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Grow A Cute Monster!

Grow A Cute Monster!

A Roblox experience owned by Grow A Monster!.

TycoonENpet collectionidle farmingegg hatching

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

GROW A CUTE MONSTER! and Hatch eggs, grow adorable monsters, and build the cutest monster farm on Roblox! 🥚✨ 🐣 HATCH eggs from the Egg Market to collect 100 cute monsters 🍀 BOOST your luck for rarer pets, giant sizes, and shiny mutations 💰 EARN coins from your monster pens, even while you're offline ⬆️ UPGRADE your farm, incubators, and play pens 🔁 REBIRTH for bigger multipliers and climb the leaderboards 📖 COMPLETE your Monsterdex and discover every species 🎁 DAILY rewards, tasks, and global luck and coin events 👍 Like and ⭐ Favorite for new monsters and updates! 👥 Join the group for free in-game perks! CODES: RELEASE, CUTEMONSTER, SNACKTIME 🎮 Plays great on Mobile, Tablet, and Desktop

Last updated by the developer 3 Oct 2026, 13:17 UTC.

2
playing (measured 8 Oct 2026, 03:00 UTC)
13,059
lifetime visits
82%
liked (61 👍 / 13 👎)
426
favourites (32.6 per 1k visits)
24 September 2026
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 We do not publish numbers we have not measured.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
8 Oct 2026, 03:002first reading

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

Badge funnel

Monster Explorer · collection0 · 0.00% win
Mutation Hunter · collection0 · 0.00% win
Monster Collector · collection0 · 0.00% win
Combo Starter · collection0 · 0.00% win
Mutation Spotter · collection0 · 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.