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Silicon ValleyOther

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

2 people

Brian Balfour
Founder and chief executive of Reforge; earlier vice president of growth at HubSpot.
liked

I just uh rewatched Silicon Valley that I hadn't watched a number of times. And it's um it's painful because like the first few seasons, I went through almost every one of those moments in my first startup. Uh like hiring the gray-haired CEO, the funding falling through at the last second, like all the crazy stuff. Uh, but kind of going back and watching that, I like there's just some extra nuances and stuff that I feel like they wrote really well

Lenny's Podcast, "Why ChatGPT will be the next big growth channel (and how to capitalize on it)", lightning round, favourite recent movie or TV show; the guest's own spoken answer (YouTube captions).

2025-08-17·youtube.com ↗

Aishwarya Naresh Reganti
AI engineer and educator who has worked on AI deployments at AWS; teaches courses on building AI products.
recommended

I started re-watching Silicon Valley, and I think it's so true. It's so timeless. Everything is repeating all over again. Anybody who's watched it a few years ago should start re-watching it

Lenny's Podcast, "Why most AI products fail: Lessons from 50+ AI deployments at OpenAI, Google & Amazon", lightning round, favourite recent movie or TV show; the guest's own spoken answer (YouTube captions).

2026-01-11·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.