『The Next New Thing』のカバーアート

The Next New Thing

The Next New Thing

著者: Andrew Warner
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Creating with AI is fun. Turning it into a growing business is even more fun.2025 Bootstrapped Giants マネジメント・リーダーシップ リーダーシップ 経済学
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  • Easy Zapier AI Automations - ft founder Wade Foster
    2025/12/19

    Episode highlights:

    [00:00:00] Businesses built entirely on Zapier
    [00:01:30] The roofer-turned-automation-agency story
    [00:03:54] What AI enables that wasn’t possible before
    [00:07:12] OpenAI Agents vs. Zapier workflows
    [00:11:15] Connecting AI agents to real business tools
    [00:13:03] Building a meeting-prep agent live
    [00:18:00] Why AI is great at building workflows, not just running them
    [00:23:06] Zapier customers, revenue, and bootstrapping discipline
    [00:28:57] AI-powered lead qualification in real time
    [00:33:18] Automation agencies and speed-to-lead economics
    [00:40:03] Why Zapier is positioned to last
    [00:42:45] Using AI as a neutral leadership coach
    [00:47:06] AI tools Wade personally uses

    In this episode, Andrew Warner sits down with Wade Foster, co-founder and CEO of Zapier, to explore how AI agents, automation, and workflows are reshaping how modern businesses operate — from solo founders to companies doing hundreds of millions in revenue.

    Wade shares real examples of people who’ve gone from running local service businesses to launching automation agencies powered almost entirely by Zapier. Together, they break down how AI changes what workflows can do, why agents and automations are complementary (not competitors), and how founders can turn speed-to-lead, personalization, and internal tooling into real revenue.

    You’ll see a live walkthrough of building AI agents inside Zapier — including meeting prep, lead qualification, and internal coaching — all without writing code.

    👉 Join us: https://thenextnewthing.ai/

    👉 Team member feedback Zap: https://l.thenextnewthing.ai/r/Pdja7P

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    52 分
  • Quanta landed $20 Million for AI Accounting
    2025/12/17

    🎧 Highlights:
    [00:00:00] Humans doing the work of AI — before AI existed
    [00:01:12] Why accounting is mostly about language, not numbers
    [00:02:33] Shadowing bookkeepers to find automation opportunities
    [00:06:00] Manual work Quanta knew software had to replace
    [00:07:30] Why building on top of legacy systems wasn’t enough
    [00:08:24] Rebuilding the ledger from the ground up
    [00:10:12] Continuous reconciliation vs. monthly closes
    [00:11:24] From Affirm to founding Quanta
    [00:13:30] Why delayed financials are useless for startups
    [00:16:03] Validating willingness to pay before building
    [00:17:42] Using humans for the “last mile” while automating the rest
    [00:20:15] Solving trust and data-ownership concerns
    [00:22:48] Why most QuickBooks challengers failed
    [00:26:33] Saying no to customers to protect quality
    [00:33:36] Why AI makes real-time margins mandatory
    [00:36:45] Raising $15M Series A ($20M total)
    [00:37:21] Prism: asking your financials questions in plain English


    In this episode, Andrew Warner interviews Helen Hastings, founder of Quanta, an AI-powered accounting platform built for modern software companies.

    Before AI could reliably understand financial data, Helen and her team had humans doing what AI does today — reading receipts, interpreting memos, categorizing transactions, and reconciling books by hand. That hands-on approach helped her uncover where automation really mattered, leading to a ground-up rebuild of accounting software that works in near real time.

    Helen shares how Quanta replaces legacy systems by owning the data end-to-end, combining clean ledgers, continuous reconciliation, and AI-powered analysis — and why this approach helped the company raise $15M in Series A funding (over $20M total) and land nearly 100 customers so far.

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    41 分
  • AI made a “no code” guy into a coder
    2025/12/08

    🎧 Highlights:
    [00:00:00] From Makerpad to Factory — Ben Tossell’s journey
    [00:01:33] Life after acquisition and redefining work
    [00:05:06] Why AI might make things harder, not easier
    [00:07:30] No-code lessons and the illusion of simplicity
    [00:10:42] From teaching no-code to debugging workflows
    [00:12:00] Learning to code with AI as your translator
    [00:15:09] Curiosity as the new technical skill
    [00:16:21] Building a “source of truth” AI system inside Factory
    [00:23:42] How Ben uses AI to search across code, docs, and tickets
    [00:27:36] Teaching AI to follow his workflow
    [00:30:27] Getting comfortable with the command line
    [00:33:45] The first time AI made him feel like a real builder
    [00:35:42] Makerpad’s growth, Slack community, and hiring from within
    [00:41:24] Newsletter growth hacks and lessons from Ben’s Bites
    [00:46:03] Selling Makerpad and rediscovering purpose
    [00:49:39] Investing through Ben’s Bites Fund
    [00:50:33] Returning to his roots: teaching, learning, and building again
    [00:53:18] The one-person billion-dollar company — myth or movement?

    In this episode, Andrew Warner talks with Ben Tossell, creator of Makerpad — the #1 community for no-code builders, which he later sold to Zapier. Now at Factory, Ben is helping developers build with AI instead of code — and rethinking what “technical” even means.

    Ben opens up about the post-acquisition burnout that came after his sale, why he avoided starting another company, and how AI has reignited his creativity. Together, they explore what it means to go from no-code to “AI-native,” and why the dream of one-person billion-dollar companies might be closer than it sounds.

    👉 Join us: https://thenextnewthing.ai/

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    54 分
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