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Mailbird: History, Features & Mailbird for Mac
Mailbird is a desktop email client for Microsoft Windows and MacOS, compatible with Windows 10 and Windows 11, and with Ventura or higher for Mac devices. Mailbird is offered via a paid subscription, but also includes a free version for both Windows and Mac users.
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Mailbird topic overview
The analysis highlights History, Features and Mailbird for Mac as prominent areas in the source structure around Mailbird.
Related topics
34
Source areas
4
Connected nodes
38
Extracted relationships
87
Concept neighborhoods
17
Bridge connections
38
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.
Features · 22 topics
Overview · 6 topics
History · 5 topics
Mailbird for Mac · 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.
Available in
24 languages
Developers
Mailbird, Inc.
License
Freemium
Operating system
Windows 10, Windows 11, macOS Ventura and higher
Platform
.NET Framework Avalonia
Release
April 2, 2013; 13 years ago (2013-04-02)
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
How Mailbird connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Mailbird shows recurring relationship patterns in the source. For example, Mailbird → AI, Asana, Business, Calendar, Chrome, Degoo, Drive, Dropbox, Evernote, Facebook Messenger, Feedly, FollowUp, Gmail, Google, Hangouts, Keep, Leave Me Alone, Lifehacker, Messengers, Remove Another extracted example is Mailbird → Along, ChatGPT, Comments, Email Snooze, Email Tracking, Exchange, Facebook, Gmail, Hotmail, IMAP, In-line, Microsoft Exchange, Outlook, POP3, The, The Speed Reader, WhatsApp, Yahoo Mail. Use these groups to spot repeated connection types before inspecting the individual relationships.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 87 structured relationships around Mailbird. Examples in this analysis include Mailbird → Available in → 24 languages and Mailbird → Developers → Mailbird, Inc.. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Mailbird
Available in
24 languages
1.00
infobox
Mailbird
Developers
Mailbird, Inc.
1.00
infobox
Mailbird
License
Freemium
1.00
infobox
Mailbird
Operating system
Windows 10, Windows 11, macOS Ventura and higher
1.00
infobox
Mailbird
Platform
.NET Framework Avalonia
1.00
infobox
Mailbird
Release
April 2, 2013; 13 years ago (2013-04-02)
1.00
infobox
Mailbird
Stable release
3.0.49.0 (Windows) 1.17.0 (macOS) / February 14, 2026; 6 months ago (2026-02-14) (Windows), January 14, 2026; 7 months ago (2026-01-14) (macOS)
1.00
infobox
Mailbird
Type
Email client
1.00
infobox
Mailbird
Website
www.getmailbird.com
1.00
infobox
Mailbird
is a
desktop email client for Microsoft Windows and MacOS
0.90
text
Mailbird
related to App integrations
The
0.60
section
Mailbird
related to App integrations
Chrome
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Mailbird bring nearby vocabulary together. In this analysis, examples include Mac, Released and Users. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Mailbird
Mac
Released
Users
Features
January
Macos
Public
Windows
Version
Higher
Ventura
Inside
mailbird
Mac
Released
Users
Features
January
Macos
Public
Windows
Version
Higher
Ventura
Inside
email client
Macos
Higher
Ventura
Windows
Version
Mailbird
Mac
Client
Email
Features
Accounts
Along
sparrow email client
Macos
Higher
Ventura
Windows
Version
Mailbird
Mac
Client
Email
Features
Accounts
Along
email tracking
Mailbird
Client
Features
Accounts
Macos
Inbox
Version
Mac
App
Higher
Ventura
Along
mailbird for mac
Mac
Mailbird
Macos
Windows
Released
Users
Version
Features
January
Public
Ventura
Microsoft
microsoft windows
Higher
Ventura
Macos
Client
Exchange
Support
Version
Mac
Chatgpt
Facebook
January
Languages
features
New
Integrations
Along
Contact
Mailbird
Mac
Introduced
Calendar
Etc
Inbox
Released
Users
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Mailbird, one of the stronger structural bridges in this analysis connects Mailbird 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.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Mailbird
Nodes39
Edges38
Triples87
Avg. degree1.95
Density0.051282
Components1
Source & methodology
TTTA analyzes the structure around Mailbird to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Features & Mailbird for Mac, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
