Dono Park (DONATION GAME)
A Roblox experience owned by LivLavL0v.
Social & hangoutENdonationhangoutbeta
Dono Park (DONATION GAME) is a social-hangout experience created on 2023-05-18. The game has accumulated 1,075,193 lifetime visits and 3,778 favorites. It currently holds a 78% like percentage. The experience is described as being in beta, featuring a donation mechanic where users receive Robux from game or clothing passes. The game is owned by Pinttaa_x, with scripting by deadalready and d5_ax.
Description (written by the developer; not a statement by this register)
still in beta Chill robux donation and hangout game. the robux you receive are REAL and brought from either game or clothing passes that you create. the amount will be less than bought because of roblox taxes but this is standard for all donation games. pending robux from donations takes between 5-7 days to show in your account! you can check your pending here https://www.roblox.com/transactions many more updates to come! join the group for a free plot! https://www.roblox.com/groups/32353885/LivLavL0v created by deadalready - scripter d5_ax - scripter Pinttaa_x - owner/builder thumbnail and screenshot by - avisinist
Last updated by the developer 1 Aug 2026, 06:59 UTC.
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 We do not publish numbers we have not measured.
| Measured (UTC) | Players | Change |
|---|---|---|
| 10 Aug 2026, 19:35 | 0 | first reading |
Concurrent players at each of our measurements (insert-on-change).
Monetization — game passes
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
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.