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Tribe Dash - Stone Age Time Management

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Tribe Dash - Stone Age Time Management
Tribe Dash is a Stone Age time management simulator! Hunt, collect resources, and search for treasure on lost islands playing as the leader of a Stone Age tribe in this exciting adventure game!

Game Assets

System Requirements

Windows
Minimum:
  • Requires a 64-bit processor and operating system
  • OS *: Windows 7 or higher
  • Processor: Intel Pentium G5400 / AMD Ryzen 3 2200G
  • Memory: 2 GB RAM
  • Graphics: Intel HD 4000 / Nvidia GeForce 710 / AMD Radeon HD 6450
  • Storage: 250 MB available space
Recommended:
  • Requires a 64-bit processor and operating system
  • OS: Windows 10 or higher
  • Processor: Intel Core i3 / AMD Ryzen 3 or better
  • Memory: 4 GB RAM
  • Graphics: Intel HD 6000 / Nvidia GeForce 720 / AMD Radeon HD 5570
  • Storage: 1 GB available space

About This Game


Experience the life of a tribal leader from the Stone Age! Hunt, collect resources, trade, scare off wild animals, and search for treasure.

Allocate resources
Collect essential resources to clear rubble, defend against tiger attacks, and much more. Trade resources with a merchant at favorable rates and distribute responsibilities among fellow tribesmen.


Explore the area
The game has many exciting levels of varying difficulty. Discover the world of the Stone Age, find food, and defeat enemies as quickly as possible.


Get rewards
Get bonuses for completing levels quickly. Get chests, diamonds, various boosters, and many other rewards when you complete missions!


Take care of the Dinosaur
Feed the cute dinosaur in order to get help and survive in the Stone Age.

Game Details

Product Type
Game
Franchise
Tribe Dash
Release Date
28-09-2023
Developers
Publishers
Recent Reviews
1
All Reviews
Very Positive (125)
User Rating
77.6%
Wishlists
Followers
211
Genres
AdventureCasualStrategyFree to Play
Tags
--
Original Price
Free
Gross Revenue
$199
Units Sold
10.02k
Player Modes
Single-player
Features
In-App Purchases

Game Performance

DLC Performance

AI Review Analysis

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