
The Learning Corner by Precursor
Mia Farnham, Charles Hudson · Mia Farnham
Show overview
The Learning Corner by Precursor has been publishing since 2024, and across the 2 years since has built a catalogue of 80 episodes. That works out to roughly 30 hours of audio in total. Releases follow a weekly cadence.
Episodes typically run twenty to thirty-five minutes — most land between 19 min and 22 min — and the run-time is fairly consistent across the catalogue. None of the episodes are flagged explicit by the publisher. It is catalogued as a EN-language Business show.
The show is actively publishing — the most recent episode landed yesterday, with 19 episodes already out so far this year. The busiest year was 2025, with 48 episodes published. Published by Mia Farnham.
From the publisher
Welcome to the Learning Corner, a weekly Precursor Ventures podcast, where members of the Precursor team walk through their favorite articles and news snippets across the venture ecosystem.
Latest Episodes
View all 80 episodesEpisode #79: Networking Is Mostly Cope, AI Is Changing What Skills Matter, CEO AI Psychosis
Episode #78: Owning Your AI Agents, When Your VC Leaves, Are You Actually AI-Native?
Episode #77: The Broken Seed Model, YC's Revenue Honesty Rules, China Blocks Meta's Manus Deal
Episode #76: My Biggest Founder Regret, Fundamental Truths in VC, SpaceX Cursor Partnership
Episode #75: Domain Expertise in Vertical AI, The Changing Math of Seed Investing, A Generation of Cheaters
Ep 74Episode #74: Round Names Are Dead, How To Ask For Advice, Private Wealth Goes Direct
This week on The Learning Corner, Mia and Charles dig into a piece by Ashley Smith of Vermilion Cliffs Ventures on why seed round names have become essentially meaningless, with YC Demo Day valuations hitting $40M post for companies with eight weeks of runway. They then unpack Auren Hoffman's sharp and practical breakdown of how to actually ask for advice without wasting people's time, and why closing the loop is the most underrated relationship builder in your network. The episode closes on a major structural shift in venture: family offices and private wealth firms cutting out VC middlemen and going directly into startups, as covered in a recent TechCrunch Equity episode. Tune in for a conversation spanning venture pricing, shifting capital dynamics, and the soft skills that still matter in a world full of AI answers.
Ep 73Episode #73: Startups Need Better Stories, The Value-Add LP Era, Agile Funding Is Back
This week on The Learning Corner, Ashley Mayer makes the case that tech's biggest players have forfeited the narrative and it is now up to startup founders to give people a reason to root for the future. Pavel Prata at Murph Capital argues that the value-add model that transformed venture is now playing out one layer up at the LP level, and most allocators haven't caught up yet. We also dig into Jenny Fielding's take on the return of agile funding and whether stacking small SAFEs in an AI-driven world is a founder-friendly evolution or a short-term optimization with long-term consequences. All that and more on this week's episode.
Ep 72Episode #72: Delve's Compliance Fraud, Has Startup Advice Ever Worked, OpenAI Refocuses
This week we cover the explosive whistleblower exposé on Delve, a YC-backed compliance startup accused of fabricating audit evidence and leaving hundreds of clients unknowingly exposed to legal liability. We then dig into Jerry Neumann's "We Have Learned Nothing," a data-backed argument that decades of startup frameworks have produced no measurable improvement in whether companies actually succeed. We close with the Wall Street Journal's reporting on OpenAI's major strategic pivot away from its "do everything" approach to refocus on coding and enterprise, and what that signals about competition with Anthropic.
Ep 71Episode #71: Symbolic Capitalism and the Attention Game, Token Output as a Performance KPI, Choosing Your Intellectual Shoulders
This week on The Learning Corner, Om Malik makes the case that reputation and perceived authority now convert faster than financial capital, and that the tech ecosystem has fully internalized that game. We then dig into a provocative LinkedIn post from CRV's Reid Christian, where CEOs are starting to build token output per month into formal performance reviews as a core KPI. We close with a thoughtful piece from Deciens on intellectual lineage and why choosing whose shoulders you stand on is one of the highest leverage decisions a founder or investor can make. Three reads, one tight conversation.
Ep 70Episode #70: The VC Returns Suck Narrative, Venture's Nifty Fifty Moment, The Four Approaches to Early Stage Venture
This week on The Learning Corner, Micah Rosenbloom from Founder Collective challenges the viral narrative that VC returns suck and asks whether we are all just spinning data to fit our own models. Jeff Weinstein draws a striking parallel between today's AI funding frenzy and the Nifty Fifty stocks of the 1970s, arguing that being right about a company has never been enough if you are wrong about the price. Rob Go at NextView rounds things out with a sharp framework breaking down the four approaches to early stage venture and what the real failure mode looks like for each. Three great reads with a lot to unpack across all of them.
Ep 69Episode #69: Anthropic's Safety Reckoning, Jack Dorsey Cuts Block in Half, The Venture Consensus Addiction
This week on The Learning Corner, Mia and Charles unpack the resignation letter of an Anthropic safety researcher who walked away from one of the most valuable companies in the world, alongside Anthropic quietly walking back its flagship safety commitment. They then dig into Jack Dorsey's decision to cut Block's workforce nearly in half, not because the business is struggling, but because he believes AI has fundamentally changed what it means to build a company. They close with a sharp LinkedIn post from Euclid Ventures GP Nic Poulos making the case that the venture industry has developed a consensus addiction, and the return data to back it up is hard to ignore.
