Supercompanies with Greg Shove

About Supercompanies with Greg Shove

Every two weeks, Supercompanies brings you unfiltered conversations with the founders and CEOs actually building AI-native companies right now, no theory, no hype, just what's working and what's failing inside real organizations. Hosted by Greg Shove, CEO of Section and a tech executive since before the Y2K scare, having founded seven companies including his time at AOL. Guests have included Zapier's Wade Foster, Fanvue's Joel Morris, and Logitech's Eric Porres. Video versions of every episode, along with clips and highlights, are available on YouTube at @SupercompaniesPod.

Publisher

Section AI

Category

business · news · technology

Language

en

Explicit

No

First episode

11 Nov 2025

Latest episode

11 Nov 2026

Latest episodes

25 episodes in the feed.

1. 

   11 Nov 2026

   Why AI Makes Entrepreneurship More Human with Nicholas Thorne (Audos)

   Nicholas Thorne, co-founder of Audos, joins Greg Shove to explain why his company gives founders up to $100,000 and a team of AI agents and takes no equity in return. Nick spent his first two years out of Yale at Goldman Sachs before co-founding Prehype, where he and his partner Henrik helped launch companies like Bark, Rho, and Public by giving entrepreneurs space, both physical and financial, to find the right idea before raising capital. That decade of lessons became the foundation for their book, “Me, My Customer, and AI,” and eventually Audos, a platform built around Otto, an AI agent that acts as startup coach, orchestrator, and collaborator for what Nick calls “everyday entrepreneurs.” In this episode, Nick and Greg discuss: Why Audos takes a revenue share instead of equity, and how that aligns incentives differently than traditional venture funding The concept of “founder-customer fit,” and why authentic connection to a customer matters more than being first to an idea Why vibe coding can actually delay the real test of a business: colliding with 100 real customers as fast as possible Why AI adoption has made Nick spend more time on the phone with entrepreneurs, not less, as technical hurdles disappear How Otto’s agent store lets entrepreneurs delegate specialized tasks, like PR, to other purpose built agents in the network Why Audos subsidizes entrepreneurs’ token spend the way a recording studio doesn’t charge for electricity or microphones His updated thesis on “small but mighty” companies, likely two or three people rather than one, and why the opportunity space is barbelling toward either very small or very large businesses Why human relationships and community, not just tooling, are what will keep entrepreneurs on platforms like Audos long term If you’re thinking about starting a business with AI as your first hire, or wondering whether the rise of solo and small team entrepreneurship is really happening, this conversation is a grounded look at what’s actually changing, and what isn’t. Links To Nicholas Thorne: Audos (company): audos.com Book — “Me, My Customer, and AI: The New Rules of Entrepreneurship” (co-authored with Henrik Werdelin, Simon & Schuster): simonandschuster.com/authors/Nicholas-Thorne/237541415 Prehype (his venture studio): prehype.com LinkedIn: linkedin.com/in/thorneny/

2. 

   28 Oct 2026

   Julia Stiglitz: Most Companies Aren’t Even Close to AI-Native

   Julia Stiglitz, co-founder and former CEO of Uplimit, joins Greg Shove to explain how her company pivoted twice in the AI era — ending in an acquisition by Handshake — and what she learned building an AI-native team of 30 people along the way. Uplimit started in 2021 with a thesis that AI could make online learning actually work. A year later, ChatGPT launched and forced a full rethink. Julia and her team discovered that the AI-powered learning platform they were building mattered more than the content on it — eventually arriving at the “AI Skills Instructor,” a system that generates personalized coaching experiences instead of static courses. That product became the foundation for Handshake’s new education vertical, built for a platform with 1,600 universities, 25 million students and alumni, and a million employers. In this episode, Julia and Greg discuss: Why Uplimit pivoted away from content creation entirely, and how hard it is to let go of a product you’ve already invested time and energy building The “work slop” problem — when AI makes individual output faster but pushes editing and review burden upstream to leadership Redesigning product workflows so designers prototype in code instead of Figma, and what that does to team dynamics Why workflow and role changes are harder to drive than individual AI adoption, especially in larger organizations The “barbell” hiring model — pairing AI-native early-career hires with experienced judgment — and why she believes the “AI is killing entry-level jobs” narrative is overstated Why discipline and focused vision matter more than ever now that building and discarding prototypes costs almost nothing Why enduring skills — agency, ownership, curiosity — will separate the top 1% of workers from everyone AI brings to “upper middle” If you’re navigating a pivot, rethinking how your team builds, or trying to figure out whether AI adoption is changing your org for better or worse, this conversation is a candid look at what that process actually requires.

3. 

   21 Oct 2026

   Why Headcount No Longer Equals Growth with Janie Lee (Abridge)

   Janie Lee, who leads product at Abridge, joins Greg Shove to explain why “quality versus speed” is a false trade-off in AI-native product development — and what it actually takes to build trustworthy AI in the highest-stakes, most regulated industry there is. Janie built her product career at Box, Opendoor, and Loom before joining Abridge, a healthcare AI company live at over 300 health systems that turns the patient-clinician conversation into clinical notes, billing codes, and proactive care recommendations. She describes healthcare AI as “hard mode on hard mode” — where a 5% error rate isn’t just a bad outcome, it’s a patient safety risk. In this episode, Janie and Greg discuss: Why the quality-versus-speed trade-off has become a false choice, and how smaller, AI-leveraged teams are shipping at what used to take 15-20 people How Abridge balances deep interoperability with Epic and other EHRs instead of trying to bypass them Hiring for taste and judgment through live, unscripted problem-solving exercises instead of traditional interviews Why experience and “AI-native” are no longer a trade-off — both are now table stakes Setting inference budgets per clinical encounter to balance innovation with cost efficiency Fighting “AI work sloth” with a simple standard: would you put your name on this? Why headcount growth no longer scales linearly with business growth, and how Abridge rethinks hiring from first principles Advice for product leaders and CEOs on building AI-native teams in the next 30 days If you’re building AI products in a regulated, high-stakes industry — or trying to figure out how much to trust AI with real consequences — this conversation is a grounded look at what that actually requires.

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

Apple Podcasts (US)

4.9 / 5

7 ratings

Spotify

5.0 / 5

3 ratings

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Guest appearances

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Based on episode analysis; this does not confirm that the show is currently accepting guests.

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