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Eat Cubes to Grow MASSIVE

A Roblox experience owned by GxP Games.

SimulatorENevolutioniogrowth

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

🔴 Welcome to Eat Cubes to Grow Massive! 🔴 be a Cube and EAT others as you go around! do cube things ig😭 How to Play: 🏃‍ COLLECT Cubes on the Ground 🏃‍ ⚔️ EAT players smaller than you ⚔️ 🏆 BECOME the Strongest in the game 🏆 Collect orbs and defeat weaker players to become the best Cube EVERRRR! 📰 RELEASE : 🔥 LIMITED TIME ITEMS 🏦 MONEY BOOST Premium players get +10% size forever! WARNING: ANY FORM OF EXPLOITING WILL RESULT IN A BAN!

Last updated by the developer 19 Dec 2025, 17:32 UTC.

0
playing (measured 12 Aug 2026, 00:05 UTC)
35,008
lifetime visits
75%
liked (75 👍 / 25 👎)
71
favourites (2.0 per 1k visits)
15 November 2024
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 We do not publish numbers we have not measured.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
12 Aug 2026, 00:050first reading

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

Monetization — game passes

[INFINITY] Black Hole (10X)
2,199 R$
1M Starting Size
1,799 R$
[OP] Neuron Star (5x)
1,199 R$
100k Starting Size
879 R$
VIP Forever
799 R$
Immunity
799 R$
Double Size
399 R$
x2 Cash
399 R$
10k Starting Size
349 R$
Magnet
199 R$
Skip Spin
99 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

You Played! · welcome29,150 · 0.00% win
100K Size! · progression8,446 · 0.00% win
1M Size! · progression1,416 · 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.