All Episodes

Displaying 161 - 180 of 538 in total

What is Deep Work? [Cal Newport]

Cal explains Deep Work in 15 minutes.

[Weekend Drop] The Third Age of JS on JSParty

I joined the JS Party crew again to recap my Reactathon talk!

[Music Friday] Naya Rivera

RIP to our Latina queen.

When the Truth Pops Out [Lin-Manuel Miranda]

As a high school student, Lin-Manuel Miranda reveals more of himself than he realized while writing his first musical.

How McKinsey Consultants Charge $750 an Hour [Business Breakdowns]

A rare look into the economics of a consulting business.

Why Australia Has No Starbucks [Brandon Richard]

A fascinating and unusual story about coffee that you might use in future.

Tech's Role in America [Katherine Boyle, Palmer Luckey]

the a16z GP gives the party line on how Silicon Valley can meet Washington, and then Palmer Luckey gives his take living it

[Weekend Drop] Swyx interview on FreeCodeCamp podcast

When people ask about how I got started, I send them to this podcast. Here is the audio, edited for ums.

[Music Friday] Butterfly Lovers Concerto

The concerto that made me learn the violin at 6 years old.

The Levels Endorsement that Can't Be Bought [Betsy McLaughlin]

One CEO's struggle with her glucose levels despite trying everything.

The Origin of Levels [Josh Clemente]

The founding of the personal CGM.

How to defeat Amazon and Disrupt the Publishing Industry [Brandon Sanderson]

BranSan goes on one of his famous rants.

Feedback Loops and the Catatonic Schizophrenic [Eric Jorgenson]

how faster feedback loops win and how internal feedback loops bring death.

[Weekend Drop] Talking Temporal on Purrfect.dev

I joined Brittney and Alex again to talk about Temporal and Self Provisioning Runtimes!

[Music Friday] Therese Curatolo and the Scary Pockets

The queen of funk shows us how it's done.

Spark, Databricks, and the Netflix Prize [Reynold Xin]

Drew Banin interviews the Databricks cofounder and Spark creator.

Welcome to the Lakehouse [Ali Ghodsi, David Meyer]

The Databricks leaders explain how they got here.

Snowflake and Jevons Paradox [Software Defined Talk]

When you make something more efficient, people use it *more*. How that impacts Snowflake pricing

The Origin of Snowflake [Kent Graziano]

the former Chief Evangelist explains Snowflake in 2016.

[Music Friday] Star Wars Lofi - Samuel Kim

Chill beats to work/relax to, from a long long time ago, in a galaxy far far away.

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