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    Technology

    Sourcery

    Interviews with the top Investors, CEOs, & Founders

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    Latest Episodes:
    How Ryan Serhant Sold $20B in Real Estate with Media & AI Nov 03, 2025
    Show notes

    Ryan Serhant is one of the most successful and well-known real estate entrepreneurs in the world, with over $20 billion in lifetime sales. After leading one of New York City’s top-ranked brokerage teams to more than $4 billion in transactions, he founded SERHANT., a next-generation real estate company built at the intersection of media, technology, education, & sales.


    In this episode, Ryan joins Molly O’Shea to share the full SERHANT.

    1. ​The Future of NYC
    2. ​Media as the Business Model (Brokerage 3.0)
    3. ​S.MPLE’s $45M Seed Round & AI-Driven Sales
    4. ​Authenticity, Community, & Brand Building
    5. ​The Netflix Flywheel: Media → Distribution → Sales


    Ryan breaks down the strategy behind S.MPLE, his proprietary AI platform backed by a $45 million seed round led by Camber Creek, with participation from Left Lane Capital. S.MPLE acts as an “AI chief of staff” for agents automating workflows, orchestrating tasks, and saving more than 15,000 hours of work this year alone.


    From the success of his Netflix series Owning Manhattan to his philosophy that “authenticity beats virality,” Ryan reveals the systems, mindset, and scale strategy behind his $20 billion sales empire.. and why he believes the future of real estate will belong to founders who treat media and AI as infrastructure, not accessories.


    Ryan Serhant: https://x.com/RyanSerhant

    Molly O’Shea: ⁠https://x.com/MollySOShea⁠

    Sourcery: ⁠https://x.com/sourceryvc


    𝐒𝐏𝐎𝐍𝐒𝐎𝐑𝐒


    • ​⁠Brex⁠—The modern finance platform, combining the world’s smartest corporate card with integrated expense management, banking, bill pay, & travel. ⁠https://brex.com/sourcery⁠


    • ​⁠Turing⁠—Turing delivers top-tier talent, data, and tools to help AI labs improve model performance—and enables enterprises to turn those models into powerful, production-ready systems. ⁠https://turing.com/sourcery⁠


    • ​⁠Carta⁠—Carta connects founders, investors, and limited partners through software purpose-built for private capital. Trusted by 65,000+ companies in 160+ countries, Carta’s platform of software & services lays the groundwork so you can build, invest, and scale with confidence. ⁠https://carta.com/sourcery⁠


    • ​⁠Kalshi⁠—The largest prediction market and the only legal platform in the US where people can trade directly on the outcomes of future events: ⁠https://kalshi.com/sourcery⁠


    Follow Sourcery for the latest updates!

    ⁠https://www.sourcery.vc/


    𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒

    (00:00) The Full Ryan Serhant

    (01:32) NYC politics and real-estate resilience

    (07:00) Running a city like a CEO

    (08:14) Building the SERHANT. platform

    (09:14) From Bravo to media entrepreneur

    (12:29) Reframing: a media + tech company that sells real estate

    (15:00) Authenticity vs virality in building community

    (17:00) $308M deal born from brand awareness

    (19:45) Owning Manhattan and the Netflix effect

    (22:33) Casting talent and shaping culture

    (25:00) Season 2 preview & evolution of real-estate TV

    (30:15) Inside S.MPLE — AI as agent co-pilot

    (36:00) How AI transformed every department

    (42:00) Recruiting the next-gen, mobile-first agent

    (43:30) Raising $45M and scaling SERHANT nationally

    (52:21) Daily Routines and Personal Insights


    Alfred Lin on Airbnb, DoorDash, OpenAI & Citadel Securities Oct 30, 2025
    Show notes

    Alfred Lin, Partner at Sequoia Capital and three-time #1 Midas List investor, has backed some of the most transformative companies of the past two decades. His portfolio spans early bets on Airbnb, DoorDash, Uber, Zipline, Kalshi, and Commure to growth-stage partnerships with OpenAI and Citadel Securities, consistently identifying founders and businesses that redefine entire markets.


    He continues this track record today with next-generation category creators like Profound, which is building AI-powered brand visibility, Nominal, which is powering mission-critical engineering with a unified data stack,and Clay, which evolved into a go-to-market engine by relentlessly adapting to innovation.


    In this conversation, Alfred shares his philosophy on founder-market fit, resilience, and backing visionaries who create new categories. He reflects on Airbnb’s near-collapse during COVID, DoorDash’s rise, and Sequoia’s landmark investment in Citadel Securities, while breaking down how he evaluates IPOs, valuations in the AI era, and why the next decade will be defined by reimagined consumer experiences.


