---
title: "Comment by Алексей Спинов on \"Why Your Node.js App Freezes (And How Worker Threads Can Save You)\" | Hashnode"
description: "Solid explanation. In my experience building data processing tools, the biggest win from Worker Threads came when handling JSON parsing of large API responses."
url: "https://hashnode.com/posts/why-your-nodejs-app-freezes-and-how-worker-threads-can-save-you/68018214a7e17df949bc335d/comment/69de6f725b034a3f7c001dc3"
---

[Discussion](https://hashnode.com/posts/why-your-nodejs-app-freezes-and-how-worker-threads-can-save-you/68018214a7e17df949bc335d)

Comment [Why Your Node.js App Freezes (And How Worker Threads Can Save You)](https://hashnode.com/posts/why-your-nodejs-app-freezes-and-how-worker-threads-can-save-you/68018214a7e17df949bc335d)

[Алексей Спинов](https://hashnode.com/@spinov001)

[Apr 14](https://hashnode.com/posts/why-your-nodejs-app-freezes-and-how-worker-threads-can-save-you/68018214a7e17df949bc335d/comment/69de6f725b034a3f7c001dc3)

Solid explanation. In my experience building data processing tools, the biggest win from Worker Threads came when handling JSON parsing of large API responses. Moving the parse step off the main thread kept the event loop responsive for incoming requests. One caveat: SharedArrayBuffer is great for numeric data but for string-heavy payloads, the serialization overhead can negate the benefit. MessagePort with transferable objects was the sweet spot for us.