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Hypercart ! [Bêta Test Game]

Hypercart ! [Bêta Test Game]

A Roblox experience owned by !NAMY!.

SimulatorENcart ridevehicle collectionbeta test

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

👋Welcome to Hypercart, the game is in development and here is a public version of the game in development for a taste. 🏎️🛤️Hypercart is a new game based on the concept of cart ride. It is remastered into a version with various cars like city cars to hypercar. It currently totals 12 different cars, (different vehicles will appear during updates such as motorcycles, trucks, unusual vehicles and others). ❗As a reminder the game is in test phase so the vehicles are only arranged but cannot reappear. The goal is to get to the end of the road without falling (a path that will be lengthened as updates are made) and to earn money by driving faster and faster to take risks and buy better vehicles (dealership not available at the moment).⭐ 🛠️Join the group to follow the news and advance the game. Clothing will be available later. https://www.roblox.com/groups/16426493/NAMY#!/about

Last updated by the developer 2 Feb 2026, 12:48 UTC.

0
playing (measured 16 Aug 2026, 17:16 UTC)
528
lifetime visits
80%
liked (4 👍 / 1 👎)
5
favourites (9.5 per 1k visits)
28 January 2023
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 We do not publish numbers we have not measured.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
16 Aug 2026, 17:160first reading

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

Badge funnel

BêtaPlayer · other365 · 0.00% win
NewPlayer · welcome364 · 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.