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Giant Machines 2017

Sep 29, 2016 Indie $19.99
Developer Code Horizon Publisher Code Horizon
G
Giant Machines 2017 header

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Indie game Giant Machines 2017 sits in the primary indie category, with no Steam tags listed and an unknown engine. Code Horizon developed and published it in 2016; Steam shows 592 reviews at 70% positive, with an initial price of $19.99.

Overview

Giant Machines 2017 is a 2016 Indie game developed by Code Horizon and published by Code Horizon. On Steam it has gathered 460 player reviews, 70% of them positive, which counts as a mixed-to-positive reception among indie titles in the Indie category. The game is available on linux, mac, windows, and launched at $20. The pairing of developer Code Horizon with publisher Code Horizon is one of the studio-publisher relationships indielist tracks, letting players find comparable games and letting developers and investors study how Indie projects reach the market. indielist's white-box method estimates its lifetime sales at roughly 22,000 to 52,000 units, with the full Boxleiter factor breakdown shown on this page rather than a single black-box figure. Within indielist's catalog of indie games mapped to their studios, publishers, and funding, Giant Machines 2017 can be compared against similar Indie titles and benchmarked on review counts and estimated sales.

Reviews

460

Positive

70%

Steam appid

402750

Engine

Unknown

Players (snapshot)

Unavailable

Sales estimate

v1.0

22K to 52K

units (median: 37K)

≈ $252K to $588K modeled net revenue (fixed store-cut, refund, and regional-price assumptions applied)

22K median 52K
+ How is this calculated?
460 reviews × NB(80) = 36,800 median units
Factor Adjustment
base +50
year_2016 +30
price_$20 0
positive_70% 0
final NB 80

Heuristic display range: median × [0.6, 1.4]. Boundary protection: NB ∈ [15, 150].

Methodology & limitations

Sales estimates use an additive Boxleiter-derived heuristic against public Steam review counts. They are not authoritative sales data, and the fixed display range is not a statistically validated confidence interval. Actual results may fall outside it, especially for deeply discounted or bundle-heavy titles. Algorithm version v1.0. Read the exact method and validation status.

indielist estimates lifetime unit sales for Giant Machines 2017 at roughly 22,000 to 52,000 copies, with a median around 37,000, derived from its 460 Steam reviews using a multi-factor Boxleiter method (version v1.0). That median maps to approximately $420K in net revenue after Steam's 30% cut, regional pricing, and refunds. Unlike black-box trackers, the full calculation is shown on this page: a base review-to-sales multiplier is adjusted for release year, launch price, review sentiment, studio size, and genre, and every adjustment is listed so developers, publishers, and investors can audit exactly how the figure was reached. The range itself reflects genuine uncertainty — review-to-sales ratios vary widely between games — so indielist publishes a low, median, and high band rather than a false-precision single number, and treats free-to-play, heavily discounted, and bundle-distributed titles as having wider error margins still.

Price history

8 observed days · window low $1.19

Across 8 observed UTC days from 2026-07-22 to 2026-09-04, the daily lowest tracked USD price across stores ranged from $1.19 to $19.99. The tracked-window low was $1.19 on 2026-08-14.

$0 $11 $22 07-2207-2408-0708-1408-2809-04 2026-07-22: $19.99 2026-07-24: $1.99 2026-07-31: $19.99 2026-08-07: $19.99 2026-08-14: $1.19 2026-08-21: $1.19 2026-08-28: $1.99 2026-09-04: $1.99 2026-07-22: $19.99 2026-07-24: $1.99 2026-07-31: $19.99 2026-08-07: $19.99 2026-08-14: $1.19 (tracked-window low) 2026-08-21: $1.19 (tracked-window low) 2026-08-28: $1.99 2026-09-04: $1.99 Tracked-window low: $1.19 on 2026-08-14

Real store observations · daily lowest tracked USD price across stores · missing days are not filled.

Where to buy

Affiliate disclosure
  • Steam reference
    $19.99 Buy
  • Fanatical -10%
    $20.92 Buy
  • Green Man Gaming
  • Humble Store
  • GOG.com

Latest tracked store observations (2026-09-04 06:30 UTC), cheapest first. Prices may have changed since observation. Some are affiliate links — we may earn a commission at no extra cost to you. Learn more.

Platforms

linuxmacwindows

Genres

IndieSimulation

Frequently asked questions

How many copies has Giant Machines 2017 sold?
indielist estimates Giant Machines 2017 has sold between 22,080 and 51,520 units (median 36,800), derived from its 460 Steam reviews with the white-box Boxleiter v1.0 method. The full breakdown is shown on the page.
Who developed Giant Machines 2017?
Giant Machines 2017 was developed by Code Horizon and published by Code Horizon.
Who published Giant Machines 2017?
Giant Machines 2017 was published by Code Horizon, developed by Code Horizon. See Code Horizon's full catalogue and submission status on indielist.
When was Giant Machines 2017 released?
Giant Machines 2017 was released in 2016.
How many reviews does Giant Machines 2017 have on Steam?
Giant Machines 2017 has 460 Steam reviews, of which 70% are positive.
Is Giant Machines 2017 worth playing?
Steam players rate Giant Machines 2017 70% positive across 460 reviews. indielist doesn't score games editorially; it surfaces public review sentiment and a white-box sales estimate so you can judge reception and reach yourself.

Ecosystem

Players looking for games like Giant Machines 2017 can compare it on indielist against semantically similar Indie titles such as Stardew Valley, Euro Truck Simulator 2, Project Zomboid, Undertale, ranked by shared tags and genre rather than by ad spend. On the developer side, Code Horizon's other releases and Code Horizon's wider catalog are one click away, letting developers benchmark where Giant Machines 2017 sits among a studio's body of work and how its publisher's portfolio performs. Because indielist maps studios, publishers, games, and funding into one connected graph, the same Giant Machines 2017 page serves three audiences at once: players hunting their next Indie game, developers studying how comparable projects were positioned and what they sold, and investors tracing which teams and labels are active in the space. A machine-readable markdown mirror of this page is published at the same path with a .md suffix for AI assistants, and its review, price, and sales-estimate figures are refreshed on a schedule rather than frozen at launch.

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