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๐Ÿ‘ฉโ€๐Ÿš€ A publishing platform. An open-source alternative to Medium.

License: MIT License

JavaScript 11.80% Elixir 85.05% HTML 0.39% Shell 0.90% Python 0.94% TypeScript 0.12% Dockerfile 0.81%
absinthe apollo blogs docker ecto elixir graphql kubernetes machine-learning medium notifications phoenix react redux

margaret's People

Contributors

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margaret's Issues

Improve the the way the project is documented

Hello here,

I would like to contribute to this project. So, I tried to follow the current documentation (various .md files in the project) but I was unable to run the application (e.g. if a database is required, or other setup information) or to run all the tests (what I see is that there are no tests at all, in the api project for example.)

Without tests it can be very difficult to change the code, maintain it or add a new feature.

So, in order to contribute I think it could be useful to put these information somewhere (maybe the main README.md can be the right place?).

I see that the project can use Docker. The way to use docker-compose or to use Docker in order to run the application can be documented, too. For example if a were a developer that wants to run the application locally, it could be very useful.

What do you think?

Other nice-to-have improvements for the project

  • Maybe a Gitter chat room can be useful to talk about the project
  • Maybe a TravisCI can be useful to setup a Continuous Integration process.

Automate Elixir dependency updates

Hey, I noticed you were using Renovate for automated JavaScript updates, and wondered if you'd be up for giving Dependabot a go for automated Elixir dependency updates. I built it, and it's totally free for open source projects (and always will be) - I'm just trying to get more people using it. :octocat:

Logo design for margaret

Hello! I am a graphic designer. I want to contribute to margaret. Do you want me to design a logo for the margaret? Actually, i have an idea. If you have an idea, you can say me.

Recommendation system

This would be a good use case for a model for each user to learn about their patterns of viewing, commenting and other things to recommend more accurate stories.

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