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QENOX

QENOX

A Roblox experience owned by Kunku Fun.

HorrorENhorrornarrativewatchman

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

As a hard worker, you have taken on the task of finding a new job, which you have found as a watchman in a newly built small commercial plaza called 'Achikus'. Let's hope you get the job on your first shift and that nothing goes wrong. A creation by Kunku Fun. This game is a thrilling journey 'Inspired by a true story'. · Additional Information: · Social Media: (This is our only source of communication) https://www.roblox.com/groups/32623673/Kunku-Fun#!/about · Future Upgrades: Kunku Fun - "We plan to add more history to the game, so don't worry if it feels short at the beginning; multiplayer will also be included." · Important Note: Music is non-copyright.

Last updated by the developer 15 Jun 2025, 21:33 UTC.

0
playing (measured 13 Aug 2026, 08:50 UTC)
342
lifetime visits
83%
liked (10 👍 / 2 👎)
31
favourites (90.6 per 1k visits)
25 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 We do not publish numbers we have not measured.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
13 Aug 2026, 08:500first reading

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

Monetization — game passes

Bottle of water
50 R$
Container
50 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

A new begining · welcome156 · 0.00% win
New member of Achikus · welcome10 · 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.