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Find the Button 2! πŸ”πŸ”΄

Find the Button 2! πŸ”πŸ”΄

A Roblox experience owned by Msp Clothing.

OtherENFind the ButtonClickerProgression

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

✨Welcome to Find the Button 2! βœ¨πŸ” ⭐ Like, Favorite and join this group for a special in game chat tag! ⭐ https://www.roblox.com/groups/11050762/Msp-Clothing Latest Update: Fixed the skip stage button, so it's now added back currently 20 Unique stages including the winner's area 50 likes - 10 more stages 100 likes - 20 more stages 1000 likes - 50 more stages [Tags]: Find the Button, find the markers, press the button, find buttons, find the buttons, Find, Explorers, Obby, Obey, Obi, Obbi, Islands, Worlds, Easy, Hard Mode, Hard, Rainbow, Colorful, Parkour, Parkur, VIP, Morphs, Characters, Free, Gears, Islands, Worlds.

Last updated by the developer 9 Nov 2025, 20:53 UTC.

0
playing (measured 10 Aug 2026, 22:15 UTC)
10,625
lifetime visits
96%
liked (27 πŸ‘ / 1 πŸ‘Ž)
8
favourites (0.8 per 1k visits)
29 October 2024
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 We do not publish numbers we have not measured.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
10 Aug 2026, 22:150first reading

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

Monetization β€” game passes

Gravity coil
50 R$
Speed coil
30 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

Welcome Β· welcome7,810 Β· 0.00% win
Winner Β· progression4,464 Β· 0.00% 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.