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DOWN (app): History & Companies

DOWN is a location-based social networking and online dating application for users looking for casual relationships and hookups. Users can swipe up for more serious dating, swipe down for casual hookups, or left to pass, and continue to the next profile. DOWN bills itself as an open-minded, sex-positive alternative to other dating apps.

Language: English [EN]
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DOWN (app) topic overview

The analysis highlights History and Companies as prominent areas in the source structure around DOWN (app).

Related topics
28
Source areas
2
Connected nodes
30
Extracted relationships
7
Concept neighborhoods
12
Bridge connections
30

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 · 21 topics
Overview · 7 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
2013; 13 years ago (2013)
Founders
Colin Hodge · Omri Mor
Industry
Software
Area served
Global
CEO
Colin Hodge
URL
www.downapp.com

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

History

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How DOWN (app) connects Entity context

The extracted context around DOWN (app) shows recurring relationship patterns in the source. For example, DOWN (app) → Colin Hodge, Omri Mor Another extracted example is DOWN (app) → Global. Use these groups to spot repeated connection types before inspecting the individual relationships.

DOWN (app)

Top relations

Founders · 2
DOWN (app) → Colin Hodge, Omri Mor
Area served · 1
DOWN (app) → Global
CEO · 1
DOWN (app) → Colin Hodge
Founded · 1
DOWN (app) → 2013; 13 years ago (2013)
Industry · 1
DOWN (app) → Software
URL · 1
DOWN (app) → www.downapp.com

Important terminology

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

Important terminology

bang friends 2013 users dating app casual hodge company million colin facebook zynga launched first social online like name hookups

DOWN (app) relationships Subject–Predicate–Object triples

TTTA extracted 7 structured relationships around DOWN (app). Examples in this analysis include DOWN (app) → Area served → Global and DOWN (app) → CEO → Colin Hodge. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
DOWN (app)Area servedGlobal1.00infobox
DOWN (app)CEOColin Hodge1.00infobox
DOWN (app)Founded2013; 13 years ago (2013)1.00infobox
DOWN (app)FoundersColin Hodge1.00infobox
DOWN (app)FoundersOmri Mor1.00infobox
DOWN (app)IndustrySoftware1.00infobox
DOWN (app)URLwww.downapp.com1.00infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around DOWN (app) bring nearby vocabulary together. In this analysis, examples include Apple, Facebook and Store. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • online dating application
    • Looking
    • Casual
    • Users
    • Apps
    • Hookups
    • Location-based
    • Swipe
    • Coverage
    • Discussion
    • Online
    • Social
    • App
  • DOWN (app)
    • Apple
    • Facebook
    • Store
    • Casual
    • Web
    • Dating
    • Name
    • New
    • Online
    • Users
    • Friends
    • Bang
  • down (app)
    • Apple
    • Facebook
    • Store
    • Casual
    • Web
    • Dating
    • Name
    • New
    • Online
    • Users
    • Friends
    • Bang
  • apple app store
    • Store
    • Apple
    • Facebook
    • Web
    • Casual
    • Dating
    • Name
    • New
    • Online
    • Users
    • Friends
    • Launched
  • casual sex
    • Dating
    • Hookups
    • Looking
    • Users
    • Facebook
    • Online
    • App
    • Find
    • Founded
    • Location-based
    • Profile
    • Swipe
  • words with friends
    • Zynga
    • Name
    • Late
    • Lawsuits
    • Words
    • First
    • Million
    • Changed
    • Web
    • Colin
    • Coverage
    • Entertainment
  • social networking
    • Apps
    • Changed
    • Looking
    • Swipe
    • Words
    • Colin
    • Discussion
    • Like
    • Sxsw
    • Zynga
    • Hodge
    • Users
  • facebook
    • Web
    • Find
    • Founded
    • Apple
    • Name
    • New
    • Store
    • Friends
    • Launched
    • Company

Connections between topic areas Semantic bridges

For DOWN (app), one of the stronger structural bridges in this analysis connects DOWN (app) 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
DOWN (app) — History · splits 9 ⟂ 22
DOWN (app) — Overview · splits 23 ⟂ 8

Map overview Semantic statistics

DOWN (app)

Nodes31
Edges30
Triples7
Avg. degree1.94
Density0.064516
Components1

Source & methodology

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

Source: Wikipedia — DOWN (app) · EN edition · Analysis: TopicsToTalkAbout

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