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A Strange Cleaning Session

A Strange Cleaning Session

A Roblox experience owned by Just My Creations!.

HorrorENhorrorcleaningnarrative

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

🚨WARNING: This experience is not for kids or sensitive or easily disturbed or photosensitive users. If you identify with any of these traits, please do not join the experience. ⚠️ This experience does not have a save system. Make sure you have at least 2 hours available before starting it. 🧽 Welcome to A Strange Cleaning Session! You've finally found a job! Congratulations! Now you can pay your bills. Credits: • Alvertro: Lead Developer. • R - Music in a Letter: Soundtrack (OST) (Pieditini Soon!) • The Krack-en: Partial help with building and testing, among other selfless aids. • iSMaster: SkyTrid Novelita Engine support and improvement. SPECIAL THANKS ALSO TO THE TESTERS: SharkyBro & Krayux Powered with SkyTrid Novelita Engine 1.0 (Modified) All rights reserved. ©

Last updated by the developer 17 Nov 2025, 01:20 UTC.

0
playing (measured 18 Aug 2026, 16:23 UTC)
557
lifetime visits
84%
liked (21 👍 / 4 👎)
40
favourites (71.8 per 1k visits)
1 May 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 We do not publish numbers we have not measured.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
18 Aug 2026, 16:230first reading

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

Badge funnel

Welcome! · welcome192 · 0.00% win
Time for a change! · progression11 · 0.00% win
A coffee for a memory! · progression10 · 0.00% win
Incompletely happy. · progression7 · 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.