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Quicksilver is a utility app for macOS. Originally developed as proprietary freeware by Nicholas Jitkoff of Blacktree, Inc., it is now an open-source project hosted on GitHub.
History, Overview & Features
Explore the main themes, entities and connections around Quicksilver (software). 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 |
|---|---|---|---|---|
| Quicksilver (software) | Developer | Quicksilver Foundation | 1.00 | infobox |
| Quicksilver (software) | License | Apache License | 1.00 | infobox |
| Quicksilver (software) | Operating system | macOS | 1.00 | infobox |
| Quicksilver (software) | Repository | github.com/quicksilver/Quicksilver | 1.00 | infobox |
| Quicksilver (software) | Stable release | 2.6.0 / April 19, 2026 (2026-04-19) | 1.00 | infobox |
| Quicksilver (software) | Type | Application Launcher (utility software) | 1.00 | infobox |
| Quicksilver (software) | Website | qsapp.com | 1.00 | infobox |
| launching other apps | instance of | allowing users to use the keyboard to rapidly perform tasks | 0.80 | text |
| manipulating files | instance of | allowing users to use the keyboard to rapidly perform tasks | 0.80 | text |
| or sending e-mail | instance of | allowing users to use the keyboard to rapidly perform tasks | 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.