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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.
The analysis highlights History and Overview as prominent areas in the source structure around Feedly.
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 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.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
mobile news app available users application web devices first also android ios aggregator 2008 2013 million service variety online sources
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.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Feedly | Area served | Worldwide | 1.00 | infobox |
| Feedly | Available in | English | 1.00 | infobox |
| Feedly | Commercial | Yes | 1.00 | infobox |
| Feedly | Current status | Active | 1.00 | infobox |
| Feedly | Launched | 2008; 18 years ago (2008) | 1.00 | infobox |
| Feedly | Registration | Yes | 1.00 | infobox |
| Feedly | Type of site | News aggregator | 1.00 | infobox |
| Feedly | URL | feedly.com | 1.00 | infobox |
| Feedly | Written in | Java (back-end), JavaScript, HTML, CSS (UI) | 1.00 | infobox |
| Feedly | is a | freemium news aggregator application for web browsers and mobile devices running Android and iOS | 0.90 | text |
| Feedly | related to Denial-of-service attacks | On June | 0.60 | section |
| Feedly | related to Denial-of-service attacks | The | 0.60 | section |
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.
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.
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