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Feedly: History & Overview

Feedly is a freemium news aggregator application for web browsers and mobile devices running Android and iOS. It is also available as a cloud-based service. It compiles news feeds from a variety of online sources for the user to customize and share with others. Feedly was first released by DevHD in 2008.

Language: English [EN]
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Feedly topic overview

The analysis highlights History and Overview as prominent areas in the source structure around Feedly.

Related topics
8
Source areas
2
Connected nodes
10
Extracted relationships
31
Concept neighborhoods
9
Bridge connections
10

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
History · 2 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.

Area served
Worldwide
Available in
English
Commercial
Yes
Current status
Active
Launched
2008; 18 years ago (2008)
Registration
Yes

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

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 Feedly connects Entity context

The extracted context around Feedly shows recurring relationship patterns in the source. For example, Feedly → At, By April, DevHD's, Feeddo, Google Reader, In, It, May, On March, Originally, Streets Another extracted example is Feedly → All, Android, DevHD's, However, Instead, Like, Streets, The Feedly. Use these groups to spot repeated connection types before inspecting the individual relationships.

Feedly

Top relations

related to history · 11
Feedly → At, By April, DevHD's, Feeddo, Google Reader, In, It, May, On March, Originally, Streets
related to Mobile app · 8
Feedly → All, Android, DevHD's, However, Instead, Like, Streets, The Feedly
related to Denial-of-service attacks · 2
Feedly → On June, The
Area served · 1
Feedly → Worldwide
Available in · 1
Feedly → English
Commercial · 1
Feedly → Yes
Current status · 1
Feedly → Active
Launched · 1
Feedly → 2008; 18 years ago (2008)
Registration · 1
Feedly → Yes
Type of site · 1
Feedly → News aggregator

Important terminology

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

Important terminology

mobile news app available users application web devices first also android ios aggregator 2008 2013 million service variety online sources

Feedly relationships Subject–Predicate–Object triples

TTTA extracted 31 structured relationships around Feedly. Examples in this analysis include Feedly → Area served → Worldwide and Feedly → Available in → English. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
FeedlyArea servedWorldwide1.00infobox
FeedlyAvailable inEnglish1.00infobox
FeedlyCommercialYes1.00infobox
FeedlyCurrent statusActive1.00infobox
FeedlyLaunched2008; 18 years ago (2008)1.00infobox
FeedlyRegistrationYes1.00infobox
FeedlyType of siteNews aggregator1.00infobox
FeedlyURLfeedly.com1.00infobox
FeedlyWritten inJava (back-end), JavaScript, HTML, CSS (UI)1.00infobox
Feedlyis afreemium news aggregator application for web browsers and mobile devices running Android and iOS0.90text
Feedlyrelated to Denial-of-service attacksOn June0.60section
Feedlyrelated to Denial-of-service attacksThe0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Feedly bring nearby vocabulary together. In this analysis, examples include Mobile, First and App. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Feedly
    • Mobile
    • First
    • App
    • Users
    • Aggregator
    • Android
    • Attacks
    • Denial-of-service
    • Extension
    • Ios
    • Released
    • Application
  • feedly
    • Mobile
    • First
    • App
    • Users
    • Aggregator
    • Android
    • Attacks
    • Denial-of-service
    • Extension
    • Ios
    • Released
    • Application
  • news aggregator
    • News
    • Browsers
    • Freemium
    • Running
    • Mobile
    • Also
    • Android
    • Attacks
    • Compiles
    • Customize
    • Denial-of-service
    • Devhd's
  • mobile devices
    • Android
    • Ios
    • Web
    • Available
    • First
    • Freemium
    • Mobile
    • News
    • Running
    • Devhd's
    • Project
    • Streets
  • web browsers
    • Freemium
    • Running
    • Mobile
    • Android
    • Ios
    • Browsers
    • Devices
    • News
    • Web
    • Aggregator
    • Extension
    • Released
  • android
    • Ios
    • Application
    • Devices
    • Browsers
    • Freemium
    • Running
    • Mobile
    • Available
    • News
    • Web
    • Feedly
  • denial-of-service attacks
    • Denial-of-service
    • Devhd's
    • Project
    • Streets
    • Available
    • First
    • News
    • App
    • Users
    • Feedly
    • Mobile
  • freemium
    • Running
    • Ios
    • News
    • Web
    • Mobile

Connections between topic areas Semantic bridges

For Feedly, one of the stronger structural bridges in this analysis connects Feedly 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
FeedlyOverview · splits 4 ⟂ 7
FeedlyHistory · splits 8 ⟂ 3

Map overview Semantic statistics

Feedly

Nodes11
Edges10
Triples31
Avg. degree1.82
Density0.181818
Components1

Source & methodology

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

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

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