Latest Interviews
Showing 166–180 of 641 transcripts.
Clear all filtersChime IPO: Are IPOs Hotter Than Ever?
Rory O'Driscoll, Jason Lemkin, Harry Stebbings, Garrett
Meta paid $14.8 billion to acquire 49% non-voting control of Scale AI while returning nearly the full amount to existing investors via a special dividend, effectively allowing CEO Alex Wang to move to Meta and shifting the competitive landscape for rivals like OpenAI and Anthropic. The transaction, viewed primarily as a strategic talent acquisition and market signal, leaves Scale AI with diminished assets while triggering immediate demand surges as competitors seek alternative data providers. Concurrently, the deal highlights broader trends in the AI sector, including OpenAI's new Pentagon contract and rising forecasts for Chinese model dominance, all occurring amidst a resurgent IPO market featuring successful listings like Chime and imminent filings from Databricks.
Larry Aschebrook, Founder & MP @GSquared: How We Lost Money on Uber and Made Millions on Lyft
Larry Aschebrook, Harry Stebbings
G Squared founder Larry Ashbrook leveraged a concentrated, "productively paranoid" strategy to generate $800 million in returns from Coursera and establish a top-ten stake in Spotify before a 2021 pivot revealed significant capital erosion from overpaying for assets like Getir and 23andMe. Following these missteps, which included a personal $2–3 million loss on Theranos and an estimated $500 million total value decline, the firm restructured its 2020 vintage to prioritize DPI metrics, IRR hurdles, and disciplined guardrails over traditional valuation multiples. Now navigating a tough fundraising climate for its $1.2 billion 2022 vintage, the firm has shifted focus toward AI infrastructure and high-frequency micro-transactions to rebuild capital efficiency while maintaining a portfolio concentrated in only ten high-conviction companies.
Elon’s Empire: SpaceX, Tesla, Neuralink After the Storm & Anduril’s $2.6BN Power Move
Elon, Rory O'Driscoll, Jason Lemkin, Harry Stebbings
The United States retains dominant global market share driven by an open IPO window and significant secondary market performance, though structural inefficiencies regarding underpricing and information asymmetry persist for founders and venture capitalists. Concurrently, the SaaS sector faces maturation pressures where AI adoption reshapes pricing power and market value, creating divergent outcomes between enterprise clients and commoditized small business solutions. Meanwhile, broader market dynamics are influenced by strategic corporate shifts, including high-profile legal battles over AI data, potential leadership changes at major tech firms, and a capital flight from international exchanges toward US liquidity.
Fiverr CEO & Founder, Micha Kaufman: "If You’re Not Adapting to AI, F* You. You’re Done!"
Micha Kaufman, Harry Stebbings
The speaker asserts that individual accountability is the only path to remaining valuable in an era where AI rapidly democratizes skills and collapses the defensibility of incremental innovation. He warns that companies failing to transition their workforce toward strategic, human-centric thinking will face obsolescence, while investors must prioritize founder mission over technical ideas as market forces consolidate around foundational players. Ultimately, the event outlines a future where traditional education becomes obsolete, copyright structures unravel, and the only sustainable advantage lies in authentic human curation and the ability to leverage AI-native velocity.
Is DPI The Only Thing That Matters? with Sam Lessin, Jason Lemkin & Rory O’Driscoll
Sam Lessin, Jason Lemkin, Rory O’Driscoll, Harry Stebbings
Panelists debated the superiority of DPI over TVPI while noting the collapse of mid-tier venture funds has forced a binary market between mega-funds and smaller entities. The discussion highlighted a surge in hyperscaler capital expenditure for AI infrastructure, warning of potential corrections if revenue growth fails to materialize within two to three years. Strategic predictions further pointed to imminent IPOs for crypto giant Circle and a structural shift in B2B SaaS where AI agents replace traditional user interfaces.
Windsurf CEO & Co-Founder, Varun Mohan: AI's Biggest Acquisition to Date!
Windsurf CEO Varun strategically pivoted his company from autonomous vehicle infrastructure to Code AI, launching a proprietary IDE to deliver agentic coding tools that now derive over half its revenue from enterprise clients like JPMorgan Chase. By prioritizing rapid weekly releases and a 100% in-person culture, the startup differentiates itself from hyperscalers by competing on execution speed and deep backend specialization rather than relying on commoditized model layers. This aggressive approach aims to reduce software development time by 99% while acknowledging that future AI agents will expand beyond writing code to debugging complex systems and navigating legacy workflows.
OpenAI’s $6BN Jony Ive Deal & YC Is Both Chanel and Walmart, and Has Officially Won!
Jony Ive, Rory O'Driscoll, Jason Lemkin, Harry Stebbings
Venture capital strategies for funds exceeding $6 billion now prioritize extreme capital concentration in single top-tier winners to offset the mathematical improbability of traditional fund return models. Concurrently, the AI sector is reshaping dilution dynamics and talent acquisition, with founders prioritizing engineering retention over capital provision while facing rising early-stage dilution rates of 66%. Finally, market sentiment is shifting toward stricter IPO requirements for profitability and revenue, alongside a consensus that AGI economic utility will be defined by contract leverage around 2028 rather than pure technical milestones.
