From Down Under 🛏️
A Roblox experience owned by The noony group!.
HorrorENhorror survivaldeltarune inspiredjumpscare
Description (written by the developer; not a statement by this register)
⚠️WARNING! THIS GAME HAS JUMPSCARES, LOUD NOISES, AND UNSETTLING AUDIO! From Down Under is a 'horror' survival game (turned kinda goofy when I started messing around), where you must uncover secrets, witness random chaos and ultimately escape a strange house. Can you make it out? Or will you perish to the various snuggly entities lurking inside. 💡Inspired by: Doors, The Intruder, Minutes Remain and... DELTARUNE HEAVY on deltarune (you'll see in the second half.) Keybinds: [M2] Analyze [CTRL] Crouch [M1] Activate Tools [J] Unlock Mouse This game is meant for 1-4 players. (But can max out at 8 in a private server.) 🚨Due to having a very limited dev team (1), there may be some bugs in the game. If you find any report it straight away and I'll try to fix it! 🫥Don’t let death discourage you! Each cycle gives you more knowledge on how to survive the entities. 📸 Max graphics is HEAVILY recommended for an optimal horror experience. Premium players will get 20% more UC!
Last updated by the developer 4 Jul 2026, 22:24 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 We do not publish numbers we have not measured.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 |
|---|---|---|
| 16 Aug 2026, 18:36 | 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.