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R.T.N ACT 3 - LUCID SEA

R.T.N ACT 3 - LUCID SEA

A Roblox experience owned by RENAHYUNJIN.

ObbyENKaizoGlass BridgeHorror

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

' RENA'S TESTING NEXUS ACT 3 - LUCID SEA ' -------------------------------------------------- The game takes place right above the Termination Sea (which used to be River Styx, a gateway to Banland) Falling into the ocean will completely tear you into absolute nothingness, due to most of the Banland residents within the ocean fighting one another for a spot on the surface so they can breathe. Conveniently, a Rift to a different,undisturbed universe opened up. It only allows 1 person though! You could either be the sole escapee from this damned world, or attain ultimate power to save someone else. an INHUMANELY LONG glass bridge game with Kaizo obstacles in it --------------------------------------------------

Last updated by the developer 12 Aug 2026, 13:41 UTC.

0
playing (measured 13 Aug 2026, 20:18 UTC)
589
lifetime visits
61%
liked (17 👍 / 11 👎)
15
favourites (25.5 per 1k visits)
21 August 2021
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 We do not publish numbers we have not measured.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
13 Aug 2026, 20:180first reading

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

Monetization — game passes

Pianos
150 R$
nothing to say
29 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

tree · other0 · 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.