    Alfred Lin: https://x.com/Alfred_Lin

    Molly O’Shea: ⁠https://x.com/MollySOShea⁠

    Sourcery: ⁠https://x.com/sourceryvc


    𝐒𝐏𝐎𝐍𝐒𝐎𝐑𝐒


    • ​Brex—The modern finance platform, combining the world’s smartest corporate card with integrated expense management, banking, bill pay, & travel. https://brex.com/sourcery


    • ​Turing—Turing delivers top-tier talent, data, and tools to help AI labs improve model performance—and enables enterprises to turn those models into powerful, production-ready systems. https://turing.com/sourcery


    • ​Carta—Carta connects founders, investors, and limited partners through software purpose-built for private capital. Trusted by 65,000+ companies in 160+ countries, Carta’s platform of software & services lays the groundwork so you can build, invest, and scale with confidence. https://carta.com/sourcery


    • ​Kalshi—The largest prediction market and the only legal platform in the US where people can trade directly on the outcomes of future events: https://kalshi.com/sourcery


    Follow Sourcery for the latest updates!

    https://www.sourcery.vc/


    𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒

    (00:00) Alfred Lin, Sequoia

    (01:31) Why technology cycles move at 3-month speeds

    (03:55) Why markets often consolidate to 2–3 leaders

    (05:07) “Build for the world, not San Francisco”

    (07:14) Airbnb’s COVID crisis and Brian Chesky’s leadership

    (13:15) Culture under stress: resilience in tough times

    (15:45) The essence of founder-market fit

    (16:20) Motion ≠ progress: why velocity matters

    (17:55) Resetting company culture in the AI era

    (19:55) Clay’s pivot into a go-to-market engine

    (21:10) Profound and the rise of AI-powered brand visibility

    (25:15) Breaking through to invest in Citadel Securities

    (29:45) IPOs, exits, and what makes a public company

    (33:05) Performance metrics: numbers behind the numbers

    (33:58) AI premiums, valuations, and when they turn reckless

    (39:45) OpenAI’s $500B valuation and trillion-dollar potential


    Inside Sequoia’s Strategy: Alfred Lin on Company Building & Partnering Long-term Oct 27, 2025
    Show notes

    Sequoia Partner Alfred Lin joins Sourcery to share how one of the world’s most iconic venture funds, which has distributed over $43B to investors since 2020, continues to back outlier founders at the earliest stages. Sequoia just launched its latest early stage funds: Seed Fund VI: $200M and Venture Fund XIX: $750M, to continue partnering with the next generation of outlier founders at the start of their journey.


    Sitting at Number 1 on the Midas list two years in a row, Alfred goes deep to share Sequoia’s company-building philosophy with stories from OpenAI, DoorDash, Kalshi, Commure, Zipline, and more.


    Alfred explains how Sequoia thinks about partnering with founders four standard deviations above the mean, why efficiency matters more than capital, the role of pivots in scaling, and how to distinguish quality revenue from experimental revenue in today’s AI-driven market.


    Topics include:

    • Sequoia’s founder-first investing philosophy
    • How Alfred helped Kalshi navigate regulatory battles
    • DoorDash’s efficiency playbook vs. Uber Eats
    • Zipline’s “Big P” pivot to medical drone delivery
    • Revenue quality, AI hype cycles, and Sequoia’s outlook


    Alfred Lin: https://x.com/Alfred_Lin

    Molly O’Shea: ⁠https://x.com/MollySOShea⁠

    Sourcery: ⁠https://x.com/sourceryvc


    𝐒𝐏𝐎𝐍𝐒𝐎𝐑𝐒


    • Brex—The modern finance platform, combining the world’s smartest corporate card with integrated expense management, banking, bill pay, & travel. https://brex.com/sourcery


    • Turing—Turing delivers top-tier talent, data, and tools to help AI labs improve model performance—and enables enterprises to turn those models into powerful, production-ready systems. https://turing.com/sourcery


    • Carta—Carta connects founders, investors, and limited partners through software purpose-built for private capital. Trusted by 65,000+ companies in 160+ countries, Carta’s platform of software & services lays the groundwork so you can build, invest, and scale with confidence. https://carta.com/sourcery


    • Kalshi—The largest prediction market and the only legal platform in the US where people can trade directly on the outcomes of future events: https://kalshi.com/sourcery


    Follow Sourcery for the latest updates!

    https://www.sourcery.vc/



    (00:00) Alfred Lin, Sequoia

    (02:37) What makes an “outlier founder”

    (04:15) Bespoke founder support: lessons from Airbnb & DoorDash

    (07:10) Stories from Kalshi: regulation, elections & more markets

    (14:00) Little “p” pivots vs. Big “P” pivots

    (14:17) Zipline’s dramatic pivot to medical drones

    (18:00) DoorDash vs. Uber: efficiency as a weapon

    (19:49) When to pour capital into growth

    (20:07) Growth vs. true product-market fit

    (22:19) The race to $100M revenue – healthy or not?

