Episode #53: The Magic of DTC, Power of Iteration Speed, Secondaries in Term Sheets

We’re digging into three thought-provoking topics shaping the current startup and investing landscape: 🧼 Coterie’s $650M Exit & the Return of DTC M&A – We break down Brian Sugar’s “One Brand is Luck, Two is Strategy,” and why pure-play DTC brands with strong economics and customer devotion are back on the radar for modern acquirers. ⚡️ Iteration Speed & the Path to Series A – Hadley Harris of Eniac Ventures shares why iteration speed is the best predictor of Series A readiness, and how founders can prioritize feedback loops and kill ideas quickly to increase their odds. 💸 Secondaries in Term Sheets – A recent Axios note suggests Menlo Ventures is now pre-negotiating secondary sale conditions into early-stage term sheets. We unpack what this means, why it matters, and whether this becomes a new norm.

Episode #52: Goldman Sachs Acquires Industry Ventures, Is AI Causing Brain Obesity?, Investing In A Friend's Company

This week on The Learning Corner, Mia and Charles discuss Goldman Sachs’ acquisition of Industry Ventures and what it signals for the venture ecosystem, Maria Gonzalez Blanch’s take on “brain obesity” in the age of AI, and a recent post from Erica Wenger about friends investing in friends. We break down what it means for community, trust, and evolving norms in tech.

Episode #51: Three Venture Paths, When Great People Leave, Solo Founders

In this week’s episode of The Learning Corner by Precursor, Mia and Charles explore three themes shaping today’s startup and VC landscape: The Three Lanes of Modern Venture – What type of fund are you really building? John Vrionis lays out three distinct approaches VCs are taking today. When Great People Leave – How do strong leaders navigate inevitable departures? Lessons from Taps Notes on leadership, transitions, and grace. The Solo Founder Debate – If solo founders can succeed, why don’t more VCs back them? Itamar Novick shares thoughts on survivorship bias and what makes solo builders special. Tune in for a thoughtful discussion on the shifting expectations of investors, how to support teams through change, and why the solo founder conversation is evolving fast.

Episode #50: What Does ARR Mean?, High Agency in Silicon Valley, Debt Fueling The Next AI Wave

We start with a Fortune article on how founders are using “creative accounting” to boost ARR, once the gold standard for SaaS success and now a much murkier metric in the AI era. What used to be a reliable sign of recurring revenue has drifted into “vibe revenue,” and we talk about what that means for investors and founders trying to benchmark growth. Next, we dive into Jasmine Sun’s blog on Silicon Valley’s cultural lexicon, “high agency,” “NPCs,” “996,” “taste,” and “decel/doomer.” These memes reflect deeper anxieties about meaning, ambition, and the pressure to win in today’s AI-driven world. We share our reactions to which of these terms resonate most, and what they say about tech culture right now. Finally, we turn to the Wall Street Journal’s coverage of how debt is fueling the AI boom. With Oracle, CoreWeave, and others leveraging massive loans to secure infrastructure and power, we discuss whether this strategy is a smart bet on future demand or a dangerous setup for a bubble if growth slows.

Episode #49: Making Money on AI, Consumer Deserves Attention from Investors, Nvidia Invests in OpenAI

We explore Jerry Neumann's "AI Will Not Make You Rich," which argues that transformative technologies like AI may not deliver lasting competitive advantages, using economist Carlota Perez's tech wave framework to examine whether we're in the "frenzy" or "irruption" stage of AI development. Next, we dive into the curious disconnect in consumer tech markets, where VC funding has dropped from 15% to 5% of venture dollars despite consumer companies significantly outperforming the Nasdaq-100. Charles discusses why Precursor remains bullish on out-of-favor sectors and whether AI-powered personalization could revive investor interest in consumer tech. Finally, we examine Nvidia's $100 billion investment in OpenAI and what this reveals about the interconnected web between chip makers, data centers, and AI companies.

