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HackMaster: History & Companies
HackMaster is a fantasy role-playing game produced by Kenzer & Company. It began as a fictional game, a parody of Dungeons & Dragons played by the characters of the Knights of the Dinner Table comic strip by Jolly R. Blackburn. The characters in the comic began playing fictional HackMaster 3rd Edition, which was updated and published in 2001 as a…
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HackMaster topic overview
The analysis highlights History and Companies as prominent areas in the source structure around HackMaster.
Related topics
20
Source areas
3
Connected nodes
23
Extracted relationships
48
Related term clusters
16
Bridge connections
23
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.
Overview · 8 topics
Publication history · 8 topics
Setting · 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.
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.
You can skip this section if you’re here for content ideas and keyword inspiration.
Advanced semantic analysis
How HackMaster 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 HackMaster shows recurring relationship patterns in the source. For example, HackMaster → Aldrazar, Arctic Circle, Developers, Dinner Table, Garweeze Wurld, Garweeze Wurld Atlas, Garweeze Wurld Gazetteer, Gary Gygax, Gary Jackson, HM, Jolly Blackburn, Kalamar, Kenzerco, Kenzerco's, Kingdoms, Knights, KoK, Steve Jackson, Steve Jackson Games Another extracted example is HackMaster → Advanced Dungeons, Beasts, C's, Coast, Company, Dinner Table, Dragon Magazine Archive, Dragons, Dungeons, Edition, HackMaster Field Manual, Kenzer, Knights, Monster Manual, Since, The Hacklopedia, Wizards. Use these groups to spot repeated connection types before inspecting the individual relationships.
HackMaster
Top relations
related to Setting· 19
HackMaster → Aldrazar, Arctic Circle, Developers, Dinner Table, Garweeze Wurld, Garweeze Wurld Atlas, Garweeze Wurld Gazetteer, Gary Gygax, Gary Jackson, HM, Jolly Blackburn, Kalamar, Kenzerco, Kenzerco's, Kingdoms, Knights, KoK, Steve Jackson, Steve Jackson Games
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 HackMaster. Examples in this analysis include HackMaster → Designers → Jolly R. Blackburn, David Kenzer, et al. and HackMaster → Genres → fantasy. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
HackMaster
Designers
Jolly R. Blackburn, David Kenzer, et al.
1.00
infobox
HackMaster
Genres
fantasy
1.00
infobox
HackMaster
Publication
2001 (4th Edition)
1.00
infobox
HackMaster
Publication
2009 (Basic)
1.00
infobox
HackMaster
Publication
2011 (5th Edition)
1.00
infobox
HackMaster
Publishers
Kenzer & Company
1.00
infobox
HackMaster
Systems
Custom, derived from AD&D system
1.00
infobox
HackMaster
is a
fantasy role-playing game produced by Kenzer
0.90
text
the Knights of the Dinner Table comic in the electronic media archive
instance of
In 1999 the Dragon Magazine Archive software was published where Wizards of the Coast failed to get permission to reprint many of the original articles
0.80
text
1st Edition Unearthed Arcana
instance of
including various supplements
0.80
text
Oriental Adventures
instance of
including various supplements
0.80
text
the mid-1990s Skills
instance of
including various supplements
0.80
text
No triples extracted yet.
Related concept clusters Related term clusters
Related term clusters 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 HackMaster bring nearby vocabulary together. In this analysis, examples include Edition, 4th and Basic. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
role-playing game
5th
Supplements
Edition
Hackmaster
Role-playing
Strip
Company
Dragons
Dungeons
Kenzer
System
Dinner
game mechanics
5th
Publication
Edition
Hackmaster
Role-playing
Strip
Basic
Company
Parody
Setting
Dragons
Dungeons
dungeons & dragons
Dragons
Dungeons
Strip
Basic
Dinner
Knights
Table
Comic
Fantasy
Characters
Jolly
Publication
knights of the dinner table
Knights
Table
Comic
Strip
Dragons
Dungeons
Fictional
Parody
Fantasy
Game
Jolly
Publication
advanced dungeons & dragons
Dragons
Dungeons
Strip
Basic
Dinner
Knights
Table
Comic
Fantasy
Characters
Jolly
Publication
HackMaster
Edition
4th
Basic
Game
Official
Publication
Dragons
Dungeons
Fictional
Garweeze
Setting
Wurld
hackmaster
Edition
4th
Basic
Game
Official
Publication
Dragons
Dungeons
Fictional
Garweeze
Setting
Wurld
kenzer & company
Kenzer
Fantasy
System
Role-playing
Strip
Publication
Supplements
Various
Adventures
Blackburn
Coast
Dragons
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 HackMaster, one of the stronger structural bridges in this analysis connects HackMaster with Overview. 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.
HackMaster
Nodes24
Edges23
Triples48
Avg. degree1.92
Density0.083333
Components1
Source & methodology
TTTA analyzes the structure around HackMaster to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
