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Don’t Steal the Brainrots 🧠

Don’t Steal the Brainrots 🧠

A Roblox experience owned by lol games...

TycoonENstealthcollectionbrainrot meme

Don’t Steal the Brainrots is a tycoon experience created on September 15, 2025. The game has accumulated 146,939,173 lifetime visits and 5,182,835 favorites. Currently, 1,190 players are active. The title holds a 95% like percentage. Players engage in mechanics involving stealing characters, collecting cash, and upgrading plots.

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

Welcome to Don’t Steal the Brainrots! 🧠 How to Play: • Sneak up and steal Brainrots while they sleep! 😴 • RUN when they wake up and chase you! 🏃 • Take them home and collect tons of cash! 💸 • Upgrade your characters to earn even more! 🔥 • Expand your plot to unlock extra slots! 🏗️ • Trade & gift Brainrots with friends to grow together! 🎁 • But be careful... a sleeping Brainrot can WAKE at any second! 🤫 Remember, your Brainrots earn cash even while you're offline! ⏰ 👍 Like the game & join the group for FREE Cash!

Last updated by the developer 6 Aug 2026, 10:28 UTC.

1,190
playing (measured 10 Aug 2026, 13:52 UTC)
146,939,173
lifetime visits
95%
liked (108,920 👍 / 5,954 👎)
5,182,835
favourites (35.3 per 1k visits)
15 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 We do not publish numbers we have not measured.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, 13:52590first reading

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

Badge funnel

Welcome! · welcome29,868,740

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.