2026-03-26 22:47:36
Friends,
If Silicon Valley has any religion, it is that of the founder. Nowhere else puts as much faith in, nor grants as much latitude to, sovereign individuals attempting to build something from scratch. Only within this strip of approximately 35 miles might a broke 20-year-old in pajama pants and Adidas sliders command greater reverence than a celebrated researcher, diligent doctor, or decent executive. This is the strangeness of Silicon Valley and its genius.
The cult of the founder has enjoyed a fresh, febrile burst. Now, more than anytime in the last decade, operating in “founder mode” — the term popularized by Paul Graham’s post — is seen as synonymous with efficacy. Managers (that wretched, blighted species) are viewed not only as less productive but less legitimate, usurpers and meddlers that merely disrupt the glowing chi that stems from the central chakra of those who build.
Look across the tech landscape, however, and there is one manager that bears closer inspection: Satya Nadella. Since his appointment as Microsoft CEO in 2014, few executives boast a more impressive record. Given Microsoft’s current strengths, it is easy to forget the company Nadella inherited. Unlike Tim Cook, who stepped into an innovative organization still in the early innings of capitalizing on a new product category, Nadella stepped into a company that was culturally rotten, creatively blocked, and stuck with a sideways stock price. It is true that Ballmer had sown the seeds for a cloud computing renaissance, as we’ll discuss, but this was far from the finished article.
In the intervening 12 years, Nadella not only drove the company to a $3 trillion market cap but also oversaw an authentic internal revolution, expanded its product suite, and positioned Microsoft to keep pace in the AI era. He has done so while portraying himself as the consummate modern manager, fond of borrowing from the Buddha, and peddling the MBA-circuit bon mots of empathetic leadership and a “growth mindset.” Nadella’s own chronicle of his turnaround, Hit Refresh, is stuffed with such cheery banalities. While the great CEOs of the past and current generation are prone to fits of rage, savage dressing-downs, and impossible expectations, Nadella appears genuinely reasonable, a happy guru who would like you to work hard, sure, but don’t forget to take time for your family and maybe a restorative hobby.
How has he done this? How does a peacetime CEO win in a war zone? Can one really win at this scale without the animal intensity of Musk or Huang? Is the balmy public presentation the whole story?
To answer these questions, I have spent the past three months studying Nadella’s leadership from as many angles as possible. That includes Hit Refresh, Acquired’s two-part series on Microsoft before Nadella, a slew of podcasts and long-form articles, internal emails released in court filings, annual shareholder letters, and confidential expert interviews with former Microsoft executives.
What emerged is a nuanced portrait of how a manager built fresh power structures beneath him, constructed new mythologies, reset cultural norms, and developed founder-like authority.
This piece is part of The Generalist’s ongoing series of managerial “playbooks,” exclusively available to premium subscribers. You can find our previous editions on Elon Musk, Jeff Bezos, and Jensen Huang here.
Our mission, across all of these playbooks, is to reveal the real strategies legendary entrepreneurs use to build their businesses. These are often uncomfortable and in direct conflict with traditional managerial advice. However, if you believe progress depends on innovation, as we do, then understanding these principles, foibles included, is not only interesting but essential.
To unlock all four playbooks and everything else The Generalist has to offer, join us now for $22/month. You’ll get immediate access to our best long-form writing, company case studies, exclusive interviews, and private databases.
Manifest authority through mythology.
Borrow power from the old regime (even as you counterposition against it).
Remake the aristocracy beneath you.
Make it safe to fail.
Once the narrative is set, use it as cover.
Hone your sharpest knife.
If you can’t win the future, at least don’t lose it.
In each section, we’ll unpack the strategies behind these principles and outline their benefits and tradeoffs.
A 10,000+ word playbook of tech’s most effective non-founding CEO
How Nadella earned founder-like authority without founding anything
How Nadella dismantled Microsoft’s infamous stack ranking culture
The bathroom-break decision that opened Azure to Linux
The $2.5 billion acquisition that had nothing to do with productivity (and everything to do with distribution)
The licensing maneuver that imposed a 400% tax on competitors’ cloud customers
How a panicked 2019 email led to the $13 billion OpenAI bet
Over 100 hours of research, confidential executive interviews, and court filings distilled
…and much more. To unlock the full playbook and learn how a “safe pick” turned a stagnant giant into a $3 trillion force, join our premium newsletter today.
