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    Technology

    The Room Podcast

    Welcome to the Room. A series interviewing your favorite tech founders and funders. Our guests were in the room where it happened and they’re sharing their stories.

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    Copyright: © 2020

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    Latest Episodes:
    S14E6: The End of Waiting for Payday with EarnIn Founder, Ram Palaniappan Apr 21, 2026
    Show notes

    In this episode of The Room Podcast, we speak with Ram Palaniappan, founder and CEO of Earnin, a fintech company reimagining how people get paid by giving employees access to their earnings in real time rather than waiting for traditional payroll cycles.

    Earnin is building a new kind of payroll system—one that shifts power from employers to employees by enabling on-demand and continuous pay. Instead of the outdated two-week batch system, Earnin is pioneering a streaming model for income, where workers can access wages as they earn them, improving financial stability and reducing reliance on overdrafts and late fees.

    Ram’s journey into founding Earnin didn’t begin with the intention to start a company—it began by manually helping employees avoid overdraft fees by advancing their earned wages. That scrappy, human-first solution evolved into a scaled fintech platform now used by millions, reshaping how payroll is experienced across the U.S.

    In this conversation, Ram shares the core insight behind Earnin: payroll is fundamentally a broken digital product, and like all digital systems, it should evolve from batch processing to real-time streaming.

    We also discuss:
    • Why payroll has remained one of the last “batch-based” systems in a real-time world
    • The infrastructure behind streaming wages second-by-second
    • Lessons from navigating COVID when usage dropped 60% almost overnight
    • How Earnin used capital to forgive millions in consumer debt
    • Why giving employees control over pay improves income, attendance, and financial outcomes

    Learn more about Ram on LinkedIn and explore Earnin at https://www.earnin.com/

    (04:55) Ram’s childhood and early experiences growing up in India
    (06:40) Whether Ram always saw himself becoming a founder
    (08:12) The fintech landscape when Earnin was first being built
    (09:58) Why payroll has remained a batch-based system
    (11:12) The transition from RushCard to launching Earnin
    (12:42) The infrastructure behind real-time and streaming payroll
    (15:57) The first investor who backed Earnin
    (16:43) A defining moment when things did not go as planned
    (17:49) The decision to buy and forgive user debt
    (19:04) How Earnin thinks about equity vs. debt financing
    (20:01) How AI is changing how Earnin builds and ships products
    (21:05) How consumer fintech is evolving alongside AI
    (22:17) How Earnin helps employers better support employees
    (24:19) How government and regulation are catching up to earned wage access
    (25:51) A woman who had a profound impact on Ram’s career

    For The Room Podcast in your inbox every week, subscribe to our newsletter.
    Follow us on Instagram
    Follow us on TikTok
    Check out our guide to podcasting here!
    Don't forget to subscribe to our channel on YouTube, Spotify, and Apple Music!

    Brought to you by Rippling and Perkins Coie.

    WX Productions


    S14E5: Building the Red Bull for Relaxation with Ben Witte, Founder and CEO of Recess Apr 14, 2026
    Show notes

    In this episode of The Room Podcast, we sit down with Ben Witte, Founder and CEO of Recess, a consumer wellness brand pioneering a new category of functional beverages designed to help people relax, unwind, and feel better in an increasingly high-stress world. Recess blends ingredients like magnesium, adaptogens, and other functional compounds into beautifully branded drinks that position themselves as the “Red Bull for relaxation.”

    Before launching Recess, Ben built his career in early-stage startups and hypergrowth companies like AdRoll, where he developed a deep understanding of digital marketing, brand building, and emerging consumer trends.

    In this conversation, Ben shares the core insight behind Recess: that relaxation would define the next major consumer category, driven by rising anxiety, changing alcohol consumption habits, and a cultural shift toward mental wellness. We dive into lessons on identifying non-obvious trends early, building a lifestyle brand in a crowded CPG market, and navigating major challenges like regulatory uncertainty and COVID-driven disruption. Ben also unpacks his philosophy on category creation, why great brands market outcomes instead of ingredients, and how founders should think about fundraising, timing, and long-term vision when building enduring companies.

