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Evidence index / named items

Books, apps, and tools people actually name.

Compare how many distinct people recommended, used, liked, owned, built, or avoided the same item—then inspect every transcript excerpt behind the count.

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book / evidence rows

Tomorrow, and tomorrow, and tomorrow

2 distinct people

recommends / book

“At work? It's probably Thinking Machines, so it's all about treating the cause, not the symptoms. The prototypical example is if you want to solve traffic, you don't actually put up speed bumps or speed limits, you actually have to solve walkability and mobility and why people actually use cars. Outside of that, personally, the CMO of Instacart recommended to me Tomorrow, and tomorrow, and tomorrow and I read it last month and last year and the year before because I love it so much. It's like this beautiful story over 10 years.”

Asha Sharma · Lenny's Podcast · How 80,000 companies build with AI: products as organisms, the death of org charts, and why agents will outnumber employees by 2026 | Asha Sharma (CVP of AI Platform at Microsoft) · 28 Aug 2025

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recommends / book

“The first one is called Thinking in Systems. It's the one I give the team every now and then. It's just a really good book about how I think sometimes people see systems. Can we talk about it? It could be abstract. I think it goes into real detail on how people can intervene at various parts and how to take actions at different systems. I really enjoy that book. Not directly maybe a book I recommend, but a book that I just read that I thought was phenomenal, just to give it to readers if they want something good, it's called Tomorrow, and Tomorrow, and Tomorrow. It was recommending by a friend. Have you read it? You read it?”

Hari Srinivasan · Lenny's Podcast · LinkedIn’s product evolution and the art of building complex systems | Hari Srinivasan (LinkedIn) · 16 Jul 2023

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