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[๐ŸŒŒ] Long Jump For Brainrots

[๐ŸŒŒ] Long Jump For Brainrots

A Roblox experience owned by Fruli Frula Studio.

ObbyENjump mechanicbase buildingmeme culture

[๐ŸŒŒ] Long Jump For Brainrots is an obby experience created on 2026-03-28. It has accumulated 5,922,220 lifetime visits and currently has 70 players online. The game holds 32,478 favorites and maintains a 96% like percentage.

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

Welcome to Long Jump for Brainrots! โœจJump up and grab brainrots that spawn! ๐Ÿ’ธBring them back to your base to earn cash! ๐Ÿ”‹Upgrade your jump power to jump even higher! ๐Ÿ—๏ธUpgrade your base for even more slots! Remember to like & favourite the game for updates! ๐Ÿ‘โญ

Last updated by the developer 27 Jul 2026, 11:06 UTC.

70
playing (measured 10 Aug 2026, 15:30 UTC)
5,922,220
lifetime visits
96%
liked (16,649 ๐Ÿ‘ / 746 ๐Ÿ‘Ž)
32,478
favourites (5.5 per 1k visits)
28 March 2026
created (per Roblox)

Play on Roblox โ†’

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 We do not publish numbers we have not measured.

Measurement log โ€” every players count we have recorded
Measured (UTC)PlayersChange
10 Aug 2026, 15:3061first reading

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

Monetization โ€” game passes

VIP
199 R$
2x Speed
79 R$
2x Money
39 R$
Collect All
19 R$

Game passes for sale and their prices, measured from the Roblox passes API. Developer products bought inside the game arenโ€™t publicly listable.

Badge funnel

Welcome ยท welcome1,585,485
Collect All Lava Brainrot3
Collect All Normal Brainrot2
Collect All Golden Brainrot2
Collect All Diamond Brainrot0

How many players have ever earned each badge โ€” 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 badgeโ€™s own name and description.