Apps Like The Daily Java for iPhone and iPad
Brew, share, and discover coffee recipes
Discover coffee recipes from around the world. Customize brew methods and ingredients. Save and share favorite blends. Track coffee origins and roast levels. Calculate brewing times and temperatures.
The Daily Java screenshots
Ranked alternatives
Showing 581–600 of 1,000 ranked alternatives.
Secret Menu Drink Only Best
Bugra Baskaya
Order coffee drinks and explore new flavors
Browse coffee recipes and customize drinks with adjustable ingredients. View detailed brewing methods and ingredient lists. Save favorite combinations and share creations with others.
Googan Coffee App
Green Feet Strategies, LLC.
Order and breakfast ahead of time
Order and breakfast items ahead of time. Select a nearby location, customize orders, and schedule pickups. View order status and manage preferences within the .
Scenic City Smoothie
SalesVu
Order drinks and customize your menu
Order smoothies, bowls, coffee, nitro brews, sorbet, frappes, and juices. View daily menu, customize orders, and track nutritional info. Pay with saved cards and receive order updates via push notifications.
CupTaster
Nikita Baranov
Brew coffee and evaluate flavor profiles
Evaluate coffee quality through standardized cupping sessions. Brew coffee using a universal method with ground beans, hot water, and four-minute steeping. Assess aroma, flavor, and acidity. Record notes and compare coffee profiles.
MUGS Coffee Roasters
Espressly, Inc.
Order and earn rewards
Order ahead of time and track rewards points. View menu items with pricing. Redeem rewards for free drinks. Manage order history and update preferences. Receive notifications about new arrivals and promotions.
iCafe UK
5loyalty Ltd
Order coffee, pay, collect, redeem
Order coffee and beverages from participating locations. Pay securely with saved payment methods. Collect loyalty points for purchases and redeem them for discounts. Track order status and view rewards history.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.