC
Connect with others through profiles and messages
Browse user profiles to connect with others interested in cultures. Send and receive messages to initiate conversations. Explore cultural content and join community discussions. Customize profile settings and manage account security features.





Blindlee: Short Video Dates
SNGK Group Ltd
Match, blur, reveal, chat
Users can initiate three-minute video chats with potential matches. Adjust blur levels to control visibility during conversations. View profiles and match with others based on interest. End conversations and receive notifications for new matches.

Noon Happen - Dating App
Proapptiva S.R.L.S
Meet people and discover places based
Connect with others based on shared interests and availability. Set preferences for cuisines and drinks. Find events and places aligned with your choices. Arrange meetups and sync schedules for planned outings.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.