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StumbleUpon: History, Measurement & Companies
StumbleUpon was a website, browser extension, toolbar, and mobile app with a "Stumble!" button that, when pushed, opened a semi-random website or video that matched the user's interests, similar to a random web search engine. Users were able to filter results by type of content and were able to discuss such webpages via virtual communities and to rate…
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StumbleUpon topic overview
The analysis highlights History, Measurement and Companies as prominent areas in the source structure around StumbleUpon.
Related topics
40
Source areas
2
Connected nodes
42
Extracted relationships
102
Concept neighborhoods
12
Bridge connections
42
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 · 35 topics
Overview · 5 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
November 2001; 24 years ago (2001-11)
Headquarters
San Francisco, California, United States
Available in
English
Content license
Proprietary freeware
Current status
Defunct
Dissolved
June 30, 2018; 8 years ago (2018-06-30)
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 StumbleUpon 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 StumbleUpon shows recurring relationship patterns in the source. For example, StumbleUpon → Brad O'Neill, Calgary, Camp, Camp's, Eric Boyd, February, First Round Capital, Garrett Camp, Geoff Smith, Google, However, In February, In September, Justin LaFrance, Market, Mitch Kapor, Mozilla Foundation, November, Ram Shriram, Ron Conway Another extracted example is StumbleUpon → Ajax, CollegeHumor, Dailymotion, FunnyOrDie, Google, MetaCafe, MySpace, On December, On February, StumbleVideo, The, Vimeo, Wii, Wii's Opera, YouTube. Use these groups to spot repeated connection types before inspecting the individual relationships.
StumbleUpon
Top relations
related to Founders and funding· 26
StumbleUpon → Brad O'Neill, Calgary, Camp, Camp's, Eric Boyd, February, First Round Capital, Garrett Camp, Geoff Smith, Google, However, In February, In September, Justin LaFrance, Market, Mitch Kapor, Mozilla Foundation, November, Ram Shriram, Ron Conway
related to Product development· 15
StumbleUpon → Ajax, CollegeHumor, Dailymotion, FunnyOrDie, Google, MetaCafe, MySpace, On December, On February, StumbleVideo, The, Vimeo, Wii, Wii's Opera, YouTube
related to Buyout and peak popularity· 13
StumbleUpon → Digg, Facebook, Garrett Camp, Geoff Smith, In, In April, Inc, Pinterest, Ram Shriram, Reddit, Twitter, US, YouTube
related to eBay ownership· 13
StumbleUpon → At, Facebook, In, In April, In July, In March, May, Michael Buhr, Su, The, Time, Twitter, URL
related to Decline· 6
StumbleUpon → December, Greg Isenberg, In July, On January, On September, The
related to Closure· 4
StumbleUpon → Camp's, Expa, June, Mix
Available in· 1
StumbleUpon → English
Content license· 1
StumbleUpon → Proprietary freeware
Current status· 1
StumbleUpon → Defunct
Dissolved· 1
StumbleUpon → June 30, 2018; 8 years ago (2018-06-30)
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 102 structured relationships around StumbleUpon. Examples in this analysis include StumbleUpon → Available in → English and StumbleUpon → Content license → Proprietary freeware. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
StumbleUpon
Available in
English
1.00
infobox
StumbleUpon
Content license
Proprietary freeware
1.00
infobox
StumbleUpon
Current status
Defunct
1.00
infobox
StumbleUpon
Dissolved
June 30, 2018; 8 years ago (2018-06-30)
1.00
infobox
StumbleUpon
Founded
November 2001; 24 years ago (2001-11)
1.00
infobox
StumbleUpon
Founder
Garrett Camp Geoff Smith
1.00
infobox
StumbleUpon
Headquarters
San Francisco, California, United States
1.00
infobox
StumbleUpon
Native client(s) on
Toolbar: Firefox, Google Chrome, Opera, Internet Explorer, Safari Mobile apps: Windows, iOS, Android, Amazon Appstore
1.00
infobox
StumbleUpon
Registration
Yes
1.00
infobox
StumbleUpon
Type of site
Website ranking and discovery
1.00
infobox
StumbleUpon
URL
Archived official website at the Wayback Machine (archive index)
1.00
infobox
those of Flickr
instance of
allowing users of the toolbar to stumble within websites
0.80
text
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 StumbleUpon bring nearby vocabulary together. In this analysis, examples include Users, Launched and Website. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
StumbleUpon
Users
Launched
Website
Content
Million
App
Mobile
April
Service
Time
Toolbar
Company
stumbleupon
Users
Launched
Website
Content
Million
App
Mobile
April
Service
Time
Toolbar
Company
garrett camp
Garrett
Geoff
Smith
Francisco
San
Ebay
Investors
Website
Type
Company
Founded
Google
mobile app
Founded
App
Mobile
September
Toolbar
Website
Geoff
Smith
Type
Discovery
Francisco
Garrett
toolbar
Site
Website
Founded
Geoff
Smith
Type
Discovery
Francisco
Garrett
Google
San
Videos
ebay
Geoff
Smith
Garrett
Camp
Website
Founded
Type
Million
Discovery
Francisco
Google
Mobile
san francisco
Francisco
San
Geoff
Smith
Type
February
Garrett
Google
Mobile
September
Investors
Site
south of market, san francisco
Francisco
San
Geoff
Smith
Type
February
Garrett
Google
Mobile
September
Investors
Site
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 StumbleUpon, one of the stronger structural bridges in this analysis connects StumbleUpon 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.
StumbleUpon
Nodes43
Edges42
Triples102
Avg. degree1.95
Density0.046512
Components1
Source & methodology
TTTA analyzes the structure around StumbleUpon to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Measurement & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