Ep 68Episode #68: The 2028 AI Crisis Memo, Rethinking Series A, 2021 Founders Hitting Reset
This week we dig into the viral Citrini Research "2028 Global Intelligence Crisis" memo, a scenario written from the future that rattled public markets and sparked a real conversation about what happens when AI works exactly as promised. We also highlight a great StrictlyVC Download episode with Stacy Brown-Philpot, founder of Cherryrock Capital, on what it takes to win at Series A in today's market. We close with a LinkedIn post from Alex Pall of Mantis Venture Capital on 2021-vintage founders hitting a first-principles reset in the age of AI.
Ep 67Episode #67: Always In The Office, Bubbles vs. Balloons, Tool Shaped Objects
This week we're joined by a special guest, Ariana Ferwerda, CEO and co-founder of Halfdays, a women's ski and outdoor wear brand, to discuss her piece on why her team will always be in the office and the inflection points that brought them from remote to fully in-person. Then, Charles and Mia dig into Kanyi Maqubela's "Bubbles and Balloons," which argues the 2021 market wasn't a bubble but a slow deflation, and whether the AI boom is simply re-inflating the same balloon. They close with Will Manidis' "Tool Shaped Objects," a sharp response to viral AI doom content that challenges whether the current AI infrastructure boom is producing real productivity or just the feeling of it.
Ep 66Episode #66: AI Fatigue Is Real, Patient Capital Will Eat VC, Building a GP Reference List
This week on The Learning Corner, Mia and Charles unpack why AI is making engineers more productive but more exhausted, exploring the hidden cost of constant tool evaluation and "thinking atrophy." They then dig into a provocative argument that venture capital's traditional model is fundamentally breaking down and why the future looks more like permanent capital than ten year fund structures. Finally, they walk through Julia Maltby's tactical guide on building a GP reference list that actually closes LPs, including why your best reference might be a founder from a deal that didn't work out.
Ep 65Episode #65: I See Dead VCs, Tech Media Echo Chambers, VC-Backed Startups' Status Collapse
This week features Beezer Clarkson from Sapphire Partners discussing her analysis on venture's first substantial firm contraction in 20+ years, with fewer than half of existing VC firms actively investing. We examine Om Malik's critique of access journalism dominating tech media, where velocity trumps substance. Finally, Michael Dempsey's essay argues that VC-backed startups have undergone the same status collapse as investment banking, becoming the unremarkable default path for ambitious talent rather than a signal of contrarian vision.
Ep 64Episode #64: Hubristic Fundraising's Hidden Costs, VCs Can't Win Talent, SaaS Death Greatly Exaggerated
This week we discuss Jason Lemkin's analysis of Brex's $5.15B exit and how hubristic fundraising creates impossible success benchmarks, Auren Hoffman's controversial claim that VCs overpromise their ability to help with hiring in today's AI talent war, and Saanya Ojha's defense of SaaS business models against claims of obsolescence. We explore why massive valuations attract mercenaries over missionaries, whether venture capital firms can truly move the needle on talent acquisition, and how vendor fatigue and data moats protect incumbents from AI disruption. Join us as we challenge conventional wisdom on fundraising strategy, investor value-add, and the future of enterprise software.
Ep 63Episode #63: Sequoia Breaks Portfolio Conflict Rules, Pre-Seed Is Dead?, FAANG to Startup Regret
This week we discuss Sequoia's groundbreaking decision to invest in Anthropic despite existing stakes in OpenAI and xAI, challenging traditional VC taboos around backing competitors. We explore why pre-seed fundraising has fundamentally changed, with most founders now needing $300K ARR just to get meetings. Finally, we examine a candid reflection from an ex-Amazon employee who regretted leaving FAANG for a startup, highlighting the mission-driven intensity required to succeed in early-stage companies.
Ep 62Episode #62: Firm Over Fund, Relevance Decays, The Privilege of Belief
This week we explore David Haber's framework on why most investors run funds but few build lasting firms, and what it takes to create a defensible moat in venture capital. Sarah Guo reminds us that relevance decays without constant market engagement, especially in the compressed timelines of AI companies where first principles thinking matters more than inherited pattern matching. We close with Michael Dempsey's piece on the privilege of belief in early-stage investing, examining what steadfast conviction looks like when operating with incomplete or no data. From institutional durability to personal conviction, we unpack what separates temporary success from lasting impact in venture.
Ep 61Episode #61: AI-Generated Reddit Hoax, Tech Career Crisis, Venture FOMO Reality
This week we unpack the viral AI food delivery hoax that fooled thousands on Reddit and what it reveals about misinformation in 2026. We discuss the crisis of career fulfillment in tech as layoffs continue while startups struggle to find talent. Finally, Roger Ehrenberg shares an honest take on the insecurities every venture investor faces and why playing your own game matters more than ever.
Ep 60Episode #60: The 2025 Venture Review feat. Hunter Walk (Homebrew, Screendoor) and Peter Walker (Carta)
This end‑of‑year episode of The Learning Corner by Precursor brings together our first podcast guests, Hunter Walk (Homebrew, Screendoor) and Peter Walker (Carta) for a wide‑ranging conversation on how venture capital has evolved in 2025. We unpack ballooning early‑stage valuations, the distortion created by media attention, and how few companies actually sit at the top of the market. We also discuss today’s exit landscape, growing pressure for liquidity, the rise of secondaries, and what recent IPOs and M&A activity mean for funds of different sizes. We close by examining what early‑stage venture really looks like today, from changing GP‑LP dynamics to faster paths to scale and the push to build more with smaller teams.