railsdevs.com VS awesome-readme

I'm also building a reverse job board for AI developers like me to find full-time, part-time or contract work. Developers can make a free profile to promote their AI/ML skills and hiring companies can search the profiles and contact developers through the platform. It's an open-source open startup that's a fork of a similar project for rails developers.

railsdevs.com - Specific to Ruby on Rails

Other than reading, the best way to learn domain modeling is to read a lot of code, e.g. Rails codebase (to learn how to model the domain of web applications) or open source repositories (a good one is Railsdevs). Over time, you'll find and understand the common patterns enough to use on your own.

To find a freelance, it could depend on your location. There are https://www.malt.uk, https://railsdevs.com

Rails Devs - https://railsdevs.com/ - create and businesses reach out.

So far I've been using the Rails Guides on testing and studying the source code of railsdevs.com. Any guidance is greatly appreciated, thank you in advance!

Hey, I totally agree with you. Linking to the entire newsletter can be quite overwhelming and comes off as spammy. It would be great if you included the specific links to the tweet or the GitHub repo mentioned in the newsletter. The links you provided, https://twitter.com/joemasilotti/status/1639261944652914688 and https://github.com/joemasilotti/railsdevs.com/which, are definitely more helpful and provide a better user experience. Thanks for sharing!

RailsDevs - Rails dev specific

I recommend Joe Masilotti's project: RailsDevs. Very well-written and follows most of the Rails best practices. It also uses the Rails recommended front-end stack with Hotwire, Tailwind, etc.

About user-statistician

The user-statistician GitHub Action can generate an SVG with a detailed summary of your activity on GitHub. It is mentioned in the tools section of the awesome README awesome list. The SVG it generates includes general information about you (e.g., year you joined, number of followers, number you are following, most starred repository, etc), information about your repositories (e.g., numbers of stars and forks, etc), information about your contributions (e.g., numbers of commits, issues, PRs, etc), and the distribution of languages within your public repositories.

If you really want a stellar README.md take a look at some of the examples in awesome-readme for inspiration!

Awesome README - A collection of high-quality READMEs from a variety of projects, organized by topic. https://github.com/matiassingers/awesome-readme

Provide a succinct and comprehensive README: readers of your personal project will always start with the README to know where to begin. The goal of the README is to provide the reader an understanding of the business problem you are trying to solve, how your solution goes about solving it (solution architecture diagram), and how to get started and run your code. There are plenty of great README examples here: https://github.com/matiassingers/awesome-readme

About user-statistician

Recently, the user-statistician GitHub Action was added to the tools section of Awesome README, which is an Awesome List that includes a curated collection of examples of Awesome READMEs from open source projects, as well as tools enabling creating Awesome READMEs. The Awesome README list is a great place to go if you are looking for ideas for how to improve the READMEs of your open source projects. The Awesome README list covers READMEs more generally, but the tools section includes a few tools focused on Profile READMEs, in addition to many tools for project READMEs more generally. The user-statistician GitHub Action is in the Tools Section.