Why I Built This

While preparing for system design interviews, I realized that the best way to understand distributed systems isn't just reading textbooks — it's seeing how companies like Netflix, Uber, and Stripe actually solve real problems at scale.

I started reading engineering blogs religiously. But keeping track of articles across a dozen different blogs, remembering which ones were relevant to which concepts, and connecting them back to interview topics became its own challenge.

So I built Distributed Readings — a personal tool that automatically aggregates engineering blog posts, uses AI to extract the key system design concepts, and gives me a clean place to take notes and track my learning.

How It Works

1
Fetch

RSS feeds from 12+ engineering blogs are checked weekly for new posts.

2
Analyze

Claude AI reads each article and extracts the core problem, solution approach, and system design concepts.

3
Read & Learn

Articles appear here with summaries, tags, and space for personal notes — connecting real-world engineering to interview concepts.

Tech Stack

Python Flask SQLite Claude AI RSS / Playwright Nginx AWS EC2

Sources

Currently tracking engineering blogs from:

Netflix Airbnb Uber LinkedIn Stripe Meta Cloudflare AWS Dropbox Spotify DoorDash Shopify
Built with care by Tejaswini