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Beijing's Swamp DEMO EDITION

Beijing's Swamp DEMO EDITION

A Roblox experience owned by Witchouse Rebel Pact.

OtherENmilitarydemomonster

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

Behold the swamp of a monster, Beijing. Operation Beijing has been known as the biggest threats to Roblox such as people who fall under the plan never escape alive... Message me if you want leaks on the game and I will respond. This is a demo edition, this are subject to change here. The game will come out in 2024. Buy some gamepasses, it helps fund our military and help the game grow. :)

Last updated by the developer 2 Jul 2024, 16:50 UTC.

0
playing (measured 13 Aug 2026, 18:19 UTC)
385
lifetime visits
87%
liked (13 👍 / 2 👎)
9
favourites (23.4 per 1k visits)
6 December 2023
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 We do not publish numbers we have not measured.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, 18:190first reading

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

Monetization — game passes

Donation 5K+
5,000 R$
Donation 3K+
3,000 R$
Donation 2K+
2,000 R$
Donation 1K+
1,000 R$
Donation 500+
500 R$
Nuke Gamepass (MULTIPLAYER)
200 R$
Donation 100+
100 R$
Donation 75+
75 R$
Donation 50+
50 R$
Donation 20+
20 R$
Donation 10+
10 R$
Donations of 2 Y
2 R$
DONATION OF 1 Y
1 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

VICTORY!! (Demo Version) · progression51 · 0.00% win
KABOOM!!!!!! · other3 · 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.