Awesome: Curated Lists
Create curated lists of interesting resources on various topics.
Automations like: a list of recommended APIs for a new mobile app project based on industry trends.
It helps you surface relevant information from a vast amount of online content, saving time and increasing productivity for founders and developers.
"A founder wanting to create a list of best practices for mobile app security uses Awesome to find relevant information and organize it into an easy-to-digest list. They first search for the topic, then select articles to include, and finally, curate the content into a useful resource."
A beginner should use this when looking for inspiration or resources on a specific topic, such as a new project or idea.
A senior developer or founder should use this when seeking a quick and efficient way to research and curate information for a project or business.
This skill is not for generating new content but rather finding and curating existing resources on the internet.
Awesome lists is a repository of curated lists about various interesting topics, allowing founders to discover new resources and tools.
Since Awesome lists is a GitHub repository, you can access it directly at https://github.com/sindresorhus/awesome without needing to install anything- โขWhen researching new technologies or frameworks for your startup
- โขWhen looking for inspiration or ideas for your next project
- โขWhen trying to stay up-to-date with the latest trends and developments in your industry
- 1Browse the README file to explore the various categories of lists, such as programming languages, frameworks, and databases
- 2Click on a list that interests you, such as 'awesome-javascript' or 'awesome-python', to view its contents
- 3Use the table of contents or search function to find specific topics or tools within a list
- 4Contribute to the repository by submitting a pull request to add a new list or update an existing one
- 5Star the repository to stay updated on new additions and changes
Open the 'awesome-machine-learning' list to discover new resources and tools for your machine learning project: https://github.com/sindresorhus/awesome#machine-learning
Topics
Awesome: Curated Lists is a tiny project (~20 lines across 1 code files). Setup is light: install the runtime, run one command. Last commit 2 months ago, CC0-1.0 license, no tests found.
- 1readme.mdStart here โ what it does and how to install it
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