    We also discuss:
    • How Recess validated product-market fit through user behavior
    • Building a brand-first flywheel using digital and DTC channels
    • Navigating the CBD regulatory crisis and COVID simultaneously
    • Fundraising strategy in capital-intensive categories like beverages
    • The long-term evolution of alcohol moderation and non-alcoholic drinks

    Learn more about Ben on LinkedIn and explore Recess at https://takearecess.com/

    (04:59) Ben Witte’s childhood and early influences
    (05:24) Whether Ben always saw himself becoming a founder
    (06:15) Early career and entry into startups through AdRoll
    (08:36) The aha moment behind starting Recess
    (11:16) Choosing adaptogens and betting on the relaxation trend
    (13:54) Early signs of product-market fit for Recess
    (15:57) Building the initial marketing flywheel and go-to-market strategy
    (18:04) The first investors who backed Recess
    (18:43) Fundraising strategy in a modern CPG environment
    (20:30) A major challenge and unexpected twist in building Recess
    (23:59) Scaling operations and evolving the supply chain
    (34:15) Ben’s favorite Recess products and flavors
    (34:28) What’s next for Recess and Ben personally
    (34:45) Perspective on alcohol moderation and consumer behavior trends
    (35:51) A woman who had a profound impact on Ben’s life and career

    For The Room Podcast in your inbox every week, subscribe to our newsletter.
    Follow us on Instagram
    Follow us on TikTok
    Check out our guide to podcasting here!
    Don't forget to subscribe to our channel on YouTube, Spotify, and Apple Music!

    Brought to you by Rippling and Perkins Coie.

    WX Productions


    S14E4: Why Usage-Based Billing Is Inevitable with Metronome Co-Founder Scott Woody Apr 07, 2026
    Show notes

    In this episode of The Room Podcast, we speak with Scott Woody, Co-Founder of Metronome, a platform helping companies implement usage-based billing and modernize how they monetize software.

    Metronome enables businesses to move beyond rigid subscription pricing and instead charge customers based on actual product usage. The platform sits at the core of a new shift in SaaS: pricing that aligns directly with value delivered, rather than seats or static tiers, giving companies more flexibility and better feedback loops on how their products are used.

    This episode explores how billing and pricing infrastructure are becoming critical levers for modern software companies and why aligning pricing with value will define the next generation of SaaS businesses.

    Before founding Metronome, Scott founded Foundry (later acquired by Dropbox) and went on to spend six years at Dropbox leading engineering teams, where he helped scale monetization systems from $200M to over $1B in revenue. His experience operating at scale deeply informed how he approached building billing infrastructure from the ground up.

    In this conversation, Scott shares the core insight behind Metronome: pricing is one of the most important yet underbuilt parts of software, and usage-based billing unlocks a more accurate reflection of customer value. He also reflects on early founder lessons, recognizing product-market fit, and why solving “unsexy” problems can lead to the biggest opportunities.

    We also discuss:
    • Lessons from building and shutting down his first startup, Foundry
    • Scaling monetization systems inside Dropbox during hypergrowth
    • Why usage-based pricing is more aligned with long-term customer value
    • Early signals of product-market fit and how to recognize them
    • Building trust and reliability in core infrastructure products
    • Navigating the acquisition of Metronome by Stripe

    Learn more about Scott on LinkedIn and explore Metronome at https://metronome.com/

    (04:50) Scott’s childhood and how it shaped his worldview
    (06:11) Did Scott always think he would become a founder?
    (07:15) The founding of Foundry and lessons from his first startup
    (09:29) Lessons from scaling monetization at Dropbox
    (12:37) The core insight behind Metronome and usage-based billing
    (15:43) Surprising ways customers used Metronome early on
    (18:55) The first customer that signaled product-market fit
    (21:27) The first investor who backed Metronome
    (23:48) A time during the founder journey when things didn’t go as planned
    (30:32) Building trust and reliability in billing infrastructure
    (41:15) Navigating the Stripe acquisition and transition
    (43:26) What Scott is most excited about for the future of usage-based billing
    (44:49) A woman who had a profound impact on Scott’s life and career

    For The Room Podcast in your inbox every week, subscribe to our newsletter.
    Follow us on Instagram
    Follow us on TikTok
    Check out our guide to podcasting here!
    Don't forget to subscribe to our channel on YouTube, Spotify, and Apple Music!

