Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

FriendFeed: Overview, Related Topics & Entities

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…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

FriendFeed topic overview

The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around FriendFeed.

Related topics
21
Source areas
1
Connected nodes
22
Extracted relationships
15
Concept neighborhoods
18
Bridge connections
22

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 · 21 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.

Owner
Meta Platforms
Available in
Chinese (Simplified), English, French, German, Italian, Japanese, Persian, Russian, Spanish, Turkish
Current status
Offline
Dissolved
April 9, 2015; 11 years ago (2015-04-09)
Launched
October 2, 2007; 18 years ago (2007-10-02)
Type of site
Social aggregator

Explore all related topics Closing gaps

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.

Overview

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How FriendFeed connects Entity context

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.

FriendFeed

Top relations

related to External links · 4
FriendFeed → But Why, FriendFeedFriendFeed Is This Years, Twitter, VC
Available in · 1
FriendFeed → Chinese (Simplified), English, French, German, Italian, Japanese, Persian, Russian, Spanish, Turkish
Current status · 1
FriendFeed → Offline
Dissolved · 1
FriendFeed → April 9, 2015; 11 years ago (2015-04-09)
Launched · 1
FriendFeed → October 2, 2007; 18 years ago (2007-10-02)
Owner · 1
FriendFeed → Meta Platforms
Type of site · 1
FriendFeed → Social aggregator

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

social blogs facebook services service media well created bret taylor jim norris paul buchheit sanjeev singh information april 10 2015

FriendFeed relationships Subject–Predicate–Object triples

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.

SubjectPredicateObjectConfidenceSrc
FriendFeedAvailable inChinese (Simplified), English, French, German, Italian, Japanese, Persian, Russian, Spanish, Turkish1.00infobox
FriendFeedCurrent statusOffline1.00infobox
FriendFeedDissolvedApril 9, 2015; 11 years ago (2015-04-09)1.00infobox
FriendFeedLaunchedOctober 2, 2007; 18 years ago (2007-10-02)1.00infobox
FriendFeedOwnerMeta Platforms1.00infobox
FriendFeedType of siteSocial aggregator1.00infobox
Gmailinstance ofresulting in fewer page views for the blogger.The founders were all former Google employees who were involved in the launch of services0.80text
Google Mapsinstance ofresulting in fewer page views for the blogger.The founders were all former Google employees who were involved in the launch of services0.80text
theirs.On August 10instance ofEmployees of FriendFeed created the Simple Update Protocol to reduce the load put on sites by aggregators0.80text
2009instance ofEmployees of FriendFeed created the Simple Update Protocol to reduce the load put on sites by aggregators0.80text
Facebook agreed to acquire FriendFeedinstance ofEmployees of FriendFeed created the Simple Update Protocol to reduce the load put on sites by aggregators0.80text
FriendFeedrelated to External linksFriendFeedFriendFeed Is This Years0.60section

Related concept clusters Concept neighborhoods

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.

  • FriendFeed
    • Social
    • Blogs
    • Bloggers
    • Content
    • Media
    • Million
    • Networks
    • Twitter
    • Type
    • Facebook
    • Services
    • Atom
  • friendfeed
    • Social
    • Blogs
    • Bloggers
    • Content
    • Media
    • Million
    • Networks
    • Twitter
    • Type
    • Facebook
    • Services
    • Atom
  • social media
    • Content
    • Flickr
    • Microblogging
    • Networks
    • Rss
    • Social
    • Twitter
    • Type
    • Services
    • Bloggers
    • Well
    • Service
  • blogs
    • Bloggers
    • Media
    • Social
    • Atom
    • Flickr
    • Microblogging
    • Rss
    • Friendfeed
    • Networks
    • Twitter
    • Type
    • Well
  • feed aggregator
    • Type
    • Atom
    • Microblogging
    • Rss
    • Social
    • Content
    • Could
    • Media
    • Twitter
    • Well
    • Blogs
    • Services
  • social networking
    • Content
    • Networks
    • Twitter
    • Type
    • Services
    • Flickr
    • Rss
    • Bloggers
    • Could
    • Information
    • Well
    • Service
  • social bookmarking
    • Content
    • Networks
    • Twitter
    • Type
    • Services
    • Flickr
    • Rss
    • Bloggers
    • Could
    • Information
    • Well
    • Service
  • bret taylor
    • Bret
    • Buchheit
    • Jim
    • Norris
    • Paul
    • Sanjeev
    • Singh
    • Taylor
    • Created

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the FriendFeed map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

FriendFeed

Nodes23
Edges22
Triples15
Avg. degree1.91
Density0.086957
Components1

Source & methodology

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

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.