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Eat a Brainrot

Eat a Brainrot

A Roblox experience owned by Habit Games!.

SimulatorENmemechasegrowth

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

Eat a brainrot... but don't get eaten!😲 Chase and eat brainrots that are smaller than you😋🍽️ Big brainrots will try to eat you 🏃 Grow bigger by collecting brainrots ✨ Stay alive, and catch all the brainrots you can! 🔥 Codes: ❤️ WELCOME 👍 Next code at 1K likes! Love the game? Give us a thumbs up! 👍

Last updated by the developer 7 May 2026, 10:51 UTC.

0
playing (measured 10 Aug 2026, 14:01 UTC)
447,186
lifetime visits
90%
liked (1,156 👍 / 126 👎)
41,714
favourites (93.3 per 1k visits)
23 September 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 We do not publish numbers we have not measured.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, 14:010first reading

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

Monetization — game passes

Admin Panel
1,999 R$
x2 Cash
249 R$
Auto Collect
99 R$
Speed Boost (Run Faster!)
49 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 to Eat a Brainrot! · welcome318,390 · 0.00% win
E · other316,799 · 0.00% win
A · other316,687 · 0.00% win
T · other316,539 · 0.00% win
A · other316,402 · 0.00% win
B · other316,275 · 0.00% win
R316,120 · 0.00% win
A · other315,955 · 0.00% win
I · other315,839 · 0.00% win
N · other315,684 · 0.00% win
R · other315,551 · 0.00% win
O · other315,416 · 0.00% win
T · other315,303 · 0.00% 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.