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By definition, a non-founding CEO does not start from scratch. They enter an environment of someone else’s making and must transform it into something of their own. To understand how Satya Nadella changed Microsoft then, we must first grasp the state of the company he inherited. It was one just emerging from what became known as its “lost decade.”
When Steve Ballmer stepped into the CEO role in January 2000, he was taking the reins of the most valuable company on the planet. Less than three weeks earlier, Microsoft had hit a peak valuation of $615 billion, with a stock price approaching $60.
When the crash came, Microsoft cratered, dropping below $250 billion. It was not the fall that was remarkable, but what happened after. Or rather, what didn’t happen after. In the years that followed, as other wounded tech players stabilized and then climbed, Microsoft stayed stuck, even as its underlying performance improved. During Ballmer’s reign, revenue compounded from $23 billion to $86 billion while operating income improved from $11 billion to $28 billion. And yet, the stock barely moved, flatlining at about $30 a share. Over a similar timeframe — between late 2000 and mid-2012, Apple snowballed from a $4.8 billion pipsqueak into a $541 billion behemoth. By the time Nadella’s reign began, Microsoft was firmly in its shadow.
2026-03-24 20:05:42
“I would argue the biggest risk is actually locking in a very narrow monoculture for superintelligence. One superintelligence is much less safe than infinite superintelligence.” — Vincent Weisser
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Much of the fear around AI centers on misalignment – the idea that powerful systems might act against human interests. Vincent Weisser worries about something different: what happens if advanced AI systems are perfectly aligned with the interests of a small group of institutions? That concern led him to co-found Prime Intellect, a startup building open infrastructure for training and deploying advanced AI models. Before Prime Intellect, Weisser helped organize Vitalik Buterin’s Zuzalu experiment and worked in decentralized science, where he helped unlock roughly $40 million in funding for unconventional research. Today, he’s applying that same open ethos to AI, working to ensure the tools that shape superintelligence remain broadly accessible rather than concentrated in the hands of a few.
In our conversation, we explore:
Why Vincent believes multiple superintelligences are safer than one
The intellectual influences that shaped Vincent’s thinking about intelligence and progress, including David Deutsch and Nick Bostrom
Prime Intellect’s evolution from distributed compute infrastructure to frontier model training and reinforcement learning tools
Why Vincent believes open and decentralized science could accelerate discovery
The Zuzalu experiment and what it suggests about the future of scientific communities
The role of aesthetics and craft in building technology
Why Europe might have a cultural advantage in a post-superintelligence world
Vincent’s predictions for the next five years of AI
Granola: The app that might actually make you love meetings.
Brex: The intelligent finance platform.
Rippling: Stop wasting time on admin tasks, build your startup faster.
(00:00) Introduction to Vincent Weisser
(03:28) The book behind Prime Intellect’s name
(07:35) The case for suffering
(09:35) An overview of Prime Intellect
(13:03) Why open source models matter
(21:18) Vincent’s intellectual influences
(25:17) Early years in the startup scene
(31:48) Funding science outside traditional institutions
(41:22) The past 6 months of AI progress
(43:45) Deciding to build Prime Intellect
(46:55) Why GPUs were the right starting point
(51:39) Training models on Prime Intellect
(59:48) Why beauty matters
(1:03:48) The Zuzalu experiment
(1:06:27) Prime Intellect’s AGI Easter egg
(1:11:13) Predictions for the next five years
(1:15:09) Final meditations
LinkedIn: https://linkedin.com/in/vincentweisser
X: https://x.com/vincentweisser
Goodreads: https://www.goodreads.com/user/show/69248416-vincent-weisser