    (25:55) Pilot/experimental revenue vs. real ARR

    (27:26) Breaking down revenue quality: SaaS vs. hardware vs. services

    (29:00) AI cycle, hype, and founder pressure

    (31:36) Why Sequoia expects more from this generation of founders

    (34:21) Closing thoughts: measuring company velocity, not just revenue


    Inside Coatue: $70B Hedge Fund’s AI & Retail Strategy Oct 23, 2025
    Show notes

    Michael Barton, Sector Head at Coatue, joins Sourcery to unpack how one of the world’s largest hedge funds is navigating tectonic shifts in markets. From the Gamestop meme stock saga and the rise of retail investors, to Coatue’s $70B multi-strategy platform across public equities, privates, and credit, Barton shares a behind-the-scenes view into how ideas are generated, trades are sized, and risks are managed.


    We cover Coatue’s unique approach, sitting at the intersection of public and private tech investing. And why AI is the biggest tech wave yet, bigger than Web1, Web2, or mobile. Barton explains where he sees value accruing in the AI stack, how retail sentiment now drives price action, and why the next hedge fund edge comes from integrating data science, practitioner insights, and AI-native workflows.


    This conversation reveals how Coatue is positioning itself for the future of markets, and what founders, investors, and institutions should learn from these shifts.


    KEY POINTS

    • ​Coatue’s Scale & Strategy: ~$70B AUM, with ~$25B in public equities, alongside private and credit strategies
    • ​Rise of Retail: Gamestop and Reddit proved retail investors can move markets—forcing funds to adapt new risk frameworks
    • ​Idea Generation & Investing Discipline: Successful investments at Coatue require both deep analysis, differentiated insights and the ability to distill a pitch into a few sentences that win buy-in from the team
    • ​AI’s Impact: Advertising is the first major AI use case driving revenue growth; Coatue sees AI as the largest tech wave yet, reshaping companies, investing processes, and even their own hedge fund workflows
    • ​Winners & Losers: Value will accrue differently across the AI stack (labs, agents, infrastructure, cloud); the challenge is identifying which layer ultimately dominates



    Michael Barton: https://www.linkedin.com/in/michael-lord-barton-jr-390b4145/

    Molly O’Shea: ⁠https://x.com/MollySOShea⁠

    Sourcery: ⁠https://x.com/sourceryvc⁠


    SPONSORS


    • Brex—The modern finance platform, combining the world’s smartest corporate card with integrated expense management, banking, bill pay, & travel.


    As a Sourcery Listener you get: 75,000 points after spending $3,000 on Brex card(s), white-glove onboarding, $5,000 in AWS credits, $2,500 in OpenAI credits, & access to $180k+ in SaaS discounts. On top of $500 toward Brex travel, $300 in cashback, plus exclusive perks (like billboards..) visit → https://brex.com/sourcery


    • Turing—Turing delivers top-tier talent, data, and tools to help AI labs improve model performance—and enables enterprises to turn those models into powerful, production-ready systems. Visit: https://turing.com/sourcery


    • Carta—Carta connects founders, investors, and limited partners through software purpose-built for private capital. Trusted by 65,000+ companies in 160+ countries, Carta’s platform of software & services lays the groundwork so you can build, invest, and scale with confidence. Visit: https://carta.com/sourcery


    • Kalshi—The largest prediction market and the only legal platform in the US where people can trade directly on the outcomes of future events: https://kalshi.com/sourcery


    Follow Sourcery for the latest updates!

    https://www.sourcery.vc/


    Elad Gil, Jared Kushner & Eric Wu on AI in Business | Brain Co Oct 20, 2025
    Show notes

    Elad Gil joins Sourcery to unpack the story behind Brain Co, his new AI incubation venture with Jared Kushner (Affinity Partners) and Eric Wu (Opendoor).


    Brain Co was founded to solve a glaring problem: Fortune 100s and government institutions desperately want AI adoption but lack the engineering depth and infrastructure to make it real. Backed by a $30M Series A led by Gil Capital and Affinity Partners, Brain Co is already pulling in some of the sharpest AI minds and heavyweight backers across tech and finance.


