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IFTTT (/ɪft/, an acronym of if this, then that) is a private commercial company that runs services that allow a user to program a response to events in the world.
The analysis highlights History, Products and Companies as prominent areas in the source structure around IFTTT.
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 IFTTT shows recurring relationship patterns in the source. For example, IFTTT → Actions, APIs, Applets, Dropbox, Each, For, If This Then That, Ingredients, Instagram, RSS, Services, SMS, Sometimes, They, This, Triggers, YouTube Another extracted example is IFTTT → Alexander Tibbets, An Android, Belkin Wemo, By, December, In July, In June, Jesse Tane, July, Linden, Linden Tibbets, September, The, US. 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.
applets services actions platform users service applet triggers trigger company events private also apis linden tibbets integrate version part known
TTTA extracted 50 structured relationships around IFTTT. Examples in this analysis include IFTTT → Founded → 2010; 16 years ago (2010) and IFTTT → Founders → Linden Tibbets. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| IFTTT | Founded | 2010; 16 years ago (2010) | 1.00 | infobox |
| IFTTT | Founders | Linden Tibbets | 1.00 | infobox |
| IFTTT | Founders | Alexander Tibbets | 1.00 | infobox |
| IFTTT | Founders | Jesse Tane | 1.00 | infobox |
| IFTTT | Founders | Scott Tong | 1.00 | infobox |
| IFTTT | Headquarters | San Francisco, California, United States | 1.00 | infobox |
| IFTTT | Number of employees | 30 | 1.00 | infobox |
| IFTTT | Products | Computing platforms | 1.00 | infobox |
| IFTTT | Type | Private | 1.00 | infobox |
| IFTTT | Website | ifttt.com | 1.00 | infobox |
| YouTube or eBay | instance of | They mainly describe a series of data from a certain web service | 0.80 | text |
| IFTTT | has impact | Time | 0.60 | section |
The concept neighborhoods around IFTTT bring nearby vocabulary together. In this analysis, examples include Services, Platform and Alexander. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For IFTTT, one of the stronger structural bridges in this analysis connects IFTTT with History. 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 IFTTT to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Products & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — IFTTT · EN edition · Analysis: TopicsToTalkAbout