Apps Like Rainbow Hamster for iPhone and iPad
Hamster saves the Sun from monsters.
The app follows the adventures of Alex Rainbow, a hamster who must rescue the Sun from monsters. The hamster embarks on a quest to save the Sun after it is captured.
Rainbow Hamster screenshots
Ranked alternatives
Showing 321–340 of 1,000 ranked alternatives.
Fun Fact Valentines
Elliott La Point
Share animated stickers in messages
Add animated stickers to messages. Choose from 23 Valentine’s Day themed stickers. Share stickers with friends. Customize sticker appearance. Send stickers via chat.
Dig Deep - HaFun (free)
7-BRAIN TECHNOLOGY CO., LTD.
Guide hamster dig deep underground.
The app involves guiding a hamster to dig tunnels underground. Players tilt their device to control the hamster's direction, aiming for a high score within a time limit by collecting food and avoiding obstacles.
DIY Snow Cone
光明 代
Create cones and customize flavors
Create cones by selecting cups, shapes, and colorful flavors. Customize with hundreds of decorations across six categories. Combine ingredients for unique creations. Track progress and unlock new items through gameplay.
Monster vs Ball 3D
Free Pixel Games Ltd
Smash monsters with a sticky ball.
The app is an arcade game where users smash Halloween monsters and decors using a sticky roller ball. Players must avoid blackhole bombs and clean platforms to advance to new levels.
Idle Tea Farm Tycoon
Vladislav Rzhevtsev
Grow sprouts, harvest leaves, craft tea
Grow virtual tea plants with one-tap sowing and auto-harvest machines. Upgrade soil, irrigation, and sun trackers to increase yield. Build drying ovens, rolling drums, and fermentation labs to craft green, oolong, black, and matcha teas.
Rainbow Blocks
Nick Lockwood
Clear , score points, level up
Clear the board by removing groups of of the same color. Score points based on the number of removed in each move. Progress further with higher scores. Adjust difficulty settings and track high scores.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.