What I Learned Building 400+ Repositories
A reflection on building 400+ repositories, focusing on patterns, mistakes, and what actually scales in long-term systems and open knowledge projects.
Introducing Data & Analytics as a First-Class Category in Awesome Lists
An analytical explanation of why Data & Analytics is being introduced as a first-class category in Awesome Lists, and what this shift reveals about modern systems, governance, and long-term knowledge infrastructure.
How Awesome Learn Complements Awesome Lists
An analysis of how Awesome Learn complements Awesome Lists by separating discovery from understanding, and why this layered approach supports clarity, credibility, and sustainable open knowledge.
Why I Treat Curation as Infrastructure, Not Content
Why I treat curation as infrastructure, not content. An essay on Awesome Lists, editorial judgment, maintenance, and building durable public reference points in an Internet shaped by noise, algorithms, and information overload.