DrinkDSD app icon

Apps Like DrinkDSD for iPhone and iPad

Find bars and restaurants in your area

Find bars and restaurants in your area with personalized recommendations based on your preferences. Browse exclusive deals, happy hours, and daily specials. Save money on drinks that match your style and discover new venues.

by Thijs Vermeij★ 5.024 ratingsFood & DrinkFreeData updated 2026-09-06

Ranked alternatives

Showing 801–820 of 1,000 ranked alternatives.

  1. Waitlist: Restaurants Booking app icon

    Waitlist: Restaurants Booking

    Anthony Khalife

    Book tables, manage waitlists, and track arrivals

    Book tables and reserve spots at and bars. Manage reservations, receive reminders, and avoid no-shows. View wait times, select preferred dates and times, and get notifications about availability.

    ★ 5.01 ratingsFood & DrinkFreeData updated 2026-09-06
  2. LIV Card app icon

    LIV Card

    Liverpool BID Company Limited

    ★ 0.00 ratingsLifestyleFreeData updated 2026-09-06
  3. The Gems Mobile App app icon

    The Gems Mobile App

    THE G.E.M.S APP. LLC

    Follow promoters, manage events, view real-time reservations,

    Follow promoters to stay updated on events. Manage event details and view real-time reservations. Access daily deals and perks. Track new events as they are added. Obtain exclusive benefits for registered users.

    ★ 5.01 ratingsEntertainmentFreeData updated 2026-09-06
  4. Cocktail Recipes: Mix & Drink app icon

    Cocktail Recipes: Mix & Drink

    Elsa George

    Craft drinks with your ingredients

    AI-powered assistant suggests recipes based on available ingredients. Users can search for drinks by name or ingredient. Step-by-step mixing instructions are provided. Recipes include measurements and glass types.

    ★ 5.01 ratingsFood & DrinkFreeData updated 2026-09-06
  5. lookfindr app icon

    lookfindr

    Naya Al-Elm Company For Information System Technologies

    ★ 0.00 ratingsLifestyleFreeData updated 2026-09-06

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.