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Seek the Brainrots [315]

Seek the Brainrots [315]

A Roblox experience owned by Padmati Studios.

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Seek the Brainrots [315] is an obby experience created on 2025-12-28. The game has accumulated 970,081 lifetime visits and 96,129 favorites. Currently, one player is active. The title holds an 83% like percentage. The description indicates players explore a map to collect 315 hidden Brainrots while completing challenges.

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

The Brainrots are hiding all around the world... can you seek them all? 🔍 Explore the map, seek hidden Brainrots, and complete your collection! 🎮 Take on exciting challenges, discover secret locations, and adventure with your friends. 🏆 There are currently 315 Brainrots to collect! Do you have what it takes to find every single one?

Last updated by the developer 16 Jul 2026, 02:38 UTC.

1
playing (measured 11 Aug 2026, 01:32 UTC)
970,081
lifetime visits
83%
liked (398 👍 / 82 👎)
96,129
favourites (99.1 per 1k visits)
28 December 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 We do not publish numbers we have not measured.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
11 Aug 2026, 01:320first reading

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

Monetization — game passes

DONATE ! 😄
100 R$
MAGIC CARPET
99 R$
HALLOWEEN CARPET
50 R$
GRAPPLE HOOK
30 R$
GRAVITY COIL
30 R$
SLAP
20 R$
SPEED COIL
15 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

Welcome0

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.