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Steam Spy: History, Concept and history & Impact
Steam Spy is a website created by Sergey Galyonkin and launched in April 2015. The site uses an application programming interface (API) to the Steam software distribution service owned by Valve to estimate the number of sales of software titles offered on the service. Estimates are made based on the API polling user profiles from Steam to determine what…
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Steam Spy topic overview
The analysis highlights History, Concept and history and Impact as prominent areas in the source structure around Steam Spy.
Related topics
29
Source areas
3
Connected nodes
32
Extracted relationships
48
Concept neighborhoods
12
Bridge connections
32
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Concept and history · 15 topics
Impact · 10 topics
Overview · 4 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Owner
Sergey Galyonkin
Created by
Sergey Galyonkin
Launched
April 2015; 11 years ago (2015-04)
Type of site
Video game sales tracking
URL
www.steamspy.com
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Steam Spy connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Steam Spy shows recurring relationship patterns in the source. For example, Steam Spy → April, Ars Technica, At, Billboard, Galyonkin, Instead, Kyle Orland, Linux, Microsoft Windows, Nielsen, Normally, OS, Sites, Steam, Steam API, Steam Gauge, The, Though Circana, Tracking, Valve Another extracted example is Steam Spy → An, August, Dave Gilbert, Galyonkin, Gamasutra, However, June, Kerbal Space Program, Latin American, One, Paradox Interactive, Paradox's Shams Jorjani, PCGamesN, Prior, Several, Steam Spy's, Techland, The, Wadjet Eye Games, When Paradox. Use these groups to spot repeated connection types before inspecting the individual relationships.
Steam Spy
Top relations
related to history· 22
Steam Spy → April, Ars Technica, At, Billboard, Galyonkin, Instead, Kyle Orland, Linux, Microsoft Windows, Nielsen, Normally, OS, Sites, Steam, Steam API, Steam Gauge, The, Though Circana, Tracking, Valve
has impact· 20
Steam Spy → An, August, Dave Gilbert, Galyonkin, Gamasutra, However, June, Kerbal Space Program, Latin American, One, Paradox Interactive, Paradox's Shams Jorjani, PCGamesN, Prior, Several, Steam Spy's, Techland, The, Wadjet Eye Games, When Paradox
Created by· 1
Steam Spy → Sergey Galyonkin
Launched· 1
Steam Spy → April 2015; 11 years ago (2015-04)
Owner· 1
Steam Spy → Sergey Galyonkin
Type of site· 1
Steam Spy → Video game sales tracking
URL· 1
Steam Spy → www.steamspy.com
is a· 1
Steam Spy → website created by Sergey Galyonkin and launched in April 2015
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 48 structured relationships around Steam Spy. Examples in this analysis include Steam Spy → Created by → Sergey Galyonkin and Steam Spy → Launched → April 2015; 11 years ago (2015-04). The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Steam Spy
Created by
Sergey Galyonkin
1.00
infobox
Steam Spy
Launched
April 2015; 11 years ago (2015-04)
1.00
infobox
Steam Spy
Owner
Sergey Galyonkin
1.00
infobox
Steam Spy
Type of site
Video game sales tracking
1.00
infobox
Steam Spy
URL
www.steamspy.com
1.00
infobox
Steam Spy
is a
website created by Sergey Galyonkin and launched in April 2015
0.90
text
Steam Spy
has impact
Galyonkin
0.60
section
Steam Spy
has impact
Gamasutra
0.60
section
Steam Spy
has impact
Several
0.60
section
Steam Spy
has impact
PCGamesN
0.60
section
Steam Spy
has impact
Dave Gilbert
0.60
section
Steam Spy
has impact
Wadjet Eye Games
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Steam Spy bring nearby vocabulary together. In this analysis, examples include Steam, Galyonkin and Games. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Steam Spy
Steam
Galyonkin
Games
Data
Developers
Game
Gauge
Plans
Also
Video
Used
Valve
steam spy
Steam
Galyonkin
Games
Data
Used
Developers
Gauge
Game
Plans
Accurate
Also
Video
steam
Games
Data
Developers
Game
Gauge
Plans
Also
Video
Used
Valve
Titles
Numbers
epic games
Sales
Steam
Data
Developers
Valve
Using
Accurate
Time
Polling
Titles
Game
Provide
facebook–cambridge analytica data scandal
Galyonkin
Games
Spy
Steam
Noted
Developers
Sales
Use
Service
Using
Used
Game
general data protection regulation
Galyonkin
Games
Spy
Steam
Noted
Developers
Sales
Use
Service
Using
Used
Game
epic games store
Sales
Steam
Data
Developers
Valve
Using
Accurate
Time
Polling
Titles
Game
Provide
wadjet eye games
Sales
Steam
Data
Developers
Valve
Using
Accurate
Time
Polling
Titles
Game
Provide
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Steam Spy, one of the stronger structural bridges in this analysis connects Steam Spy with Concept and history. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Steam Spy
Nodes33
Edges32
Triples48
Avg. degree1.94
Density0.060606
Components1
Source & methodology
TTTA analyzes the structure around Steam Spy to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Concept and history & Impact, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
