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silly stuff test

silly stuff test

A Roblox experience owned by Curselity.

OtherENexperimentaltestingweapons

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

Experimental game Most of the stuff is not public yet, so badges and other items are pretty questionable. With that said, the three weapons you got at the start will earn you their respective badge upon use. As for others? They're hidden for now, in a place where there's nothing but a testing dummy...

Last updated by the developer 26 Jun 2026, 16:24 UTC.

0
playing (measured 13 Aug 2026, 23:50 UTC)
3,942
lifetime visits
67%
liked (4 👍 / 2 👎)
12
favourites (3.0 per 1k visits)
28 May 2023
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 We do not publish numbers we have not measured.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
13 Aug 2026, 23:500first reading

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

Badge funnel

Duplicate King · other219 · 0.00% win
Abaddon's Favorite · other219 · 0.00% win
The Noblest · other218 · 0.00% win
Freeloader's Lair · other117 · 0.00% win
False World's Delusion · progression111 · 0.00% win
Dreams and lies—are they truly different things? · other30 · 0.00% win
Evildoer · other27 · 0.00% win
Wicked Liberty · progression18 · 0.00% win
Endless Possibilities · secret16 · 0.00% win
Voidgazed · progression15 · 0.00% win
SST's License · progression13 · 0.00% win
Little Devil's Schemes · progression10 · 0.00% win
Abstruse Dilemma · other10 · 0.00% win
Me A'r tia Bodiosma · welcome9 · 0.00% win
Evilweaver? More like Insanity · secret7 · 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.