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SillyLabs Inc.

SillyLabs Inc.

A Roblox experience owned by SillyGames Inc..

Sandbox & buildingENsandboxphysicsvr

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

another stereotypical (why do i use this word a lot) core game that's pretty new and might have some bugs. This game is still in PRE-ALPHA and may contain bugs. update log (v0.4.0) - added a working shrink ray to sector C - added r15 support (however, players can still use r6 if intended) - sillylabs inc. now officially supports VR devices! (yes, i tested the game through the vr emulator and everything worked except the shrink ray buttons but the emulator was garbage anyways) - more lighting changes (all light sources have shadows now) - small map changes to make the map more friendly to people shrunk by the shrink ray intended audience: ages 9+

Last updated by the developer 31 Jul 2026, 16:42 UTC.

0
playing (measured 11 Aug 2026, 09:37 UTC)
921
lifetime visits
80%
liked (12 👍 / 3 👎)
11
favourites (11.9 per 1k visits)
11 August 2022
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 We do not publish numbers we have not measured.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
11 Aug 2026, 09:370first reading

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

Badge funnel

pre-alpha tester · other519 · 0.00% win
too early for the party · other69 · 0.00% win
Manic Meltdown · progression25 · 0.00% win
The good ending...? · progression16 · 0.00% win
Meet the owner · other10 · 0.00% win
The Lazy Ending · secret10 · 0.00% win
The Not-So-Smart ending · progression5 · 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.