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[BOSSES] Brainrot Clicker

[BOSSES] Brainrot Clicker

A Roblox experience owned by Brainrot's STUDIOO.

Clicker & idleENbrainrotclickeridle

[BOSSES] Brainrot Clicker is a clicker-idle experience created on 2025-04-30. The game has accumulated 1,143,365 lifetime visits and 184,496 favorites. It maintains a 96% like percentage. Currently, zero users are playing the experience.

Description (written by the developer; not a statement by this register)

🎉 Welcome to Brainrot Clicker! Click your brainrot to gain clicks, with clicks but PowerUps to get more clicks and be the best 🚀 GAME IS INFINITE GRIND HAVE FUN TAGS : (Ignore) RNG, Every Seconds, Sticker Clicker, Clicker, Simulator, Tapping, Clicking, Idle, Idle Game, Roblox Cookie, Brookhaven, Brainrot Clicker, Brainrot game, Brainrot

Last updated by the developer 1 Feb 2026, 19:28 UTC.

0
playing (measured 10 Aug 2026, 18:04 UTC)
1,143,365
lifetime visits
96%
liked (3,722 👍 / 160 👎)
184,489
favourites (161.4 per 1k visits)
30 April 2025
created (per Roblox)

Play on Roblox →

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 We do not publish numbers we have not measured.

Measurement log — every players count we have recorded
Measured (UTC)PlayersChange
10 Aug 2026, 18:040first reading

Concurrent players at each of our measurements (insert-on-change).

Monetization — game passes

x10 Clicks
149 R$
AutoUpgrade
149 R$
Fast Auto Clicker
99 R$
VIP
99 R$
x2 Clicks
49 R$
Tung Tung Sahur
39 R$
Starter Pack
39 R$

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

Welcome · welcome693,696 · 100.0% win

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.