Website: https://primeintellect.ai
The Metamorphosis of Prime Intellect: https://www.amazon.com/Metamorphosis-Prime-Intellect-Roger-Williams/dp/1411602196
The Beginning of Infinity: Explanations That Transform the World: https://www.amazon.com/Beginning-Infinity-Explanations-Transform-World/dp/0143121359
Superintelligence: Paths, Dangers, Strategies: https://www.amazon.com/Superintelligence-Dangers-Strategies-Nick-Bostrom/dp/0198739834
Steve Jobs: https://www.amazon.com/Steve-Jobs-Walter-Isaacson/dp/1982176865
The Singularity Is Near: When Humans Transcend Biology: https://www.amazon.com/dp/0143037889
Physics of the Future: How Science Will Shape Human Destiny and Our Daily Lives by the Year 2100: https://www.amazon.com/Physics-Future-Science-Shape-Destiny/dp/0307473333
A Pattern Language: Towns, Buildings, Construction (Center for Environmental Structure Series): https://www.amazon.com/Pattern-Language-Buildings-Construction-Environmental/dp/0195019199
George Hotz on X: https://x.com/realGeorgeHotz
Andrej Karpathy on X: https://x.com/karpathy
Benjamin Bratton’s website: https://bratton.info
David Deutsch’s website: https://www.daviddeutsch.org.uk
Albert Einstein: https://en.wikipedia.org/wiki/Albert_Einstein
Vitalik Buterin’s website: https://vitalik.eth.limo
Celine Halioua’s website: https://www.celinehh.com
Prime Intellect: https://www.primeintellect.ai
Anthropic: https://www.anthropic.com
OpenAI: https://openai.com
DeepSeek: https://www.deepseek.com
Google DeepMind: https://deepmind.google
Are We Alone In The Universe? Sara Seager on Exoplanets, Venus, and the Hunt for Alien Life (Astrophysicist and Planetary Scientist at MIT): https://www.generalist.com/p/are-we-alone-in-the-universe-sara-seager
Y Combinator: https://www.ycombinator.com
Loyal: https://loyal.com
Cursor: https://cursor.com
Zuzalu: https://zuzalu.city
Why I Built Zuzalu: https://www.palladiummag.com/2023/10/06/why-i-built-zuzalu
Dyson sphere: https://en.wikipedia.org/wiki/Dyson_sphere
I’d love it if you’d subscribe and share the show. Your support makes all the difference as we try to bring more curious minds into the conversation.
Production and marketing by penname.co. For inquiries about sponsoring the podcast, email [email protected].
2026-03-17 20:03:46
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Karol Hausman is the co-founder and CEO of Physical Intelligence, a robotics company building a general-purpose “AI brain for the physical world.” The company has raised more than $1 billion in funding to develop foundation models that allow robots to operate across many machines, environments, and tasks rather than being programmed for a single purpose. The core thesis: the same scaling dynamics that transformed language models may also unlock robotic intelligence. But only if you resist every commercial pressure pushing you toward specialization. The central challenge isn’t mechanical design. It’s intelligence: how robots learn, generalize, and interact with a physical world that is far harder to simulate than it is to describe. Before launching Physical Intelligence, Karol worked at Google Brain and Stanford University, studying robot learning alongside researchers Sergey Levine and Chelsea Finn, who later became his co-founders.
In our conversation, we explore:
How growing up in a small town in Poland and watching Star Wars sparked Karol’s fascination with robots
The moment a lecture from Sergey Levine convinced him to abandon his PhD research direction and pivot fully to deep learning
Why robotics has historically lagged behind breakthroughs in language models
The case for building a general “AI brain” for the physical world rather than a single specialized robot
The role of real-world data in training robots, the limits of simulation, and how deployment could create a powerful data flywheel
The return of reinforcement learning and the parallels between human learning and robot training
The unique challenges of physical intelligence and why robots must operate with far higher reliability than language models
Brex: The intelligent finance platform.
Granola: The app that might actually make you love meetings.