Episode #48: VCs are Cockroaches, Engineers Fixing Vibe-Coded Projects, Serial Entrepreneurs Continue to be Favored

This week on The Learning Corner, Mia and Charles explore three compelling venture capital topics: (1) Micah Rosenbloom's comparison of VCs to "cockroaches" and why fund consolidation remains unlikely despite market pressures, (2) the emerging trend of software engineers being paid to fix AI-generated "vibe-coded" projects that need human expertise to become functional, and (3) new Pitchbook data revealing how serial founders maintain a significant 2-3x fundraising advantage over first-time entrepreneurs in today's cautious investment climate.

Episode #47: We Are The Enemy, The AI Productivity Paradox, Anthropic's Author Class Action

First, we dive into “We Have Met the Enemy and He Is Us” by Euclid Ventures, which explores how venture capital is drifting from its roots as a market for independent thinkers. Next up is “The AI Productivity Paradox” from Sequoia’s Inference, which explores why widespread AI adoption hasn’t translated into real productivity gains. Lastly, we break down the recent Reuters story about Anthropic’s $1.5 billion settlement in a landmark author copyright case. Soon after we recorded, the Judge stepped in and rejected the settlement.

Episode #46: AI Troubles for Taco Bell, Is Non-Consensus Dangerous, Are Software Economics Going Off a Cliff with AI

This week on The Learning Corner by Precursor, Mia and Charles dive into three major topics shaping the future of AI, startups, and software economics: Taco Bell’s Voice AI Troubles: A WSJ piece reveals just how glitchy the chain’s drive-thru AI rollout has been—and why they’re rethinking it entirely. Charles shares why these failures might actually be a good sign of progress and what’s at stake when AI misfires in higher-risk industries like healthcare and finance. The Myth of “Non-Consensus” Investing: A provocative thread from Martin Casado questions whether early-stage investors are placing too much faith in being contrarian. Is alpha really found in non-consensus bets—or does follow-on capital always chase what’s hot? The Software Margin Cliff: A brilliant Substack from Sam Schillace suggests that AI is driving software economics off a cliff. As inference costs grow and traditional SaaS margins shrink, the industry may look more like manufacturing than the creative playground it used to be.

Episode #45: Hire the experimenters, Lessons from "failed" enterprise AI pilots, Valuations soar past the 2021 bubble

We kick off the episode by discussing Rebecca Kaden’s essay, “Hire the Experimenters”, which argues that speed, adaptability, and creative risk-taking are more valuable than traditional credentials in today’s AI-driven startup world. We explore how this mindset shift is reshaping what “great hiring” looks like for early teams — and whether that flexibility can translate into long-term defensibility. Then we break down the MIT report on generative AI deployment across enterprise — and the not-so-great news that 95% of pilots are failing. Charles shares his opinion that these "failures" are signs of future success. Finally, we look at Peter Walker’s data-packed breakdown of bubble-era valuations reappearing at Seed and Series A. With median valuations at the 99th percentile soaring past $160M for Seed and $700M+ for Series A, we ask: what does this mean for startups trying to raise now, and how do you tell signal from noise?

Episode #44: Founding Engineers Are Impossible To Hire, Regulators Come For AI Therapy Chatbots, What VCs Get Wrong About Hiring

This week on The Learning Corner, we dig into the changing dynamics of talent, regulation, and hiring in venture. We start with the San Francisco Standard’s piece on why founding engineers are suddenly the most coveted hire in Silicon Valley, and how the expectations for technical co-founders have shifted post-AI. Next, we explore Platformer News’s report on the political crackdown on AI therapy bots. As states move to regulate AI mental health tools, we debate where the line should be drawn between helpful support and unlicensed therapy, and what it means for builders in this space. Finally, we unpack Amplify Partners’ post on why most VC firms hire associates wrong. Charles shares what he’s learned from hiring across multiple funds at Precursor, and we discuss what it looks like to truly invest in future partners from the earliest stages of their careers.

