https://github.com/nickserv/buzzword-generator

Produces amusing buzzword phrases.
https://github.com/nickserv/buzzword-generator

Last synced: 23 days ago
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Produces amusing buzzword phrases.

• Host: GitHub
• URL: https://github.com/nickserv/buzzword-generator
• Owner: nickserv
• Created: 2013-11-29T21:48:27.000Z (almost 11 years ago)
• Default Branch: master
• Last Pushed: 2022-11-22T21:21:17.000Z (almost 2 years ago)
• Last Synced: 2024-08-02T11:59:09.014Z (3 months ago)
• Language: JavaScript
• Homepage: https://nickmccurdy.com/buzzword-generator/
• Size: 43.9 KB
• Stars: 8
• Watchers: 3
• Forks: 2
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

        
# [Buzzword Generator](https://nickmccurdy.com/buzzword-generator/)

[![Code Climate](https://codeclimate.com/github/thenickperson/buzzword-generator.png)](https://codeclimate.com/github/thenickperson/buzzword-generator)

Produces amusing buzzword phrases.

## Contributing

If you would like to contribute to the generator (even if you only want to

add content), feel free to fork this repository and send me a pull request.

### Config File

The generator uses a JSON config file to store buzzwords that are nouns and

buzzwords that can be used as modifiers for those nouns. When the page is

loaded, a random number of modifiers is applied to a random noun.

Nouns and modifiers are stored in `config.json`. This JSON file holds one list

of nouns and four lists of modifiers (in different categories). Here is a brief

description of the modifier categories:

- __before__: Text added to the start of the string, with a space in between.

  - Example: Super Scrum

- __after__: Text added to the end of the string, with a space in between.

  - Example: Scrum the Videogame

- __prefixes__: Text added to the start of the string, without additional spaces.

  - Example: iScrum

- __suffixes__: Text added to the end of the string, without additional spaces.

  - Example: Scrum.js

If you edit the config, please consider sorting the strings you add/edit within

each section, as this makes it easier to find specific strings and duplicates.