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CASHCLOUT

CASHCLOUT

A Roblox experience owned by CASHCLOUT COMMUNITY.

RoleplayENGTA-InspiredHood/Gang RPFirst-Person Shooter

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

Earn money, gear up, and rise to the top. Team up or go solo, and do whatever it takes to come out on top. Watch your back and take out anyone who tries to stop you. Rule the game or get crushed trying. The choice is yours. Before playing, please read the short tutorial: https://devforum.roblox.com/t/3645374 ⚠️EARLY STAGE OF THE GAME, EXPECT BUGS, EVERYTHING IS SUBJECT TO CHANGE Tags: Hood, Gang, RP, City Life, Street Game, Guns, Boss, First-Person, Third-Person, Fast Cars, Hustle, Rich, Fight, GTA-Inspired, Grind, Roleplay

Last updated by the developer 26 Apr 2026, 20:21 UTC.

0
playing (measured 27 Aug 2026, 08:03 UTC)
1,072
lifetime visits
80%
liked (12 👍 / 3 👎)
40
favourites (37.3 per 1k visits)
17 April 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 We do not publish numbers we have not measured.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, 08:030first reading

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

Monetization — game passes

MORE WEAPONRY
299 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

Pre-Alpha Tester · welcome782 · 0.00% win
Meet the Creator · other25 · 0.00% win
You died! · other24 · 0.00% win
Rob a store · other19 · 0.00% win
Big Thief · progression13 · 0.00% win
Millionare · collection2 · 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.