    Brought to you by Rippling and Perkins Coie.

    WX Productions


    S14E3: Ryan Daniels, Founder & CEO of Crosby, on Legal Services in the Age of AI Mar 31, 2026
    Show notes

    In this episode of The Room Podcast, we speak with Ryan Daniels, Founder and CEO of Crosby, an AI-first law firm rethinking how legal work gets delivered. Crosby combines AI systems with human legal expertise to provide faster, more transparent, and more scalable legal services, moving away from traditional billable hours toward outcome-driven work.

    Crosby is part of a broader shift in professional services, where AI is not just augmenting workflows but fundamentally reshaping how services are delivered. Instead of selling tools to lawyers, Crosby operates as a full-stack legal provider, meeting customers where trust already exists while embedding AI into the core of legal execution.

    In this conversation, Ryan shares the core insight behind Crosby: legal work is only partially about legal expertise, and largely about understanding business context, speed, and responsiveness. AI enables a shift where repetitive work is automated, allowing lawyers to focus on high-judgment decisions that actually impact outcomes.

    We also discuss:

    • Why selling tools to lawyers wasn’t enough and the importance of building a full-stack service
    • The broken incentives behind billable hours and how Crosby rethinks pricing
    • How trust plays a central role in legal services and in adopting new technology
    • The concept of “taste” in AI and maintaining high-quality outputs in critical workflows
    • The future role of lawyers as AI handles more of the repetitive work
    • Lessons from early customer behavior and product iteration
    • The mindset required to build in a rapidly evolving AI landscape

    This episode explores how AI is transforming professional services and why the next generation of legal companies will be built around integrated systems, speed, and aligned incentives rather than legacy workflows.

    Learn more about Ryan on LinkedIn and Crosby at their company website.

    (04:14) Crosby’s exciting news!
    (06:31) Ryan’s childhood and how it shaped his worldview
    (07:22) Growing up in a legal household
    (08:47) Whether Ryan always saw himself becoming a founder
    (10:02) Early career decisions from law into startups
    (11:51) The moment Ryan decided to build Crosby full time
    (12:00) The insight that selling tools to lawyers wasn’t enough
    (14:53) Rethinking legal pricing beyond billable hours
    (17:35) Early customer behavior and unexpected product usage
    (22:11) Dividing responsibilities with his co-founder
    (22:35) How Ryan’s legal background informs product development
    (26:33) The first investor who backed Crosby
    (32:43) Maintaining high taste in AI-driven legal work
    (34:46) Pareto efficiency in AI-powered legal negotiations
    (41:06) Personal growth as a founder and CEO
    (42:11) A woman who had a profound impact on Ryan’s life and career

    For The Room Podcast in your inbox every week, subscribe to our newsletter.
    Follow us on Instagram
    Follow us on TikTok
    Check out our guide to podcasting here!
    Don't forget to subscribe to our channel on YouTube, Spotify, and Apple Music!
    Brought to you by Rippling and Perkins Coie.

    WX Productions


    S14E2: Alex Halliday, Founder of AirOps, on Content Engineering and the AI Marketing Stack Mar 24, 2026
    Show notes

    In this episode of The Room Podcast, we speak with Alex Halliday, founder and CEO of AirOps, a platform helping companies build AI-powered content workflows and automate complex marketing operations.

    AirOps enables marketing and growth teams to orchestrate large-scale content generation using structured workflows, AI models, data integrations, and human-in-the-loop systems. The platform is part of a new category emerging in the AI ecosystem: the AI marketing stack, where companies move beyond simple prompt-based tools and instead build repeatable systems for producing high-quality content.

    Before founding AirOps, Alex built viral fan websites as a teenager and later founded SocialGo, eventually becoming the youngest CEO of a publicly traded company in the UK. His career has spanned early internet startups, hypergrowth technology companies, and now the modern AI platform landscape.

