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Far from Noise
Far from Noise is a narrative set on the edge of a cliff, where two characters discuss what it means to balance between life and death.
Reviews
131
Very Positive
Positive
84.7%
111 positive
Followers
681
Est. WishlistsestiProxy: followers × 12 (industry heuristic)
8.2K
Est. OwnersestiBoxleiter method: reviews × 32
4.2K
Est. RevenueestiEst. owners × ~62% of list price
$20.8K
Price (US)
$7.99
Release
Nov 14, 2017
About
You are balanced on the edge of a cliff in an old rusting car.
The sun is setting behind the horizon and night will soon fall. With no immediate means of escape, perhaps all that's left is to attempt to feel some connection with the world at the end of it all.
Far from Noise is a single-player narrative told through dialogue choices. As day fades to night, experience quiet moments of interaction with a variety of creatures and witness the transformative forces of nature as they happen around you. Through conversation with a welcome companion, begin to discover your reasons for being out there, your relationship with the world, life and death, and if you'll see tomorrow.
The sun is setting behind the horizon and night will soon fall. With no immediate means of escape, perhaps all that's left is to attempt to feel some connection with the world at the end of it all.
Far from Noise is a single-player narrative told through dialogue choices. As day fades to night, experience quiet moments of interaction with a variety of creatures and witness the transformative forces of nature as they happen around you. Through conversation with a welcome companion, begin to discover your reasons for being out there, your relationship with the world, life and death, and if you'll see tomorrow.
Includes
- A dynamic, naturally flowing conversation
- Multiple endings driven by choices that shape the narrative
- An original musical score by Geoff Lentin that flows with the story
- A rich landscape that shifts and fades as time progresses
- Narrative events that change on multiple playthroughs
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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