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Broken memories [MAJOR UPDATE]

Broken memories [MAJOR UPDATE]

A Roblox experience owned by BoneProjects.

HorrorENhorrornightshiftsimulation

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

Welcome to your new job at Nightshift Park... You and your team have been assigned the graveyard shift at a once-thriving amusement park, now left in eerie solitude after hours. Your task? To clean, restore, and maintain the park—but there's something wrong. It’s the dead of night, the park’s strange and unsettling ambiance growing thicker with each passing minute. The lights flicker, shadows stretch unnaturally, and every corner seems to hide secrets… things best left untouched. Join the shift, and be ready for the unknown. Can you make it to morning… or will the park claim you first? Version > 3.0.0 Patch > NR-8 / report lags in group. / ask questions in group > dizzy.

Last updated by the developer 8 Dec 2024, 15:28 UTC.

0
playing (measured 17 Aug 2026, 17:06 UTC)
211
lifetime visits
100%
liked (5 👍 / 0 👎)
3
favourites (14.2 per 1k visits)
11 March 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 We do not publish numbers we have not measured.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
17 Aug 2026, 17:060first reading

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

Monetization — game passes

Food Pack
400 R$
Dooming Donation
100 R$
Donation
10 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

Night 1 done! · progression1 · 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.