    In this conversation, Alex shares the core insight behind AirOps: great AI-generated content requires content engineering, meaning multi-step workflows that combine models, structured data, and human review rather than relying on a single prompt.

    We also discuss:

    • Alex’s early experience building viral websites and the origin of SocialGo
    • Lessons from becoming one of the youngest public-company CEOs in the UK
    • The importance of learning velocity as a competitive advantage for startups
    • Why the gap between AI-generated text and publishable content is larger than most teams realize
    • The concept of content engineering and why structured AI workflows matter
    • How AirOps discovered its initial product-market fit with marketing teams
    • Advice for founders raising venture capital in the AI startup environment
    • Why early-stage startups should focus obsessively on a narrow user segment
    • The emotional discipline required to navigate the founder journey

    This episode explores how AI is reshaping marketing infrastructure and why the next generation of software companies will be built around AI workflows, automation, and operational systems, not just models.

    Learn more about Alex Halliday on Linkedin and AirOps at https://www.airops.com/

    (05:03) Introduction and overview of AirOps
    (05:13) Alex Halliday’s childhood and early internet projects
    (05:54) Did Alex always think he would become a founder?
    (06:54) The viral fan website projects that led to SocialGo
    (08:09) Becoming the youngest CEO of a publicly traded company in the UK
    (10:15) Transitioning from SocialGo to product leadership and founding AirOps
    (13:36) Lessons learned operating inside hypergrowth companies
    (14:52) The original insight behind AirOps and the pivot to AI content workflows
    (18:36) What “content engineering” means and why AI content requires multi-step workflows
    (21:13) Interesting and unexpected use cases customers are building with AirOps
    (23:00) The first investor who backed AirOps
    (25:05) Fundraising advice for founders raising capital in the AI era
    (28:51) A founder moment where things did not go as planned
    (31:57) How to compete with other SEO platforms
    (40:14) How AirOps thinks about integrations and building an AI agent ecosystem
    (44:28) What’s next for AirOps
    (46:00) Personal growth as a founder and CEO, of their fourth company
    (47:20) A woman who had a profound impact on Alex’s life and career

    For The Room Podcast in your inbox every week, subscribe to our newsletter.
    Follow us on Instagram
    Follow us on TikTok
    Check out our guide to podcasting here!
    Don't forget to subscribe to our channel on YouTube, Spotify, and Apple Music!

    Brought to you by Rippling and Perkins Coie.

    WX Productions


    S14E1: Nirav Tolia, Nextdoor CEO, on Building Community Platforms, Product-Market Fit, and the Future of AI in Local Networks Mar 17, 2026
    Show notes

    In this season opener of The Room Podcast, we speak with Nirav Tolia, the co-founder and CEO of Nextdoor, the neighborhood network designed to connect verified neighbors and strengthen local communities.

    Nirav shares and refelcts the story behind building Nextdoor, one of the world’s largest hyperlocal social platforms, and reflects on the lessons he has learned scaling a product designed around real-world communities.

    Before founding Nextdoor, Nirav was one of the first 100 employees at Yahoo, where he witnessed the rise of the early consumer internet and the power of network effects. He later co-founded Round Zero, an early startup studio that helped shape his thinking about entrepreneurship and product development.

    In this conversation, Nirav discusses:

    • Growing up in Odessa, Texas, as the child of Indian immigrant physicians, and how those experiences shaped his understanding of belonging and community
    • Why he never planned to become a founder and how failure at Stanford University helped him find his strengths
    • The early days of Yahoo and how the dot-com era influenced his entrepreneurial path
    • The founding story behind Nextdoor and the challenge of building a platform designed for neighborhoods rather than global networks
    • How founders can identify product-market fit, including his framework of building a “painkiller vs. vitamin” product
    • The responsibility technology companies have when platforms surface bias, trust, and safety challenges
    • Why Nextdoor prioritizes quality of interactions over pure scale and engagement metrics
    • How Nirav thinks about the role of artificial intelligence in local communities, and why he believes AI should act as an advisor rather than a driver

    Learn more about Nirav Tolia on LinkedIn and explore Nextdoor at nextdoor.com.

