Showing 1–20 of 1,000 ranked alternatives.
Hanhai Information Technology (Shanghai) Co.Ltd
Explore local businesses and attractions
Local businesses and attractions with user reviews and photos. Search for restaurants, accommodations, and scenic spots. Filter options by cuisine, price, and ratings. Save favorites and receive recommendations based on location and preferences.
PLACES DMCC
Explore food and beverage spots in Dubai
Discover food and beverage spots in Dubai using AI-driven recommendations. Specify cravings or preferences to find ideal locations. Refine search results for precise matches. Get personalized suggestions based on location and preferences.
Carma Productions, Inc.
Find LGBTQ+ welcoming businesses easily.
The app provides a directory of LGBTQ+ friendly businesses, including restaurants, healthcare providers, and service providers. It allows users to find nearby businesses that are verified as safe and respectful spaces for the LGBTQ+ community.
Hulab
Locations, get recommendations, explore new
Locations with one tap and access trusted recommendations from friends, professionals, and influencers. View detailed location info, share spots, and receive real-time suggestions based on your current location.
Raya App Inc
Discover travel destinations
Find and explore handpicked travel destinations by global experts. Discover unique accommodations, local dining spots, and cultural attractions. Receive personalized recommendations based on user preferences and community input.
Abdullah Siddique
Share poop locations and track updates
Access location-based content about unusual . View user-submitted locations with maps and photos. Search for specific spots and share experiences with others. Receive updates and notifications about new content.
Hadar Weitzman Group Inc.
Find date spots from real couples
Track relationship milestones by marking locations on a map. Discover new date spots based on other couples' favorites. Share and revisit significant relationship moments through mapped locations.
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.