Apps Like Cherrish for iPhone and iPad
Ranked alternatives
Showing 461–480 of 1,000 ranked alternatives.


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 .

DailyFunder
Raharney Capital, LLC
Connect with finance professionals daily.
The app connects users with the DailyFunder small business finance community. It allows users to collaborate, network, and access discussions and articles.



INNI
Dimensional Interactive Inc.
Understand people and yourself
Offers a psychometric assessment to generate detailed profiles on personality, values, cognition styles, love attitudes, conflict styles, and lifestyle patterns.

AnonTalk
Bro.
Connect with new people instantly
Find and chat with new users in real time. Send and receive messages, make video calls, and use a matching system to connect with potential partners. Set preferences and receive suggestions based on interests and location.



Alma: Jewish Dating
ESHET HAIL LTD
Connect with singles securely
Connect with singles through profile creation and messaging. Filter matches by location and interests. View profile details and send messages. Report inappropriate behavior and block users.



ManTalks
ManTalks LLC
Learn skills, connect with men, grow stronger
Access learning modules to develop self-leadership skills. Engage with a community for support and discussion. Participate in live calls for guidance. Receive resources to address fears and challenges.



Intro - Queer Desi Dating
Find MY Partner Inc
Meet new people and connect with others
Lifestyle for LGBTQ South Asians. Create identity-affirming profiles with custom filters. Browse all users on an Explore feed without swiping or disappearing profiles. Connect with others in the LGBTQ South Asian community.




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