The Josh Takeover 3.0 🌐
A Roblox experience owned by Josh Takeover Events.
AdventureENadventuretoken collectionteamwork
Description (written by the developer; not a statement by this register)
Welcome to The Josh Takeover 3.0 Josh and the team have been stranded in The Jungles Of Wookong while the evil Chalkmister is plotting his revenge! It's up to you to collect all 100 Tokens across the 5 Zones to stop the Vortex and Save the Cyberverse! - This is a event of skill and teamwork - cheating, exploiting or hacking can get you BANNED! Good Luck Player! Zones To Explore! - Jungles Of Wookong - Studiopolis - Imagination Institute - Starlight Cove - Discovery Garden Mini Zones To Explore! - Starlight Festival - Shadelight Alleyway - Classic Roblox Vortex Tokens! - Discovery Token - Energy Token - Land Token - Seas Token - Imagination Token INFORMATION ABOUT VORTEX TOKENS - Vortex Tokens are special tokens that are more of a challenge! - Vortex may often take a longer time to find than regular tokens! - The Vortex Tokens still add up to the 100 Tokens - meaning to stop Chalkmister you need them! - Vortex Tokens are scattered across the 5 different Zones!
Last updated by the developer 8 Jun 2025, 09:11 UTC.
Live players over time
Growth
Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.
| Measured (UTC) | Players | Change |
|---|---|---|
| 31 Aug 2026, 05:06 | 0 | first reading |
Concurrent players at each of our measurements (insert-on-change).
Monetization — game passes
Game passes for sale and their prices, measured from the Roblox passes API. Developer products bought inside the game aren’t publicly listable.
Badge funnel
How many players have ever earned each badge — a proxy for how far players get before they stop. Steep drop-offs mark where a game loses people. Win rate is the past-day share of players who earned it; categories are assigned by a language model from each badge’s own name and description.