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99 nights in Dagestan [SOON]

99 nights in Dagestan [SOON]

A Roblox experience owned by Cosmos X Studio.

HorrorENhorror survivalwave defenseresource gathering

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

Survive 99 nights in Dagestan [Game is around 36% finished, mostly scripts, Its being actively worked on and will arrive in mid-late 2026.] Survive endless nights in the forests of Dagestan where danger grows every cycle. During the day, you prepare, gather resources, and strengthen yourself. At night, hostile creatures hunt in escalating waves that become faster and stronger every few nights. Reach higher nights to test how long you can endure, alone or with others, in a world where each night gets harder than the last. #Dagestan #Khabib #makachev #99nightsinforest #stealabrainrot

Last updated by the developer 16 Aug 2026, 17:40 UTC.

0
playing (measured 27 Aug 2026, 08:36 UTC)
4,409
lifetime visits
73%
liked (24 👍 / 9 👎)
34
favourites (7.7 per 1k visits)
16 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 We do not publish numbers we have not measured.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
27 Aug 2026, 08:360first reading

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

Monetization — game passes

Temporary 20x coins
2,000 R$
4x health permanent
800 R$
2.5x speed boost permanent
400 R$
4x coins permanent
400 R$
trade
37 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

Reached Night 99!! · progression0 · 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.