Railgun Rush
A Roblox experience owned by Muonium.
ShooterENfirst-person shooterfast-pacedbeta testing
Description (written by the developer; not a statement by this register)
[IN DEVELOPMENT, PUBLIC ONLY FOR TESTING AND FEEDBACK] Railgun Rush is a fast-paced first person shooter where you zip around the map at high speeds while carrying heavy ordinance insta-killing railguns. • Unlock new and unique abilities as you rack up kills. • Pickup items from around the map for a quick advantage. • Each map encourages a different playstyle, from open arenas to tight corridors. • Decorate your character as you win each game. • Mobile players are given aim assist. • Private servers are free, but you won't be able to keep anything earned while playing in one. Thank you for joining the test. After playing with a large group of people, fixing critical game-breaking bugs, I'm currently working on the following features to improve the gameplay: • Teams • Gamemodes • Quicker progression • Enough maps for a map and gamemode vote system [Game has just launched in beta] Join the group if you have any suggestions for the game, or if you have found a bug to report.
Last updated by the developer 31 Jan 2025, 05:25 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 We do not publish numbers we have not measured.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 |
|---|---|---|
| 22 Aug 2026, 20:52 | 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.