Apps Like BJPost for iPhone and iPad
BJPost screenshots
Ranked alternatives
Showing 301–320 of 1,000 ranked alternatives.


Vicinity LGBTQ+ Friend Finder
Vicinity LLC
Find friends nearby through shared interests
Find friends locally by exploring a live map of users nearby. Search for people based on interests like gaming, coffee, or fitness. Initiate conversations directly without swiping or matching. Join groups or events based on shared activities.

Sparheel
SPARHEEL LLC
Connect and share financial insights
Connect with others to build financial relationships. Share insights, post updates, and react to community conversations. Find like-minded users, expand connections, and vouch for credibility.



Bridge Social
Bridget Mansour
Connect with others through events and activities
Plan events and RSVP to gatherings. Find new friends or hobbies through shared activities. Stay updated with circle news. Create and manage event invitations. Connect with others based on interests and location.


Strangers App
Sherren Jielita
Meet over meals and connect effortlessly
Find people to meet through shared meals. Set a time, get matched, and connect over food. Chat in real-time during the meal. Share locations and track meeting details. View match profiles and message before meeting. RSVP and confirm attendance.

University Church
University Baptist Church of Jacksonville
Access messages, connect with community, follow teachings
Access messages and content, connect with local and online communities, and engage in prayer groups. Join UGroups for connections, sign up for events and service projects, and find opportunities for individuals and families.

OneMeetUp Dating app:Chat&Date
Shortcut Services Agency LLC
Swipe to match and chat with singles
Swipe to match with other users. Send and receive messages instantly. View profiles and photos of potential matches. Set preferences for location and interests. Block or report inappropriate users. Participate in group chats and events.










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