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Stellar, or Stellar Lumens (symbol: XLM), is a cryptocurrency protocol which allows transactions between any pair of currencies.
History & Companies
Explore the main themes, entities and connections around Stellar (payment network). 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.
stellar protocol development foundation network 2017 announced lumens cryptocurrency using launched 2015 platform company transactions 2014 lightyear founded stripe ibm
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Stellar (payment network) | Developer | Stellar Development Foundation | 1.00 | infobox |
| Stellar (payment network) | License | Apache License 2.0 | 1.00 | infobox |
| Stellar (payment network) | Operating system | Cross-platform | 1.00 | infobox |
| Stellar (payment network) | Original authors | Jed McCaleb | 1.00 | infobox |
| Stellar (payment network) | Original authors | Joyce Kim | 1.00 | infobox |
| Stellar (payment network) | Release | July 31, 2014; 12 years ago (2014-07-31) | 1.00 | infobox |
| Stellar (payment network) | Repository | github.com/stellar/stellar-core | 1.00 | infobox |
| Stellar (payment network) | Type | Blockchain | 1.00 | infobox |
| Stellar (payment network) | Website | stellar.org | 1.00 | infobox |
| Stellar (payment network) | Written in | C++, Rust, Go, Java, JavaScript, Python, Ruby | 1.00 | infobox |
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.