Facteroids (v220516)

Deep-space industry becomes a spatial puzzle in Facteroids, a factory-building simulation where a lone ship turns barren asteroids and planets into working extraction colonies. The tone is methodical rather than frantic: you arrive on an unwelcoming rock, survey its mineral potential, and gradually replace empty terrain with machinery, transport networks, and living infrastructure. Its central appeal lies in treating each celestial body as a real three-dimensional construction site, so a successful operation must account for height, depth, slopes, and the consequences of digging into the world itself.

Mining starts with automated bots that harvest raw materials, but the real work comes from arranging processing chains that convert those resources into increasingly useful goods. Conveyors move solid cargo, pipes handle fluids, and power lines keep every hungry machine operating; a bottleneck or energy shortfall can stall an otherwise well-planned factory. Excavation physically changes the terrain, leaving cavities where deposits once existed, while added asteroid material allows players to reshape sites and build around difficult geography. Research unlocks further technologies, trade covers shortages when local reserves fail, and colony management adds another responsibility as inhabitants need reliable support systems rather than just profitable production.

What separates Facteroids from flatter, grid-focused automation games is its emphasis on building around and through small planetary bodies instead of spreading across a single endless map. Factories can become layered industrial structures wrapped around an asteroid, with logistics routes crossing awkward surfaces and mines gradually hollowing out the landscape beneath them. Campaign scenarios offer directed objectives for players who want structure, while random worlds and a mission editor support more experimental, long-term builds. Fans of Factorio, Satisfactory, or Dyson Sphere Program who enjoy optimizing supply chains but want a more compact, terrain-aware challenge should find plenty to work with here, though newcomers should expect a learning curve built around planning in three dimensions.