rcmnd

Apple in ChinaBook

by Patrick McGee

Who uses, recommends or left Apple in China, in their own words: each a verbatim quote with a link to where it was said.

1 person

Shreya Shankar
Computer scientist working on LLMs in data systems; PhD at UC Berkeley, creator of DocETL, co-teaches an AI evals course with Hamel Husain.
liked

I also am currently reading Apple in China which the name of the author is slipping my mind but this is kind of more of an exposition written by a journalist on how Apple did a lot of manufacturing processes in Asia over the last um couple several decades. Very eye opening.

Lenny's Podcast, "Why AI evals are the hottest new skill for product builders", lightning round, asked for the books they recommend most; the guest's own spoken answer (YouTube captions). Two-guest episode; the host put this question to Shreya first.

2025-09-25·youtube.com ↗

Every entry is a verbatim quote and a link to the public post it came from. Nothing is paraphrased. If it is not on record somewhere public, it is not here.

The verdict is what they actually said: loved and liked are explicit; recommended means they told others to get it; uses means they only say they use it; read is a book on their public shelf with no verdict; mixed and disliked are kept too.

A dashed affiliate link, sponsored or their own label means the post disclosed a relationship. It is shown, never hidden.

The shading behind a date shows how dated a recommendation is for its kind of thing.

The shading behind a date shows how dated a recommendation is, for its kind of thing. Fully green is recent. It drains a quarter at a time as the post gets older, and is empty once it reads as dated.

What counts as old depends on the thing. A laptop praised four years ago has been replaced twice; a book loved twenty years ago is probably still loved. The shading is gone after about:

Stripes mean the post carries no date and the date shown is an estimate. No date at all, no shading.