Home / Alternatives to Wave - Rideshare Apps Like Wave - Rideshare for iPhone and iPad
by IBN Global Consulting, INC ★ 5.0 10 ratings Travel Free Data updated 2026-09-16
Wave - Rideshare screenshots Ranked alternatives Showing 381–400 of 1,000 ranked alternatives.
Planete Covoiturage inc.
★ 4.0 1 ratings Travel Free Data updated 2026-09-22
Royal Crown Luxury Limousine LLC
★ 5.0 4 ratings Travel Free Data updated 2026-09-06
Nachongo Malambo
★ 0.0 0 ratings Navigation Free Data updated 2026-09-06
Kaptyn, Inc
★ 4.0 6 ratings Travel Free Data updated 2026-09-06
William Nussman
★ 3.7 15 ratings Travel Free Data updated 2026-10-01
Red Ride Incorporated
★ 0.0 0 ratings Travel Free Data updated 2026-09-06
RideShark Corporation
★ 0.0 0 ratings Travel Free Data updated 2026-09-11
sayed basha shaik
★ 0.0 0 ratings Travel Free Data updated 2026-09-06
EMILE SINGLE MEMBER P.C.
Ride scooters and explore cities
Ride dockless electric scooters to navigate cities. Locate and unlock scooters near you. Track distance and speed during rides. Pay for rides through the . Receive real-time navigation and traffic updates. Lock scooters remotely after use.
★ 4.9 18 ratings Travel Free Data updated 2026-09-06
Christopher Matera
★ 0.0 0 ratings Utilities $1.99 Data updated 2026-09-06
Vishal Mehta
★ 0.0 0 ratings Travel Free Data updated 2026-09-06
Luis Villa
★ 0.0 0 ratings Travel Free Data updated 2026-09-06
Yang Gao
★ 5.0 6 ratings Travel Free Data updated 2026-09-06
LE M SOLUTIONS
★ 0.0 0 ratings Travel Free Data updated 2026-09-06
Khaled Mahieddine
★ 5.0 4 ratings Travel Free Data updated 2026-09-06
Jet Wave Innovations LTD
★ 0.0 0 ratings Travel Free Data updated 2026-09-06
Chariot Technologies, Inc.
★ 0.0 0 ratings Travel Free Data updated 2026-09-06
Kuhn Business Group, LLC
★ 0.0 0 ratings Health & Fitness Free Data updated 2026-09-06
MARWANIUM Advanced Technology
★ 4.8 6 ratings Travel Free Data updated 2026-09-06
LUXi Ride, LLC
★ 5.0 2 ratings Travel Free Data updated 2026-09-06
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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