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Six Apart: History, Art & Companies
Six Apart Ltd. (6A) is a software company known for creating the Movable Type blogware, TypePad blog hosting service, and Vox (the blogging platform). The company also is the former owner of LiveJournal. Six Apart is headquartered in Tokyo. The name is a reference to the six-day age difference between its formerly married co-founders, Ben and Mena Trott.
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Six Apart topic overview
The analysis highlights History, Art and Companies as prominent areas in the source structure around Six Apart.
Related topics
27
Source areas
2
Connected nodes
29
Extracted relationships
78
Concept neighborhoods
13
Bridge connections
29
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.
History · 19 topics
Overview · 8 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.
Founded
September 2001; 24 years ago (2001-09) in San Francisco, California, U.S. (original) · January 2011; 15 years ago (2011-01) in Tokyo, Japan (current incarnation)
Founders
Benjamin Trott Mena Grabowski Trott
Industry
Software & Programming
Owner
Employee owned (2016–present)
Headquarters
Tokyo, Japan
Key people
Nobuhiro Seki, CEO
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 Six Apart 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 Six Apart shows recurring relationship patterns in the source. For example, Six Apart → Anil Dash, August Capital, Barak Berkowitz, Brad Fitzpatrick, Chris Alden, Danga Interactive, David Hornik, David Marquardt, French, In, In January, In March, Its CEO, Joi Ito, Jun Makihara, June, LiveJournal, Mena Trott, Neoteny Co, Prominent Another extracted example is Six Apart → Adify, Apperceptive, December, It, Just, Leah Culver, Mike Malone, New York, On April, On December, Pownce, The, The Pownce, TypePad, TypePad Conversations. Use these groups to spot repeated connection types before inspecting the individual relationships.
Six Apart
Top relations
related to 2003–2006· 27
Six Apart → Anil Dash, August Capital, Barak Berkowitz, Brad Fitzpatrick, Chris Alden, Danga Interactive, David Hornik, David Marquardt, French, In, In January, In March, Its CEO, Joi Ito, Jun Makihara, June, LiveJournal, Mena Trott, Neoteny Co, Prominent
related to 2008· 15
Six Apart → Adify, Apperceptive, December, It, Just, Leah Culver, Mike Malone, New York, On April, On December, Pownce, The, The Pownce, TypePad, TypePad Conversations
related to 2011· 10
Six Apart → As, CEO, Infocom, Japan, Japanese, Movable Type, Nobuhiro Seki, On January, SAY Media, Tokyo
related to 2007· 8
Six Apart → Barak Berkowitz, Chris Alden, LiveJournal, On December, On September, Russia, Russian, SUP Fabrik
related to 2010· 4
Six Apart → Beginning, On September, September, Vox
Founded· 2
Six Apart → January 2011; 15 years ago (2011-01) in Tokyo, Japan (current incarnation), September 2001; 24 years ago (2001-09) in San Francisco, California, U.S. (original)
Founders· 1
Six Apart → Benjamin Trott Mena Grabowski Trott
Headquarters· 1
Six Apart → Tokyo, Japan
Industry· 1
Six Apart → Software & Programming
Key people· 1
Six Apart → Nobuhiro Seki, CEO
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.
Six Apart relationships Subject–Predicate–Object triples
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 78 structured relationships around Six Apart. Examples in this analysis include Six Apart → Founded → September 2001; 24 years ago (2001-09) in San Francisco, California, U.S. (original) and Six Apart → Founded → January 2011; 15 years ago (2011-01) in Tokyo, Japan (current incarnation). The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Six Apart
Founded
September 2001; 24 years ago (2001-09) in San Francisco, California, U.S. (original)
1.00
infobox
Six Apart
Founded
January 2011; 15 years ago (2011-01) in Tokyo, Japan (current incarnation)
1.00
infobox
Six Apart
Founders
Benjamin Trott Mena Grabowski Trott
1.00
infobox
Six Apart
Headquarters
Tokyo, Japan
1.00
infobox
Six Apart
Industry
Software & Programming
1.00
infobox
Six Apart
Key people
Nobuhiro Seki, CEO
1.00
infobox
Six Apart
Native name
シックス・アパート株式会社
1.00
infobox
Six Apart
Owner
Employee owned (2016–present)
1.00
infobox
Six Apart
Parent
Infocom (Teijin) (2011–2016)
1.00
infobox
Six Apart
Predecessor
"Old" (San Francisco, California-based) Six Apart Ltd. (2001–2011)
1.00
infobox
Six Apart
Products
Movable Type Zenback TypePad
1.00
infobox
Six Apart
Romanized name
Shikkusu Apāto kabushiki gaisha
1.00
infobox
Six Apart
Type
Private KK
1.00
infobox
Six Apart
Website
www.sixapart.com www.sixapart.jp
1.00
infobox
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 Six Apart bring nearby vocabulary together. In this analysis, examples include Six, Announced and Company. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Six Apart
Six
Announced
Company
Media
Blogging
Type
September
Ltd
January
Movable
Software
Tokyo
six apart
Six
Announced
Company
Media
Blogging
Type
September
January
Ltd
Movable
Software
Tokyo
movable type
Type
Became
January
Japan
Typepad
Tokyo
Ben
September
Alden
Ceo
Chris
Executive
ceo
Became
Alden
Chris
General
Japan
Manager
Mena
Owner
President
Trott
Movable
Tokyo
ben
Mena
Trott
Name
Ceo
Japan
Owner
Became
Movable
Tokyo
Typepad
Website
Type
mena trott
Trott
Name
Ceo
Japan
Owner
Became
Movable
Tokyo
Typepad
Website
Type
September
chris alden
Chris
Executive
Ceo
General
Manager
President
Became
Movable
Software
Type
September
Apart
typepad
Ben
Ceo
Japan
Mena
Owner
Pownce
Trott
Became
Tokyo
Vox
Website
September
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 Six Apart, one of the stronger structural bridges in this analysis connects Six Apart with 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.
Six Apart
Nodes30
Edges29
Triples78
Avg. degree1.93
Density0.066667
Components1
Source & methodology
TTTA analyzes the structure around Six Apart to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Art & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