(00:00) Intro
(04:05) Karol’s early fascination with robots
(07:38) How Karol relates to Fei-Fei Li’s biography
(08:52) What inspired Karol to build better robots
(11:19) Philosophical influences
(15:33) Parallels between The Inner Game of Tennis and robotics
(18:21) Karol’s entry point to robotics and PhD program
(25:49) Combining robotics with LLMs: The Taylor Swift demo
(30:48) The 1970s SHRDLU AI experiment
(32:33) Founding Physical Intelligence
(35:13) How Lachy Groom got involved
(39:40) How research shapes what Physical Intelligence builds
(45:22) The importance of real-world data
(49:07) The return of reinforcement learning in robotics
(53:31) The risk of commercializing too early
(55:47) Finding the right partners for the business
(57:13) Open research questions
(1:00:00) NVIDIA’s simulation engines
(1:01:57) The surprising speed of progress
(1:04:16) Reliability in robotics
(1:07:31) Compensating for missing senses
(1:12:28) Book recommendation
LinkedIn: https://www.linkedin.com/in/karolhausman
Worlds I See: https://www.amazon.com/Worlds-I-See-Fei-Fei-Li/dp/1250389895
The Inner Game of Tennis: The Classic Guide to the Mental Side of Peak: https://www.amazon.com/Inner-Game-Tennis-Classic-Performance/dp/0679778314
On the Move: https://www.oliversacks.com/oliver-sacks-books/on-the-move
Why Greatness Cannot Be Planned: The Myth of the Objective: https://www.amazon.com/Why-Greatness-Cannot-Planned-Objective-ebook/dp/B00X57B4JG
Fei-Fei Li on X: https://x.com/drfeifei
Baruch Spinoza: https://en.wikipedia.org/wiki/Baruch_Spinoza
Sergey Levine on X: https://x.com/svlevine
Brian Ichter on LinkedIn: https://www.linkedin.com/in/brian-ichter-26875978
Lachy Groom on LinkedIn: https://www.linkedin.com/in/lachy-groom-b218895
Chelsea Finn on LinkedIn: https://www.linkedin.com/in/cbfinn
Lee Sedol: https://en.wikipedia.org/wiki/Lee_Sedol
Physical Intelligence: https://www.pi.website
Karol’s post on X about Worlds I See: https://x.com/hausman_k/status/1732087549034889688
Ontology: https://en.wikipedia.org/wiki/Ontology
The History of AI in 7 Experiments: https://www.generalist.com/p/the-history-of-ai
NVIDIA: https://www.nvidia.com
Proprioception: https://en.wikipedia.org/wiki/Proprioception
I’d love it if you’d subscribe and share the show. Your support makes all the difference as we try to bring more curious minds into the conversation.
Production and marketing by penname.co. For inquiries about sponsoring the podcast, email [email protected].
2026-03-10 20:03:39
“You must get comfortable with the notion that a lot of really smart people you respect are going to explain to you in excruciating detail why this is not going to work...You have to be able to see through that and have a clear vision in your mind for why it is going to work.” — Zach Dell, co-founder and CEO of Base
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For decades, America’s electrical system has rewarded utilities for building more infrastructure, not for lowering costs. The result is a grid that expanded but rarely improved. Zach Dell, co-founder and CEO of Base, is building a different kind of power company. In under three years, Base has grown into a vertically integrated business valued in the billions. It combines home batteries and software to store electricity when it is cheap and deliver it when demand spikes. Dell’s interest in energy began long before Base. In college, he tried to lease a Hawaiian lava field for a solar project. He also experimented with anaerobic digestion systems in India and worked at Blackstone and Thrive Capital, where he met his co-founder. His bet is simple but ambitious: the next phase of the grid will come from increasing utilization rather than constantly building new infrastructure.
In our conversation, we explore:
How a failed college solar project and early energy experiments in India pulled Zach into the power industry
The lessons he absorbed from his parents, including truth-seeking, reinvention, and competitive endurance
How the U.S. grid’s regulatory structure discourages innovation and why Texas’s deregulated market creates space for new power companies
Why batteries are best understood as a time-shifting technology that increases grid utilization and reduces total system costs, not simply as energy generators
Base’s “make, move, store, sell” framework for thinking about the full power stack
How Base aims to become the first beloved energy company
How Zach identified Justin as a world-class operator and built the trust needed to go all-in together on a non-obvious idea
How aggressive AI adoption is compressing cycle times and why slow adopters risk falling behind
Granola: The app that might actually make you love meetings
Brex: The intelligent finance platform.
