Click For Brainrot
A Roblox experience owned by Ro-Game Studio.
Clicker & idleENmemeclickerpet collection
Click For Brainrot is a clicker-idle Roblox experience created on May 25, 2025. The game has accumulated 1,180,932 lifetime visits and 125,551 favorites. It maintains a 96% like percentage. Currently, zero players are active. The title features mechanics involving cash earning, pet acquisition, and zone unlocking, with recent updates adding ember and crimson zones.
Description (written by the developer; not a statement by this register)
Click For Brainrot! -UPDATE 4 -New zones ember, and crimson -new eggs -Ascend system in the works 🖱️ Click anywhere on screen to earn Cash!🖱️ 🔥Cheap gamepasses!🔥 🍀 Buy Pets and get awesome brainrots!🍀 ✨ Unlock new zones to get better pets!✨ 💾 Your data saves! Come back for more!💾 😊 Like for updates and join the group for more!😊 ⚠️ Report bugs/make suggestions in the group⚠️ tags (ignore) : clicker,click for brainrot,italian brainrot,survive brainrot,clicker games,steal a brainrot,brainrot evolution,brainrot games,meme,tung tung sahur,bombardiro,chimpanzini,steal a garden,brainrot guess,guess the brainrot,
Last updated by the developer 15 Aug 2025, 02:30 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 We do not publish numbers we have not measured.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 |
|---|---|---|
| 10 Aug 2026, 17:33 | 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.