Today Adam is joined by Evan Kaplan, CEO of InfluxData. Evan’s journey to become the CEO was not by way of founder, in this company. Evan has founded several companies in the past, and he’s been in a CEO position for more than 22 years. But InfluxData was founded by Paul Dix, and Paul knew years ago that his role (best role?) was to lead the technical and product direction of the company, which lead him to Evan. Today we share that story as well as a glimpse into operating the business that built the defacto platform for building time series applications with deep roots in open source.

Mat Ryer and David Hernandez joined Daniel and Chris to talk about MachineBox, building a company around AI, and democratizing AI.

KBall & Amal interview Alex & Pavel from the Angular Signals team. They cover the history, how the Angular team decided to move to signals, what the new mental model looks like, migration path & even dive into community integrations and future roadmap.

We partnered with Red Hat to promote Season 3 of Command Line Heroes — an original podcast from Red Hat, hosted by Saron Yitbarek of CodeNewbie, about the people who transform technology from the command line up. It’s an awesome show and we’re huge fans of Saron and the team behind the podcast, so we wanted to share it with you.

Learn more and subscribe at redhat.com/commandlineheroes.

Ben Ilegbodu joins Divya, Suz, & Amal to talk about introducing TypeScript at Stitch Fix, why TypeScript and React work well together, building component libraries, and more.

Nhung Ho joins Daniel and Chris to discuss how data science creates insights into financial operations and economic conditions. They delve into topics ranging from predictive forecasting to aid small businesses, to learning about the economic fallout from the COVID-19 Pandemic.

90% of AI / ML applications never make it to market, because fine tuning models for maximum performance across disparate ML software solutions and hardware backends requires a ton of manual labor and is cost-prohibitive. Luis Ceze and his team created Apache TVM at the University of Washington, then left founded OctoML to bring the project to market.

Nikola Mrkšić, CEO & Co-Founder of PolyAI, takes Daniel and Chris on a deep dive into conversational AI, describing the underlying technologies, and teaching them about the next generation of voice assistants that will be capable of handling true human-level conversations. It’s an episode you’ll be talking about for a long time!

Bill Kennedy joined the show and talked with Carlisia about learning Go, teaching Go (which is something we’ll do at some point or another), making good presentations, and other interesting projects and news.

John Myers of Gretel puts on his apron and rolls up his sleeves to show Dan and Chris how to cook up some synthetic data for automated data labeling, differential privacy, and other purposes. His military and intelligence community background give him an interesting perspective that piqued the interest of our intrepid hosts.

Tim Banks joins Justin and Autumn — there’s nothing quite like being punched in the face by Zookeeper or being taken down by a “hot” shard.

KBall, Divya, and Nick get together with Chris Ferdinandi to talk about vanilla JavaScript, best resources for learning, and our favorite vanilla JavaScript tips, tricks and APIs.

Mat Ryer hosts our first one-on-one interview-style episode with special guest Ron Evans. Mat asks Ron to teach us about Go in IoT, hardware hacking at Gophercon, TinyGo, and Gopherbot.

The wonderful folks behind CSS-Tricks (maybe you’ve heard of it?) face off in our much beloved don’t-call-it-jeopardy game show. Can you out smart our intrepid contestants?

Play along while you listen (or watch). It’s JS Danger time, y’all!

Hamish from Sajari blows our mind with a great discussion about AI in search. In particular, he talks about Sajari’s quest for performant AI implementations and extensive use of Reinforcement Learning (RL). We’ve been wanting to make this one happen for a while, and it was well worth the wait.

KBall & Amal dive deep with the “Dazzle of Zebras” (possible future band name), Angular team members Jessica Janiuk & Mark “Techson” Thompson. Along with an absolute riot of puns, they cover topics such as Angular’s new deferrable views feature, how the Angular core team handles change, and lessons learned from the AngularJS-Angular 2 debacle that allow Angular to now move fast without breaking things.

Jerod and KBall are joined by Micro Frontends in Action author Michael Geers to discuss (you guessed it) micro frontend architecture. We ask: what is the concept? How is it similar/different to micro services? Who is it best fitted for? How do you put it in practice? And much more.

Smart home data is complicated. There are all kinds of devices, and they are in many different combinations, geographies, configurations, etc. This complicated data situation is further exacerbated during a pandemic when time series data seems to be filled with anomalies. Evan Welbourne joins us to discuss how Amazon is synthesizing this disparate data into functionality for the next generation of smart homes. He discusses the challenges of working with smart home technology, and he describes how they developed their latest feature called “hunches.”

Two-time React Jammer, Brian Breiholz, joins Jerod & Nick to discuss building 3D games in the browser! We hear of his game jam trials & tribulations, the in-progress game engine he’s building, the dream game he’s been building for a long time & more

Adam adds a twist to our YepNope format this week. Instead of 2v2, it’s 1v1v1 with Mikeal reppin’ team Yep, Divya on team Nope, and Feross sitting in the middle on team It Depends. You don’t want to miss this excellent debate/discussion all about JS tooling complexity.

Many packages
New frameworks built all the time
Config hell. Webpack

Today’s episode features our very first guest. We’re joined by Danielle Rath, a notable expert and product developer in the caffeine and energy drink industry. Danielle is the founder of GreenEyedGuide Research and Consulting where she shares science-based information about energy drinks and caffeine, and helps people and companies where fatigue and caffeine use are prevalent. In this lengthly episode, we talk through all aspects of the science behind caffeine — its chemical structure and half-life, where and how it’s being used, the good, bad, and the ugly, as well as practical advice for everyday consumption. If you consume caffeine of any sort, this is a must listen episode.

Silvia Botros joins Justin & Autumn for a phenomenal conversation about databases, her career path & the ins/outs of writing High Performance MySQL.

Andrei Matei joined the show and talked with us about CockroachDB (and why it’s easier to use than any RDBMS), distributed databases with Go, tracing, and other interesting projects and news.

Damian Gryski joined the show and talked with us about perfbook, performance profiling, reading white papers for fun, fuzzing, and other interesting projects and news.

Ro Gupta from CARMERA teaches Daniel and Chris all about road intelligence. CARMERA maintains the maps that move the world, from HD maps for automated driving to consumer maps for human navigation.

Justin & Autumn get together one last time for a retro: favorite episodes, lessons learned, biggest surprises & what’s next.

Braden Hancock joins Chris to discuss Snorkel Flow and the Snorkel open source project. With Flow, users programmatically label, build, and augment training data to drive a radically faster, more flexible, and higher quality end-to-end AI development and deployment process.

Divya and Jerod welcome ZEIT founder Guillermo Rauch to the show for a deep discussion on the state of JAMstack, what’s new & exciting with Next.js, and some big picture analysis of where the industry is heading.

Jerod, Kball, Divya, and Nick share their initial impressions of GitHub’s recently announced package registry, what JS skills are trending in job listings, and shout outs!

Empirical analysis from Roy Schwartz (Hebrew University of Jerusalem) and Jesse Dodge (AI2) suggests the AI research community has paid relatively little attention to computational efficiency. A focus on accuracy rather than efficiency increases the carbon footprint of AI research and increases research inequality. In this episode, Jesse and Roy advocate for increased research activity in Green AI (AI research that is more environmentally friendly and inclusive). They highlight success stories and help us understand the practicalities of making our workflows more efficient.