(00:00) Introduction to Zach Dell and Base
(03:06) The Hawaiian lava field solar project and early energy curiosity
(07:58) Investing vs. operating
(09:31) Lessons from Phil Jackson on aligning talented teams
(15:24) Lessons from his parents
(19:19) The loneliness of solo founding and the value of co-founders
(21:49) Justin’s strengths as a co-founder and how their partnership formed
(30:55) Why Base became the obvious focus
(32:21) The original vision and the three reversals
(35:49) The American power grid and what makes Texas different
(40:39) Why batteries matter and what Base is building
(41:44) How Base works in two market types
(45:59) Base’s core product
(47:43) The software behind Base’s battery network
(49:14) Base’s partnerships with battery cell makers
(50:43) The Gen 2 hardware mistake and the lesson in risk management
(52:00) Dino’s strengths as Head of Hardware
(53:20) Base’s positioning as grid infrastructure
(55:39) Building a beloved energy brand
(58:45) How hiring at Base has evolved
(1:01:54) AI workflows at Base
(1:03:44) Zach’s dedicated deep work time
(1:06:29) Final meditations
LinkedIn: https://www.linkedin.com/in/zach-dell-a631a554
Factfulness: Ten Reasons We’re Wrong About the World--and Why Things Are Better Than You Think: https://www.amazon.com/Factfulness-Reasons-World-Things-Better/dp/1250107814
Robert Greene’s books on Amazon: https://www.amazon.com/stores/Robert-Greene/author/B001IGV3IS
Bill Walton: https://en.wikipedia.org/wiki/Bill_Walton
John Wooden’s website: http://www.coachwooden.com
Phil Jackson on X: https://x.com/PhilJackson11
Michael Jordan: https://en.wikipedia.org/wiki/Michael_Jordan
Scottie Pippen: https://en.wikipedia.org/wiki/Scottie_Pippen
Kobe Bryant: https://en.wikipedia.org/wiki/Kobe_Bryant
Shaquille O’Neal: https://en.wikipedia.org/wiki/Shaquille_O%27Neal
Dennis Rodman: https://en.wikipedia.org/wiki/Dennis_Rodman
Justin Lopas on LinkedIn: https://www.linkedin.com/in/justinlopas
Jared Greene on LinkedIn: https://www.linkedin.com/in/jaredgreene1
Cole Jones on LinkedIn: https://www.linkedin.com/in/colecjones
Dana Paz on LinkedIn: https://www.linkedin.com/in/danapaz
Michael Scaria on LinkedIn: https://www.linkedin.com/in/michael-scaria-33383738
Dino Sasaridis on LinkedIn: https://www.linkedin.com/in/dino-sasaridis-b4674411
Michael Dell: https://en.wikipedia.org/wiki/Michael_Dell
Susan Dell: https://www.dell.org/employee/susan-dell
Packy McCormick’s blog: https://www.notboring.co
Blackstone: https://www.blackstone.com
Childhoods of exceptional people: https://www.henrikkarlsson.xyz/p/childhoods
Feynman Technique: The Ultimate Guide to Learning Anything Faster: https://fs.blog/feynman-technique
Anduril: https://www.anduril.com
Base Power Company: https://www.notboring.co/p/base-power-company
Base Power Company: Chapter 2: https://www.notboring.co/p/base-power-company-chapter-2
Austin Energy: https://austinenergy.com
GVEC: https://www.gvec.org
Bandera Electric: https://www.banderaelectric.com
Farmers Electric: https://farmerselectric.coop
NRG: https://www.nrg.com
Vista Energy: https://vistaenergymarketing.com
Costco: https://www.costco.com
Southwest Airlines: https://www.southwest.com\
HEB: https://www.heb.com
I’d love it if you’d subscribe and share the show. Your support makes all the difference as we try to bring more curious minds into the conversation.
Production and marketing by penname.co. For inquiries about sponsoring the podcast, email [email protected].
2026-02-26 22:58:49
“To be prepared against surprise is to be trained. To be prepared for surprise is to be educated.”
- James Carse, Finite and Infinite Games
Friends,
Evolutionary biology has the concept of “allopatric speciation,” the process that occurs when a species develops separately from those on the mainland. Saved from some evolutionary pressures and exposed to oth…
2026-02-24 21:03:32
“AGI should be just like natural intelligence. Something which plans, something which is able to predict, produce new knowledge, be cheap and efficient, and be adaptive to the environment. It should reason, it should not mimic.” — Eve Bodnia, Founder & CEO, Logical Intelligence
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Eve Bodnia is the co-founder and CEO of Logical Intelligence, which is developing energy-based reasoning models (EBMs) as an alternative to large language models. She argues that LLMs, which operate by recognizing and recombining patterns within language space, are structurally incapable of genuine reasoning. Eve's alternative: Kona—an EBM that reasons in abstract latent space, learns rules about the world rather than surface patterns, and can interface with language models as one output channel among many. Eve traces the core ideas behind her architecture to decades of work in symmetry groups, condensed matter physics, and brain science—fields that share, as she explains, the same underlying mathematics. In a public demo, Kona solved a complex reasoning task for roughly $4 in compute, compared to an estimated $15,000 using frontier LLMs. With Yann LeCun serving as founding chair of its technical board, Logical Intelligence sits at the center of a small but growing effort to rethink AI beyond language-based models.
