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PM 6:06 : Hour of Dawn

PM 6:06 : Hour of Dawn

A Roblox experience owned by TRUE INSANITY Foundation.

HorrorENfangamehorrorexploration

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

A PM 6:06 Fangame with several sublevels and a ton of content to try out. Explore as much sublevels as you can, or replay the completed sublevels. Please do note that the game is still in alpha state. Any bug/exploiter report should be immiedately reported to the game's community server. Same goes for feedback.

Last updated by the developer 31 May 2026, 07:57 UTC.

0
playing (measured 14 Aug 2026, 18:32 UTC)
1,971
lifetime visits
60%
liked (9 👍 / 6 👎)
23
favourites (11.7 per 1k visits)
11 August 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 We do not publish numbers we have not measured.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
14 Aug 2026, 18:320first reading

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

Badge funnel

BETA TESTER · other432 · 0.00% win
THE TUTORIAL · welcome132 · 0.00% win
ALPHA TESTER · welcome126 · 0.00% win
THE DARKNESS · other55 · 0.00% win
THE ASCENSION · progression32 · 0.00% win
THE FROST · progression21 · 0.00% win
THE WORKSHOP · progression11 · 0.00% win
THE GATE OF A WINNER · progression10 · 0.00% win
SPARE THE SYMPATHY · progression4 · 0.00% win
A SPACE ODYSSEY · progression0 · 0.00% win
AN INFINITE COSMOS, UNEXPLORED · progression0 · 0.00% win
THE MAINFRAME VOL. 2 · progression0 · 0.00% win
THE MAINFRAME · secret0 · 0.00% win
THE DESERT · other0 · 0.00% win
DIGITALIZED · secret0 · 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.