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FriendFeed was a real-time feed aggregator that consolidated updates from social media and social networking websites, social bookmarking websites, blogs and microblogging updates, as well as any type of RSS/Atom feed. It was created in 2007 by Bret Taylor, Jim Norris, Paul Buchheit and Sanjeev Singh. It was possible to use this stream of information to…
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around FriendFeed.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
The extracted context around FriendFeed shows recurring relationship patterns in the source. For example, FriendFeed → But Why, FriendFeedFriendFeed Is This Years, Twitter, VC Another extracted example is FriendFeed → Chinese (Simplified), English, French, German, Italian, Japanese, Persian, Russian, Spanish, Turkish. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
social blogs facebook services service media well created bret taylor jim norris paul buchheit sanjeev singh information april 10 2015
TTTA extracted 15 structured relationships around FriendFeed. Examples in this analysis include FriendFeed → Available in → Chinese (Simplified), English, French, German, Italian, Japanese, Persian, Russian, Spanish, Turkish and FriendFeed → Current status → Offline. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| FriendFeed | Available in | Chinese (Simplified), English, French, German, Italian, Japanese, Persian, Russian, Spanish, Turkish | 1.00 | infobox |
| FriendFeed | Current status | Offline | 1.00 | infobox |
| FriendFeed | Dissolved | April 9, 2015; 11 years ago (2015-04-09) | 1.00 | infobox |
| FriendFeed | Launched | October 2, 2007; 18 years ago (2007-10-02) | 1.00 | infobox |
| FriendFeed | Owner | Meta Platforms | 1.00 | infobox |
| FriendFeed | Type of site | Social aggregator | 1.00 | infobox |
| Gmail | instance of | resulting in fewer page views for the blogger.The founders were all former Google employees who were involved in the launch of services | 0.80 | text |
| Google Maps | instance of | resulting in fewer page views for the blogger.The founders were all former Google employees who were involved in the launch of services | 0.80 | text |
| theirs.On August 10 | instance of | Employees of FriendFeed created the Simple Update Protocol to reduce the load put on sites by aggregators | 0.80 | text |
| 2009 | instance of | Employees of FriendFeed created the Simple Update Protocol to reduce the load put on sites by aggregators | 0.80 | text |
| Facebook agreed to acquire FriendFeed | instance of | Employees of FriendFeed created the Simple Update Protocol to reduce the load put on sites by aggregators | 0.80 | text |
| FriendFeed | related to External links | FriendFeedFriendFeed Is This Years | 0.60 | section |
The concept neighborhoods around FriendFeed bring nearby vocabulary together. In this analysis, examples include Social, Blogs and Bloggers. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bridges highlight paths between different parts of the FriendFeed map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around FriendFeed to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — FriendFeed · EN edition · Analysis: TopicsToTalkAbout