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slrn is a console-based news client for multiple operating systems, developed by John E. Davis and others. It was originally developed in 1994 for Unix-like operating systems and VMS, and now also supports Microsoft Windows. It supports scoring rules to highlight, sort or kill articles based on information from their header. It is customizable, allows…
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Explore the main themes, entities and connections around Slrn. 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.
s-lang operating release free news unix-like systems developed john davis others now supports using language development also 1994 microsoft windows
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Slrn | License | GPL-2.0-or-later | 1.00 | infobox |
| Slrn | Operating system | Cross-platform (Unix-like, Microsoft Windows) | 1.00 | infobox |
| Slrn | Release | 1994; 32 years ago (1994) | 1.00 | infobox |
| Slrn | Type | News reader | 1.00 | infobox |
| Slrn | Website | slrn.info | 1.00 | infobox |
| Slrn | Written in | C | 1.00 | infobox |
| Slrn | is a | console-based news client for multiple operating systems | 0.90 | text |
| Slrn | related to External links | SourceForge | 0.60 | section |
| Slrn | related to Name | The | 0.60 | section |
| Slrn | related to Name | S-Lang | 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.