mrinalxdev

mrinalxdev / my-reads

Public

Listing out all the best technical blogs company wise

124
6
100% credibility
Found Feb 17, 2026 at 90 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A personal curated list of engineering blog posts from companies like Netflix, Uber, and Airbnb, focused on architecture, scalability, and infrastructure best practices.

How It Works

1
🔍 Discover the reading list

You search for insights into how big tech companies build their systems and find this handy collection of blog recommendations.

2
📂 Explore by company

You browse the organized sections featuring Netflix, Uber, Airbnb, and more, each with handpicked articles on real-world engineering.

3
💡 Pick your favorites

You spot exciting topics like streaming tech or scalable architectures and feel inspired to dive deeper.

4
📖 Start reading

You click on a link and enjoy learning from top engineers about handling massive scale and clever solutions.

5
🧠 Gain new insights

As you read more articles, you build a stronger understanding of system design and big-company tricks.

🎉 Master the concepts

You finish with fresh intuition for designing reliable systems, ready to apply what you've learned anywhere.

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Star Growth

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AI-Generated Review

What is my-reads?

My-reads is a curated directory listing on GitHub of top engineering blogs from companies like Netflix, Uber, Airbnb, Hotstar, and Dropbox, grouped by firm and topics such as microservices, streaming, and infrastructure. It lists out detailed posts on real-world challenges like load shedding, pub-sub at scale, and Postgres deadlocks, helping devs quickly find insights into scalable systems without endless searching. Delivered as a clean Markdown reading list, it's your go-to spot for building system design intuition.

Why is it gaining traction?

Unlike scattered blog aggregators, this stands out with tight curation from admired products, focusing on actionable trade-offs like API resilience or cross-shard transactions—perfect for listing outcomes in interviews. Developers grab it for the no-fluff links to battle-tested architectures, saving hours over generic feeds. With 82 stars, it's hooking those listing GitHub resources on resumes for quick, high-signal reads.

Who should use this?

System design interview preppers scanning Netflix Conductor or Uber's API gateway. Backend engineers tackling scaling woes, like Hotstar's 50M pub-sub or Discord's image resizing. Infra curious devs listing out probability outcomes in distributed logs or Dropbox's DNS balancing.

Verdict

Bookmark it for targeted tech blog discovery—solid curation punches above its 82 stars and 1.0% credibility score. Still early maturity with just the README, but zero maintenance makes it a reliable, low-risk "my reads" list.

(178 words)

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