    We dive deep into:


    • The origins of Brain Co & why Jared Kushner approached Elad
    • Eric Wu’s role after Opendoor and why he’s the right leader
    • Why enterprise AI adoption is broken & how Brain Co fixes it
    • The $30M Series A and the powerhouse angels behind it (Databricks, Stripe, Coinbase, OpenAI leaders, Naval, Reid Hoffman, & more)
    • How Elad thinks about incubation vs. investing


    Elad Gil: https://x.com/eladgil

    Molly O’Shea: ⁠https://x.com/MollySOShea⁠

    Sourcery: ⁠https://x.com/sourceryvc⁠


    Brought to you by:


    • Brex—The modern finance platform, combining the world’s smartest corporate card with integrated expense management, banking, bill pay, & travel.


    As a Sourcery Listener you get: 75,000 points after spending $3,000 on Brex card(s), white-glove onboarding, $5,000 in AWS credits, $2,500 in OpenAI credits, & access to $180k+ in SaaS discounts. On top of $500 toward Brex travel, $300 in cashback, plus exclusive perks (like billboards..) visit → https://brex.com/sourcery


    • Turing—Turing delivers top-tier talent, data, and tools to help AI labs improve model performance—and enables enterprises to turn those models into powerful, production-ready systems. Visit: https://turing.com/sourcery


    • Carta—Carta connects founders, investors, and limited partners through software purpose-built for private capital. Trusted by 65,000+ companies in 160+ countries, Carta’s platform of software & services lays the groundwork so you can build, invest, and scale with confidence. Visit: https://carta.com/sourcery


    • Kalshi—The largest prediction market and the only legal platform in the US where people can trade directly on the outcomes of future events: https://kalshi.com/sourcery


    Follow Sourcery for the latest updates!

    https://www.sourcery.vc/


    Chapters:

    (00:00) Elad Gil

    (01:32) The “rule of 3” in markets: why industries collapse to 2–3 winners

    (04:56) From investor to incubator: why Elad started Brain Co

    (05:16) The “Brain” naming story & Braintrust origins

    (06:15) Meeting Jared Kushner & aligning on enterprise AI problems

    (06:54) Why Fortune 100s can’t adopt AI alone

    (07:13) Recruiting Eric Wu and assembling Brain Co’s founding team

    (08:29) Skipping SMB/mid-market → going straight to enterprise

    (08:51) Brain Co’s dual strategy: platform + bespoke apps

    (10:50) MIT study on AI pilots—why most fail & how Brain Co differs

    (12:26) Lessons from internet & mobile waves on long adoption cycles

    (15:30) Who are the real early adopters in enterprise AI?

    (16:38) The $30M Series A: Elad + Kushner co-lead, full angel investor list

    (18:47) Why Brain Co attracted top-tier operators & angels

    (19:23) Eric Wu post-Opendoor & Brain Co’s vision

    (20:47) Redemption stories & second acts in tech

    (22:54) Headlines vs. reality—what media gets wrong

    (27:18) Worst advice ever & “culture = winning”

    (29:04) Managing context switching & long-term planning

    (32:03) Lightning predictions: AGI, Mars robots, aliens

    (35:39) Outro & wrap-up


    Elad Gil Explains Why 90% of Startups Fail in Every Tech Cycle Oct 17, 2025
    Show notes

    Elad Gil, of Gil Capital and Gil & Co, aka one of Silicon Valley’s most influential investors, sits down with Molly O’Shea to unpack it all.. from the 1999 IPO boom to the AI bubble, and what it really takes to build durable companies across cycles.


    Elad has backed more than 200 companies, from Stripe, Airbnb, and Coinbase to next-gen AI leaders like Perplexity, Harvey, and Decagon. Today, he runs Gil Capital, a multi-stage investment firm potentially managing “billions,” and continues to be one of the most insightful voices on technology, capital, and company-building.


    Did we mention he’s a bit of an enigma?


    Portfolio includes: Abridge, Airbnb, Airtable, Anduril, Applied Intuition, Braintrust, Brain Co, Brex, Character, Checkr, Coinbase, dbt Labs, Deel, Decagon, Figma, Flexport, Gitlab, Gusto, Harvey, Instacart, Mistral, Navan, Notion, Opendoor, PagerDuty, Perplexity, Pika, Pinterest, Retool, Rippling, Samsara, Saronic, Square, Stripe etc.


