Top Technology Charts on Apple Podcasts

The a16z Show

1

The a16z Show

Andreessen Horowitz
TikTok

2

TikTok

Catarina Vieira
Acquired

3

Acquired

Ben Gilbert and David Rosenthal
Whatsapp

4

Whatsapp

Rami AP
Darknet Diaries

5

Darknet Diaries

Jack Rhysider
Dwarkesh Podcast

6

Dwarkesh Podcast

Dwarkesh Patel
Everyday AI Podcast – An AI and ChatGPT Podcast

7

Everyday AI Podcast – An AI and ChatGPT Podcast

Everyday AI

6 days ago

Re-Founding Incumbents for the AI Era with Sequence Holdings Co-Founder and CEO Michael Lee

Can AI transform legacy incumbents rather than replacing them? Sequence Holdings co-founder and CEO Michael Lee joins Sarah Guo to discuss how holding company structures and engineering integrations are reshaping market leaders from the inside out. Michael details Sequence’s $7.7 billion take-private transaction of Baldwin alongside Dell Family Office (DFO), and shares his thesis on why traditional consulting models and software sales fall short for real enterprise AI transformations. They also talk about why permanent holding company structures are good for long-term compounding, real-world results from applying frontier engineering to BankSouth, and Michael’s lessons from his time in public investing, private equity, and operating at the intersection of market incumbents and AI. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @mjlee_2014 | @seqholdings Chapters: 00:34 – Michael Lee Introduction 01:03 – Sequence Holdings and Baldwin 01:54 – Idea for Sequence 04:36 – Incumbents in the AI Era 06:32 – Why a Holding Company 11:21 – Recruiting Top Engineers 13:08 – Investing in BankSouth 17:46 – Why an Insurance Brokerage 20:17 – Atlas Platform Explained 23:53 – Traditional Private Equity Limitations 27:23 – What Sequence Looks For in Management Teams 31:04 – Accomplishments at BankSouth 34:45 – Founder Lessons 36:08 – Story of Dell Partnership 37:10 – Career and Investment Approach 40:00 – Value of Exceptional People 42:23 – Conclusion
17 Sept

Noam Brown – Agent swarms, alignment, & recursive self-improvement

New episode with Noam Brown. We talk about multi-agent, Navier-Stokes, and what the current explosion of maths progress tells us about what happens once you automate AI research. And we also discuss how we will know if the models are actually aligned before we kick off RSI. Watch on YouTube; read the transcript. Sponsors * Jane Street has been interested in AI for a lot longer than you’d think, and not just for trading. In 2011, a full year before AlexNet and over a decade before ChatGPT launched, they hosted the first FOOM Debate between Eliezer Yudkowsky and Robin Hanson on whether AI would lead to an intelligence explosion. Now Jane Street is revisiting the question with a new panel: Daniel Kokotajlo, Ege Erdil, Ryan Greenblatt, and Jaime Sevilla, hosted by Ron Minsky in San Francisco this October. I expect it to be a truly excellent conversation. Register at janestreet.com/dwarkesh * Grok Bot has made handing off work super easy. It runs on its own cloud computer, where it installs the tools it needs to handle tasks end-to-end. For the podcast, we use Grok Bot to help produce our videos. You may have noticed that our ads feature animations of real websites. Getting these pixel-perfect used to mean running a convoluted, multi-step workflow ourselves. Now we just let Grok Bot handle it. Best of all, Grok Bot has learned all of our specs and preferences, so we don’t have to redescribe the task each time! Try Grok Bot for yourself at x.ai/bot * Antithesis gives you the confidence of a giant test suite without actually having to write one. Say you’re doing a major backend refactor: building enough tests to trust it could take weeks. Antithesis solves this by running your software through countless simulated worlds, injecting faults and hunting for failures. On any PR, you can turn a dial to decide exactly how much testing you want. And because every run is fully deterministic, agents can branch off the moment a bug appears, rewind it, inspect memory, and replay it, all while the original test keeps running. Learn more at antithesis.com/dwarkesh Timestamps (00:00:00) – Multi-agent and Navier-Stokes (00:15:28) – How will AI firms work? (00:22:02) – What math progress tells us about recursive self improvement (00:40:22) – Hugging Face and alignment (01:01:18) – The internal/external model gap (01:08:34) – Chain of thought is degrading (01:14:12) – How will we know when alignment is solved? This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.dwarkesh.com
14 Sept

