『Zero to Umm...』のカバーアート

Zero to Umm...

Zero to Umm...

著者: Kyle Hudson
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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
  • Cody Schneider (Graphed): What It Takes to Build AI Marketing Agents That Work
    2026/04/29

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

    You've heard the pitch: AI agents that run your marketing, write your content, manage your ads, source your leads. It sounds like science fiction, or at minimum, like something that works for someone else's company. Cody Schneider has actually built it. In this episode, Cody, co-founder of Graphed, former growth lead at Rupa Health, and serial builder from Coeur d'Alene, Idaho — sits down with Kyle to get specific about what's real and what's hype in the AI go-to-market space. He's not philosophizing from the outside. He built a sourcing agent before breakfast the morning of this recording.

    Discussion topics:

    - Why "just give an agent a task" fails, and what agent orchestration actually looks like when it works
    - The AI SDR post-mortem: why those tools didn't fail because AI is bad, and what the wrong optimization metric actually costs you
    - How Cody thinks about "biology": whether an idea has the structure to become a real company or a good side project
    - The compounding go-to-market loop: layering channels, acting on signal, and why you never stop what's working
    - Data quality as the hidden killer of every AI analytics project (including why your Facebook ads API data is probably wrong)
    - Vibe coding from 0 to 80% vs. 80% to production & why that gap is where companies get stuck
    - What a GTM engineer actually does in 2026, and why that skillset is one of the rarest in the market right now
    - The future Cody is betting on: agent teams, services bought as outcomes, and what happens when the cost of intelligence approaches zero

    Key moments:
    [00:00] Board meetings with your agents
    [01:00] An agent Cody built before 8am and what it did [04:12] How Cody evaluates whether an idea has "biology" to be a real company
    [08:56] From Etsy scraping to Rupa Health: the origin story
    [15:48] Signal and noise — acting fast when you have it
    [18:00] Why AI SDRs failed (it wasn't the agents)
    [22:12] Software that molds to the user: the end of dropdown UIs
    [27:12] Vibe coding's dirty secret
    [33:06] Where Cody sees Graphed in six months
    [49:15] Cody's homework for non-technical founders right now
    [52:30] Kyle's live Graphed demo: Apollo, Stripe, QuickBooks, Brex, and PostHog in one afternoon

    続きを読む 一部表示
    57 分
  • 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
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