In our conversation, we explore:
Why Eve believes LLMs can’t truly extrapolate knowledge, even at larger scale
What energy-based reasoning models are—and where the “energy” concept comes from
The $4 vs. $15,000 benchmark, and what it tells us about the cost of guessing vs. knowing
How Logical Intelligence showed spontaneous knowledge transfer at just 16M parameters
Why systems like chip design, surgical robotics, and power grids need more than probabilistic AI
What formally verified code generation means for the future of programming
Why the math behind particle physics also explains how the brain filters signal from noise
How meeting Grigori Perelman as a teenager shaped Eve’s views on ego and ownership in science
Why Eve believes humans must remain the constraint-setters in advanced AI
How meditation, piano, and Eastern philosophy support her creative process
Granola: The app that might actually make you love meetings.
Persona: Trusted identity verification for any use case.
(00:00) Introduction
(03:03) Eve’s encounter with Grigori Perelman
(05:38) Why bizarre people are Eve’s favorite people
(06:56) Her early obsession with math and physics
(09:02) The manifold hypothesis and language
(11:54) The Kekulé Problem
(14:05) Eve’s upbringing and her CERN research in high school
(17:40) Eve’s academic path
(20:36) Symmetry in nature
(22:58) Spirituality and creativity
(27:00) Theory vs. experiment
(29:03) Uncovering a critical gap in AI models
(33:45) What Logical Intelligence is building
(35:50) Logical Intelligence’s use cases
(42:08) Energy-based models explained
(45:06) LLMs vs. EBMs
(48:01) AGI defined
(51:22) Kona’s knowledge extrapolation
(53:20) The team behind Logical Intelligence
(58:09) Early investors in Logical Intelligence
(58:50) Feynman’s influence on Eve’s work
(1:01:15) How Eve sustains her creativity
(1:03:42) Final meditations
LinkedIn: https://www.linkedin.com/in/eve-bodnia-351b41355
X: https://x.com/evelovesolive
Website: https://logicalintelligence.com
The Creative Act: A Way of Being: https://www.amazon.com/Creative-Act-Way-Being/dp/0593652886
Impro: Improvisation and the Theatre: https://www.amazon.com/Impro-Improvisation-Theatre-Keith-Johnstone/dp/0878301178
Perfectly Reasonable Deviations from the Beaten Track: https://www.amazon.com/Perfectly-Reasonable-Deviations-Beaten-Track/dp/0465023711
Letting Go: The Pathway of Surrender: https://www.amazon.com/Letting-David-Hawkins-M-D-Ph-D/dp/1401945015
Grigori Perelman: https://en.wikipedia.org/wiki/Grigori_Perelman
Cormac McCarthy: https://en.wikipedia.org/wiki/Cormac_McCarthy
Rick Rubin on X: https://x.com/RickRubin
David Krakauer’s website: https://davidckrakauer.com
Yann LeCun on LinkedIn: https://www.linkedin.com/in/yann-lecun
Michael Freedman: https://www.microsoft.com/en-us/research/people/michaelf
Vladislav Isenbaev on LinkedIn: https://www.linkedin.com/in/isenbaev
Fields Medal: https://en.wikipedia.org/wiki/Fields_Medal
Manifold hypothesis: https://en.wikipedia.org/wiki/Manifold_hypothesis
The Kekulé Problem: https://nautil.us/the-kekul-problem-236574
CERN: https://www.home.cern
Can Humans Stay Smart in the Age of AI? (David Krakauer, President of the Santa Fe Institute): https://www.generalist.com/p/maintaining-human-intelligence-in-the-ai-era-david-krakauer
ICPC global: https://icpc.global
Eve’s post on X about Feynman’s writings: https://x.com/evelovesolive/status/2002470354485457115
Mahayana Buddhism: https://en.wikipedia.org/wiki/Mahayana
I’d love it if you’d subscribe and share the show. Your support makes all the difference as we try to bring more curious minds into the conversation.
Production and marketing by penname.co. For inquiries about sponsoring the podcast, email [email protected].