Demo-led validation, charging from day 1, selling to AI-native companies, and finding resilient co-founders w/ Gil Feig @ Merge

Gil Feig (Co-Founder @ Merge) deconstructs the high-speed, tactical playbook for building a category-defining API company in the middle of the AI "space race." We discuss finding resilient co-founders who can handle the “trough of sorrow,” reimagining the Lean Startup Methodology through demo-led validation, and why charging for products from day one is the ultimate validation signal. Gil also shares frameworks for selling to AI-native companies, mental models for roadmap tradeoffs, and how to stay relevant as model capabilities shift. Plus, why you should skip avoid “brilliant jerks” and focus on hiring company builders instead. ABOUT GIL FEIG Gil Feig is the Co-Founder and CTO of Merge, which helps companies like Mistral, Ramp, and Perplexity integrate thousands of external apps into their products & AI agents. Previously, Gil was the Head of Engineering at Untapped and worked as a software engineer at Wealthfront and LinkedIn. A graduate of Columbia University, he now lives and works in San Francisco. ABOUT MERGE Merge is the leading provider of agentic tools and customer-facing integrations for frontier LLMs, Fortune 500 organizations, and B2B SaaS companies. To date, Merge has raised over $75 million in funding from Accel, NEA, and Addition. This episode is brought to you by xMatters! xMatters automates the entire incident lifecycle with their purpose-built AI powered workflow, giving your team the context they need to stop disruptions before they start and minimize resolution times. Head over to xmatters.com to learn more! SHOW NOTES: The "acute pain" of integrations: How blocking sales and cybersecurity struggles led Gil and Shensi to realize the massive B2B need for unified APIs (1:55)The co-founder pressure test: Why surviving a senior event on a $2,000 budget for 600 people proved they could weather the startup storm together (3:02)Signals of a resilient partnership: How to identify a co-founder who can handle the "trough of sorrow" and high-stakes decision-making (7:52)Hacking the trial period: Why you should prioritize "passion and steam" over pure technical skill and how weekend hackathons act as a "marriage" simulation (10:08)Engineering leader to founder: Navigating the shift from IC-style work to the "insane pressure" of ownership (12:12)Why walking is a founder's best stress-management tool (13:32)Aligning on the premise of Merge: The intentional process of moving from a broad problem space to a category-defining API company (14:39)Demo-led validation: Reimaging the lean startup methodology with vibe-coded prototypes (17:05)Charging from day one: Using payment as signal to distinguish between polite beta-testers and customers with a genuine, validated need (19:36)Leveraging AI agents and plug-and-play prompts to bypass the "12-month engineering backlog" and make onboarding instant (21:08)How to win the "build vs. buy" argument by solving problems too complex for a 10-minute vibe-coding session (23:31)Signs of true category fit: How to recognize customer “pull” vs. “push” (24:07)Applying Mark Benioff’s mantra: "If we were founding the company today, what would we build?" to stay relevant as model capabilities shift (26:50)Selling to AI-Native companies: Why selling to AI companies requires "real services," high speed, and a willingness to ship custom features by Monday (29:05)Frameworks for roadmap trade-offs: Tactical advice for delegating engineering resources and navigating the tension between new features and core infrastructure (33:31)Hire "company builders": Avoiding "brilliant jerks" and why your first 10 hires must be optimized for 14-hour-day passion over raw resume depth (35:18).Building the "nervous system" for AI: Gil’s vision for a world where software is built for agents first, and why that requires a fundamental shift in how we think about infrastructure (37:29)The "hot takes" ritual: Maintaining a judgment-free Slack channel and weekly meeting to constantly challenge and "groundhog" your own assumptions (38:10).Filtering signal from noise: Why the best ideas are non-consensus and how to form opinions based on new model capabilities rather than Twitter FOMO (39:20).Rapid fire questions (40:50) This episode wouldn’t have been possible without the help of our incredible production team: Patrick Gallagher - Producer & Co-Host Jerry Li - Co-Host Noah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/ Dan Overheim - Audio Engineer, Dan’s also an avid 3D printer - https://www.bnd3d.com/ Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.