Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
ClearCube is a computer systems manufacturer based in Austin, Texas, owned by parent company ClearCube Holdings. The company became known for its blade PC products; it has since expanded its offerings to include desktop virtualization and VDI. It was founded in 1997 by Andrew Heller (former IBM Fellow) and Barry Thornton as Vicinity Systems.
The analysis highlights Products and Companies as prominent areas in the source structure around ClearCube.
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 ClearCube shows recurring relationship patterns in the source. For example, ClearCube → After, C7420 C/Port, Citrix, ClearCube's, DVI, Ethernet, Hitachi, HP, I9420 I/Port, IBM, In, In January, Lenovo, OEM, Other, PC, SAIC, Teradici's PC-over-IP, Until, VDIworks Another extracted example is ClearCube → CNET NewsShelley Solheim, February, InfoWorld, InfoWorldOliver Rist, June, Michael Kanellos, PC, September, Start-up. 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.
products company ibm revenue software services pc 2005 desktop hardware blade systems expanded virtual strong growth 2011 computer texas parent
TTTA extracted 39 structured relationships around ClearCube. Examples in this analysis include ClearCube → Founded → 1997 (1997) and ClearCube → Founder → Andrew Heller and Barry Thornton. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| ClearCube | Founded | 1997 (1997) | 1.00 | infobox |
| ClearCube | Founder | Andrew Heller and Barry Thornton | 1.00 | infobox |
| ClearCube | Headquarters | Cedar Park, Texas, USA | 1.00 | infobox |
| ClearCube | Industry | Information Technology | 1.00 | infobox |
| ClearCube | Parent | ClearCube Holdings | 1.00 | infobox |
| ClearCube | Products | Computer hardware, software and services | 1.00 | infobox |
| ClearCube | Website | ClearCube.com | 1.00 | infobox |
| ClearCube | is a | computer systems manufacturer based in Austin | 0.90 | text |
| ClearCube | related to Further reading | Michael Kanellos | 0.60 | section |
| ClearCube | related to Further reading | September | 0.60 | section |
| ClearCube | related to Further reading | Start-up | 0.60 | section |
| ClearCube | related to Further reading | CNET NewsShelley Solheim | 0.60 | section |
The concept neighborhoods around ClearCube bring nearby vocabulary together. In this analysis, examples include Products, Software and Additional. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For ClearCube, one of the stronger structural bridges in this analysis connects ClearCube with Partnerships. 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 ClearCube to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Products & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — ClearCube · EN edition · Analysis: TopicsToTalkAbout