Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Flirtomatic was an online flirting and social networking service for people connected to the Internet via mobile phone or PC. Operated by Handmade Mobile Entertainment, Flirtomatic was named the number one mobile dating site in the U.S. in a study by the mobile measurement company Ground Truth.
The analysis highlights History, Measurement and Companies as prominent areas in the source structure around Flirtomatic.
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 Flirtomatic shows recurring relationship patterns in the source. For example, Flirtomatic → Avi Azulai, Azulai, CEO, Curtis, Fjord, Flirtograms, How, July, June, London Stock Exchange-listed, Mark Curtis, Neil Goldberg, Nokia, Some, Supersnogs, The, There's, We're, WeLoveBusiness, When Another extracted example is Flirtomatic → Cambridge, Europe, Guardian's Tech Media Invest, In September, Library House, The Mediatech, Top, UK. 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.
mobile users service company dating services flirting 2010 entertainment online members one percent million azulai number available advertising iphone curtis
TTTA extracted 56 structured relationships around Flirtomatic. Examples in this analysis include Flirtomatic → Area served → United Kingdom, Germany, Australia, Spain, Italy, Ireland, and United States and Flirtomatic → Founded → (2005 (2005)). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Flirtomatic | Area served | United Kingdom, Germany, Australia, Spain, Italy, Ireland, and United States | 1.00 | infobox |
| Flirtomatic | Founded | (2005 (2005)) | 1.00 | infobox |
| Flirtomatic | Founder | Avi Azulai, Mark Curtis | 1.00 | infobox |
| Flirtomatic | Headquarters | London, United Kingdom | 1.00 | infobox |
| Flirtomatic | Industry | Social networking service | 1.00 | infobox |
| Flirtomatic | Key people | Avi Azulai (Chairman), Neil Goldberg (CEO), James Stockton (CFO), | 1.00 | infobox |
| Flirtomatic | Number of employees | 36 | 1.00 | infobox |
| Flirtomatic | Number of locations | Los Angeles, U.S. | 1.00 | infobox |
| Flirtomatic | Owner | Handmade Mobile Entertainment, Ltd. | 1.00 | infobox |
| Flirtomatic | Type | Private | 1.00 | infobox |
| Flirtomatic | Website | www.flirtomatic.com | 1.00 | infobox |
| Fiat | instance of | MetroPCS and ninemsn and has attracted mobile advertising from companies | 0.80 | text |
The concept neighborhoods around Flirtomatic bring nearby vocabulary together. In this analysis, examples include Mobile, Users and Percent. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Flirtomatic, one of the stronger structural bridges in this analysis connects Flirtomatic 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.
TTTA analyzes the structure around Flirtomatic to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Measurement & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Flirtomatic · EN edition · Analysis: TopicsToTalkAbout