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EBuddy: History & Companies
eBuddy is a privately held Dutch software company that offers instant messaging services. As of 2011, eBuddy reported 100 million downloads. The company's flagship service is XMS, a proprietary cross-platform instant messaging service. After some changes of ownership, the company is now again owned by its original founders, Onno Bakker and Jan-Joost Rueb.
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EBuddy topic overview
The analysis highlights History and Companies as prominent areas in the source structure around EBuddy.
Related topics
34
Source areas
3
Connected nodes
37
Extracted relationships
58
Concept neighborhoods
21
Bridge connections
37
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 · 13 topics
Services · 12 topics
History · 9 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.
Headquarters
Amsterdam, Netherlands
Available in
Multilingual
Current status
Active
Founder(s)
Paulo Taylor Jan-Joost Rueb Onno Bakker
Launched
2003; 23 years ago (2003)
Registration
Optional
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 EBuddy 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 EBuddy shows recurring relationship patterns in the source. For example, EBuddy → After, Amsterdam, As, Booking, Dutch, European, EverywhereMSN, GREE, His, However, Jan-Joost Rueb, Japanese, Japanese-based GREE, Lowland Capital Partners, Messenger, MSN Messenger, Netherlands, On December, On June, On March Another extracted example is EBuddy → Android, AOL, Best Mobile App, Chat, Facebook Chat, Google Talk, ICQ, In, J2ME, Mashable Awards, MSN, Web, Web-enabled, With, Yahoo Messenger. Use these groups to spot repeated connection types before inspecting the individual relationships.
EBuddy
Top relations
related to history· 33
EBuddy → After, Amsterdam, As, Booking, Dutch, European, EverywhereMSN, GREE, His, However, Jan-Joost Rueb, Japanese, Japanese-based GREE, Lowland Capital Partners, Messenger, MSN Messenger, Netherlands, On December, On June, On March
related to eBuddy Chat· 15
EBuddy → Android, AOL, Best Mobile App, Chat, Facebook Chat, Google Talk, ICQ, In, J2ME, Mashable Awards, MSN, Web, Web-enabled, With, Yahoo Messenger
Available in· 1
EBuddy → Multilingual
Current status· 1
EBuddy → Active
Founder(s)· 1
EBuddy → Paulo Taylor Jan-Joost Rueb Onno Bakker
Headquarters· 1
EBuddy → Amsterdam, Netherlands
Launched· 1
EBuddy → 2003; 23 years ago (2003)
Registration· 1
EBuddy → Optional
Services· 1
EBuddy → Instant messaging
Type of business· 1
EBuddy → Private
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 58 structured relationships around EBuddy. Examples in this analysis include EBuddy → Available in → Multilingual and EBuddy → Current status → Active. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
EBuddy
Available in
Multilingual
1.00
infobox
EBuddy
Current status
Active
1.00
infobox
EBuddy
Founder(s)
Paulo Taylor Jan-Joost Rueb Onno Bakker
1.00
infobox
EBuddy
Headquarters
Amsterdam, Netherlands
1.00
infobox
EBuddy
Launched
2003; 23 years ago (2003)
1.00
infobox
EBuddy
Registration
Optional
1.00
infobox
EBuddy
Services
Instant messaging
1.00
infobox
EBuddy
Type of business
Private
1.00
infobox
EBuddy
URL
www.ebuddy.com
1.00
infobox
EBuddy
is a
privately held Dutch software company that offers instant messaging services
0.90
text
EBuddy
related to eBuddy Chat
Chat
0.60
section
EBuddy
related to eBuddy Chat
Facebook Chat
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 EBuddy bring nearby vocabulary together. In this analysis, examples include Messaging, Instant and Chat. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
EBuddy
Messaging
Instant
Chat
Clients
Received
Com
Xms
Amsterdam
Netherlands
Points
Security
Also
ebuddy
Messaging
Instant
Chat
Clients
Received
Com
Xms
Amsterdam
Netherlands
Points
Security
Also
instant messaging
Messaging
Service
Chat
Clients
Proprietary
Services
Xms
Also
Com
Cross-platform
Mobile
Points
facebook chat
Also
Clients
Instant
Mobile
Taylor
Messaging
Amsterdam
Android
Blackberry
Ios
Messenger
Msn
amsterdam
Netherlands
Com
Security
Bakker
Chat
Gree
Jan-joost
Onno
Proprietary
Rueb
Services
Service
android
Blackberry
Ios
Messenger
Msn
Points
Chat
Clients
One
Series
Mobile
Web
Users
booking.com
Netherlands
Jan-joost
Onno
Rueb
Taylor
Instant
Ebuddy
Dutch
Security
Messaging
Clients
Gree
blackberry messenger
Ios
Msn
Mobile
Messenger
Points
Chat
Clients
One
Series
Web
Users
Instant
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 EBuddy, one of the stronger structural bridges in this analysis connects EBuddy 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.
EBuddy
Nodes38
Edges37
Triples58
Avg. degree1.95
Density0.052632
Components1
Source & methodology
TTTA analyzes the structure around EBuddy 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.
