General partner at Benchmark; earlier a partner at Greylock and an early product lead at Pinterest.
loved
we are late joiners to Tesla my family and man it is one of those products that you use it for the first time and you like I could see why I'd want to own equity in this company um not Financial advice obviously but uh it's just an awesome experience
Lenny's Podcast, "The hierarchy of engagement", lightning round, favourite recently discovered product; the guest's own spoken answer (YouTube captions).
Founder of The Skip, a community and podcast for senior product leaders; a former product executive at Meta, Google and Credit Karma, and a many-time founder.
liked
And so, I drove the latest Teslas that are out there and the ones with the the self-driving. And the self-driving works quite well, just to be clear.
Lenny's Podcast, "Why half of product managers are in trouble", lightning round, favourite recently discovered product; the guest's own spoken answer (YouTube captions). The guest praises the car's self-driving.
Product lead for Codex at OpenAI; earlier co-founder and chief executive of the pair-programming startup Multi.
liked
And then recently We got a Tesla instead. And I have to say that I find the Tesla software like quite inspiring.
Lenny's Podcast, "Inside OpenAI: 2026 is the year of agents, AI’s biggest bottleneck, and why compute isn’t the issue", lightning round, favourite recently discovered product; the guest's own spoken answer (YouTube captions). The guest praises the car's self-driving software.
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:
Hardware, services4 years
Software5 years
Podcasts, courses, other8 years
Books25 years
Stripes mean the post carries no date and the date shown is an estimate. No date at all, no shading.