The Home Depot

The Home Depot's founding story is like an Avengers movie… if the Avengers got fired, went broke, and stacked empty paint cans ten feet high to look legitimate. After being unceremoniously fired from their previous hardware chain at ages 48 and 35, Bernie Marcus and Arthur Blank took the words of their New York banker Ken Langone (who had also just accidentally caused their firings) to heart: they'd just been "kicked in the ass with a golden horseshoe.” They proceeded to author the greatest compounding story in American retail history, helped by some legendary cameos along the way from Sol Price, Jamie Dimon, and Ross Perot (to name a few). And the ending is as good as any superhero film: from its 1981 IPO to today, The Home Depot has been the single highest-returning equity in the entire US stock market — higher than Apple, Microsoft, Berkshire Hathaway, and everything else! Sponsors: Many thanks to our fantastic Fall '26 Season partners: SierraWorkOSAnthropicSentryLinks: Sign up for email updates, get our takeaways and research photos from each episode, and vote on future topics!The Official Acquired Meetup on Sept 17th with our friends at Sentry. Join us!The Acquired Home Depot Companion PDFOur Visual Artifacts page for Home DepotBuilt from Scratch by Bernie Marcus and Arthur BlankKick Up Some Dust by Bernie MarcusThe Board Wore Chicken Suits by Joe Nocera, The New York TimesFrank Blake on Invest Like the BestKen Langone's interview with Arvind NavaratnamWorldly Partners' Multi-Decade Home Depot StudyAll episode sourcesCarve Outs: Silo Season 3Tires Season 3Ratio 8 Coffee MakerTrade CoffeeQuarterbackComedianMore Acquired: Get email updates and vote on future episodes!Join the SlackCheck out the latest swag in the ACQ Merch Store!00:00:00 Start00:00:43 Intro00:05:32 Bernie Marcus's Early Career and meeting Arthur Blank (1972)00:15:58 Ken Langone & Handy Dan (1970s)00:33:08 Ken Buys Handy Dan, Bernie & Arthur Fired00:43:55 Ross Perot Almost Buys Home Depot00:51:20 Pat Farrah & The HomeCo Interlude01:05:03 First Stores & Early Model (1979)01:14:16 Home Depot Goes Public & Expands (1981)01:24:35 Home Depot's Unique Operating System01:46:01 Arthur Blank Takes CEO & Early Cracks (1997)01:56:07 The Bob Nardelli Era (2000-2007)02:12:09 Nardelli's Public Downfall & Firing (2006-2007)02:24:24 Frank Blake's Turnaround: Crisis & Culture (2007)02:42:30 E-commerce & Distribution Revolution02:59:57 Home Depot Today: Pro & DIY (2024)03:12:04 Analysis: The Paradox of Specialness03:16:18 7 Powers: Home Depot's Competitive Advantages03:19:17 Quintessence: Why It Got So Big03:26:27 Carve-Outs + Outro ‍Note: Acquired hosts and guests may hold assets discussed in this episode. This podcast is not investment advice, and is intended for informational and entertainment purposes only. You should do your own research and make your own independent decisions when considering any financial transactions.
1 Sept

The Courthouse - Revisited

In this episode we follow up with Gabby and Justin from Episode 59 - two seasoned penetration testers who tell us a story about the time when they tried to break into a courthouse but it went all wrong, and what happened in the aftermath. SponsorsThis show is brought to you by Doppel. Doppel stops AI attacks with digital risk protection, human risk management, and email security on a unified social engineering defense platform.doppel.comThis show is brought to you by Sinch. Sinch is the cloud communications platform businesses build on to send SMS, make calls, and verify identity at scale — including the one-time codes and two-factor prompts that stand between an account and whoever's trying to get into it. Learn more at https://s.sinch.com/4xc8dnz Support for this show comes from ThreatLocker. ThreatLocker is a Zero Trust Platform that gives organizations control over what can run and what users and devices can access. It combines prevention with real time detection and automated response, helping security teams stop unauthorized activity and quickly contain compromised machines. Learn how ThreatLocker can strengthen your defenses at threatlocker.com/Darknet. View all active sponsors. SourcesFull list of sources on the show page: https://darknetdiaries.com/episode/179/
11 Sept

What It Takes to Build a Startup | Andrew Chen & Matt Perault

a16z’s Matt Perault sits down with General Partner and Speedrun lead Andrew Chen on the a16z AI Policy Brief to explore what “Little Tech” actually looks like at the earliest stages, and why the realities of building a two- or three-person startup are often missing from policy debates. Andrew takes us inside Speedrun, where founders are often starting companies from kitchen tables, working with tiny teams, and trying to determine in a matter of months whether their idea can become a viable business. He explains why these founders rarely have the time or resources to engage with policymakers, even as regulation can have an outsized impact on whether and where they build. Matt and Andrew also discuss how regulatory burdens accumulate for young companies, why startups can choose where to put down roots, the role of ecosystems like Tech Week, and what policymakers can do to hear directly from the founders who may otherwise be absent from the conversation. This episode originally appeared on the a16z AI Policy Brief. Resources: Follow Andrew Chen on X: https://x.com/andrewchen Follow Matt Perault on X: https://x.com/MattPerault Learn more about a16z Speedrun: https://speedrun.a16z.com Listen to more from the a16z AI Policy Brief: https://a16zpolicy.substack.com/ Stay Updated: Find a16z on YouTube: YouTube Find a16z on X Find a16z on LinkedIn Listen to the a16z Show on Spotify Listen to the a16z Show on Apple Podcasts Follow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
23 Sept

