Apps Like Sharp Rewards for iPhone and iPad
Sharp Rewards screenshots
Ranked alternatives
Showing 81–100 of 1,000 ranked alternatives.



EVOLVE: Transform Your Life
Matthew Castriotta
Track habits, build progress, stay consistent
Track daily habits and monitor progress with visual rankings and achievement milestones. Complete tasks to earn rewards and boost motivation. Sync data across devices and receive reminders to stay consistent.

Foresters Go
The Independent Order Of Foresters
Earn points for healthy activities
Track health metrics and habits to generate a personalized health score. Set goals for physical activity, diet, and wellness. Earn points for healthy behaviors and redeem them for rewards like gift cards and merchandise.

Cytonn
Cytonn Investments Management, LLC
Invest in money market funds
Manage investments in the Money Market Fund by creating an account, specifying investment amounts, agreeing to terms, entering personal details, and making payments via M-Pesa or bank transfer. View account details and track investment progress.









Physical Therapy: ACL & Knee
Curovate Inc.
Track exercises and recovery progress
Follow structured exercise routines designed by therapists. Track progress with detailed exercise logs and recovery timelines. Receive personalized guidance for ACL surgery, replacement, and osteoarthritis recovery.

LoyLap
Smart Points Ltd
Make payments and earn rewards
Manage loyalty rewards from favorite businesses, make contactless payments, and track points balance. Redeem rewards, view transaction history, and link multiple accounts. Receive notifications for reward expirations and account updates.



HealthSprout
Shanghai Shijing Tongyue Network Technology Co., Ltd
Track steps, grow saplings, earn points
Track steps and activity data from your device. Convert steps into points to nurture virtual saplings. View real-time movement insights and progress toward fitness goals. Sync data across devices and receive weekly activity summaries.


How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.