Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
TechShop was a chain of membership-based, open-access, do-it-yourself (DIY) workshops and fabrication studios. As of 2017 they had ten locations in the United States, as well as four international locations.
The analysis highlights History, Measurement and Companies as prominent areas in the source structure around TechShop.
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 TechShop shows recurring relationship patterns in the source. For example, TechShop → After, American, Atherton, California, College, Jim Newton, Menlo Park, MythBusters, Newton, October, Ridge McGhee, Robert Thomas, San Mateo, STEAM, TV Another extracted example is TechShop → Attorneys, Build, California, Federal Judge Haywood, Gilliam Jr, June, March, No, Oakland, On February, On June, On March, Techshop's, The, TheShop. 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.
equipment new maker 2018 san workshops locations february bankruptcy tools opened members company location 2017 use theshop california build former
TTTA extracted 110 structured relationships around TechShop. Examples in this analysis include TechShop → CEO → Dan Woods and TechShop → Dissolved → February 26, 2018; 8 years ago (2018-02-26). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| TechShop | CEO | Dan Woods | 1.00 | infobox |
| TechShop | Dissolved | February 26, 2018; 8 years ago (2018-02-26) | 1.00 | infobox |
| TechShop | Formation | October 1, 2006 to November 26, 2018, 11 years 4 months 26 days | 1.00 | infobox |
| TechShop | Founded at | Menlo Park, California | 1.00 | infobox |
| TechShop | Founder | Jim Newton, Ridge McGhee, and Robert Thomas | 1.00 | infobox |
| TechShop | Headquarters | San Jose, California | 1.00 | infobox |
| TechShop | Legal status | For-profit corporation | 1.00 | infobox |
| TechShop | Purpose | Open-Access Workshop | 1.00 | infobox |
| TechShop | Remarks | Motto: Build your dreams here! | 1.00 | infobox |
| TechShop | Services | Classes, events, access to workshops equipped with tools and state-of-the-art equipment and design software | 1.00 | infobox |
| TechShop | Website | https://web.archive.org/web/20171012090853/http://www.techshop.ws/ | 1.00 | infobox |
| TechShop | related to Alternatives | The | 0.60 | section |
The concept neighborhoods around TechShop bring nearby vocabulary together. In this analysis, examples include Filed, February and Members. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For TechShop, one of the stronger structural bridges in this analysis connects TechShop 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 TechShop to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Measurement & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — TechShop · EN edition · Analysis: TopicsToTalkAbout