    In this conversation, Elad reflects on:

    • Lessons from the 1999 IPO Boom: 2,000 internet companies went public, and only a handful remain. What does that mean for today’s AI rush?
    • ​AI Bubble? Why Elad believes technology waves are always “overhyped and underhyped” at the same time.
    • ​How to Spot the Next Amazon or Stripe in AI: What separates short-term success from long-term durability.
    • ​When Founders Should Sell: The four real reasons companies get acquired, and why sometimes it’s the smartest move.
    • ​Bottlenecks in AI: Why energy and regulation may shape where global training hubs are built.
    • ​Forever Private Companies: Stripe, SpaceX, and the new trend of companies that never go public.
    • ​Building a Trillion-Dollar Company: The markets, founder traits, and timing needed to reach that scale.



    Elad Gil: https://x.com/eladgil

    Molly O’Shea: ⁠https://x.com/MollySOShea⁠

    Sourcery: ⁠https://x.com/sourceryvc⁠


    Brought to you by:


    • Brex—The modern finance platform, combining the world’s smartest corporate card with integrated expense management, banking, bill pay, & travel.


    As a Sourcery Listener you get: 75,000 points after spending $3,000 on Brex card(s), white-glove onboarding, $5,000 in AWS credits, $2,500 in OpenAI credits, & access to $180k+ in SaaS discounts. On top of $500 toward Brex travel, $300 in cashback, plus exclusive perks (like billboards..) visit → https://brex.com/sourcery


    • Turing—Turing delivers top-tier talent, data, and tools to help AI labs improve model performance—and enables enterprises to turn those models into powerful, production-ready systems. Visit: https://turing.com/sourcery


    • Carta—Carta connects founders, investors, and limited partners through software purpose-built for private capital. Trusted by 65,000+ companies in 160+ countries, Carta’s platform of software & services lays the groundwork so you can build, invest, and scale with confidence. Visit: https://carta.com/sourcery


    • Kalshi—The largest prediction market and the only legal platform in the US where people can trade directly on the outcomes of future events: https://kalshi.com/sourcery


    Follow Sourcery for the latest updates!

    https://www.sourcery.vc/


    Chapters:

    (00:00) Elad Gil

    (02:00) Elad’s career arc: Google, Twitter, Color, angel investing

    (02:30) Technology as a force for good

    (03:20) Why Elad is building monuments

    (09:09) From angel investing to a potentially multi-billion-dollar fund

    (11:03) Inside Gil Capital’s small but focused team

    (11:45) Thesis-driven vs. opportunistic investing

    (12:43) Backing 200+ companies across waves

    (15:15) Stripe, Airbnb, Figma, Instacart & investing across competition

    (17:08) Why every software company is now an AI company

    (18:47) AI’s biggest bottleneck: energy & geopolitics

    (22:10) Policy, crypto regulation, and AI’s political risks

    (26:14) Lessons from the 1999 IPO boom & what it means for AI

    (34:29) What it takes to build a trillion-dollar company


    Inside The $2.2B AI Research Accelerator | Turing Oct 10, 2025
    Show notes

    AI has eaten the internet, data labeling is so over, and $30 trillion of human work is on the verge of automation. Jonathan Siddharth, Founder & CEO of Turing, joins Sourcery to break down the power shift in AI training — from commodity data labeling to expert research — positioning Turing apart from AI data providers like Scale AI, Mercor, & Surge.


    Turing has become a hidden force in the AI race, hitting $300M in ARR in 2024 (~3x YoY), achieving profitability, and raising $111M at a $2.2B valuation in March. That growth cements its position as one of the fastest-growing AGI infrastructure companies.


    Today, frontier labs like OpenAI, Anthropic, Meta, Google, Microsoft, Nvidia, & Amazon rely on Turing for the frontier data that pushes AI forward across the four pillars of superintelligence:

    • Multimodality

    • Reasoning

    • Tool use

    • Coding


    We explore Turing’s expansion into the enterprise, closing the “gap” – where Fortune 500s in finance, insurance, and pharma are racing to build proprietary intelligence on their own data, creating durable moats in the $30T knowledge work economy.


    PS Jonathan also explains how labs like OpenAI train models:

    • Pre-training on filtered internet corpora (Common Crawl, GitHub, books, video)

    • Post-training with supervised fine-tuning (human Q&A datasets)

    • Reinforcement learning (RLHF + verifiable domains) to align models with human preferences

    • Model-breaking data from Turing’s 4M+ engineers to close gaps and advance systems like GPT-5


    1. Jonathan Siddharth: https://www.linkedin.com/in/jonsid/

    2. Molly O’Shea: ⁠https://x.com/MollySOShea⁠

    3. Sourcery: ⁠https://x.com/sourceryvc⁠


    Brought to you by:

    • Brex—The modern finance platform, combining the world’s smartest corporate card with integrated expense management, banking, bill pay, & travel.


