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MORE (application): Products, Reception & Functions

MORE is an outline processor application that was created for the Macintosh in 1986 by software developer Dave Winer and that was not ported to any other platforms. An earlier outliner, ThinkTank, was developed by Winer, his brother Peter, and Doug Baron for Apple II, Apple III, IBM PC compatiblesl then ported by Peter to the Macintosh.

Language: English [EN]
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MORE (application) topic overview

The analysis highlights Products, Reception and Functions as prominent areas in the source structure around MORE (application).

Related topics
12
Source areas
3
Connected nodes
15
Extracted relationships
6
Related term clusters
11
Bridge connections
15

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.

Overview · 8 topics
Reception · 3 topics
Functions · 1 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.

Developers
Dave Winer Living Videotext
License
Proprietary; later rereleased as freeware
Operating system
Classic Mac OS
Release
1986; 40 years ago (1986)
Type
Outliner

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MORE (application)

Explore all related topics Closing gaps

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.

Overview

Functions

Reception

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How MORE (application) connects Entity context

The extracted context around MORE (application) shows recurring relationship patterns in the source. For example, MORE (application) → Dave Winer Living Videotext Another extracted example is MORE (application) → Proprietary; later rereleased as freeware. Use these groups to spot repeated connection types before inspecting the individual relationships.

MORE (application)

Top relations

Developers · 1
MORE (application) → Dave Winer Living Videotext
License · 1
MORE (application) → Proprietary; later rereleased as freeware
Operating system · 1
MORE (application) → Classic Mac OS
Release · 1
MORE (application) → 1986; 40 years ago (1986)
Type · 1
MORE (application) → Outliner
Website · 1
MORE (application) → outliners.scripting.com

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

winer outline products outliner living videotext thinktank macintosh 1986 dave 1987 processor ported around could july outliners application one outlines

MORE (application) relationships Subject–Predicate–Object triples

TTTA extracted 6 structured relationships around MORE (application). Examples in this analysis include MORE (application) → Developers → Dave Winer Living Videotext and MORE (application) → License → Proprietary; later rereleased as freeware. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
MORE (application)DevelopersDave Winer Living Videotext1.00infobox
MORE (application)LicenseProprietary; later rereleased as freeware1.00infobox
MORE (application)Operating systemClassic Mac OS1.00infobox
MORE (application)Release1986; 40 years ago (1986)1.00infobox
MORE (application)TypeOutliner1.00infobox
MORE (application)Websiteoutliners.scripting.com1.00infobox

Related concept clusters Related term clusters

The concept neighborhoods around MORE (application) bring nearby vocabulary together. In this analysis, examples include Dave, Created and Developer. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • dave winer
    • Com
    • Create
    • Dave
    • Winer
    • Outliners
    • Application
    • Macintosh
    • Ported
    • Developer
    • Outliner
    • Platforms
    • Software
  • outline processor application
    • Dave
    • Processor
    • Created
    • Developer
    • Platforms
    • Software
    • Winer
    • Around
    • Com
    • Create
    • Functions
    • Macintosh
  • macintosh
    • Ported
    • Apple
    • Baron
    • Brother
    • Developed
    • Developer
    • Doug
    • Earlier
    • Ibm
    • Ii
    • Iii
    • Pc
  • MORE (application)
    • Dave
    • Created
    • Developer
    • Platforms
    • Software
    • Winer
    • Com
    • Create
    • Functions
    • Macintosh
    • Ported
    • Processor
  • more (application)
    • Dave
    • Created
    • Developer
    • Platforms
    • Software
    • Winer
    • Com
    • Create
    • Functions
    • Macintosh
    • Ported
    • Processor
  • apple ii
    • Baron
    • Brother
    • Developed
    • Doug
    • Earlier
    • Ibm
    • Ii
    • Iii
    • Pc
    • Peter
    • Macintosh
    • Ported
  • apple iii
    • Baron
    • Brother
    • Developed
    • Doug
    • Earlier
    • Ibm
    • Ii
    • Iii
    • Pc
    • Peter
    • Macintosh
    • Ported
  • living videotext
    • Videotext
    • Functions
    • Outliners
    • Symantec
    • Among
    • Com
    • Create
    • July
    • One
    • Outliner
    • Products
    • Thinktank

Connections between topic areas Semantic bridges

For MORE (application), one of the stronger structural bridges in this analysis connects MORE (application) 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.

Min side: 3
MORE (application) — Overview · splits 7 ⟂ 9
MORE (application) — Reception · splits 12 ⟂ 4

Map overview Semantic statistics

MORE (application)

Nodes16
Edges15
Triples6
Avg. degree1.88
Density0.125
Components1

Source & methodology

TTTA analyzes the structure around MORE (application) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Products, Reception & Functions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — MORE (application) · EN edition · Analysis: TopicsToTalkAbout

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