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πŸ₯š GREEDY EGGS!

πŸ₯š GREEDY EGGS!

A Roblox experience owned by Oops Dept..

SimulatorENegg collectingpet hatchingzone progression

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

πŸ₯š Welcome to GREEDY EGGS! Run through different zones, grab rare eggs, and make it back before the monsters catch you! ⚑ Grow your eggs to boost your luck... but don't get too greedy or they'll CRACK! πŸ‰ Hatch crazy pets and earn tons of cash! πŸ‘Ÿ Train your speed to reach better zones! 🏏 Smack other players and steal their eggs! ✨ Discover rare mutations, secret pets, and special events! πŸ’° Collect, hatch, upgrade, repeat! πŸ‘₯ Play with friends for bonus cash! πŸ‘ Like and favorite for more updates!

Last updated by the developer 2 Nov 2026, 17:19 UTC.

3
playing (measured 4 Nov 2026, 01:00 UTC)
1,905
lifetime visits
85%
liked (11 πŸ‘ / 2 πŸ‘Ž)
173
favourites (90.8 per 1k visits)
23 October 2026
created (per Roblox)

Play on Roblox β†’

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 β€” so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log β€” every players count we have recorded
Measured (UTC)PlayersChange
4 Nov 2026, 01:003first reading

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

Monetization β€” game passes

2x Growth
399 R$
2x Cash
199 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

Void Runner Β· collection23 Β· 7.3% win
x100,000 Β· collection12 Β· 0.00% win
Secret Hatch Β· collection7 Β· 0.60% win
Maxed Treadmill Β· progression4 Β· 0.60% win
Rainbow Void Β· progression2 Β· 1.1% win

How many players have ever earned each badge β€” 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.