20VC with Harry Stebbings
Showing 211–225 of 691 transcripts.
- 1h 12m
Carlos Delatorre, CRO @Harness: Why Every Sales Rep Should Do Pipeline Generation | E1251
Carlos Delatorre, Harry Stebbings, George Sivulka
This session outlines a rigorous sales methodology for early-stage companies, emphasizing that founders must personally develop repeatable sales plays and hire only after validating process scalability. The discussion details operational strategies such as mandating pipeline generation for all account executives, utilizing specific weekly rhythms like "Pipeline Generation Tuesdays," and prioritizing innate traits over experience during hiring to reduce attrition. Furthermore, the event provides a framework for accelerating ramp times through structured training and leading-indicator metrics while leveraging AI to enhance productivity and shifting the industry's reputation away from traditional stereotypes.
- 1h 8m
George Sivulka, Co-Founder & CEO @Hebbia: The Future of Foundation Models | E1250
George Sivulka, Harry Stebbings
George, a former NASA intern turned Stanford PhD dropout, founded Hebbia in 2020 to build AI agents that perform deep financial analysis rather than relying on standard retrieval methods. Supported by investors Peter Thiel and Mike Volpe, he developed the company while living in a closet, focusing on high-stakes use cases like credit agreements to validate enterprise AI value. He projects that a shift toward scaling at inference and orchestrating multiple models will drive $100 trillion in economic value over the next six decades, positioning Hebbia to redefine the agentic application layer.
- 1h 17m
Hussein Kanji, Founder @Hoxton Ventures: Why AI Means London Can Compete with the US | E1248
Hussein Kanji, Harry Stebbings
Hoxton Advisors has evolved from a seed fund into a multi-stage firm targeting $150–$250 million to aggressively concentrate capital in European companies with global scaling potential. The strategy prioritizes deep ownership stakes in early winners, utilizing a disciplined exit framework and contrarian sector bets like specialized AI to maximize returns while mitigating the risks of market commoditization. Through this approach, the firm aims to build a durable institutional entity that challenges prevailing venture trends and addresses structural gaps in the European investment landscape.
- 1h 2m
Eran Zinman, Co-Founder & Co-CEO @Monday.com: Going Upmarket, International and Multi-Product |E1247
After scaling from $6M to $1B ARR in three years, the company successfully navigated early fundraising hurdles and a strategic pivot from communication tools to flexible work management through a proprietary performance marketing engine and a dual-co-CEO structure. The platform's 100% customizability drove rapid adoption across non-tech sectors, prompting the launch of specialized CRM and service products that grew to $25M ARR in a single year while the leadership prioritized cash flow optimization over traditional accounting metrics. By formalizing a governance culture of total transparency and a philosophy of tackling the hardest operational challenges first, the founders positioned the business for a public market IPO focused on long-term structural maturity.
- 1h 14m
Victor Riparbelli, CEO @Synthesia: OpenAI vs Anthropic vs X.ai - Who Wins and Why | E1246
Victor Riparbelli, Harry Stebbings
Synthesia secured $100 million in Series D funding led by NEA, elevating its valuation to $2.1 billion and providing capital to expand its enterprise video workflow platform beyond its current avatar capabilities. Founder Victor Leverett attributes the company's rapid growth to early financial constraints that forced product-market fit, enabling a strategy that targets converting 5% of global text communications into automated video and audio. As the company prepares to dominate this category, it focuses on proprietary presentation models and workflow integration while advocating for financial security through secondary sales to support long-term strategic decision-making.
- 1h 24m
Shervin Pishevar: What Really Happened in the Firing of Travis Kalanick | E1245
Shervin Pishevar, Travis Kalanick, Harry Stebbings
Menlo Ventures partner Shervin Pishevar led Uber's early $290 million Series B and later personally invested $1.4 billion, helping the company scale globally before a 2017 boardroom conflict orchestrated by Benchmark partners Bill Gurley forced founder Travis Kalanick to resign. Pishevar subsequently engaged in high-stakes legal battles against the firm over the ousting, which he argues destroyed $100 billion in potential value, while offering to buy out their stake to preserve the company's direction. Beyond the Uber saga, the discussion reflects on the decline of traditional venture capital, the rise of self-funded founders, and bullish forecasts for artificial intelligence and superintelligence within the next two decades.
- 1h 0m
Mikey Shulman, CEO @Suno: The Future of Music, What is Gonna Happen? | E1244
Mikey Shulman, Harry Stebbings
Suno pivoted from enterprise tools to a consumer generative music platform that challenges industry norms by prioritizing "many small models" over massive scaling to address subjective musical taste. Despite facing significant GPU costs and an RIAA lawsuit regarding training data, the company validated its product through immediate pricing and partnerships with industry figures like Timbaland to avoid commoditization. By migrating users from chat interfaces to a dedicated web application and securing nearly $125 million in funding, Suno aims to transform music consumption into an active creative social network where curation and quality supersede technical skill.
- 1h 6m
Dan Gill, CPO @Carvana: The Most Wild Story in Public Markets | E1243
Carvana CEO Dan Erwin outlines the company's recovery from a 99% market cap valuation drop to a $50 billion resurgence, driven by a leadership team that retained 90% of its senior members since 2019 and prioritized radical internal transparency. This stability supports a rigorous hiring philosophy focused on technical horsepower and intrinsic drive, which enabled the organization to restructure into eight cross-functional units while implementing vertical integration strategies that capture profit pools in financing and logistics. Leveraging deterministic AI systems for real-time personalized offers, the firm maintains a product strategy that rejects industry hype in favor of unit economics, aiming to automate routine customer service tasks while keeping high-complexity transactions under human specialist oversight.
