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Tower of Anxiety

Tower of Anxiety

A Roblox experience owned by Seapalm.

ObbyENobstacle coursetower climbtraps

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

Welcome to Tower of Anxiety! You must climb the 6 floors of the tower to succeed in winning it. Be careful, traps are hidden in different places, it's up to you to be the best! 🏁 Who will be on the podium?! ⭐ 16 badges to collect ⭐ Multiple tasks to complete to unlock a checkpoint Tags: Tower, Anxiety, Hell, jump, Sky, Wars, Course, Fun, Trail, Obstacle Course

Last updated by the developer 21 Jul 2024, 10:44 UTC.

0
playing (measured 21 Aug 2026, 21:20 UTC)
220
lifetime visits
67%
liked (4 👍 / 2 👎)
6
favourites (27.3 per 1k visits)
22 January 2024
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 We do not publish numbers we have not measured.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
21 Aug 2026, 21:200first reading

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

Badge funnel

Welcome to Tower Of Anxiety · welcome50 · 0.00% win
First win · progression5 · 0.00% win
First $100 · other5 · 0.00% win
First spin used · progression4 · 0.00% win
First mutator used · other0 · 0.00% win
First gear used · progression0 · 0.00% win
First skip used · other0 · 0.00% win
x100 wins · progression0 · 0.00% win
x1000 wins · progression0 · 0.00% win
First $100.000 · progression0 · 0.00% win
First trail used · progression0 · 0.00% win
First $1.000 · other0 · 0.00% win
First $1 000 000 · progression0 · 0.00% win
x10 wins · progression0 · 0.00% win
First 10.000$ · progression0 · 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.