QUICK UP - Rider app icon

Apps Like QUICK UP - Rider for iPhone and iPad

by QUICK EATS LIMITED★ 0.00 ratingsBusinessFreeData updated 2026-09-06

QUICK UP - Rider screenshots

Ranked alternatives

Showing 101–120 of 1,000 ranked alternatives.

  1. MOOV - Request a ride app icon

    MOOV - Request a ride

    MOOV Enterprises LLC

    Book rides, track drivers, rate trips

    Book rides with real-time tracking and driver details. Pay securely through the . Rate drivers and leave feedback. View trip history and estimated arrival times. Share details with contacts. Receive notifications for status updates.

    ★ 4.723 ratingsTravelFreeData updated 2026-09-06
  2. Fast Rider app icon

    Fast Rider

    FAST LINK FOR ELECTRONIC COMMERCE

    ★ 0.00 ratingsBusinessFreeData updated 2026-09-06
  3. ClusterTruck for Couriers app icon

    ClusterTruck for Couriers

    ClusterTruck LLC

    Manage deliveries, track time, and view earnings

    Manage deliveries, track time, and view earnings. Accept orders, update delivery status, and navigate using in- maps. Receive notifications for new assignments and estimate delivery times.

    ★ 4.05 ratingsBusinessFreeData updated 2026-09-06
  4. Estrella Insurance app icon

    Estrella Insurance

    ESTRELLA INSURANCE INC

    Get quotes, chat, and compare policies

    Get free auto quotes. Compare rates and speak with a personal agent via text or live video. Explore additional coverage options including commercial, workman's comp, boat, motorcycle, and health .

    ★ 4.929 ratingsBusinessFreeData updated 2026-09-06
  5. Hich Rides app icon

    Hich Rides

    Hich Ride Sharing Corporation

    Ride with verified drivers anytime

    Book with verified drivers in Minneapolis and surrounding areas. Choose from multiple vehicle types. No commission fees on . Track ride details and payment history. Share ride information with contacts. Rate drivers and provide feedback.

    ★ 4.431 ratingsTravelFreeData updated 2026-09-06

How we rank alternatives

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