RLT Studios #11412969
Game studiosENSnowpiercerRoleplayWorldbuilding
RLT Studios is a Roblox group categorized as a game studio. It was created on July 9, 2021. The group has 8,456 members. It is not verified and is not ownerless.
Description
RLT Studios is a Roblox development group dedicated to bringing Snowpiercer to life through detailed and immersive experiences. Inspired by humanity surviving aboard a perpetual train crossing a frozen Earth, we recreate its atmosphere, scale and depth with authenticity. Our current focus centers on two major projects. Movie Train Revamp is a detailed reimagining of the iconic train from the 2013 film, designed to capture its structure, environments and spirit with greater realism and ambition. Roscale Revamp is a broader Snowpiercer experience featuring trains from across the franchise, including the film, television series, graphic novels and concept art interpretations. Our vision is to let players explore and drive these legendary trains across a rich and expansive world. At RLT Studios, our goal is to celebrate the Snowpiercer legacy through creativity, worldbuilding and experiences crafted for those who share a passion for the Great Ark.
Written by the group; not a statement by this register.
Membership history
Growth
| Measured (UTC) | Members | Change |
|---|---|---|
| 1 Sept 2026, 00:12 | 8,478 | +1 |
| 31 Aug 2026, 11:21 | 8,477 | +1 |
| 31 Aug 2026, 04:07 | 8,476 | +3 |
| 29 Aug 2026, 15:31 | 8,473 | -1 |
| 29 Aug 2026, 12:20 | 8,474 | +2 |
| 28 Aug 2026, 02:09 | 8,472 | +2 |
| 27 Aug 2026, 19:05 | 8,470 | +1 |
| 27 Aug 2026, 05:36 | 8,469 | +1 |
| 27 Aug 2026, 00:31 | 8,468 | +1 |
| 26 Aug 2026, 14:51 | 8,467 | +1 |
| 26 Aug 2026, 01:30 | 8,466 | +1 |
| 25 Aug 2026, 16:00 | 8,465 | +1 |
| 25 Aug 2026, 11:12 | 8,464 | +1 |
| 25 Aug 2026, 08:20 | 8,463 | +1 |
| 24 Aug 2026, 20:51 | 8,462 | +1 |
| 24 Aug 2026, 01:50 | 8,461 | +1 |
| 23 Aug 2026, 23:51 | 8,460 | +1 |
| 23 Aug 2026, 04:50 | 8,459 | +1 |
| 22 Aug 2026, 23:10 | 8,458 | -1 |
| 22 Aug 2026, 18:06 | 8,459 | first reading |
Ownership
Owned by @TheAvalonTech as measured.
Claimed by user #2205956723 — observed between sweeps, detected 10 Aug 2026, 15:24 UTC
Detection dates bound when a change was seen by this register, not when it happened.
Experiences
Experiences this group owns, by lifetime visits. Live-player counts are from our last measurement.
Members we’ve seen
@TheAvalonTech — Community Owner (rank 255)
Ricky (@Ariel_Esp) — Co-owner (rank 250)
SubLieutenant_Smith (@puggamer9) — Executive Department (rank 235)
RIP_Demu (@demuert0962) — Game Developer (rank 120)
Reverie (@Reverie_Cakes) — Train Security (rank 115)
Diffe (@kotVovan228) — Train Concierge (rank 110)
@H_pyx — Train Investor (rank 100)
The_Investor (@Braeden516) — Train Investor (rank 100)
nico (@steapingtea) — Train Investor (rank 100)
ElGabagool (@MaxHoratio7) — Train Investor (rank 100)
teddy (@AteByTeddy) — First Class (rank 95)
RailfanJedi (@Jedicricket7) — First Class (rank 95)
roman zolanski (@gIacebleu) — First Class (rank 95)
Hex (@Hexarh) — First Class (rank 95) terminated
@RealKieron — First Class (rank 95)
Alessandro_Marchetti (@ThatOneDude10925) — First Class (rank 95)
Legocollector (@Monstertruckfan246) — First Class (rank 95)
Claire (@LilahFolger) — First Class (rank 95)
Eze (@Ezebalsa) — First Class (rank 95)
@r1s_kk — First Class (rank 95)
GuiGui (@roblox79100) — First Class (rank 95)
Frankie (@roseandthetitanic) — First Class (rank 95)
Thunderboy11 (@smeesmack) — First Class (rank 95)
Sean (@Hutchybot5) — First Class (rank 95)
Silas (@NevermindSilas) — First Class (rank 95)
A sample — only members this register has independently measured, highest rank first. Not the full roster.
Rank structure
Roles and per-rank member counts as Roblox reports them (rank 0 = guest … 255 = owner).
Related groups
Groups whose measured members overlap with this one — a sample from our membership graph.
Open data
Download this group’s measured record — free to reuse with attribution: membership history (CSV) · full record (JSON)
Each file carries its licence and retrieval time inside it, and is generated from the same measurements shown above.