Airwallex CEO & Co-Founder, Jack Zhang: The Angel That Turned $1M into $1BN
Jack, the immigrant founder and CEO of Airwallex, navigated early financial hardship and multiple failed pivots to transform his company into a global payments infrastructure powerhouse that rejected a $1.175 billion acquisition offer from Stripe in 2018. Under his leadership, the firm achieved consistent year-over-year growth exceeding 100%, reached $700 million in revenue by early 2024, and secured a $300 million valuation at $9 billion. Today, Airwallex is positioned to become a full global bank with over $1 billion in projected revenue, driven by a strategy focused on long-term vision rather than immediate exits.
Rippling vs. Deel Lawsuit: WTF Happens Now? The Future of the Late Stage Private Market
Rory O'Driscoll, Jason Lemkin, Harry Stebbings
The Chime S1 filing reveals an expected IPO valuation of $10 billion to $12 billion, a significant drop from its $25 billion private peak driven by regulatory reliance on the Durbin Amendment and potential investor ratchet protections. This event reflects broader venture market shifts where financial services firms prioritize public listings for scalable capital while AI adoption threatens traditional SaaS moats by commoditizing core applications. Concurrently, corporate strategies are pivoting toward aggressive settlements in legal disputes and structural transitions like OpenAI's move to a Public Benefit Corporation to navigate governance and profitability challenges.
Duolingo Co-Founder, Severin Hacker: How AI Impacts the Future of Work and Education
Severin Hacker, Harry Stebbings
Duolingo's leadership detailed their strategic pivot to an "AI-first" identity, leveraging artificial intelligence to accelerate content creation by over twelve-fold while repositioning the company as a credentialing platform rather than a simple instructor. Co-founders Severin and Luis explained their operational shift from a flat structure to a hybrid hierarchy that retains university graduates for cultural relevance despite increased automation efficiency. The discussion further highlighted critical fundraising insights, noting the superior signaling value of a Series A round over later stages, and contrasted Duolingo's retention-focused "motivation engine" against competitors that rely solely on generative AI features.
OpenAI, SBF & Perplexity: What VCs Know That You Don’t
SBF, Rory O'Driscoll, Jason Lemkin, Harry Stebbings
Venture capital dynamics have shifted toward extreme concentration and speed, with firms like Sequoia and Tiger Global prioritizing massive stakes in high-conviction AI winners such as OpenAI and Scale AI to offset broader portfolio losses. Simultaneously, corporate strategies are evolving from hyperbolic job replacement rhetoric to gradual operational integration, as companies like Microsoft and Klarna balance aggressive automation goals with the reality of retaining human oversight for complex tasks. This environment is characterized by a contraction in early-stage funding that demands hard traction, while retail access expands through new vehicles despite lingering risks regarding valuation bubbles and liquidity constraints.
20VC Exclusive: Mercury Founder Launches First $26M Fund with Immad Akhund
After closing a $26 million institutional fund with a 60/40 split of Fund of Funds and entrepreneur limited partners, Harry expanded his portfolio strategy to target 60 diverse companies while integrating Yash Doshi as a full-time operating partner. Drawing on over 350 prior angel investments and lessons from successes like TrueBill and the regret of rejecting Scale AI, Harry advocates for a "decahorn" hunting approach that prioritizes serial founders and accepts high valuations to preserve optionality. Looking forward, the fund is shifting allocations toward hard tech and AI while positioning Mercury for a $2.5 trillion integrated banking market, with plans to scale the portfolio to 150 companies and potentially lead seed rounds.
Benchmark vs a16z: Why Stage Specific Firms Win
Rory O'Driscoll, Jason Lemkin, Harry Stebbings
A recent analysis contrasts the hit-rate precision of focused funds like Benchmark against the aggregate returns of mega-funds, highlighting how the latter's dominance forces mid-tier firms into an "option value" squeeze while distorting Series A and B pricing. Concurrently, the venture landscape is shifting toward high-risk AI-driven "option value" investments as M&A activity accelerates with strategic acquisitions like Windsurf by OpenAI and distressed exits for high-flier startups. Experts warn that while AI will displace up to 50% of knowledge workers within 24 months, the broader economic impact may mirror historical tech revolutions by increasing efficiency without significantly boosting global GDP, compelling firms to adopt AI-first workflows or face obsolescence.
Bucky Moore @ Lightspeed Venture Partners: Why You Cannot Do VC If You Do Not Do Pre-Seed
Following his move from Kleiner Perkins to Lightspeed Venture Partners as a partner, Bucky Brown outlines a strategic pivot toward supporting mega-platforms capable of deploying billions in capital to capture multi-trillion dollar AI outcomes. He argues that while model providers will dominate core categories, the "long tail" of specialized enterprise applications remains a viable space for early-stage ventures, provided investors prioritize deep domain expertise and founder selection over traditional market sizing. Brown warns that mid-sized funds face increasing obsolescence as the market polarizes, urging a conservative capital approach and a focus on "Team" to navigate the extreme capital intensity and rapid adoption defining the current AI era.
What Does it Take to Be Good at Series A and B Today?
Rory O'Driscoll, Jason Lemkin, Fabrice Grinda, Harry Stebbings
Venture capital markets are currently navigating a dual reality defined by an AI-fueled "gold rush" and a constrained liquidity environment where exit windows remain closed. Investors are diverging between aggressive "megatrend" bets on artificial intelligence and defense technology versus deep-value plays in digitized B2B sectors, while grappling with rapidly evolving risks such as model obsolescence and geopolitical instability. This high-velocity landscape is forcing strategic shifts toward earlier exits, a preference for "deranged" founders capable of exponential scaling, and a structural reevaluation of how private company lifecycles align with technological obsolescence.