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Abyssium πŸͺ [Beta]

Abyssium πŸͺ [Beta]

A Roblox experience owned by Nathanux Studio.

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

[the game is currently in beta so if there are bugs it's normal] - The Game - ❗ Experience a guideless adventure every mistake shapes your experience βš”οΈ Explore randomly generated rooms collect items and escape monsters - Warning - 🎧 headphones recommended ⚠️ Risk of epilepsy for those sensitive to flashing lights - Story - πŸ“– You are in the year 2187 You work for Nebularium, aboard the ASYRA-X9 station ⚠️ A critical error has occurred an employee has accidentally released Riftborn, the most dangerous entity ever discovered ❗ Your mission is now clear reach Riftborn’s containment chamber and destroy Singularity-12 to stop the catastrophe But you are not alone - Inspiration - πŸšͺ Doors 🌊 Pressure 🏒 Room 🧱 The Foundation - Platform - πŸ–₯️ Computer πŸ“± Phone / Tablet πŸ‘ If you like the game, don't hesitate to give it a like and join the group!

Last updated by the developer 14 Sept 2026, 03:18 UTC.

0
playing (measured 14 Sept 2026, 19:50 UTC)
571
lifetime visits
78%
liked (7 πŸ‘ / 2 πŸ‘Ž)
8
favourites (14.0 per 1k visits)
27 November 2024
created (per Roblox)

Play on Roblox β†’

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 β€” so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log β€” every players count we have recorded
Measured (UTC)PlayersChange
14 Sept 2026, 19:500first reading

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

Badge funnel

Welcome Β· welcome57 Β· 0.00% win
A real player Β· welcome56 Β· 0.00% win
OMG THE CREATOR Β· other9 Β· 0.00% win

How many players have ever earned each badge β€” 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.