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Hinge is an American online dating application. The app displays potential matches one at a time and allows the user to dismiss or attempt to match by responding to a specific piece of information on the other's profile. The service emphasizes uploading user-generated material in a variety of formats, such as photos, videos, voice recordings, and…
History & Companies
Explore the main themes, entities and connections around Hinge (app). Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. 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.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Hinge (app) | Developer | Match Group | 1.00 | infobox |
| Hinge (app) | License | Proprietary software with Terms of Use | 1.00 | infobox |
| Hinge (app) | Operating system | iOS, Android | 1.00 | infobox |
| Hinge (app) | Original authors | Justin McLeod (Founder, CEO) | 1.00 | infobox |
| Hinge (app) | Release | 2012; 14 years ago (2012) | 1.00 | infobox |
| Hinge (app) | Type | Dating app | 1.00 | infobox |
| Hinge (app) | Website | hinge.co | 1.00 | infobox |
| height | instance of | Hinge allows users to filter potential matches based on traits | 0.80 | text |
| ethnicity | instance of | Hinge allows users to filter potential matches based on traits | 0.80 | text |
| and religion | instance of | Hinge allows users to filter potential matches based on traits | 0.80 | text |
| getting roasted in a campfire | instance of | the app's mascot Hingie is shown being destroyed in various ways | 0.80 | text |
| encased in ice | instance of | the app's mascot Hingie is shown being destroyed in various ways | 0.80 | text |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.