Agents of Scale

Lovable's Ryan Meadows on the New GTM Playbook

42 min · 11 de jun de 2026
Portada del episodio Lovable's Ryan Meadows on the New GTM Playbook

Descripción

Ryan Meadows joins Wade Foster and Dan Slagen on Agents of Scale to talk about how his revenue org is being rebuilt from the ground up: no traditional BDR team, AI-assisted outbound, customer feedback shipped in minutes, and creativity as the new hiring signal. Ryan's point: when your product lets almost anyone build software, you can't run the old playbook. You have to throw away 70-80% of it. AI handles account ID and outreach. Humans handle quality, creativity, deployment, and change management. And pace becomes the only operating metric that matters. In this episode: - Why Lovable hasn't hired a traditional BDR team - The AI BDR workflow: human-in-loop → approval rate → autonomous - The 80% admin problem that turned Ryan into a Lovable customer - Hiring for creativity over function - Feedback to shipped feature in minutes - Enterprise adoption: governance, permissions, and the "co-founder" framing - Why executives moving into AI companies need to drop the old playbook - "Everything is pace" as the operating question Subscribe for more conversations with the operators and builders turning AI from experiment into infrastructure.

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episode Lovable's Ryan Meadows on the New GTM Playbook artwork

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Ryan Meadows joins Wade Foster and Dan Slagen on Agents of Scale to talk about how his revenue org is being rebuilt from the ground up: no traditional BDR team, AI-assisted outbound, customer feedback shipped in minutes, and creativity as the new hiring signal. Ryan's point: when your product lets almost anyone build software, you can't run the old playbook. You have to throw away 70-80% of it. AI handles account ID and outreach. Humans handle quality, creativity, deployment, and change management. And pace becomes the only operating metric that matters. In this episode: - Why Lovable hasn't hired a traditional BDR team - The AI BDR workflow: human-in-loop → approval rate → autonomous - The 80% admin problem that turned Ryan into a Lovable customer - Hiring for creativity over function - Feedback to shipped feature in minutes - Enterprise adoption: governance, permissions, and the "co-founder" framing - Why executives moving into AI companies need to drop the old playbook - "Everything is pace" as the operating question Subscribe for more conversations with the operators and builders turning AI from experiment into infrastructure.

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