Recommendations you can check.
Stripe's chief technology officer when he spoke to Lenny's Podcast in 2023; previously an engineering leader at Google.
4 things
MidjourneySoftware Midjourney
definitely love is Midjourney.
Lenny's Podcast, "Building a culture of excellence", lightning round, favourite recently discovered product; the guest's own spoken answer (YouTube captions). The guest notes Midjourney runs its business on Stripe, where the guest is CTO.
2023-05-04·youtube.com ↗
BuildBook Tony Fadell
I've really enjoyed Build by Tony Fadell. Tony worked on the iPod and then the iPhone and then was the founder of Nest and he puts a tremendous amount of thought into his users and how to build really great crafted experiences. I had the privilege of working with him very briefly at Google, but I thought the book was excellent
Lenny's Podcast, "Building a culture of excellence", lightning round, asked for the books they recommend most; the guest's own spoken answer (YouTube captions). The guest says they worked briefly with the author at Google.
2023-05-04·youtube.com ↗
High Output ManagementBook Andrew S. Grove
High Output Management by Andy Grove is definitely the book that I've recommended the most.
Lenny's Podcast, "Building a culture of excellence", lightning round, asked for the books they recommend most; the guest's own spoken answer (YouTube captions).
2023-05-04·youtube.com ↗
Scaling PeopleBook Claire Hughes Johnson
Claire Hughes Johnson's book Scaling People. Even though it only just came out, I've recommended it a lot.
Lenny's Podcast, "Building a culture of excellence", lightning round, asked for the books they recommend most; the guest's own spoken answer (YouTube captions). The author is a Stripe colleague, and the guest says the book shares techniques used at Stripe.
2023-05-04·youtube.com ↗
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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.
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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:
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