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bayandin/awesome-awesomeness

33,434RubyAudience · generalComplexity · 1/5StaleSetup · easy

TLDR

A curated directory of curated lists, find the best community-maintained resource collections for any programming language, framework, or tech topic.

Mindmap

mindmap
  root((repo))
    What it does
      Meta-list of lists
      Discovery shortcut
      Community vetted
    Content
      Programming languages
      Frameworks and tools
      Infrastructure topics
      General tech areas
    Use cases
      Learn new language
      Explore new topic
      Find best resources
    How to use
      Browse categories
      Click to resource
      No installation

Things people build with this

USE CASE 1

Start learning a new programming language like Rust or Go by finding the community's best curated resource list.

USE CASE 2

Discover top tools and libraries in an unfamiliar ecosystem without wading through search results.

USE CASE 3

Find vetted tutorials and guides for emerging topics like machine learning, blockchain, or security.

Tech stack

Markdown

Getting it running

Difficulty · easy Time to first run · 5min
License could not be detected automatically. Check the repository's LICENSE file before use.

In plain English

Awesome Awesomeness is a curated meta-list, a collection of other "awesome" lists. The "awesome" list format is a popular GitHub convention where someone maintains a large, organized collection of links to the best tools, tutorials, and resources in a particular domain. Awesome Awesomeness is a directory of those directories: a single place to find the best such lists across programming languages, development topics, and general technology areas. The problem it solves is discovery. When you want to explore a new programming language like Rust, Elixir, or Go, or a topic like machine learning, security, or blockchain, instead of searching the internet from scratch, you can come here and find a pre-vetted starting point, a community-maintained list of the best resources in that area. The repo itself is simply a large, categorized Markdown document with hundreds of links. There is no code to run, no program to install. Categories include programming languages (Ada, C, Go, Python, Ruby, Rust, TypeScript, and many more), frameworks (React, Node.js, Angular), infrastructure topics (AWS, Docker, Kubernetes), and general areas like algorithms, machine learning, security, and APIs. Each entry links to a dedicated GitHub repository maintained by someone in that community. You would use this when you are starting to learn something new and want to know what the community considers the canonical resource list, or when you are looking for libraries and tools in an unfamiliar ecosystem and want a vetted shortcut past the noise. The repository is listed as Ruby in GitHub because the project was originally scaffolded using Ruby tooling, but the core artifact is just Markdown, no runtime environment is required.

Copy-paste prompts

Prompt 1
I want to learn Rust. Use awesome-awesomeness to find the best curated list of Rust resources and tell me what's in it.
Prompt 2
Show me how to navigate awesome-awesomeness to find lists for Docker, Kubernetes, and AWS infrastructure.
Prompt 3
I'm exploring machine learning for the first time. Use awesome-awesomeness to point me to the canonical ML resource list.
Prompt 4
Help me use awesome-awesomeness to compare resource lists across three programming languages I'm considering learning.
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Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.