Apps Like Find. for iPhone and iPad
Ranked alternatives
Showing 121–140 of 1,000 ranked alternatives.
Yumby - Discover Restaurants
Yumby Inc.
Order meals, track orders, share favorites
Create and manage custom restaurant lists by country, city, or cuisine. Add tags and notes for each entry. Share favorite spots with others. Track dining experiences and plan future meals based on saved preferences.
UValues Savings
Peak Advertising Inc.
Find local discounts and rewards
Access local discounts and rewards from neighborhood merchants. View digital coupons and rewards cards. Discover new businesses in University areas. Track rewards and apply discounts at participating locations.
RecSpot - What to Watch or Eat
Recspot Corporation
Find movies, shows, and restaurants
Find movies, TV shows, and restaurants based on user recommendations. Save and organize favorites. Share suggestions with friends. Track to or eat next. Collaborate on curated lists.
Yirental: Apt & home for rent
YiRental Inc.
Long-term and short-term homes
Renters can search for long-term and short-term rentals, filter by price and amenities, save favorites for later access, and contact homeowners directly.
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.
WhatsHere Find Places Nearby
Easy Apps Solutions LLC
Explore , food, save favorites
Explore tourist attractions globally with search by city, name, or map tap. Locate restaurants and cafes. Access recent locations offline. Create a personalized bucket list with custom tags. trending spots or worldwide.
Hope Cafe
Traffick Digital Media, LLC
Order ahead and pick up fast
Pay for purchases in-store or order ahead to skip lines. Customize orders and pick up from nearby locations. Find store locations, view hours, and check amenities before visiting.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.