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It's New Year's Day, 2319, and the happy denizens of K Station are disappearing one at a time. That's all you know.
You are Maya, a lab assistant and government employee working on K Station. You're hung over from the New Year's Eve party, cranky, street-smart, and a little tired.
Find a way out. Get help. Get to know your colleagues as their lives transform, one missing coworker at a time.
K Station is an adventure game where the world and story are collapsing, room by room and life by life. Discover new lives, new hopes, new dreams and new disappointments -- all from the friends and coworkers you thought you knew.
Logically.
K Station
It's New Year's Day, 2319, and the happy denizens of K Station are disappearing, one at a time. You are Maya, a lab assistant, trying to find a way out as she weaves her way through the altered lives of the friends and colleagues that remain.
Reviews
2
2 user reviews
Positive
100.0%
2 positive
Followers
182
Est. WishlistsestiProxy: followers × 12 (industry heuristic)
2.2K
Est. OwnersestiBoxleiter method: reviews × 32
64
Est. RevenueestiEst. owners × ~62% of list price
$0
Price (US)
Free
Release
Jun 15, 2016
About
> WHAT IS GOING ON?!
It's New Year's Day, 2319, and the happy denizens of K Station are disappearing one at a time. That's all you know.
> WHO AM I?
You are Maya, a lab assistant and government employee working on K Station. You're hung over from the New Year's Eve party, cranky, street-smart, and a little tired.
> WHAT SHOULD I DO??
Find a way out. Get help. Get to know your colleagues as their lives transform, one missing coworker at a time.
K Station is an adventure game where the world and story are collapsing, room by room and life by life. Discover new lives, new hopes, new dreams and new disappointments -- all from the friends and coworkers you thought you knew.
> HOW DOES IT END?
Logically.
★ Reviews
100%
2 user reviews
2 total reviews
2 positive (100.0%)0 negative
Features
Captions availableSingle-playerSteam Cloud
Tags
AdventureCasualIndiePixel Graphics
Developer
Publisher
Estimates — owners use the Boxleiter method (reviews × 32), wishlists proxy followers × 12, revenue uses ~62% of list price × est. owners. These are rough industry heuristics, not official data.
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