Apps Like Needs Bars for iPhone and iPad
Ranked alternatives
Showing 41–60 of 1,000 ranked alternatives.
The Pao App
Pao App Inc
Find and share hidden gems
Discover and share local attractions like rooftop bars, beaches, and art galleries. Add personal recommendations, view user-generated content, and connect with other users to plan experiences.
ParisBouge
ParisBouge
Find cool things to do Paris
The app provides information on events, restaurants, art, and nightlife in Paris. It includes a guide to selected addresses and a magazine with news about activities.
Stamp Me
Stamp Media Pty Ltd
Collect stamps, earn rewards, track progress
Track loyalty points from partnered businesses. Collect stamps to redeem free rewards. View rewards history and manage multiple loyalty cards. Receive notifications for new stamps and reward availability. Share rewards with friends or businesses.
BarMate - Realtime Cover App!
Himanshu Minocha
Check info and submit updates
Get real-time information for bars in Champaign-Urbana. Submit updates from the line to inform the campus community. View current details and share updates with others.
the ENTERTAINER
THE ENTERTAINER FZ-LLC
Unlock offers and save on experiences
Redeem discounts at restaurants, bars, attractions, spas, salons, retail stores, hotels, and services. Browse and apply buy one get one free offers. Access annual membership benefits in select countries and regions.
Tandem: Match on Dates
Nathan Holdom
Find date spots and restaurants together
Find date spots and restaurants together by swiping through nearby venues. with others when both like the same place. View details and location of each spot. Plan and share recommendations.
Breeze - No Chat, Just Dates
Breeze Social B.V.
Match and plan instant automatically
Schedule instantly after matching without chat. Share availability and let the plan the date and location. Receive daily curated matches at 7 PM based on preferences. Connect with others for real-life meetings without messaging.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.