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Space Teamwork Incremental [Alpha V1.0.1]

Space Teamwork Incremental [Alpha V1.0.1]

A Roblox experience owned by RarityGame's Studio.

SimulatorENincrementalco-opspace

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

Welcome to Space Teamwork Incremental! In this game, you create your team (or join one) and grind throughout the game on the same save slot with up to 4 of your friends. How Teaming works : You make a team PUBLIC and share the team id (which can be found in the team description after you created the team) to your friends. After they joined, you can make it private. If someone who you didn't want to join has joined your team, you can kick them by using team editing in the lobby. This game currently features (Alpha V1) : -2 reset layers -40 total stats (including upgrades and invisible stats) -3 global leaderboards And more! Please be aware that the game is still in Alpha testing Phase and may not be that big content-wise or may include bugs. Inspired by grass cutting incremental.

Last updated by the developer 9 Apr 2026, 16:48 UTC.

0
playing (measured 12 Aug 2026, 11:02 UTC)
1,245
lifetime visits
82%
liked (9 👍 / 2 👎)
9
favourites (7.2 per 1k visits)
27 May 2024
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 We do not publish numbers we have not measured.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
12 Aug 2026, 11:020first reading

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

Badge funnel

Burner Reset · other117 · 0.00% win
Research · other51 · 0.00% win
Electricity · other25 · 0.00% win
Oil · other8 · 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.