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Revver: History & Products
Revver (originally known as ChangeTv) was an American video sharing website that hosted user-generated content. Until its shutdown in 2011, Revver attached advertising to user-submitted video clips and originally offered to share ad revenue with the video creators. Videos could be displayed, downloaded, and shared across the web in either Apple QuickTime…
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Revver topic overview
The analysis highlights History and Products as prominent areas in the source structure around Revver.
Related topics
25
Source areas
4
Connected nodes
29
Extracted relationships
61
Concept neighborhoods
8
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 · 10 topics
Overview · 7 topics
Revenue model · 5 topics
Criticism · 3 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
May 5, 2005 (2005-05-05)
Headquarters
New York City, New York, U.S.
Area served
Worldwide
Defunct
August 20, 2011 (2011-08-20) (6 years, 3 months and 15 days)
Fate
Shut down
Formerly
ChangeTv
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 Revver 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 Revver shows recurring relationship patterns in the source. For example, Revver → After, Around, Bessemer Venture Partners, CAST, CEO, Coke, Comcast Interactive Capital, Draper Fisher Jurvetson, Draper Richards, Flash, Hearst, Ian Clarke, III, In November, In September, Los Angeles, Mentos, October, Oliver Luckett, Revver's Another extracted example is Revver → But, California, Glasses, In, In February, June, LiveUniverse, Many, On December, Revver's, ScrewAttack, State, Suspended, That Guy, To. Use these groups to spot repeated connection types before inspecting the individual relationships.
Revver
Top relations
related to history· 29
Revver → After, Around, Bessemer Venture Partners, CAST, CEO, Coke, Comcast Interactive Capital, Draper Fisher Jurvetson, Draper Richards, Flash, Hearst, Ian Clarke, III, In November, In September, Los Angeles, Mentos, October, Oliver Luckett, Revver's
related to Criticism· 15
Revver → But, California, Glasses, In, In February, June, LiveUniverse, Many, On December, Revver's, ScrewAttack, State, Suspended, That Guy, To
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 61 structured relationships around Revver. Examples in this analysis include Revver → Area served → Worldwide and Revver → Defunct → August 20, 2011 (2011-08-20) (6 years, 3 months and 15 days). The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Revver
Area served
Worldwide
1.00
infobox
Revver
Defunct
August 20, 2011 (2011-08-20) (6 years, 3 months and 15 days)
1.00
infobox
Revver
Fate
Shut down
1.00
infobox
Revver
Formerly
ChangeTv
1.00
infobox
Revver
Founded
May 5, 2005 (2005-05-05)
1.00
infobox
Revver
Headquarters
New York City, New York, U.S.
1.00
infobox
Revver
Website
www.revver.com
1.00
infobox
Revver
related to Criticism
In February
0.60
section
Revver
related to Criticism
LiveUniverse
0.60
section
Revver
related to Criticism
On December
0.60
section
Revver
related to Criticism
June
0.60
section
Revver
related to Criticism
But
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 Revver bring nearby vocabulary together. In this analysis, examples include Revenue, Video and Creator. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Revver
Revenue
Video
Creator
Liveuniverse
Website
Videos
Advertising
Deal
Ad
Content
Creators
Attached
revver
Revenue
Video
Creator
Liveuniverse
Website
Videos
Advertising
Deal
Ad
Content
Creators
Attached
video sharing website
User-generated
Sharing
Website
Content
Videos
Revenue
Advertising
Displayed
Revtag
Revver
Ad
User
video clips
Revenue
Advertising
Displayed
Revtag
Ad
Web
Creator
Creators
Liveuniverse
Across
Attached
Com
revenue model
City
Creators
Founded
Shut
York
Revver
New
Share
Shared
Users
Video
Creator
user-generated content
User-generated
Website
Advertising
Share
Revenue
Ad
Hosted
Originally
Creator
Deal
Shared
Sharing
apple
Quicktime
Displayed
Shared
Web
Videos
quicktime
Shared
Web
Videos
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 Revver, one of the stronger structural bridges in this analysis connects Revver 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.
Revver
Nodes30
Edges29
Triples61
Avg. degree1.93
Density0.066667
Components1
Source & methodology
TTTA analyzes the structure around Revver to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
