https://github.com/lizadaly/there-are-stars

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lizadaly / there-are-stars Public

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A self-generating story that gets longer the more stars it gets

lizadaly.github.io/there-are-stars/

License

Unlicense license
207 stars 1 fork
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lizadaly/there-are-stars

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Latest commit

@lizadaly
lizadaly Merge pull request #2 from jarv/patch-1
...
3d7e241 Nov 25, 2022
Merge pull request #2 from jarv/patch-1

fix typo in readme

3d7e241

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  * 23 commits

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.github/workflows
Speed up the refresh while folks are looking at it
Nov 22, 2022
data
Designs
Nov 21, 2022
.gitignore
Stars story
Nov 20, 2022
LICENSE
Initial commit
Nov 20, 2022
README.md
fix typo in readme
Nov 25, 2022
app.py
Reset star count
Nov 21, 2022
index.jinja
Use a different relative date format
Nov 22, 2022
poetry.lock
Stars story
Nov 20, 2022
pyproject.toml
Update scheduling and README
Nov 21, 2022
View code
There are stars: A story How to participate

README.md

 There are stars: A story

A collaborative narrative told through Github and automation. An
entry in National Novel Generation Month 2022.

The story: https://lizadaly.github.io/there-are-stars/

 How to participate

Every time someone stars this repository, a new character joins the
story. The story is regenerated every 10 minutes.

The story code will use a hash of the username who starred the
repository to generate a consistent random seed so each time the
story re-generates, the characters and their attributes remain the
same. The story does not otherwise use any information about users
who interact with the repository.

If you have starred the repository and you un-star it, the character
representing you will disappear the next time the story is
regenerated.

About

A self-generating story that gets longer the more stars it gets

lizadaly.github.io/there-are-stars/

Topics

generative-art nanogenmo nanogenmo2022 digital-fiction

Resources

Readme

License

Unlicense license

Stars

207 stars

Watchers

2 watching

Forks

1 fork

Contributors 2

  * @lizadaly lizadaly Liza Daly
  * @jarv jarv John Jarvis

Languages

  * Jinja 65.7%
  * Python 34.3%

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