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Meebo (often stylized as meebo) was an instant messaging and social networking service provider. It was founded in September 2005 by Sandy Jen, Seth Sternberg, and Elaine Wherry, and was based in Mountain View, California. Initially the company offered a web-based instant messenger service, extending its offer in more general online chat and even social…
The analysis highlights History, Companies and Products as prominent areas in the source structure around Meebo.
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 Meebo shows recurring relationship patterns in the source. For example, Meebo → AIM, Albeit Meebo Messenger, Facebook Chat, Features, File, Google Talk, ICQ, IM, Meebo Messenger, Meebo Rooms, Meebo's, MSN, MySpaceIM, Notification, Registered Meebo, Social, The, Windows, Yahoo Another extracted example is Meebo → After, At, Auren Hoffman, Draper Fisher Jurvetson, Flash-based, In May, Marc Andreessen, Meebo Me, Meebo Messenger, Meebo's, On August, Rooms, Sequoia. 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.
messenger instant rooms social chat meebo's google service messaging im users networking services mountain view california features 2005 products could
TTTA extracted 57 structured relationships around Meebo. Examples in this analysis include Meebo → Advertising → Yes and Meebo → CEO → Seth Sternberg. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Meebo | Advertising | Yes | 1.00 | infobox |
| Meebo | CEO | Seth Sternberg | 1.00 | infobox |
| Meebo | Current status | Discontinued | 1.00 | infobox |
| Meebo | Founded | September 14, 2005; 20 years ago (2005-09-14) | 1.00 | infobox |
| Meebo | Founder(s) | Sandy Jen, Elaine Wherry, Seth Sternberg | 1.00 | infobox |
| Meebo | Headquarters | Mountain View, California, U.S. | 1.00 | infobox |
| Meebo | IPv6 support | No | 1.00 | infobox |
| Meebo | Launched | September 2005; 20 years ago (2005-09) | 1.00 | infobox |
| Meebo | Native client(s) on | Android, BlackBerry, iOS | 1.00 | infobox |
| Meebo | Owner | 1.00 | infobox | |
| Meebo | Products | Community IM, Meebo Bar and Meebo Me | 1.00 | infobox |
| Meebo | Registration | Optional | 1.00 | infobox |
| Meebo | Services | Meebo Messenger, Meebo Rooms | 1.00 | infobox |
| Meebo | Type of site | Instant messager, social networking service | 1.00 | infobox |
| Meebo | URL | www.meebo.com | 1.00 | infobox |
| Meebo | Users | 250 million monthly (2011) | 1.00 | infobox |
The concept neighborhoods around Meebo bring nearby vocabulary together. In this analysis, examples include Rooms, Messenger and Im. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Meebo, one of the stronger structural bridges in this analysis connects Meebo with Products. 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 Meebo to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Companies & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Meebo · EN edition · Analysis: TopicsToTalkAbout