    (03:51) Growing up in Odessa, Texas, and how early experiences shaped Nirav’s worldview
    (07:31) Why Nirav never planned to become a startup founder
    (09:51) Transitioning from pre-med to an English major at Stanford
    (12:41) Lessons from failure and discovering personal strengths
    (15:51) Joining Yahoo as one of its earliest employees during the dot-com era
    (18:01) How the early internet shaped Nirav’s view of network effects
    (20:51) Why Nirav left Yahoo at its peak to pursue entrepreneurship
    (22:21) The story behind Round Zero and how it prepared him to build companies
    (22:51) The founding story of Nextdoor and the opportunity in hyperlocal networks
    (25:21) How founders know when to pivot versus persevere
    (29:51) Identifying product-market fit and early signals of traction
    (34:25) The “painkiller vs. vitamin” framework for product strategy
    (36:25) Trust, safety, and moderation challenges in community platforms
    (37:55) Lessons from addressing racial profiling and bias on Nextdoor
    (40:25) How technology can help people become better neighbors
    (48:55) Why Nextdoor prioritizes quality interactions over traditional network effects
    (49:55) Nirav’s perspective on artificial intelligence and community platforms
    (1:00:25) A woman who had a profound impact on Nirav’s life and career

    For The Room Podcast in your inbox every week, subscribe to our newsletter.
    Follow us on Instagram
    Follow us on TikTok
    Check out our guide to podcasting here!
    Don't forget to subscribe to our channel on YouTube, Spotify, and Apple Music!

    Brought to you by Rippling and Perkins Coie.

    WX Productions


    From Stitch Fix to AI Search with Daydream Founder Julie Bornstein | Inside Summit 2025 [LIVE] Dec 23, 2025
    Show notes

    Welcome back to another episode of The Room Podcast! This week, Claudia and Madison sit down with Julie Bornstein, founder and CEO of Daydream, a new AI-powered shopping platform reimagining how people discover fashion online. Julie is a two-time founder with deep roots in digital commerce, having previously helped build Stitch Fix and later founded The Yes, which was acquired by Pinterest. With decades of experience at the intersection of retail, technology, and consumer behavior, Julie has been at the forefront of how people shop as the internet — and now AI — evolves.

    In this episode, Julie shares why search has always been the hardest and most important problem in e-commerce, and how generative AI finally unlocks a more human way to shop. She walks through the lessons she learned building algorithmic fashion at Stitch Fix, why inventory ownership limits personalization, and how The Yes shaped her thesis around intent-driven discovery. We also dive into founding Daydream after an acquisition unwind, the challenges of hiring the right early team, navigating retailer relationships without becoming an ads business, and what the future of shopping looks like when your stylist lives in your pocket. Tune in for a masterclass on consumer AI, founder resilience, and why being early — twice — doesn’t make it easier the third time around.

    (00:00) Introduction
    (05:20) Where did Julie grow up and how did it shape her view of the world?
    (06:31) Did Julie always think she would become a founder?
    (07:42) How did Julie’s early career in retail and e-commerce shape what she’s building today?
    (09:59) How did Julie’s philosophy evolve from Stitch Fix to The Yes to Daydream?
    (11:54) Why did Julie decide to become a founder again after selling The Yes to Pinterest?
    (14:54) How does Daydream avoid getting squeezed between retailers and consumers?
    (17:58) Who is Daydream’s core customer and why did Julie choose them first?
    (18:45) Who was the first investor to say yes to Daydream?
    (19:39) What unexpected challenges did Julie face early at Daydream?
    (21:41) How is AI changing Daydream’s business model decisions?
    (22:26) Should retailers rethink site architecture in an AI-driven search world?
    (23:14) How can companies make products more discoverable in an LLM-first future?
    (23:33) Does better AI indexing by retailers threaten Daydream’s value?
    (25:48) How does Daydream think about LLM interoperability and model choice?
    (26:44) How should retailers think about cloud providers in modern e-commerce stacks?
    (27:57) Does Julie consider Daydream an AI-native company?
    (29:23) What does the future of online retail look like?
    (31:39) What advice does Julie have for new founders?
    (33:44) Who is a woman in Julie's life that has had a profound impact on her and her career?