Episode #43: Two Silicon Valley Modalities, Are VCs Independent Thinkers?, 20 Somethings Swarming SF

This week on The Learning Corner, we explore three perspectives shaping how startups get built and funded in today’s environment. We start with Aditya Agarwal’s LinkedIn post on the two competing startup modalities in Silicon Valley: those building in legible, fast-moving spaces where speed is the moat, versus those tackling illegible, contrarian ideas that take longer to crystallize. We discuss how investors say they want one, but often fund the other. Next, we dive into Rosie Bradbury’s PitchBook piece on whether VCs are truly independent thinkers. We break down new data showing how frequently top firms co-invest, and what it means for the myth of proprietary deal flow. Finally, we unpack the New York Times’ coverage of the wave of 20-something founders flooding San Francisco to build AI startups. From teen dropouts to meme marketing, we reflect on how this boom compares to past cycles and what might be different this time around.

Episode #42: The "Winners" in AI Today, DaaS Is Not Venture Backable, Seed Rounds Grow As Startups Shrink

This week on The Learning Corner, we dive into three sharp pieces exploring the evolving shape of venture. We kick off with Elad Gil’s take on why AI markets are finally gaining clarity, with key winners emerging across foundational models, code, legal, and customer experience. We ask: can new entrants still break through if they’re not one of the early, well-capitalized names? Next, we unpack Auren Hoffman’s argument that data businesses, while solid, often aren’t built for venture scale. As more investors rethink their appetite for pure-play DaaS models, we explore where data companies can still attract VC interest, especially as AI blurs the line between tooling and infrastructure. Lastly, we discuss Tomasz Tunguz’s piece on why seed rounds are getting larger even as startups shrink. From inflated pre-seed valuations to AI-powered team efficiency, we reflect on the new expectations being placed on early-stage companies and where those pressures might lead next.

Episode #41: Investor to Fund Manager, Picking the RIGHT Capital, Seed Is Experiencing A Crisis

This week on The Learning Corner, we dive into the evolving reality of seed-stage venture capital. We kick things off with takeaways from the Superclusters podcast, where the team at Screendoor shares what LPs are really looking for in emerging fund managers today. Charles reflects on how the role of a fund manager shifts as firms scale, and what skills matter most beyond just investing. Next, we unpack a thoughtful post by Halfdays founder Ariana Ferwerda on how founders should approach choosing investors. We discuss the subtle red flags that surface post-term sheet and what questions can help founders protect their long-term vision. Finally, we break down Rob Go’s post on the existential moment facing seed VC, exploring whether this is just a temporary reset or a long-term shift in how early-stage investing works. Whether you’re a founder navigating early fundraising or a VC trying to adapt in a changing market, this episode offers timely insight from both sides of the table.

Episode #40: Windsurf "Blitzhire", Demystifying Venture Speak, Founders Running "Fast and Loose"

In this episode of The Learning Corner, Mia Farnham and Charles Hudson dig into three big conversations lighting up the venture world: 🔥 First, we break down the Windsurf “Blitzhire” saga—why a $3B OpenAI deal fell apart, how Google swooped in with a $2.4B licensing play, and what this trend of acqui-hire-meets-IP deals means for the future of AI M&A. 💭 Then, we turn to Sergio Rodenzuela’s recent post demystifying how VC really works for early founders—from fundraising realities to the quiet pivots firms make behind the scenes. 🎙️ And finally, we reflect on Jared Hecht’s wild early fundraising tales from the GroupMe days, what advantages and blunders can occur when you operate fast and loose. It’s a sharp, fast-paced episode packed with founder lessons, venture trends, and hot takes on where the industry is heading.

Episode #39: Adopting Parent Investors, The Art of Curating Fund Manager Investment Opportunities, AI Product Pricing Today

Welcome back to The Learning Corner by Precursor, hosted by Mia Farnham and Charles Hudson. After a quick break for the Fourth of July, we’re back with a jam-packed episode covering some of the most thought-provoking conversations in early-stage venture. In this episode: We explore the concept of the adopting parent investor, how VCs can step into existing board relationships with thoughtfulness, transparency, and full commitment, based on Micah Rosenbloom’s recent reflection on partnering with founders after transitions. We unpack a dense and valuable discussion from The Peel between Samir Kaji and Turner Novak on fundraising, secondary dynamics, and the impact AI is having on how GPs and allocators think about portfolio construction today. We break down a sharp framework from Emergence Capital on pricing AI software. From labor budget shifts to outcome-based pricing and managing LLM costs, we dig into what’s changing,and what founders need to watch out for.

