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HashiCorp, Inc. is an American software company and subsidiary of IBM based in San Francisco, California. HashiCorp provides tools and products that enable developers, operators and security professionals to provision, secure, run and connect cloud-computing infrastructure. It was founded in 2012 by Mitchell Hashimoto and Armon Dadgar. The company name…
The analysis highlights History, Products, Regions and Companies as prominent areas in the source structure around HashiCorp.
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 HashiCorp shows recurring relationship patterns in the source. For example, HashiCorp → Allen School, Armon Dadgar, Co-founder Hashimoto, Computer Science, Engineering, IPO, It, Mitchell Hashimoto, November, On, University, Vagrant, Washington's Paul Another extracted example is HashiCorp → Additional, Each, Many. 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.
hashimoto ibm company products mitchell san francisco software 2024 billion founded 2012 armon dadgar united tools 2025 subsidiary 2021 inc
TTTA extracted 36 structured relationships around HashiCorp. Examples in this analysis include HashiCorp → Area served → Global and HashiCorp → Founded → 2012; 14 years ago (2012). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| HashiCorp | Area served | Global | 1.00 | infobox |
| HashiCorp | Founded | 2012; 14 years ago (2012) | 1.00 | infobox |
| HashiCorp | Founders | Mitchell Hashimoto | 1.00 | infobox |
| HashiCorp | Founders | Armon Dadgar | 1.00 | infobox |
| HashiCorp | Headquarters | 101 Second Street, San Francisco, California, United States | 1.00 | infobox |
| HashiCorp | Industry | IT infrastructure | 1.00 | infobox |
| HashiCorp | Key people | David McJannet (CEO) | 1.00 | infobox |
| HashiCorp | Net income | US$−191 million (2024) | 1.00 | infobox |
| HashiCorp | Number of employees | c. 2,200 (2024) | 1.00 | infobox |
| HashiCorp | Operating income | US$−254 million (2024) | 1.00 | infobox |
| HashiCorp | Parent | IBM (2025–present) | 1.00 | infobox |
| HashiCorp | Revenue | US$583 million (2024) | 1.00 | infobox |
| HashiCorp | Total assets | US$1.69 billion (2024) | 1.00 | infobox |
| HashiCorp | Total equity | US$1.21 billion (2024) | 1.00 | infobox |
| HashiCorp | Traded as | Nasdaq: HCP (2021–2025) | 1.00 | infobox |
| HashiCorp | Type | Subsidiary | 1.00 | infobox |
| HashiCorp | Website | hashicorp.com | 1.00 | infobox |
| HashiCorp | is a | portmanteau of co-founder last name Hashimoto and Corporation.HashiCorp is headquartered in San Francisco | 0.90 | text |
The concept neighborhoods around HashiCorp bring nearby vocabulary together. In this analysis, examples include Products, Ibm and Software. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For HashiCorp, one of the stronger structural bridges in this analysis connects HashiCorp 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 HashiCorp to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Products, Regions & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — HashiCorp · EN edition · Analysis: TopicsToTalkAbout