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



Parallel Social
Parallel Communications LLC
Connect with others without data tracking
Share updates, messages, and media with contacts. Search for users and join groups. Customize privacy settings and manage connections. Participate in community discussions and contribute to open-source development.





Meera: Messenger, video calls
MEERA GROUP FZ-LLC
Discover posts, events, and stories on
View location-based posts and Moments directly on a map. Check weather and navigation details. Switch between Social Mode to share live location or Private Mode for personal exploration. Browse photos, blogs, and videos in a continuous Road feed.

Lunchclub: AI Networking App
Elliot Technologies, Inc.
Connect with professionals via video calls
Schedule one-on-one video meetings with curated professionals based on stated goals. Automatically book and manage meetings. Connect with potential investors, mentors, or collaborators through AI-driven matching.

BARO | Borrow & Lend Clothing
TRY BARO INC.
Rent clothes, unused items, find fashion inspiration
Browse and rent designer at fast-fashion prices. unworn items to earn money. Search for fashion inspiration from other users. Communicate securely with users via messages before borrowing or lending. Track rental history and item availability.

Matchmde: Match, Date & Meetup
Luxe Society Group Pte. Ltd.
Find real people, no fake profiles
Create and verify dating profiles to connect with real people. Filter matches by interests and location. Chat securely with verified users. Block or report fake profiles. Receive personalized match suggestions based on AI analysis.





Split.co
Split Technologies, Inc.
Share affiliate links and track clicks
Create and share double-sided affiliate links directly from a mobile browser. Earn cashback while shopping. Track earnings and view link performance metrics. Set up and manage affiliate campaigns.




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