Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Keybase is a key directory that maps social media identities to encryption keys (including, but not limited to PGP keys) in a publicly auditable manner. Additionally it offers an end-to-end encrypted chat and cloud storage system, called Keybase Chat and the Keybase Filesystem respectively. Files placed in the public portion of the filesystem are served…
The analysis highlights App, Overview and Keybase Filesystem (KBFS) as prominent areas in the source structure around Keybase.
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 Keybase shows recurring relationship patterns in the source. For example, Keybase → Android, Each, Electron, Go, In, Keybase Filesystem, Linux, Mac, PGP, The, Windows Another extracted example is Keybase → Currently, GB, Git, However, In October, Keybase Filesystem, Microsoft Windows, On Unix-like, The, There. 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.
files public filesystem users private user identities team encrypted client signed chat also publicly end-to-end teams account folder key storage
TTTA extracted 56 structured relationships around Keybase. Examples in this analysis include Keybase → Available in → English and Keybase → Created by → Chris Coyne, Max Krohn, others. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Keybase | Available in | English | 1.00 | infobox |
| Keybase | Created by | Chris Coyne, Max Krohn, others | 1.00 | infobox |
| Keybase | Launched | February 14, 2014; 12 years ago (2014-02-14) | 1.00 | infobox |
| Keybase | Owner | Zoom Video Communications (2020) | 1.00 | infobox |
| Keybase | Registration | Required for membership | 1.00 | infobox |
| Keybase | Type of site | Encrypted social media | 1.00 | infobox |
| Keybase | URL | keybase.io | 1.00 | infobox |
| Keybase | Users | 407,163 (as of 2019-08-22)[citation needed] | 1.00 | infobox |
| Keybase | Written in | Go, JavaScript, Electron, React | 1.00 | infobox |
| Keybase | is a | key directory that maps social media identities to encryption keys | 0.90 | text |
| OAuth | instance of | Instead of using a system | 0.80 | text |
| identities are proven by posting a signed statement as the account a user wishes to prove ownership of | instance of | Instead of using a system | 0.80 | text |
The concept neighborhoods around Keybase bring nearby vocabulary together. In this analysis, examples include Filesystem, Chat and Encrypted. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Keybase, one of the stronger structural bridges in this analysis connects Keybase 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 Keybase to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as App, Overview & Keybase Filesystem (KBFS), including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Keybase · EN edition · Analysis: TopicsToTalkAbout