『Zero to Umm...』のカバーアート

Zero to Umm...

Zero to Umm...

著者: Kyle Hudson
無料で聴く

今ならプレミアムプランが3カ月 月額99円

2026年5月12日まで。4か月目以降は月額1,500円で自動更新します。

概要

Dive into the raw, unfiltered journey of startup founders and CEOs as they navigate the tumultuous waters of entrepreneurship. "Zero to Umm..." flips the script on typical success stories, focusing instead on the pivotal moments of uncertainty, fear, and adaptation that truly define a startup's path.2025 Kyle Hudson マネジメント マネジメント・リーダーシップ リーダーシップ 経済学
エピソード
  • Steven Plappert - Forecastr
    2026/04/22

    Episode Stack: https://stackl.ist/4tqYPeB

    Steven Plappert closed Forecastr's Series A the day before his last payroll would have cleared the bank. Six weeks later, he's sleeping eight hours a night for the first time as a founder.

    In this episode of Zero to Umm, Steven and I trace the full arc: failing his first company after three years, walking the Appalachian Trail from Georgia to Maine, meeting his co-founder Logan Burchett by accident at a CFO shop in Louisville, and building Forecastr through six years of round-to-round survival.

    Key topics:

    • Why curiosity, a greatness obsession, and a high tolerance for volatility pointed Steven toward entrepreneurship
    • The FantasyHub shutdown that paid him $12,000 a year for two years — and the identity crisis that followed
    • 2,000 miles on the Appalachian Trail and the idea that wouldn't stop nagging him while he walked
    • The second-time founder playbook: why Steven never raised without a paycheck and never dropped below three months of runway
    • Hell Week at Christmas 2020 — four people hand-migrating 100 Google Sheets models into the new product
    • The Series A that died when Silicon Valley Bank did
    • His Iron Man suit philosophy: why Forecastr is building for a human in the loop, not against one
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    1 時間
  • Thomas Peham - Otterly.ai
    2026/04/15

    Episode Stack: https://stackl.ist/3QEYaYe

    Thomas Peham spent a decade building marketing engines for other people's companies — from a tiny PLG startup to a venture-backed company that raised $138M in funding. Then he noticed something that changed everything: ChatGPT was answering questions his clients used to win on Google, and nobody had a way to measure it.

    In this episode, Thomas shares the full story behind Otterly AI — from the aha moment in his car to a Product Hunt launch with no pricing, a TechCrunch feature before Christmas, and scaling to 20,000 users in a single year without taking VC money.

    Key topics:

    • Growing up in Austria with no business background and stumbling into SEO through HTML hobby projects
    • Building Usersnap's inbound engine from zero marketing budget to seven figures through content alone
    • The moment he realized AI search was going to disrupt everything he'd spent years mastering
    • Launching on Product Hunt with a "super scrappy" product and no pricing page
    • Why 15% of website traffic now comes from AI agents — and what that means for marketers
    • Bootstrapping a 17-person company in a category that didn't exist two years ago
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    50 分
  • Andrew Boos - Darwinian Ventures
    2026/03/17

    Episode Stack: https://stackl.ist/4sSOZBB

    Andrew Boos is the founder of Darwinian Ventures, a fractional sales advisory firm that builds go-to-market teams for early-stage B2B startups. He's also quietly investing in his own clients from profit, not a fund.

    Before Darwinian, Andrew had a profitable exit at 24 from a startup that began as an ad exchange for China (yes, really), fell into post-exit depression nobody wanted to hear about, learned enterprise sales under a CRO with a $4.2 billion annual quota at a Sutter Hill incubation, blew his exit money trying to launch a quantitative hedge fund, and started freelancing to pay rent when law firms came knocking.

    We talk about why a linear path to entrepreneurship is a privilege, what happens when your North Star disappears after an exit, how he built Darwinian from a solo 1099 gig into an embedded sales team that's worked with 100+ startups, and why he's now writing small checks into companies where he can see product-market fit before the founders do.

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    52 分
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