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Planet Craft: Terraforming

Planet Craft: Terraforming

A Roblox experience owned by SkeletFish.

SurvivalENspaceterraformingbase building

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

Single-player space survival: turn a dead planet into a living world. Your mission is to transform a hostile desert into a habitable environment by managing oxygen, temperature, and pressure. Explore the land, gather resources, and build your base to start the global terraforming process from scratch. This experience is a fan-port of The Planet Crafter, originally developed by Miju Games. [Q]: Construction [TAB]: Inventory [F]: Flashlight [Mouse Click]: Interaction MINIMUM SYSTEM REQUIREMENTS (FHD+ / ~25-30 FPS / 4 Quality Level): Processor: Qualcomm Snapdragon 680 (or equivalent) Memory: 4-6 GB RAM Graphics: Qualcomm Adreno 610 (or equivalent) Music: Stellardrone - The Belt of Orion, An Ocean of Galaxies License: Creative Commons Attribution 4.0 Tags: Planet Crafter, Subnautica, Space, Survival, Sandbox, Sci-Fi, Base Building

Last updated by the developer 20 Oct 2026, 14:06 UTC.

0
playing (measured 22 Oct 2026, 05:45 UTC)
5,046
lifetime visits
75%
liked (52 👍 / 17 👎)
80
favourites (15.9 per 1k visits)
25 December 2025
created (per Roblox)

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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 We do not publish numbers we have not measured.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
22 Oct 2026, 05:450first reading

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

Badge funnel

First Ore · collection62 · 50.0% win
First Living Compartment · progression27 · 50.0% 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.