Apps Like Mattr - Date Different for iPhone and iPad
Ranked alternatives
Showing 301–320 of 1,000 ranked alternatives.


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.





Salgamos: Latino Dating App
OnlyPapis, Inc
Meet new people and chat
Browse personalized profiles and ‘Like’ profiles to connect with others. Chat in real-time via text or voice. Filter matches by location, interests, and language. View profile details including photos and bio. Send and receive messages privately.

Hoppy Dating: Invite Only
Hoppy App Limited
Curate connections and share interests
Users can create profiles, connect with others through shared interests, and engage in conversations. They can friends to join and participate in group activities. The emphasizes community building and mutual trust.

Dataing
Dataing Inc.
Find matches based on personality insights
AI-powered matchmaking analyzes personality traits to suggest compatible matches. Users answer detailed questions to build profiles. The connects users with potential partners based on compatibility scores.







Flirtify AI
Fresh Squeezed Designs LLC
Craft messages, build connections
Craft messages using AI-generated suggestions to start conversations. Offer conversation prompts and response ideas. Track match interactions and suggest follow-up actions. Provide tips for building rapport and planning dates.

Icebreaker: Your AI Wingman
Since Kindly, Inc.
Generate conversations with AI insights
Use AI to generate conversation starters and responses. Suggest topics and replies based on user preferences. Practice dialogue with simulated interactions. Refine communication skills through feedback and tips. Share generated content with contacts.



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