- 1h 15m
Mike Maples: Three Frameworks to Evaluate Startups and Founders | E1242
Floodgate Managing Partner Mark Andreessen outlines a disciplined seed investment strategy where fund size dictates a strict focus on asymmetric returns, requiring top-tier founders to justify 100x outcomes amidst rising AI valuations and inefficient market pricing. He details a shift toward front-loaded capital allocation and opportunistic liquidity events, such as selling into growth rounds, to harvest value before market overvaluation erodes potential gains. Looking toward 2025, Andreessen predicts a cyclical downturn in traditional exits while positioning Bitcoin as a dominant financial rail, all while advocating for government accountability and a philosophy centered on playing offense only when market inefficiencies exist.
- 1h 11m
Matt Plank, Rippling's CRO: How to Build an Enterprise Sales Machine | E1241
Parker, CEO of Rippling, outlines a go-to-market strategy that prioritizes hiring scalable sales leaders with internal promotion history over early-stage "all-star" VPs to navigate the transition to $10M–$20M ARR. The company achieves rapid growth by maintaining a firm discount policy, executing an aggressive outbound program that books 1,000 demos monthly, and restructuring Account Managers with a 70% new revenue and 30% retention incentive model to reduce churn. Looking forward, Rippling plans to scale its sales force to approximately 300 reps, with a strategic focus on expanding its enterprise segment by 200–300% and preparing for international growth once market efficiency is established.
- 1h 7m
Daniel Dines, UiPath CEO & Founder: Why Agents Do Not Mean RPA is F*** | E1240
UiPath founder Daniel Dines is spearheading a strategic pivot to "agentic" AI by replacing legacy workflow engines with a neutral orchestration layer that unifies traditional RPA with specialized multi-model agents. This approach addresses enterprise data sovereignty concerns by avoiding proprietary cloud silos while anticipating a hybrid "human-in-the-loop" adoption model over the next five to twenty years. Dines simultaneously restores direct leadership control to drive this transition, rejecting corporate bureaucracy in favor of radical transparency to navigate the complex shift from incremental updates to autonomous software.
- 1h 2m
Reid Hoffman, LinkedIn & Paypal Founder: Trump Administration, Elon Musk and DOGE | E1239
Reid Hoffman, Trump, Elon Musk, Harry Stebbings
Elon Musk appeared in Seattle to outline a stark vision for U.S. fiscal reform, asserting that a $2 trillion budget reduction is impossible without cutting defense spending and major entitlements like Medicare. During the dialogue, he detailed his support for targeted tariffs against mercantile warfare, his skepticism regarding the Department of Government Efficiency, and his conviction that nuclear fusion is essential for powering AI and solving climate change. The discussion also covered Musk's evolving perspectives on UAPs, his criticism of restrictive antitrust laws that stifle competition, and his specific investment regrets and Bitcoin predictions for the mid-2020s.
- 1h 14m
Guillaume Moubeche, lempire Founder: Bootsrapping to $30M ARR Through Content & Brand | E1238
Guillaume Moubeche, Harry Stebbings
Guillaume Poillon bootstrapped Lemlist into a five-product B2B suite called Empire, projecting $29 million in annual recurring revenue and $10 million in EBITDA after pivoting away from venture capital. The company achieved exponential growth by relying on a "dogfooding" sales strategy and a content-first engine that shifted its acquisition mix from entirely outbound to 70% inbound, ultimately reaching a $13 million ARR plateau before optimizing for retention through product simplification and high-compensation hiring. Beyond financial metrics, Poillon details his transition from a hands-on CEO to Chairman, emphasizing his philosophy on mental discipline derived from physical endurance, the critical role of paying customers over design partners, and his strategic regrets regarding missed Bitcoin investments and societal polarization.
- 1h 17m
Torsten Reil, Helsing Founder: Raising $828M to Build the Defence Champion of Europe | E1237
Helsing, a defense technology firm founded by Torsten Reil and two co-founders, predicts imminent conflicts in Ukraine and Taiwan while warning that traditional defense primes face obsolescence due to the rising cost-inefficiency of legacy systems against autonomous drone swarms. The company distinguishes itself through an elite talent density strategy and a software-first hardware approach, having secured €100 million in funding to develop scalable strike platforms like the HX2 drone. By advocating for mandatory budget allocations for new defense companies and emphasizing European technological sovereignty, Helsing aims to disrupt the market by shifting procurement from boutique innovation grants to multi-year programs of record.
- 42 min
Marc Benioff, Salesforce Founder: Why Salesforce Isn't Hiring Software Engineers | E1236
Marc Benioff, Harry Stebbings, Steve Jobs, Mark
Salesforce is reorienting its 2025 strategy toward its proprietary AgentForce platform, halting new software engineer hiring while expanding its sales force to drive adoption of a unified agentic architecture. This shift, supported by a 32.9% margin and $38 billion revenue guidance, positions the company as the world's leading enterprise AI supplier processing over two trillion transactions weekly. Under CEO Mark Benioff, the organization is pivoting from traditional per-seat SaaS pricing to a consumption-based model that leverages a best-in-breed ecosystem of foundational models to capitalize on maturing Large Language Model capabilities.