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Deadly Thai Tuk Tuk Driving [Alpha]

Deadly Thai Tuk Tuk Driving [Alpha]

A Roblox experience owned by 4-.

RacingENdrivingthailandalpha

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

Step into the driver's seat of a tuk tuk and navigate the unpredictable roads of Thailand. From narrow city streets to rural paths full of hazards, every drive is a test of skill and reflexes. This is the alpha version, focused on core driving and environment mechanics. Expect bugs and unfinished features — your feedback is appreciated. 🔧 Current Features: Early access to tuk tuk driving gameplay Challenging, obstacle-filled maps Preview of upcoming systems 🚧 In Development: Baht currency system Vehicle shop and multiple tuk tuks Missions,, and more content Thanks for playing and supporting early development.

Last updated by the developer 6 Dec 2025, 11:50 UTC.

0
playing (measured 10 Aug 2026, 23:46 UTC)
587
lifetime visits
100%
liked (2 👍 / 0 👎)
2
favourites (3.4 per 1k visits)
6 June 2025
created (per Roblox)

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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 We do not publish numbers we have not measured.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
10 Aug 2026, 23:460first reading

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

Monetization — game passes

Admin Commands
10,000 R$
VIP
400 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

Meet asrand · other11 · 0.00% win
Meet The Owner · social11 · 0.00% win
Meet Nampu Ling Ling · social8 · 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.