    As a Sourcery Listener you get: 75,000 points after spending $3,000 on Brex card(s), white-glove onboarding, $5,000 in AWS credits, $2,500 in OpenAI credits, & access to $180k+ in SaaS discounts. On top of $500 toward Brex travel, $300 in cashback, plus exclusive perks (like billboards..) visit → https://brex.com/sourcery


    • Turing—Turing delivers top-tier talent, data, and tools to help AI labs improve model performance—and enables enterprises to turn those models into powerful, production-ready systems. Visit: https://turing.com/sourcery


    • Carta—Carta connects founders, investors, and limited partners through software purpose-built for private capital. Trusted by 65,000+ companies in 160+ countries, Carta’s platform of software & services lays the groundwork so you can build, invest, and scale with confidence. Visit: https://carta.com/sourcery


    • Kalshi—The largest prediction market and the only legal platform in the US where people can trade directly on the outcomes of future events: https://kalshi.com/sourcery


    Follow Sourcery for the latest updates!

    https://www.sourcery.vc/


    (00:00) AI Ate The Internet

    (00:49) Training superintelligence: the race to AGI

    (02:31) Viral tweet

    (03:24) What Turing actually does

    (04:43) The internet data is “used up” — where will new data come from?

    (05:34) Four pillars of superintelligence: multimodality, reasoning, tool use, coding

    (06:07) Automating $30T of global knowledge work

    (09:18) The $1B revenue opportunity

    (10:59) Why Turing is a research-first accelerator, not a data labeler

    (13:45) Jonathan’s Stanford AI Lab roots and founding DNA

    (17:57) How models are built: pre-training vs. post-training

    (20:14) RLHF, reinforcement learning, and “breaking the models”

    (25:19) GPT-5 and the myth of rapid takeoff

    (30:46) Safety debates and human-in-the-loop systems

    (34:53) Closing Enterprise Gap: finance, insurance, & pharma

    (39:23) Why proprietary enterprise data is the next moat in AI


    Base Power Raises $1B led by Addition, with Trust Ventures, Valor Equity, Thrive, Lightspeed, a16z, Altimeter, Stepstone, Elad Gil Oct 08, 2025
    Show notes

    At just 2 years old, Base Power has become one of the fastest-growing distributed energy companies in the U.S. Founded by Zach Dell and Justin Lopas, the company just announced a $1 billion Series C led by Addition. All other major investors are re-investing, including Trust Ventures, Valor Equity Partners, Thrive, Lightspeed, a16z, Altimeter, Stepstone, Elad Gil, 137Ventures, Terrain, and Waybury. New major investors include Ribbit, CapitalG, Spark, BOND, Lowercarbon, Avenir, Glade Brook, Positive Sum, and 1789.


    Zach breaks down:

    • How Base Power is reinventing America’s energy grid with distributed batteries.

    • Scaling from $200M Series B to $1B Series C in < 6 months.

    • Building Base Factory One in Austin and plans for more domestic manufacturing.

    • Why AI and data centers make energy the new bottleneck for innovation.

    • The culture, team, & investors powering one of America’s most ambitious startups.


    5 Key Takeaways

    1. Strategic Investor Network – Beyond top venture firms, Base Power’s backers include Lennar (homebuilding), Starwood (real estate), and university endowments like WashU. These strategic investors bring distribution channels, deployment partnerships, and institutional credibility

    2. Hypergrowth Trajectory – The company grew 30% month-over-month, has thousands on its waitlist, and is already doing millions in monthly revenue.

    3. Domestic Manufacturing – Base is building its first factory in downtown Austin, repurposing the old Austin American-Statesman printing press, with plans for a second plant already underway.

    4. Grid Bottleneck & AI – Energy is now the key constraint for AI/data centers. Base’s distributed battery model offers faster, cheaper deployment than traditional interconnection queue.

    5. Culture as Differentiator – Base Power embodies a “chop wood, carry water” culture, with IC-driven leadership, top-tier engineering hires from Tesla, SpaceX, Anduril, and a flat, hands-on team structure.


