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  1. RAISE Summit18 min

    Mike Mattacola, CBO of CoreWeave: Building the Next Generation of Cloud in Europe

    Mike Mattacola, Michael

    CoreWeave announced an all-stock acquisition of Core Scientific to secure over 1.3 gigawatts of U.S. power capacity, while its revenue surged from $15.8 million to nearly $2 billion driven by strategic partnerships with major AI firms like Mistral and NVIDIA. The company is aggressively expanding European infrastructure with €1 billion in investments across six data centers and a seventh pipeline, utilizing a global supply chain strategy to mitigate local capital and talent shortages. Looking ahead, CoreWeave aims to lead industry consolidation by focusing on rapid capacity deployment and talent acquisition rather than active mergers, positioning its Blackwell and future Rubin hardware to support the next generation of high-performance computing.

  2. RAISE Summit18 min

    CoreWeave @ RAISE 2025: Building the Next Generation of Cloud in Europe

    Michael

    CoreWeave announced a strategic all-stock acquisition of Core Scientific to secure 1.3 gigawatts of U.S. power capacity, a move designed to accelerate AI cluster deployment and eliminate intermediary costs. Following its rapid pivot from crypto to artificial intelligence, the company recently completed an innovative IPO and is aggressively expanding its European footprint with $2.2 billion in committed capital and plans to deploy next-generation Blackwell and Rubin Next architectures. This growth trajectory positions CoreWeave to address global power bottlenecks while advising the market that future consolidation will be driven primarily by talent migration rather than traditional mergers.

  3. Y Combinator18 min

    Signs Your Company Is Recovering From ZIRP

    Dalton, Michael

    Hosts define the current economic recovery from the "Zerp" era as a period marked by the elimination of vanity projects, the removal of excessive perks, and a mandatory return to office to enforce a culture of accountability. This shift involves high executive turnover and founders reclaiming operational control to replace ineffective leadership with a wartime mentality that prioritizes substantive output over comfort. The speakers advise employees to adapt to increased work intensity and stricter standards, warning that those remaining in stagnant organizations should consider leaving to join entities genuinely correcting their strategic errors.

  4. Y Combinator14 min

    Tarpit Ideas: The Sequel

    Dalton, Michael

    YC partners Dalton and Michael define "tar pit" ideas as market spaces that appear highly attractive but historically fail due to a lack of genuine technological shifts or fundamental behavioral changes. While Large Language Models have rendered some previously impossible ventures viable, founders must demonstrate concrete problem-solving capabilities rather than relying on social validation or assuming the first successful iteration is imminent. This dynamic framework warns against behavioral coordination failures and fast wealth arbitrage, urging entrepreneurs to rigorously validate ideas against historical precedents and actual user needs.

  5. Y Combinator18 min

    What Is ZIRP And How Did It Poison Startups?

    Dalton, Michael

    During the Zero Interest Rate Phenomenon, a flood of cheap capital distorted venture capital markets, prompting fund managers to chase assets under management while founders prioritized aggressive hiring and inflated valuations over product-market fit. This environment spawned a wave of unsustainable businesses that collapsed immediately when rates normalized, separating companies with viable profit models from those reliant on infinite liquidity. In response, experienced investors and accelerators like Y Combinator are now urging a return to realistic growth strategies that prioritize operational efficiency and enduring business models over market timing.

  6. Y Combinator8 min

    How New Technology Creates New Businesses

    Dalton, Michael

    Leveraging historical precedents like the internet and cloud computing, the event argues that emerging technologies like AI drastically reduce capital barriers, enabling individuals to build high-leverage businesses with minimal headcount. By targeting unsaturated "green field" markets within niche online communities, founders can replicate past successes such as Flappy Bird's rapid monetization or the rise of live-streaming entrepreneurs. This strategic shift promises a structural transformation toward widespread self-employment, allowing creators to bypass traditional corporate hierarchies and establish industries before competition saturates the landscape.

  7. Y Combinator12 min

    When Should You Trust Your Gut?

    Dalton, Michael

    Startup guidance at YC distinguishes between founders bringing deep prior expertise, who should trust their gut to build products that impress themselves, and those building expertise, who must rely on rapid learning and customer discovery to avoid over-planning. The most frequent failure mode involves role confusion where experts chase investor trends instead of leveraging their unique vision, or novices apply complex roadmaps without validating assumptions. Consequently, advisors are urged to tailor feedback dynamically, shifting from instinct-driven validation for experts to iterative market learning for generalists to align strategy with the founders' actual capabilities.

