Apps Like Buzz - Make friends for iPhone and iPad
Connect with people through shared interests
Connect with others through interest-based matching in Music, Movies, Food, Gaming, Sports, and Travel. Swipe to meet people nearby or globally. Chat, message, and join groups based on shared interests.
Buzz - Make friends screenshots
Ranked alternatives
Showing 901–920 of 1,000 ranked alternatives.
Happ Core Digital Empathy
KHAPP, OOO
Connect with friends and share moments
Connect with nearby users through geolocation-based chat. Send messages, share photos, and join local events. Customize profile settings and manage notifications. Block or report users as needed.
LocalVibez
Local Vibez LLC
Find events, create hangouts, invite friends
Discover local events and places based on your location. Create and share hangouts with friends. Invite others to join and explore nearby activities together.
SinghCoin
SINGHCOIN LTD
Share posts, messages, and media securely
Share updates and multimedia content with friends. Create and join groups based on shared interests. Earn rewards for posting and engaging with content. Receive notifications for new messages and activity.
MICKEYCART
Danny Oh Software Inc.
Buy and sell items with trusted friends
Buy and sell personal items within a local community network. Create private groups with friends. Set prices, post listings, and complete transactions securely. Message buyers and sellers directly. Track inventory and view sales history.
Diaspora: Connect & Thrive
Sash Solutions LLC
With people from your country
With people from your country of origin to make friends or find romantic interests. Locate traditional food and clothing nearby. Find professionals with cultural backgrounds like lawyers or doctors.
Nightlife AI
Charles-Antoine Poitras
Find bars, clubs, and events nearby
Find nearby bars, clubs, and events tailored to your preferences and location. View top spots ranked by age group. Use AI chat for guidance. Get real-time recommendations as you move.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.