    1. Zach Dell: https://www.linkedin.com/in/zach-dell-a631a554/

    2. Molly O’Shea: ⁠https://x.com/MollySOShea⁠

    3. Sourcery: ⁠https://x.com/sourceryvc⁠


    Brought to you by:

      • Brex—The modern finance platform, combining the world’s smartest corporate card with integrated expense management, banking, bill pay, & travel. As a Sourcery Listener you get: 75,000 points after spending $3,000 on Brex card(s), white-glove onboarding, $5,000 in AWS credits, $2,500 in OpenAI credits, & access to $180k+ in SaaS discounts. On top of $500 toward Brex travel, $300 in cashback, plus exclusive perks (like billboards..) visit → https://brex.com/sourcery
      • Turing—Turing delivers top-tier talent, data, and tools to help AI labs improve model performance—and enables enterprises to turn those models into powerful, production-ready systems. Visit: https://turing.com/sourcery
      • Carta—Carta connects founders, investors, and limited partners through software purpose-built for private capital. Trusted by 65,000+ companies in 160+ countries, Carta’s platform of software & services lays the groundwork so you can build, invest, and scale with confidence. Visit: https://carta.com/sourcery
      • Kalshi—The largest prediction market and the only legal platform in the US where people can trade directly on the outcomes of future events: https://kalshi.com/sourcery


      Follow Sourcery for the latest updates!

      https://www.sourcery.vc/


    Epirus & Galvanick CEOs on the Future of Defense & Cyberattacks Oct 05, 2025
    Show notes

    Andy Lowery, CEO of Epirus, & Joshua Steinman, CEO of Galvanick, join Molly O’Shea to break down the next frontier of defense, from drone swarms to industrial cyber threats.


    Epirus has raised over $550M from StepStone, General Dynamics, T. Rowe Price, Gaingels, and 8VC, building its Leonidas™ solid-state, high-power microwave weapon to counter drones and drone swarms. Lowery explains how Epirus is pioneering the “sixth domain of warfare”—physical cyber attacks—and how their “one-to-many” defense approach gives the U.S. a strategic edge against mass drone threats.


    Galvanick, meanwhile, is tackling the cyber front. Steinman, who served four years in the Trump White House on the National Security Council, breaks down why industrial control systems (ICS/SCADA) are America’s greatest vulnerability—and how Galvanick’s platform detects and neutralizes attacks that could cripple manufacturing, energy, and defense supply chains.


    Together, we explore:

    • What the sixth domain of warfare means for modern conflict.

    • How Epirus’ Gen 2 systems are extending range and production readiness.

    • Why cybersecurity for industrial infrastructure is mission-critical.

    • The role of defense tech in America’s reindustrialization.

    • Where geopolitics, AI, and national security intersect in the decade ahead.


    This conversation is part of Sourcery’s “Made in America” Mini-Series recorded at the Reindustrialize 2025 Summit.


    1. Andy Lowery: https://www.linkedin.com/in/andylowery/

    2. Joshua Steinman: https://www.linkedin.com/in/jmsteinman/

    3. Molly O’Shea: ⁠https://x.com/MollySOShea⁠

    4. Sourcery: ⁠https://x.com/sourceryvc⁠


    Brought to you by:

    • Brex—The modern finance platform, combining the world’s smartest corporate card with integrated expense management, banking, bill pay, & travel.


    As a Sourcery Listener you get: 75,000 points after spending $3,000 on Brex card(s), white-glove onboarding, $5,000 in AWS credits, $2,500 in OpenAI credits, & access to $180k+ in SaaS discounts. On top of $500 toward Brex travel, $300 in cashback, plus exclusive perks (like billboards..) visit → https://brex.com/sourcery


    • Turing—Turing delivers top-tier talent, data, and tools to help AI labs improve model performance—and enables enterprises to turn those models into powerful, production-ready systems. Visit: https://turing.com/sourcery


    • Kalshi—The largest prediction market and the only legal platform in the US where people can trade directly on the outcomes of future events: https://kalshi.com/sourcery


    Follow Sourcery for the latest updates!
    https://www.sourcery.vc/


    Chapters:

    (00:00) Future of Defense & Cyberattacks

    (01:25) Origins of Epirus & next-gen jamming roots at Raytheon

    (03:55) Defining the sixth domain of warfare

    (06:35) America’s edge: cleverness, phased arrays, & underdog strategy

    (08:47) Drones, consumer electronics, & the “one-to-many” defense approach

    (11:15) Epirus’ Gen 2 Leonidas system: extended range and readiness

    (15:00) Reindustrialization: manufacturing bottlenecks in amplifiers & rocket motors

