A More Human Approach To Productivity (Video)
tl;dr: (1) Plan 3 tasks to finish each day. (2) Do one thing at a time to work deliberately on one thing. (3) Get the most out of your energy - eating well, exercise, sleep. (4) Stay offline to avoid procrastination. (5) Daydream: let the mind wander to connect the dots in your mind.
featured in #237
Superhuman's Founder on How to Move Beyond Gamification
tl;dr: Rahul explains how he's applied game design to enterprise software.
featured in #170
How Stripe Invests In Technical Infrastructure (Video)
tl;dr: Prioritization is especially challenging for infrastructure engineers. Will presents his approach as Stripe scaled, discussing when to firefight, work on new features and more.
featured in #164
The Mind Behind Linux (2016 Video)
tl;dr: Fascinating conversation about the inception of Linux and Git, and the man behind them. The initial community involved in Linux was critical. Git was a result of managing Linux's growth. Both projects were to solve Linus' immediate needs.
featured in #162
How Do CPUs Read Machine Code? (Video)
tl;dr: 50mins video on how a 6502 microprocessor, which started the home computer revolution in the 80s, reads the code we write.
featured in #160
Josh Waitzkin On How to Structure Your Day for Peak Performance (Video)
tl;dr: (1) structure your day to be pro-active, not reactive, by blocking out thinking time on your calendar (2) end your day asking the most important question and waking up the next day and answering that question first thing.
featured in #158
tl;dr: "At some point everything changed: the tail started to wag the dog instead and development became JS-first." You shouldn't rely on JS as much, plus practical strategies for building without a JS framework.
featured in #156
Interview with John Carmack (Video)
tl;dr: Joe Rogan interviews the fascinating John Carmack, discussing game development, augmented reality and much more.
featured in #152
No Moore Left to Give: Enterprise Computing After Moore's Law (Video)
tl;dr: Moore's Law has driven massive growth but is becoming economically unviable. Bryan runs through his take on the future of computing, and the avenues that could take over.
featured in #148