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Discourse is an open source Internet forum system released on August 26, 2014. It was founded by Jeff Atwood, Robin Ward, and Sam Saffron.
The analysis highlights History, Features and Overview as prominent areas in the source structure around Discourse (software).
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 Discourse (software) shows recurring relationship patterns in the source. For example, Discourse (software) → Albanian, Arabic, Bosnian, Chinese, Czech, Danish, Dutch, English, Estonian, Finnish, French, Galician, German, Greek, Hebrew, Indonesian, Italian, Japanese, Korean, Norwegian,… Another extracted example is Discourse (software) → Civilized Discourse Construction Kit, Inc.. 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.
discourse users features categories new composer source topics trust support also developers software forum add messages groups plugins civilized system
TTTA extracted 19 structured relationships around Discourse (software). Examples in this analysis include Discourse (software) → Available in → Albanian, Arabic, Bosnian, Chinese, Czech, Danish, Dutch, English, Estonian, Finnish, French, Galician, German, Greek, Hebrew, Indonesian, Italian, Japanese, Korean, Norwegian,… and Discourse (software) → Developers → Civilized Discourse Construction Kit, Inc.. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Discourse (software) | Available in | Albanian, Arabic, Bosnian, Chinese, Czech, Danish, Dutch, English, Estonian, Finnish, French, Galician, German, Greek, Hebrew, Indonesian, Italian, Japanese, Korean, Norwegian,… | 1.00 | infobox |
| Discourse (software) | Developers | Civilized Discourse Construction Kit, Inc. | 1.00 | infobox |
| Discourse (software) | License | GNU GPL version 2 (or later) | 1.00 | infobox |
| Discourse (software) | Operating system | Linux | 1.00 | infobox |
| Discourse (software) | Release | August 26, 2014 (11 years ago) (2014-08-26) | 1.00 | infobox |
| Discourse (software) | Repository | github.com/discourse/discourse | 1.00 | infobox |
| Discourse (software) | Stable release | v2026.1.0 / 8 January 2026 | 1.00 | infobox |
| Discourse (software) | Type | Forum software | 1.00 | infobox |
| Discourse (software) | Website | www.discourse.org | 1.00 | infobox |
| Discourse (software) | Written in | Ruby, JavaScript | 1.00 | infobox |
| reply | instance of | They can take actions | 0.80 | text |
| like | instance of | They can take actions | 0.80 | text |
The concept neighborhoods around Discourse (software) bring nearby vocabulary together. In this analysis, examples include Construction, Kit and Official. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Discourse (software), one of the stronger structural bridges in this analysis connects Discourse (software) with Features. 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 Discourse (software) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Features & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Discourse (software) · EN edition · Analysis: TopicsToTalkAbout