Episode #38: First Round Capital Reflections and How Fundraising and Seeking an Acquisition Opportunity Are Mutually Exclusive

In this week’s episode of The Learning Corner, Mia Farnham and Charles Hudson dive into two thought-provoking pieces on modern venture capital and founder decision-making under pressure. First, we unpack Uncapped’s interview with Josh Kopelman of First Round Capital. From the “Blackstoneification of Venture” to his tongue-in-cheek “Venture Arrogance Score,” Kopelman challenges conventional thinking around fund scale, relevance, and value creation. We also touch on secondaries, post-mortems, and what it means to run a venture firm like an operating company. Then we turn to a sharp LinkedIn post by Rohit Mittal on the tough calls founders must make when stuck between raising at a down round or selling. He argues that “exploring options” often leads to nowhere—and that choosing a path with conviction is more important than ever. Charles shares real-world insights on dual-track processes, founder psychology, and how investors can best support teams facing runway crunches.

Episode #37: Bill Gurley's Market Realities, Geo- Arbitrage Investing, The Acquihire Wave

This week on The Learning Corner by Precursor: Reflections from Invest Like the Best’s episode featuring Bill Gurley. From zombie unicorns to misaligned fund incentives, Gurley addresses the long arc of staying private and the system-wide pressures created by illiquidity, consensus strategies, and overcapitalization. We dig into Alex Lazarow’s post on how Chime borrowed elements from international fintech giants like Nubank and Toss and what it means to apply lessons from one market to another. What makes geo-arbitrage work, and why hasn’t live commerce, which has seen major success in China, taken off in the U.S.? Finally, we dive into Tomasz Tunguz’s prediction that acquihires are poised for a resurgence. With seed deal volume spiking post-2021 but Series A slots staying flat, we explore how structural pressure is creating an environment ripe for sub-$20M talent buys, especially in AI.

Episode #36: Founder Optimism, Seed Math Is Broken, Aumni Venture Beacon Report

In this week’s episode of The Learning Corner, recorded in person during Precursor’s team onsite in San Francisco, Mia Farnham and Charles Hudson dive into the following topics: Embracing Optimism in Venture Inspired by a recent essay from Collin and Joshua Wallace, we explore the often-overlooked value of modeling best-case scenarios. While founders and investors are trained to anticipate risk, we ask: what would it look like to plan with optimism, and why is that mindset essential to long-term success? Bill Gurley on the Broken Math of Seed We break down Hadley Harris’ viral thread and Bill Gurley’s response on how price does matter in seed investing and how it could become more difficult to win back ownership in follow on strategy. Aumni’s Q1 2025 Venture Beacon Report With deal sizes compressing and investor protections rising, we examine the broader recalibration of the venture market.

Episode #35: A Founder's Postmortem, Teachers And The AI Dilemma, Emerging GTM Across AI

In this episode of The Learning Corner by Precursor, Mia Farnham and Charles Hudson explore the emotional rollercoaster faced by startup founders, shedding light on the prevalence of burnout and the implications of startup culture on personal well-being. They delve into the role of AI in education, discussing both the hurdles and opportunities it presents. The conversation broadens to the global repercussions of AI transformation and its influence on venture capital dynamics. Additionally, they examine the business models and inherent challenges confronting AI companies.

Episode #34: AI’s Labor Problem, Bridge Round Realities & Big Tech’s Acqui-License Deals

In this episode of The Learning Corner by Precursor, hosts Mia Farnham and Charles Hudson dive into the week’s most thought-provoking articles and trends shaping tech, venture capital, and the future of work. They explore the growing tension between AI advancement and labor displacement, discussing how automation is reshaping entry-level jobs and what it means for the next generation of workers. The conversation also unpacks the realities behind “bridge rounds” in startup funding—when they work, when they don’t, and what founders and investors should consider before doubling down. Finally, Mia and Charles break down the DOJ’s antitrust investigation into Google’s acquisition tactics in the AI space, and what these new “acqui-license” deals mean for founders, incumbents, and the broader tech ecosystem. Tune in for candid insights, practical advice, and a behind-the-scenes look at the decisions shaping tomorrow’s economy.