Product-Market Fit and Pragmatic AI: Insight from RevenueCat's CTO Miguel Carranza

In this episode of "How Many CTOs Does It Take?" podcast, hosts Scott Porad and Brad Hefta-Gaub" interview Miguel Carranza Spanish-born co-founder/CTO of RevenueCat, who describes discovering subscription billing pain while building the Elevate app and turning that hard, "boring" problem into a YC-backed business. He explains RevenueCat's scale (billions of API requests/day) and the resulting priorities: product-market fit, reliability/security, and sustaining culture in a fully remote team across 27 countries. Scott and Brad commiserate with Miguel about avoiding platitudes in company values by grounding them in specific principles—always be shipping, customer obsession, ownership, balance, pragmatism, and healthy paranoia—reinforced through public shout-outs and performance expectations, plus examples of choosing customer support over strict entitlement. The discussion covers AI's tailwinds, internal adoption, standardizing workflows, a rule that PR authors must understand every line, and why auto-generating PRs from bug reports still requires context and triage.

00:00 Cold Open 00:24 Meet Miguel Carranza 01:06 From Spain to Startups 02:28 Subscription Billing Pain 04:50 Building RevenueCat 09:49 Scaling and Reliability 11:16 Culture as a CTO Job 14:31 Defining Company Values 16:56 Pragmatism and Paranoia 19:16 Making Values Real 23:24 Values Over Talent 24:39 Daily Value Decisions 24:58 Slack Support Dilemma 26:28 Pragmatic Customer Fixes 28:38 Culture Fit Reality 30:02 AI Era Product Fit 35:06 Organic AI Adoption 37:28 AI Coding Guardrails 40:49 Bug To PR Debate 44:48 Engineering Identity Shift 47:30 Closing Thank Yous And Plugs Resources:

How Many CTOs Pod: https://howmanyctospod.com
Scott Porad: https://www.linkedin.com/in/scottporad/
Brad Hefta-Gaub: https://www.linkedin.com/in/bradheftagaub/
Miguel Carranza: https://www.linkedin.com/in/miguelcarranza/
RevenueCat: https://www.revenuecat.com/

#TechPodcast #EngineeringPodcast #DevTalks #PodcastForDevs #HowManyCTOs #Podcast #CTOs #CTOPodcast #ChiefTechnologyOfficer #Technology #Engineering #SoftwareDevelopment #SoftwareEngineering #TechLeadership #EngineeringLeadership #EngineeringCulture #TechDebates #SoftwareDevelopment #StartupSuccess #StartupCulture #TechEntrepreneurship #Innovation #AI #AIRevolution #AIAssistedProgramming #AICoding #RevenueCat

Det här avsnittet är hämtat från ett öppet RSS-flöde och publiceras inte av Podme. Det kan innehålla reklam.

Avsnitt(85)

The Hardware/Software Blend: Visionary Innovations in Health Tech with Eyebot's Jack Moldave

In this episode of "How Many CTOs Does It Take?" podcast, hosts Scott Porad and Brad Hefta-Gaub interview Jack Moldave of Eyebot, a company he co-founded nearly six years ago to make getting glasses a...

1 Sep 52min

Fast, On Time, or Fully Utilized? Choosing What to Optimize in Engineering Delivery

In this episode of "How Many CTOs Does It Take?" podcast, hosts Scott Porad and Brad Hefta-Gaub discuss a leadership conversation where three senior stakeholders wanted different outcomes from enginee...

25 Aug 16min

The Pace of Innovation: Systems Thinking for Faster Engineering

In this episode of "How Many CTOs Does It Take?" podcast, hosts Scott Porad and Brad Hefta-Gaub open with travel and sports talk, including World Cup rules, then pivot to Scott's change-management tra...

18 Aug 56min

Method to the Madness: A CTO Framework for Systemic AI Adoption

In this episode of "How Many CTOs Does It Take?" podcast, hosts Scott Porad and Brad Hefta-Gaub discuss how CTOs must frame narratives that help teams organize around ideas, inspired by how Scott expl...

11 Aug 45min

There's A Pattern To Follow: An Interview with Robert "Uncle Bob" Martin

In this episode of "How Many CTOs Does It Take?" podcast, hosts Scott Porad and Brad Hefta-Gaub are honored to interview Robert "Uncle Bob" Martin, who recounts his 60+ year programming journey from a...

4 Aug 1h 1min

Is Uncle Bob Right? Reading Code vs. Architecting the Future

In this episode of "How Many CTOs Does It Take?" podcast, hosts Scott Porad and Brad Hefta-Gaub discuss how Robert "Uncle Bob" Martin—author of Clean Code and Agile Manifesto signer—sparked online con...

28 Juli 43min

Token Maxxing and Local Inference: Navigating the Shift in AI Usage for Developers

In this episode of "How Many CTOs Does It Take?" podcast, hosts Scott Porad and Brad Hefta-Gaub discuss token spending and the "token maxing" backlash, sparked by a GitHub Copilot budget issue and bro...

21 Juli 1h

This Has Always Been A Problem: Slot Machine Devs and Growing Junior Engineers in the Age of AI

In this episode of "How Many CTOs Does It Take?" podcast, hosts Scott Porad and Brad Hefta-Gaub discuss how managing armies of coding agents can be physically draining, likening it to context switchin...

14 Juli 56min