Apps Like Recommends.app for iPhone and iPad
Ranked alternatives
Showing 261–280 of 1,000 ranked alternatives.


Wine.Dine.Classic
Friendly Robots, LLC
Discover wines, learn about them, taste them
Discover wine recommendations tailored to your preferences using AI. View detailed tasting notes and learn about wine regions and varietals. Track your wine collection and set reminders for tastings. Share wine pairings with friends.

Texas Monthly BBQ Finder
Texas Monthly
Find BBQ joints and read reviews
Discover BBQ joints with expert reviews and ratings. View the Top 50 list and stamp locations on a map. Leave ratings and write reviews as a TM BBQ Club member. Access cue news and read detailed restaurant profiles.

The Happiest Hour
The Happiest Hour Pty Ltd
Order drinks and find happy spots
Find local pubs and happy spots with real-time availability and pricing. Search by location or mood. View menus, drink selections, and customer reviews. Reserve tables or order delivery. Track favorite spots and receive weekly recommendations.








dipt - The Ice Cream Network
DIPT LLC
Explore ice flavors and brands
Rate and review ice flavors, brands, and local parlors. Search for nearby ice shops and read user recommendations. Save favorite flavors and track personal preferences. Share experiences with friends and view community ratings.


Lessing's Loyalty
Lessing's, Inc.
Earn perks, unlock offers, and redeem rewards
Earn rewards for dining, unlock exclusive offers, and receive surprise mystery boxes with savings and treats. Access VIP benefits and birthday perks. Redeem points for discounts and complimentary desserts. Track progress across 13 restaurants.





Ordermentum
Ordermentum Pty Ltd
Order supplies and connect with suppliers
Manage orders and payments from any device. Browse and purchase products from over 900 suppliers. Re-order frequently used items quickly. Track inventory and receive supplier updates. Save time by consolidating order management in one platform.

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