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Datapoint Corporation, originally known as Computer Terminal Corporation (CTC), was a computer company based in San Antonio, Texas, United States. Founded in July 1968 by Phil Ray and Gus Roche, its first products were, as the company's original name suggests, computer terminals intended to replace Teletype machines connected to time sharing systems.
The analysis highlights History, Companies, Products and Measurement as prominent areas in the source structure around Datapoint. 1 topic appears in more than one source area, which can help identify connections that are less obvious in a linear reading.
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 Datapoint shows recurring relationship patterns in the source. For example, Datapoint → Additionally, After, By, Compounding, Exchange Commission, Fort Worth, Fortune, Ft, Lead, March, Pressure, Production, San Antonio, SEC, Securities, Such, Texas, The, The Ft, US Another extracted example is Datapoint → After, Based, Computer Terminal Corporation, CTC, However, In October, Intel, IPO, July, New York City, Once, San Antonio, Teletype Model, Texas, Texas Instruments, This, TI, US. 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.
company ray computer intel 2200 edelman roche based san antonio arcnet later datapoint's texas corporation million product first systems could
TTTA extracted 110 structured relationships around Datapoint. Examples in this analysis include Datapoint → Area served → Europe and Datapoint → Defunct → May 3, 2000 (Bankruptcy). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Datapoint | Area served | Europe | 1.00 | infobox |
| Datapoint | Defunct | May 3, 2000 (Bankruptcy) | 1.00 | infobox |
| Datapoint | Fate | Taken over by Asher B. Edelman, and broken up between 1984 - 2000 | 1.00 | infobox |
| Datapoint | Founded | July 1968 (1968-07) | 1.00 | infobox |
| Datapoint | Founder | John Phil Ray, Gus Roche in San Antonio, Texas | 1.00 | infobox |
| Datapoint | Headquarters | Brentford, United Kingdom | 1.00 | infobox |
| Datapoint | Industry | Computing services, Systems integration | 1.00 | infobox |
| Datapoint | Key people | Victor Poor | 1.00 | infobox |
| Datapoint | Successor | Datapoint Corporation Dynacore Holdings Corporation Datapoint U.S.A., Inc. | 1.00 | infobox |
| Datapoint | Type | Private | 1.00 | infobox |
| LiteLink which used infra-red technology to link systems in adjacent buildings | instance of | which provided throughput of 20 Mbit/s and include options | 0.80 | text |
| Datapoint | related to Boom period: 1973-1980 | Despite | 0.60 | section |
The concept neighborhoods around Datapoint bring nearby vocabulary together. In this analysis, examples include Inc, Early and Edelman. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Datapoint, one of the stronger structural bridges in this analysis connects Datapoint with Datapoint 2200 and the Intel 8008. 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 Datapoint to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Companies, Products & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Datapoint · EN edition · Analysis: TopicsToTalkAbout