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Wordle is a web-based word game created and developed by Welsh software engineer Josh Wardle. In the game, players have six attempts to guess a five-letter word, receiving feedback through colored tiles that indicate correct letters and their placement. A single puzzle is released daily, with all players attempting to solve the same word. It was inspired…
History & Legacy
Explore the main themes, entities and connections around Wordle. Start with the topic map, then use the sections below for research and deeper semantic analysis.
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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.
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game times new york 2022 players word wardle also daily words game's january games puzzle 2021 clones wordle's popularity app
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Wordle | Developer | Josh Wardle | 1.00 | infobox |
| Wordle | Genre | Word game | 1.00 | infobox |
| Wordle | Mode | Single-player | 1.00 | infobox |
| Wordle | Platforms | Browser, Mobile app | 1.00 | infobox |
| Wordle | Publishers | Josh Wardle (2021–2022) The New York Times Games (since 2022) | 1.00 | infobox |
| Wordle | Release | October 2021 | 1.00 | infobox |
| Wordle | is a | web-based word game created and developed by Welsh software engineer Josh Wardle | 0.90 | text |
| Sweardle | instance of | including translations into other languages and themed variations | 0.80 | text |
| Wordle | related to Acquisition by the New York Times Company | On January | 0.60 | section |
| Wordle | related to Acquisition by the New York Times Company | New York Times Company | 0.60 | section |
| Wordle | related to Acquisition by the New York Times Company | New York Times | 0.60 | section |
| Wordle | related to Acquisition by the New York Times Company | Wardle | 0.60 | section |
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.