  8. Sequoia Capital37 min

    Making AI accessible with Andrej Karpathy and Stephanie Zhan

    Andrej Karpathy, Stephanie Zhan, Brian Halligan, Alex, Sam, Peter, Michael

    Andrej Karpathy outlines a future where the Large Language Model serves as a central CPU for a new "LLM OS," treating text, images, and audio as interchangeable peripherals within a decentralized startup ecosystem. He emphasizes that while massive scale drives current capabilities, the industry must overcome significant engineering and energy inefficiency barriers by adopting new hardware architectures and shifting from imitation learning toward self-correcting reinforcement loops. Drawing on lessons from Elon Musk’s management style, Karpathy advises founders to prioritize high-performance products, maintain technical rigor against organizational bloat, and foster a "coral reef" of vertical-specific applications rather than relying on monolithic corporate dominance.

  9. Y Combinator24 min

    Why Founders Shouldn't Think Like Investors

    Dalton, Michael

    Dalton and Michael argue that early-stage founders trained in venture capital or corporate consulting often fail by applying large-company frameworks like extensive market analysis and exit planning to pre-product startups. This "VC mindset" creates analysis paralysis and a detachment from the critical "micro" work of manually acquiring the first customer, whereas successful execution requires a "beginner's mind" focused on deep user immersion and domain expertise. The speakers conclude that founders must unlearn these counterproductive habits to embrace the uncertainty of the zero-to-one phase and leverage the flexibility needed to navigate early business failure.

  10. Y Combinator21 min

    Building Confidence In Yourself and Your Ideas

    Dalton, Michael

    This analysis warns founders against relying on superficial validation, such as cold outreach, which often leads to "pivotitis" and wasted resources driven by fear or false industry data. It emphasizes that success requires high internal conviction to withstand fundraising cycles and negative feedback, distinguishing between healthy strategic adjustments and random walks that deplete energy without generating experience. Ultimately, the event defines a true Minimum Viable Product as one that satisfies at least one user, urging teams to prioritize deep, iterative learning over rushed metrics.

  11. Y Combinator15 min

    How To Build A Tech Startup With No Technical Skills

    Dalton, Michael

    The analysis asserts that a startup's survival hinges primarily on recruiting an exceptional technical co-founder rather than relying on external developers or possessing an extensive founder resume. Successful ventures like DoorDash and Airbnb exemplify this principle, as their rapid development cycles and ultimate success were made possible only through the deep technical partnership of founders who viewed the collaboration as a shared adventure. Consequently, aspiring non-technical founders are advised to avoid unrealistic hiring criteria and instead actively pursue the single best engineer they have encountered to form a true co-ownership dynamic.

  12. Y Combinator18 min

    How To NOT Get Screwed As A Software Engineer

    Dalton, Michael

    This discussion identifies systemic equity imbalances and decision-making exclusion that frequently exploit technical co-founders, lead engineers, and early employees in startup environments. The speakers provide a diagnostic framework to distinguish between healthy risk-reward trade-offs and exploitative "bad patterns," such as the 90/10 founder split or the marginalization of technical staff from strategic planning. By advocating for direct negotiation of ownership and shared accountability, the presentation empowers technical professionals to align their compensation and influence with the actual value of their contributions.

  13. Y Combinator12 min

    The Secret That Silicon Valley's Top Investors All Share

    Dalton, Michael

    Top-tier venture capital firms frequently contradict their public criticism of the Y Combinator program by deploying significant capital into its portfolio, a behavior driven by YC's role as an efficient pre-selection filter that solves the sourcing and validation problems inherent in early-stage investing. Despite claims of preferring to "farm their own" deals, investors like Andreessen Horowitz and Sequoia Capital rely on the accelerator to transform thousands of applications into viable, data-rich companies while navigating operational constraints that limit their ability to source raw deals directly. This dynamic creates friction as investors complain about YC's parallel meeting models and inflated post-Demo Day valuations, yet ultimately prioritize these firms' actual investment patterns over their vocal marketing narratives when evaluating market reality.

  14. Jane Street26 min

    A Jane Street Trading Mock Interview with Graham and Andrea

    Graham, Andrea, Michael

    In a simulated quantitative trading interview, veteran trader Graham guides new hire Andrea through three variations of a die-rolling game designed to test her mathematical modeling and game theory skills. Andrea derives optimal stopping thresholds for static and consumable die scenarios while iterating toward a Nash equilibrium in an adversarial version where the casino actively minimizes her earnings. This exercise highlights Jane Street's evaluation criteria, which prioritize the candidate's ability to clarify rules, articulate a logical thought process, and collaboratively solve complex problems under changing constraints.

  15. Goldman Sachs11 min

    Talks at GS – Julia Steyn: Car Sharing and the Future of Auto

    Julia Steyn, Michael

    GM is pivoting from a traditional manufacturing model to a service-oriented strategy through its Maven brand, which targets younger urban demographics with integrated car-sharing and rideshare solutions. CEO Mary Barra oversees this multi-billion dollar investment in artificial intelligence, autonomous technology, and electric vehicles to address the mismatch between slow automotive engineering cycles and rapid consumer tech adoption. The initiative aims to secure lifetime customer value by adapting to shifting urban habits while acknowledging that personal vehicle ownership will persist in rural markets.