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Anoma Research

Anoma Research

A Roblox experience owned by Anoma Research.

SimulatorENroboticszombie apocalypsesimulation

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

The Anoma Research Labs is one of the many worldwide locations owned by Anoma Research. This location was built in 1979 and is focused on researching robotics, genetics, and a newly discovered element which can either solve all world problems, or destroy the entire planet fourteen times over. Explore and interact with the various machines, discover new worlds hidden by astronomical distances, program your own robot, solve constant events, defend the facility, or be patient zero of a zombie apocalypse! Version 0.1 - Reactor Core! Blow it up, freeze it, see what happens! - Overhauled the lighting in some rooms a bit - Bug Fixes - Main Menu Redo Credits - Human - Head Developer - TheNerdyDev - Developer, CFO - Gug - Modeler - JJGeneral - Developer - M0yG00fy - Composer

Last updated by the developer 8 Dec 2025, 03:25 UTC.

0
playing (measured 20 Aug 2026, 16:49 UTC)
796
lifetime visits
80%
liked (4 👍 / 1 👎)
20
favourites (25.1 per 1k visits)
23 December 2023
created (per Roblox)

Play on Roblox →

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 We do not publish numbers we have not measured.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
20 Aug 2026, 16:490first reading

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

Monetization — game passes

Forklift
30 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

Welcome to the labs! · welcome135 · 0.00% win
Catastrophic Incompetence · other9 · 0.00% win
Profound Incompetence · other8 · 0.00% win
Escaped The Flames · progression8 · 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.