    (19:00) U.S. talent and supply chain challenges in electronics

    (21:45) Epirus milestones & next Army tests

    (23:15) Transition to Joshua Steinman, CEO of Galvanick

    (24:00) Steinman’s background: Navy, Iraq, White House National Security Council

    (27:00) Lessons from working under Trump at the NSC

    (32:25) Galvanick’s mission: defending America’s industrial base from cyber threats

    (34:00) Real-world ICS/SCADA attack examples (Iranian steel mills)

    (39:15) The role of cybersecurity in reindustrialization and U.S. resilience


    What Gets You Funded in AI: Insights from Felicis, 500 Global & Mayfield Oct 04, 2025
    Show notes

    Astasia Myers (Felicis), Tony Wang (500 Global), & Patrick Salyer (Mayfield) joined Sourcery’s Molly O’Shea at the Startup Grind AI Summit, presented with Mayfield & Snowflake, for a conversation on what it really takes to raise from Seed to Series A in AI.


    Together they unpack the realities of fundraising in AI today—from what traction truly looks like, to defensibility and integration moats, to shifting stage definitions and round compression. The panel digs into:

    • ​Why AI voice and agents are opening massive new TAMs
    • ​How founders should navigate inflated growth expectations & conversion rates below 20%
    • ​Red flags investors watch for in ARR, pilots, and “vibe revenue”
    • ​How AI is reshaping business models, talent, and even the venture model itself
    • ​The premium (and pitfalls) in AI valuations


    This panel goes beyond the hype to share what top VCs are really looking for when backing the next generation of AI companies.


    Funding data provided by Carta.


    5 Key Takeaways

    1. ​Traction Isn’t Just Revenue – For AI startups, traction is measured by engaged usage, speed of iteration, and evidence of repeatability, not just top-line growth.
    2. ​Defensibility Is Everything – Proprietary data, strong technical teams, and hard-to-replicate integrations are the biggest signals for Series A readiness.
    3. ​GTM Strategy Sets Winners Apart – Investors want to see early playbooks for distribution, not just product innovation. GTM clarity is now as critical as model performance.
    4. ​Red Flags to Avoid – Pitching with no moat, chasing hype, or relying entirely on third-party APIs without differentiation will stop fundraising momentum cold.
    5. ​Series A Is a Graduation – Moving from seed to A is about proving repeatability, durability, and clear paths to market leadership.


    1. Astasia Myers: https://x.com/AstasiaMyers

    2. Tony Wang: https://x.com/TonyW

    3. Patrick Salyer: https://x.com/patricksalyer

    4. Molly O’Shea: ⁠https://x.com/MollySOShea⁠

    5. Sourcery: ⁠https://x.com/sourceryvc⁠


    Brought to you by:


    • Brex—The modern finance platform, combining the world’s smartest corporate card with integrated expense management, banking, bill pay, & travel.


    As a Sourcery Listener you get: 75,000 points after spending $3,000 on Brex card(s), white-glove onboarding, $5,000 in AWS credits, $2,500 in OpenAI credits, & access to $180k+ in SaaS discounts. On top of $500 toward Brex travel, $300 in cashback, plus exclusive perks (like billboards..) visit → https://brex.com/sourcery


    • Turing—Turing delivers top-tier talent, data, and tools to help AI labs improve model performance—and enables enterprises to turn those models into powerful, production-ready systems. Visit: https://turing.com/sourcery


    • Carta—Carta connects founders, investors, and limited partners through software purpose-built for private capital. Trusted by 65,000+ companies in 160+ countries, Carta’s platform of software & services lays the groundwork so you can build, invest, and scale with confidence. Visit: https://carta.com/sourcery


    • Kalshi—The largest prediction market and the only legal platform in the US where people can trade directly on the outcomes of future events: https://kalshi.com/sourcery


    Follow Sourcery for the latest updates!

    https://www.sourcery.vc/


    Chapters:

    (00:00) Investor backgrounds

    (01:39) Astasia on AI voice models

    (04:02) ROI of voice-native apps

    (05:02) Patrick on AI agents & TAMs

    (07:27) Tony on MCP & voice agents

    (09:15) Growth expectations from Seed → A

    (11:15) Conversion rates & red flags

    (13:29) Patrick on stage shifts & round compression

    (15:36) Tony on hypergrowth traps

    (19:08) Astasia on fastest-growing AI companies

    (21:13) Patrick on AI supercycle & greenfield markets

    (23:23) Panel on integration moats & stickiness

    (25:41) How AI is reshaping business models & VC

    (32:57) Building AI-native teams & learning velocity

    (38:43) Hiring trends & younger AI-native talent

    (40:48) Valuations, premiums & market realities


    Previous 1 10 11 12 13 14 21 Next

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