    For The Room Podcast in your inbox every week, subscribe to our newsletter.
    Follow us on Instagram
    Follow us on TikTok
    Check out our guide to podcasting here!
    Don't forget to subscribe to our channel on YouTube, Spotify, and Apple Music!

    Brought to you by Perkins Coie and Mercury.*
    *Mercury is a financial technology company, not a bank. Banking services provided by Choice Financial Group and Evolve Bank & Trust; Members FDIC.

    WX Productions


    Ethical AI, Iteration Velocity, and the Future of Software with Grant Lee (Gamma), Noah MacCallum (Open AI), Malte Ubl (Vercel), Chris Messina (Product Leader), Ash Kumrah (The AI Collective) | Inside Summit 2025 [LIVE] Dec 16, 2025
    Show notes

    In this special live panel episode of The Room Podcast from Inside Summit 2025, host Ash Kumra sits down with an all-star group of AI and product leaders: Noah MacCallum of OpenAI, Grant Lee of Gamma, Malte Ubl of Vercel, and Chris Messina, inventor of the hashtag and longtime product strategist. Together, they represent the cutting edge of applied AI, developer platforms, design tooling, and the social technologies that shaped how we communicate today.

    Throughout the conversation, the panel digs into what ethical AI actually means in practice, how founders should think about scaling from early demos to real-world robustness, and why “iteration velocity” may matter more than perfection. From Noah’s breakdown of vibes-based iteration versus formal evals, to Chris’s framing of AI as a new expressive medium rather than just a technology, this episode is packed with perspective for builders navigating the next era of software. The discussion ultimately challenges founders to focus less on hype and more on clarity of vision, taste, and long-term impact.

    (00:00) Introduction
    (04:28) Who are the panelists and what is each of them building or focused on today?
    (06:39) How does Noah define ethical AI, and where do the real risks show up in practice?
    (08:02) How should early-stage AI companies think about trust, safety, and responsibility?
    (11:26) What advice would the panel give founders trying to scale AI products from one to one hundred?
    (12:21) How do founders balance intuition, taste, and formal evals when improving AI products?
    (13:32) Why is long-term founder conviction more important than early AI traction?
    (14:33) How should founders think about AI as a medium rather than just a technology?
    (17:42) Which industries remain underexplored for AI, despite the current hype cycle?
    (20:25) Which customer segments surprised Gamma as adoption scaled beyond early users?
    (23:30) What unexpected user behaviors emerged during the early days of social media and AI?
    (27:00) What specific product, feature, or workflow is each panelist most excited about building right now?

    For The Room Podcast in your inbox every week, subscribe to our newsletter.
    Follow us on Instagram
    Follow us on TikTok
    Check out our guide to podcasting here!
    Don't forget to subscribe to our channel on YouTube, Spotify, and Apple Music!

    Brought to you by Perkins Coie and Mercury.*
    *Mercury is a financial technology company, not a bank. Banking services provided by Choice Financial Group and Evolve Bank & Trust; Members FDIC.

    WX Productions


    Navigating the New M&A Landscape with Indy Guha (VMG), Jared Roesch (OctoAI), Dan Kang (Mercury), Michelle Edwards (Perkins Coi) | Inside Summit 2025 [LIVE] Dec 09, 2025
    Show notes

    In this special Inside Summit episode of The Room Podcast, Claudia moderates a powerhouse panel featuring Michelle Edwards, Partner at Perkins Coie, Indy Guha, GP of VMG, Dan Kang, CFO of Mercury, and Jared Roesch, a founder who recently exited to NVIDIA.

    When startups challenge incumbents, winning deals requires more than just a great product. This episode shares how to master founder sales by building strong relationships and leveraging insider knowledge. Learn about crafting a compelling sales strategy and how to sell effectively, even when facing executive changes. With perspectives spanning legal, investor, financial, and operator experience, the panel breaks down how deals get sourced, what drives acquirer motivation, and how macro conditions—from AI acceleration to shifting public markets—are reshaping the paths available to startups.

