Sinclair Research Ltd was a British consumer electronics company founded by Clive Sinclair in Cambridge in the 1970s. In 1980, the company entered the home computer market with the ZX80 at £99.95 (equivalent to £429 in 2025), at that time the cheapest personal computer for sale in the United Kingdom. A year later, the ZX81 became available through…
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Sinclair Research topic overview
The analysis highlights History, Measurement, Companies and Products as prominent areas in the source structure around Sinclair Research.
Related topics
100
Source areas
3
Connected nodes
103
Extracted relationships
93
Concept neighborhoods
38
Bridge connections
103
What this topic covers Research coverage
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.
History · 54 topics
Products · 35 topics
Overview · 11 topics
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.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Founded
Cambridge, England, UK (1973; 53 years ago (1973))[disputed – discuss]
Industry
Computing Electronics
Headquarters
London, UK
Defunct
October 14, 2025; 10 months ago (2025-10-14)
Founder
Clive Sinclair
Key people
Nigel Searle, Director (1979 to 1986) Jim Westwood Rick Dickinson, Designer
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
How Sinclair Research connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Sinclair Research shows recurring relationship patterns in the source. For example, Sinclair Research → Barker, Cambridge, Cambridgeshire County Council, Clive Sinclair, December, Following Sinclair's, In, In April, In February, In July Timex, In March, January, March, Science, Sinclair Computers, Sinclair Research Ltd, Sinclair ZX80, Sinclair ZX81, Sinclair's, The Another extracted example is Sinclair Research → Advertising Standards Authority, Apple Macintosh, Especially, February, Fully, In, It, January, May, QL, QLs, Sinclair, Sinclair's, Spectrums, The QL, The Sinclair QL, Your Sinclair. Use these groups to spot repeated connection types before inspecting the individual relationships.
Sinclair Research
Top relations
related to Commercial success and home computers· 29
Sinclair Research → Barker, Cambridge, Cambridgeshire County Council, Clive Sinclair, December, Following Sinclair's, In, In April, In February, In July Timex, In March, January, March, Science, Sinclair Computers, Sinclair Research Ltd, Sinclair ZX80, Sinclair ZX81, Sinclair's, The
related to Mid-1980s developments· 17
Sinclair Research → Advertising Standards Authority, Apple Macintosh, Especially, February, Fully, In, It, January, May, QL, QLs, Sinclair, Sinclair's, Spectrums, The QL, The Sinclair QL, Your Sinclair
related to Amstrad acquisition of assets· 16
Sinclair Research → Acorn Computers, Although, August, Given, Hollis Brothers, However, In June, March, May, On, Oric, Pergamon Press, Prism, Robert Maxwell, Sinclair's, Sir Clive
related to Cancelled projects· 13
Sinclair Research → GUI, It, LC3, Low Cost Colour Computer, Martin Brennan, November, QL, RAM, ROM, Standing, Steve Berry, The, Z80-based
Sinclair Research relationships Subject–Predicate–Object triples
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 93 structured relationships around Sinclair Research. Examples in this analysis include Sinclair Research → Defunct → October 14, 2025; 10 months ago (2025-10-14) and Sinclair Research → Founded → Cambridge, England, UK (1973; 53 years ago (1973))[disputed – discuss]. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Sinclair Research
Defunct
October 14, 2025; 10 months ago (2025-10-14)
1.00
infobox
Sinclair Research
Founded
Cambridge, England, UK (1973; 53 years ago (1973))[disputed – discuss]
1.00
infobox
Sinclair Research
Founder
Clive Sinclair
1.00
infobox
Sinclair Research
Headquarters
London, UK
1.00
infobox
Sinclair Research
Industry
Computing Electronics
1.00
infobox
Sinclair Research
Key people
Nigel Searle, Director (1979 to 1986) Jim Westwood Rick Dickinson, Designer
1.00
infobox
Sinclair Research
Number of employees
140 (1980s) 3 (1990) 1 (1997)
1.00
infobox
Sinclair Research
Products
Sinclair ZX Spectrum Sinclair QL
1.00
infobox
Sinclair Research
Revenue
£102 million GBP (1985)
1.00
infobox
Sinclair Research
Type
Limited company
1.00
infobox
Sinclair's competitor Oric
instance of
and other companies
0.80
text
distributor Prism entering receivership
instance of
and other companies
0.80
text
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Sinclair Research bring nearby vocabulary together. In this analysis, examples include Company, Ltd and Sinclair. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Sinclair Research
Company
Ltd
Sinclair
Clive
Cambridge
Computer
Computers
Year
Amstrad
January
Launched
Commercial
sinclair research
Company
Ltd
Sinclair
Clive
Development
Computers
Cambridge
Computer
Zx80
Year
Amstrad
January
clive sinclair
Cambridge
Company
Ltd
Sinclair's
Research
Spectrum
Zx
Computers
Year
Home
January
New
cambridge
Ltd
Clive
Computer
Zx80
Amstrad
Microcomputer
Research
Sold
Company
Computers
Sinclair
January
home computer
Zx80
Amstrad
Sold
Home
Television
Zx
Later
Products
Released
Research
Zx81
Available
sinclair ql
Tv80
Sinclair's
Computers
Year
Commercial
Development
January
Products
Name
Launched
Sinclair
Timex
sinclair radionics ltd.
Cambridge
Research
Company
Zx80
Clive
Sinclair
Computers
Name
Year
January
Launched
Commercial
shelf company
Research
Ltd
Clive
Name
Zx80
Products
Sinclair
Cambridge
Home
Amstrad
Development
January
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Sinclair Research, one of the stronger structural bridges in this analysis connects Sinclair Research 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.
Min side: 3
Sinclair Research — History· splits 49 ⟂ 55Sinclair Research — Products· splits 68 ⟂ 36Sinclair Research — Overview· splits 92 ⟂ 12
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Sinclair Research
Nodes104
Edges103
Triples93
Avg. degree1.98
Density0.019231
Components1
Source & methodology
TTTA analyzes the structure around Sinclair Research to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Measurement, Companies & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
