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Find Animals!🐾

Find Animals!🐾

A Roblox experience owned by PixelBeard Games.

AdventureENscavenger huntanimalsexploration

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

Find Animals🐾 is a fun scavenger hunt experience where you search for animals hiding across different Maps! 🔎 Some animals are easy to spot, while others hide in secret rooms, caves, trees, behind objects, and other tricky places. Complete rounds, earn coins, try different game modes! 🎮 Play different game modes 🪙 Earn coins by finding animals 🌎 Explore unique Maps 🏆 Compete with friends to find the most animals ⭐Don’t forget to LIKE & FAVORITE the game!👍

Last updated by the developer 10 Aug 2026, 13:53 UTC.

0
playing (measured 10 Aug 2026, 15:00 UTC)
1,215
lifetime visits
88%
liked (7 👍 / 1 👎)
33
favourites (27.2 per 1k visits)
3 June 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 We do not publish numbers we have not measured.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
10 Aug 2026, 15:000first reading

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

Monetization — game passes

V.I.P
189 R$
2x Coins
149 R$
2x Luck
129 R$
2nd Pet
92 R$
2nd Effect
86 R$
Color Wheel
79 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

First match · welcome377 · 0.00% win
Met a developer · social134 · 0.00% win
Found 10 animals · collection122 · 0.00% win
Played 5 Matches · other48 · 0.00% win
Found 50 Animals · collection12 · 0.00% win
found 100 Animals · collection4 · 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.