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Superfeedr: History, Technology & Standards

Superfeedr is a feed API built on WebSub that is sometimes referred to as PuSH. It transforms a variety of feeds into a standardized RSS, Atom, or JSON format and distributes "pushes" them via WebSub or XMPP. Feeds allow publishers to send notifications to subscribers when content is updated.

Language: English [EN]
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Superfeedr topic overview

The analysis highlights History, Technology and Standards as prominent areas in the source structure around Superfeedr.

Related topics
14
Source areas
5
Connected nodes
19
Extracted relationships
26
Concept neighborhoods
14
Bridge connections
19

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 · 6 topics
Funding · 3 topics
Technology · 3 topics
Features · 1 topics
History · 1 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.

Industry
Web application
Headquarters
San Francisco, California, United States
Area served
Worldwide
Founder
Julien Genestoux
Key people
Mark Cuban (investor) Betaworks (investor)
Parent
Notifixious, Inc.

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

History

Technology

Features

Funding

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 Superfeedr connects Entity context

The extracted context around Superfeedr shows recurring relationship patterns in the source. For example, Superfeedr → API, April, Complex, Publishers, The, Trackers, WebSub Another extracted example is Superfeedr → January, Medium, Notifixious, September, While Notifixious. Use these groups to spot repeated connection types before inspecting the individual relationships.

Superfeedr

Top relations

related to Features · 7
Superfeedr → API, April, Complex, Publishers, The, Trackers, WebSub
related to history · 5
Superfeedr → January, Medium, Notifixious, September, While Notifixious
related to Funding · 3
Superfeedr → Betaworks, In, Mark Cuban
related to Technology · 3
Superfeedr → Atom, PuSH, RSS
Area served · 1
Superfeedr → Worldwide
Founder · 1
Superfeedr → Julien Genestoux
Headquarters · 1
Superfeedr → San Francisco, California, United States
Industry · 1
Superfeedr → Web application
Key people · 1
Superfeedr → Mark Cuban (investor) Betaworks (investor)
Parent · 1
Superfeedr → Notifixious, Inc.

Important terminology

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

Important terminology

feeds feed websub push publishers subscribers rss notifixious api atom betaworks 2009 available search built funding mark cuban web application

Superfeedr relationships Subject–Predicate–Object triples

TTTA extracted 26 structured relationships around Superfeedr. Examples in this analysis include Superfeedr → Area served → Worldwide and Superfeedr → Founder → Julien Genestoux. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
SuperfeedrArea servedWorldwide1.00infobox
SuperfeedrFounderJulien Genestoux1.00infobox
SuperfeedrHeadquartersSan Francisco, California, United States1.00infobox
SuperfeedrIndustryWeb application1.00infobox
SuperfeedrKey peopleMark Cuban (investor) Betaworks (investor)1.00infobox
SuperfeedrParentNotifixious, Inc.1.00infobox
SuperfeedrURLsuperfeedr.com1.00infobox
Superfeedris afeed API built on WebSub that is sometimes referred to as PuSH0.90text
Superfeedrrelated to FeaturesPublishers0.60section
Superfeedrrelated to FeaturesWebSub0.60section
Superfeedrrelated to FeaturesAPI0.60section
Superfeedrrelated to FeaturesTrackers0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Superfeedr bring nearby vocabulary together. In this analysis, examples include Notifixious, Application and Betaworks. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Superfeedr
    • Notifixious
    • Application
    • Betaworks
    • Cuban
    • Funding
    • Hub
    • Mark
    • Parent
    • Web
    • Websub
    • Feeds
    • Referred
  • superfeedr
    • Notifixious
    • Application
    • Betaworks
    • Cuban
    • Funding
    • Hub
    • Mark
    • Parent
    • Web
    • Websub
    • Feeds
    • Referred
  • atom feed
    • Rss
    • Distributes
    • Format
    • Json
    • Pushes
    • Standardized
    • Transforms
    • Variety
    • Via
    • Xmpp
    • Api
    • Built
  • atom
    • Rss
    • Distributes
    • Format
    • Json
    • Pushes
    • Standardized
    • Transforms
    • Variety
    • Via
    • Xmpp
    • Hub
    • Protocol
  • rss
    • Atom
    • Distributes
    • Format
    • Json
    • Pushes
    • Standardized
    • Transforms
    • Variety
    • Via
    • Xmpp
    • Hub
    • Protocol
  • api
    • Websub
    • Referred
    • Sometimes
    • Feed
    • Built
    • Hub
    • Web
    • Publishers
    • Push
    • Subscribers
    • Superfeedr
    • Feeds
  • xmpp
    • Distributes
    • Format
    • Json
    • Pushes
    • Standardized
    • Transforms
    • Variety
    • Via
    • Atom
    • Rss
    • Websub
    • Feeds
  • push
    • Referred
    • Sometimes
    • Polling
    • Protocol
    • Updates
    • Available
    • Publishers
    • Subscribers
    • Websub
    • Superfeedr

Connections between topic areas Semantic bridges

For Superfeedr, one of the stronger structural bridges in this analysis connects Superfeedr 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.

Min side: 3
Superfeedr — Overview · splits 13 ⟂ 7
Superfeedr — Technology · splits 16 ⟂ 4
Superfeedr — Funding · splits 16 ⟂ 4

Map overview Semantic statistics

Superfeedr

Nodes20
Edges19
Triples26
Avg. degree1.9
Density0.1
Components1

Source & methodology

TTTA analyzes the structure around Superfeedr to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Technology & Standards, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Superfeedr · EN edition · Analysis: TopicsToTalkAbout

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