Apps Like Within for iPhone and iPad
Within screenshots
Ranked alternatives
Showing 21–40 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.



SeenU
SeenU Inc.
Meet people nearby and share updates
Find people nearby through real-time location sharing. Add friends from events or locations. Share updates and see who is around. Connect with classmates, neighbors, and friends to build local communities.





Cougar Dating: Age Gap Love
Chengdu Yunshu Chengwei Technology Co., Ltd
Meet, chat, and connect with singles
Connect with other users through profile creation and messaging. Browse and filter potential matches based on location and interests. Send and receive messages, view profile details, and initiate conversations. Set preferences for age and location.

HeyDate: Chat & Dating People
PANJUR BILISIM VE DANISMANLIK HIZMETLERI TICARET A S
, connect, and browse profiles
Match and with users to connect for or friendship. Browse profiles, send messages, and upload photos. Set preferences to find compatible matches. Explore shared interests and locations to meet new .


Snaptown
OneToSocial LLC
Order, earn, and redeem rewards
Browse local business listings, view nearby restaurants and events, and access exclusive offers and rewards. Order online for in-store pickup or delivery. Track personal preferences and receive personalized recommendations.






Savvy Citizen
Management Science Associates, Inc.
Stay informed with local alerts and updates
Receive local event and alert notifications through push, text, or email. Select your community and customize notification preferences. View and manage notifications within the . Stay informed about municipal updates and community happenings.

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