    In this conversation, the group shares tactical lessons on preparing your company years before an exit, cultivating strategic relationships, and understanding the human and emotional realities of selling a business. They explore why deals fall apart, how founders can signal readiness to buyers, and why the best outcomes often begin long before a term sheet is drafted. Whether you're raising, scaling, or fielding interest from potential acquirers, this episode offers clear, actionable insights for building toward a successful transaction.

    (00:00) Introduction
    (06:05) What has each panelist’s experience been with M&A?
    (08:51) How is M&A shifting in 2025 from the investor side?
    (10:56) What is driving more companies towards M&A?
    (12:25) What are some of the most common structural shifts in deals today versus the past?
    (14:49) When does a founder know acquisition is the right path?
    (17:41) What is something that most founders don’t think of when it comes to being acquired?
    (21:28) How does a founding team build relationships with investors?
    (23:28) What red flags should a buyer or seller be looking for during negotiations?
    (28:27) How do you manage a team that's working and building that might not know that an acquisition is happening?
    (29:48) What do buyers wish founders did more of to set themselves up for a successful transaction?
    (32:36) How should founders approach the conversation of acquisition with their investors?

    For The Room Podcast in your inbox every week, subscribe to our newsletter.
    Follow us on Instagram
    Follow us on TikTok
    Check out our guide to podcasting here!
    Don't forget to subscribe to our channel on YouTube, Spotify, and Apple Music!

    Brought to you by Perkins Coie and Mercury.*
    *Mercury is a financial technology company, not a bank. Banking services provided by Choice Financial Group and Evolve Bank & Trust; Members FDIC.

    WX Productions


    Solving Data Fragmentation at Scale with Michel Tricot, Co-Founder & CEO of Airbyte | Inside Summit 2025 [LIVE] Dec 02, 2025
    Show notes

    Welcome back to another LIVE rendition of The Room Podcast! This week, we are back at our live conference, Inside Summit. Listen in as we sit down with Michel Tricot, Co-Founder and CEO of Airbyte — the open-source platform that’s transforming how companies move data across their modern stacks. Airbyte gives teams the ability to extract and load data from virtually any source, empowering both AI-native companies and legacy enterprises to sync their information seamlessly and securely across hundreds of tools.

    In this conversation, Michel shares the lessons behind scaling Airbyte from its first connector to 600+, building open source community momentum, and navigating shocks like COVID and a disrupted engineering team during the war in Ukraine. We dive into why ELT architecture matters, what separates AI-native companies from incumbents trying to adopt AI, and why founders should optimize for survival before anything else. Tune in for tactical guidance on fundraising, building at “internet scale”, breaking data silos, and how to stay grounded when the journey becomes nonlinear — because it always does.

    (00:00) Introduction
    (04:23) Where did Michel grow up and how did that shape his view of the world?
    (05:09) Did Michel always think he was going to become a founder?
    (05:35) What early career milestones led Michel to move to San Francisco?
    (07:56) What insights brought Michel to want to develop a better data stack?
    (09:25) How did Michel transition from full-time work to launching an open-source solution and building Airbyte?
    (11:05) Why did Michel choose to name Airbyte’s architecture as “ELT”?
    (12:01) How did the “ELT” architecture choice influence decisions around scaling the company?
    (13:15) What was Airbyte’s first connector?
    (13:33) What was harder — going from 1 to 50 connectors or from 50 to 600?
    (14:20) Who was the first person to ever say yes to investing in Michel?
    (14:47) What metrics convinced investors that Airbyte was a billion-dollar-plus market?
    (15:23) What advice does Michel have for first-time founders preparing for their first fundraise?
    (16:00) What is something that went wrong during the founder journey?
    (16:31) What does “AI data infrastructure” really mean — is it just rebranding?
    (17:39) Where does Airbyte fit in the evolving AI ecosystem?
    (18:47) How does Airbyte think about competing with giant platforms building internal integration tools?
    (20:08) What separates AI-native companies from larger incumbents trying to cross the AI chasm?
    (21:21) When data infrastructure is fully solved, what does that mean for the world?
    (22:26) What general career and life advice does Michel have for future founders today?
    (23:49) Who is a woman in Michel’s life that had a profound impact on him and his career?

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