Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Scruff (app): History, Culture & Companies

Scruff (stylised as SCRUFF) is an American-French international social application for men seeking men that runs on iOS and Android devices. The app allows users to upload profiles and photos, and search for other members by location and shared interests. Users can directly message other users or they can use the app's "Woof" feature, which allows users…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

Scruff (app) topic overview

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

Related topics
17
Source areas
5
Connected nodes
22
Extracted relationships
5
Concept neighborhoods
8
Bridge connections
22

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.

In popular culture · 8 topics
Awards and recognition · 4 topics
Overview · 3 topics
History · 1 topics
Safety, awareness and security · 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
Perry Street Software, Inc (company)
Operating system
iOS, Android, Windows Phone
Release
July 23, 2010 (2010-07-23)
Type
Dating app

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

Awards and recognition

Safety, awareness and security

In popular culture

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 Scruff (app) connects Entity context

The extracted context around Scruff (app) shows recurring relationship patterns in the source. For example, Scruff (app) → Perry Street Software, Inc (company) Another extracted example is Scruff (app) → iOS, Android, Windows Phone. Use these groups to spot repeated connection types before inspecting the individual relationships.

Scruff (app)

Top relations

Developers · 1
Scruff (app) → Perry Street Software, Inc (company)
Operating system · 1
Scruff (app) → iOS, Android, Windows Phone
Release · 1
Scruff (app) → July 23, 2010 (2010-07-23)
Type · 1
Scruff (app) → Dating app
Website · 1
Scruff (app) → scruff.com

Important terminology

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

Important terminology

scruff app users members company allows ios android 2018 woof feature profile 2019 safety eric silverberg international photos countries also

Scruff (app) relationships Subject–Predicate–Object triples

TTTA extracted 5 structured relationships around Scruff (app). Examples in this analysis include Scruff (app) → Developers → Perry Street Software, Inc (company) and Scruff (app) → Operating system → iOS, Android, Windows Phone. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Scruff (app)DevelopersPerry Street Software, Inc (company)1.00infobox
Scruff (app)Operating systemiOS, Android, Windows Phone1.00infobox
Scruff (app)ReleaseJuly 23, 2010 (2010-07-23)1.00infobox
Scruff (app)TypeDating app1.00infobox
Scruff (app)Websitescruff.com1.00infobox

Related concept clusters Concept neighborhoods

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

  • Scruff (app)
    • Members
    • Company
    • Android
    • Ios
    • App
    • Scruff
    • Users
    • Eric
    • Safety
    • Silverberg
    • Features
    • Ceo
  • scruff (app)
    • Members
    • Users
    • Company
    • Android
    • Ios
    • App
    • Scruff
    • Eric
    • Safety
    • Silverberg
    • Features
    • Ceo
  • android
    • Ios
    • Men
    • Dating
    • International
    • Safety
    • Company
    • Features
    • Seeking
    • Also
    • Ceo
    • Concerns
    • Countries
  • ios
    • Android
    • Men
    • Dating
    • Safety
    • Company
    • Features
    • Seeking
    • Also
    • Ceo
    • Concerns
    • Countries
    • Venture
  • men seeking men
    • Android
    • Ios
    • Seeking
    • Use
    • Concerns
    • Countries
    • Dating
    • Feature
    • Safety
    • Company
    • Scruff
    • Members
  • international lesbian, gay, bisexual, trans and intersex association
    • Men
    • Android
    • Ios
    • Seeking
    • Concerns
    • Countries
    • Dating
    • Scruff
    • Feature
    • Safety
    • Company
    • Members
  • delhi international queer theater and film festival
    • Men
    • Android
    • Ios
    • Seeking
    • Concerns
    • Countries
    • Dating
    • Scruff
    • Feature
    • Safety
    • Company
    • Members
  • safety, awareness and security
    • Company
    • Ceo
    • Concerns
    • Dating
    • Eric
    • Silverberg
    • Scruff
    • Based
    • Privacy
    • Said
    • User
    • Venture

Connections between topic areas Semantic bridges

For Scruff (app), one of the stronger structural bridges in this analysis connects Scruff (app) with In popular culture. 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
Scruff (app) — In popular culture · splits 14 ⟂ 9
Scruff (app) — Awards and recognition · splits 18 ⟂ 5
Scruff (app) — Overview · splits 19 ⟂ 4

Map overview Semantic statistics

Scruff (app)

Nodes23
Edges22
Triples5
Avg. degree1.91
Density0.086957
Components1

Source & methodology

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

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

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.