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HubSpot, Inc. is a US customer relationship management firm and data broker. It is headquartered in Cambridge, Massachusetts.
The analysis highlights History, Companies and Art as prominent areas in the source structure around HubSpot.
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 HubSpot shows recurring relationship patterns in the source. For example, HubSpot → According, Daniel Lyons, Disrupted, Freedom, He, HubSpot's, HubSpot's CMO, In April, In July, Information Act, It, Later, Lyons, Mike Volpe, My Misadventure, Start Up Bubble, The Boston Globe, The New York Times, Volpe Another extracted example is HubSpot → Best Overall, Best Place, By July, CNBC, CRM, Editors’ Choice, G2, Glassdoor, HubSpot Marketing Hub, HubSpot's, In, In January, Massachusetts, PCMag, The Boston Business Journal, The Boston Globe, Work. 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.
marketing company data 2024 cambridge massachusetts broker software google acquired named best business hubspot's tools inc website july announced 2026
TTTA extracted 73 structured relationships around HubSpot. Examples in this analysis include HubSpot → Founded → June 2006; 20 years ago (2006-06) and HubSpot → Founders → Brian Halligan. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| HubSpot | Founded | June 2006; 20 years ago (2006-06) | 1.00 | infobox |
| HubSpot | Founders | Brian Halligan | 1.00 | infobox |
| HubSpot | Founders | Dharmesh Shah | 1.00 | infobox |
| HubSpot | Headquarters | Cambridge, Massachusetts, U.S. | 1.00 | infobox |
| HubSpot | Industry | Software | 1.00 | infobox |
| HubSpot | Key people | Brian Halligan (chairman) | 1.00 | infobox |
| HubSpot | Key people | Yamini Rangan (CEO) | 1.00 | infobox |
| HubSpot | Key people | Dharmesh Shah (CTO) | 1.00 | infobox |
| HubSpot | Net income | US$4.63 million (2024) | 1.00 | infobox |
| HubSpot | Number of employees | 8,246 (2024) | 1.00 | infobox |
| HubSpot | Operating income | US$−68 million (2024) | 1.00 | infobox |
| HubSpot | Revenue | US$2.63 billion (2024) | 1.00 | infobox |
| HubSpot | Total assets | US$3.79 billion (2024) | 1.00 | infobox |
| HubSpot | Total equity | US$1.91 billion (2024) | 1.00 | infobox |
| HubSpot | Traded as | NYSE: HUBS | 1.00 | infobox |
| HubSpot | Traded as | Russell 1000 component | 1.00 | infobox |
| HubSpot | Type | Public | 1.00 | infobox |
| HubSpot | Website | hubspot.com | 1.00 | infobox |
| HubSpot | is a | unregistered data broker | 0.90 | text |
The concept neighborhoods around HubSpot bring nearby vocabulary together. In this analysis, examples include Announced, Acquired and Best. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For HubSpot, one of the stronger structural bridges in this analysis connects HubSpot with History. 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 HubSpot to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Companies & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — HubSpot · EN edition · Analysis: TopicsToTalkAbout