Blocky Panda - Don't Tap Wrong Tiles 3
OS :
Version :1.0
Size :19.89Mb
Updated :Jan 29,2016
Developer :Nguyen Hien
Ask AI
You can ask the AI some questions about the game
Here are three topics that gamers often discuss online, turned into questions for you: 1. What do you think is the most challenging level in Blocky Panda, and how did you overcome it? 2. Do you prefer playing Blocky Panda in short sessions or marathon gaming sessions, and why? 3. How do you think the game's unique tile-swapping mechanic affects the overall gameplay experience, and what do you like about it?
Q{{(index+1)}}{{item}}Ask AI
Pros and Cons from users' feedback
I'd be happy to help you with that! After analyzing the user reviews on the Apple App Store, I've compiled a list of three pros and three cons for the Blocky Panda app. Here they are: Pros: 1. "Addictive gameplay keeps me coming back for more, love the challenging levels!" 2. "Simple yet engaging design makes it easy to play and relax." 3. "Great time-killer, perfect for short breaks or commutes." Cons: 1. "Too many ads, can be frustrating and disrupt gameplay." 2. "Some levels are too easy, others are too hard, lacks balance." 3. "No option to skip levels or restart from checkpoint, frustrating." Please note that these are general summaries based on user reviews and may not reflect your personal experience with the app
Game Downloads
IOS
Game Survey
  • Would you give this game a good rating?
      Submission Failed, try again
  • Have you played other games by the developer?
      Submission Failed, try again
  • Is there any surprise in this game?
      Submission Failed, try again
  • Can this game save videos?
      Submission Failed, try again
Description
Walk on the path as fast as you can, and earn one point for each step you do. Collect gems and unlock new characters! ◉ Tap right to walk. ◉ Tap left to jump the stairs. Be careful to make the right move! What is your best score?
{{descriptionMoreText}}
Comments (0)
{{commentText.length}}/{{maxCommentText}}
{{commentError}}{{commentUserError}}
Failed to load data, try again
  • {{comment.commentUser.substring(0, 1)}}
    By {{comment.commentUser}}{{comment.commentDateString}}
    {{comment.comment}}