Microsoft's Chief Accessibility Officer, the Director and Deputy-director of NLS, and the NFB's Accessibility Excellence initiatives

Join us for our iOS27 Access On webinar 0:00:00 Participate in the NVAccess Satisfaction survey 0:02:17 Microsoft's Chief Accessibility Officer, NeilBarnett 0:02:48 National Library Service for the Blind and Print Disabled 0:18:42 Jonathan Mosen reports on Accessibility Excellence initiatives 0:36:06 Significant Audacity accessibility regression 0:56:23 Good accessible music services offering download 0:57:57 Inaccessible Facebook Messenger tab bar 0:58:42 Closing and contact info 1:01:11
10 Sept

How AI Is Rewriting the Power Law of Venture Capital

a16z’s Jen Kha and David George sit down with Accolade Partners’ Aram Verdiyan to discuss how AI is changing the power law of technology investing, why the largest companies can compound advantages in ways that weren’t possible before, and what that means for how investors construct portfolios. They explore why AI may be much bigger than traditional software, with applications reaching into labor, healthcare, transportation, services, and other major parts of the economy. David explains why capital itself can now reinforce an AI company’s advantage by buying more compute, while Aram makes the case that AI should increasingly be treated as a core allocation rather than a satellite position. The conversation also gets into the changing economics of venture and growth investing, how to distinguish real AI traction from early hype, what AI means for legacy software and private equity, and why some of the largest opportunities may still be ahead in robotics, autonomy, healthcare, energy, and physical infrastructure. Resources: Follow Aram Verdiyan on X: https://x.com/aramverdi Follow Jen Kha on X: https://x.com/jkhamehl Follow David George on X: https://x.com/DavidGeorge83 Stay Updated: Find a16z on YouTube: YouTube Find a16z on X Find a16z on LinkedIn Listen to the a16z Show on Spotify Listen to the a16z Show on Apple Podcasts Follow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
5 days ago

I dont frickin know

Notes On Work - by Caleb Porzio
5 days ago

The Reputation Graph of Silicon Valley | Introducing Cosign

a16z’s Erik Torenberg sits down with Josh Elman, Olivia Moore, and David Booth to introduce Cosign, a new product built around professional reputation and the people, companies, and products you’re willing to put your name behind. They unpack a simple idea at the heart of Silicon Valley: some of the most valuable professional signals aren’t credentials, but who believes in you. From the mentor who shaped your career to the colleague you’d work with anywhere or the young builder you think everyone should be watching, Cosign is an attempt to make those signals more visible and durable. They also discuss why human endorsements may become more valuable as AI makes outreach and information abundant, what existing professional networks get right and miss, and how making reputation more legible could help talented people get discovered earlier, find collaborators, and carry the work they’ve done behind the scenes into whatever they do next. Resources: Follow Josh Elman on X: https://x.com/joshelman Follow Olivia Moore on X: https://x.com/omooretweets Follow David Booth on X: https://x.com/david__booth Follow Cosign: https://x.com/cosign_build Read more about Cosign: https://www.a16z.news/how-silicon-valley-knows-its-people Stay Updated: Find a16z on YouTube: YouTube Find a16z on X Find a16z on LinkedIn Listen to the a16z Show on Spotify Listen to the a16z Show on Apple Podcasts Follow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
21 Jul

National Public Data

This is the story of the hacker known as "USDoD". When he was young he had a vengeance on the US, and this lead him down a road of continual data breaches, until he hacked into National Public Data, which is when his spree went one step too far. SponsorsSupport for this show comes from ThreatLocker. ThreatLocker is a Zero Trust Platform that gives organizations control over what can run and what users and devices can access. It combines prevention with real time detection and automated response, helping security teams stop unauthorized activity and quickly contain compromised machines. Learn how ThreatLocker can strengthen your defenses at threatlocker.com/Darknet. This show is sponsored by Maze. Maze uses AI agents to triage and remediate cloud vulnerabilities by figuring out what’s actually exploitable, not just what’s theoretically risky. They remove the noise, prioritize vulns that matter, and manage remediation, so your team stops wasting time on meaningless vulns. Visit MazeHQ.com/darknet for more information. This show is sponsored by Sentry.IO. Sentry wants to help you monitor your environment for problems. They do error tracking, stack tracing, debugging, all so that your developers can diagnose, fix, and optimize the performance of their code. This makes it so developers ship more reliable code faster. Learn more at sentry.io. View all active sponsors. SourcesFull list of sources on the show page: https://darknetdiaries.com/episode/177/

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