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379 – How Zohar Bronfman built AI that actually delivers ROI

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Manage episode 508187388 series 2126071
Content provided by Ton Dobbe. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ton Dobbe or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

A story about rejecting the magic wand approach to AI—and building something businesses can actually use.

This episode is for Mid-market SaaS founders tired of AI hype who want to build something that creates real customer value—not just impressive demos.

Most SaaS companies don't fail because of bad tech. They fail because they chase hype over value.

Zohar Bronfman, CEO of Pecan AI, took a different path. After years researching AI and philosophy in academia, he saw Amazon, Uber, and Spotify dominating with predictive AI—while thousands of smaller companies couldn't even get started. Instead of building another "AI for everything" platform, he focused obsessively on one thing: making predictive AI accessible to mid-market companies who couldn't afford data science teams.

And this inspired me to invite Zohar to my podcast. We explore why curiosity beats strategy when building in uncertain markets. Zohar shares hard-won insights about deprecating profitable features, why small teams outperform large ones, and how to identify which enterprise capabilities actually matter for mid-market customers. You'll discover why Pecan almost never loses customers—despite operating in the brutally competitive AI space.

We also zoom in on two of the 10 traits that define remarkable software companies:

  • Trait #2: Be valuable and desirable
  • Trait #6: Create fans, not just customers

Zohar's story is proof that sustainable growth comes from solving real problems—not riding waves.

Here's one of Zohar's quotes that captures his philosophy:

"You can sell things, especially to larger organizations. You can sell things that actually don't have ROI. You can sell things that either look shiny, sound shiny or smell shiny, or all of the above. But ultimately, if you put yourself in a rigorous test, did I make a change? Did I actually add value to the system? The answer could have been no in many cases."

By listening to this episode, you'll learn:

  • Why killing profitable features strengthens retention
  • What happens when you ignore VCs' market advice
  • When customer honesty beats sales promises
  • Why hiring slower creates faster growth

For more information about the guest from this week:

Guest: Zohar Bronfman, CEO Pecan AI

Website: pecan.ai

  continue reading

381 episodes

Artwork
iconShare
 
Manage episode 508187388 series 2126071
Content provided by Ton Dobbe. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ton Dobbe or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

A story about rejecting the magic wand approach to AI—and building something businesses can actually use.

This episode is for Mid-market SaaS founders tired of AI hype who want to build something that creates real customer value—not just impressive demos.

Most SaaS companies don't fail because of bad tech. They fail because they chase hype over value.

Zohar Bronfman, CEO of Pecan AI, took a different path. After years researching AI and philosophy in academia, he saw Amazon, Uber, and Spotify dominating with predictive AI—while thousands of smaller companies couldn't even get started. Instead of building another "AI for everything" platform, he focused obsessively on one thing: making predictive AI accessible to mid-market companies who couldn't afford data science teams.

And this inspired me to invite Zohar to my podcast. We explore why curiosity beats strategy when building in uncertain markets. Zohar shares hard-won insights about deprecating profitable features, why small teams outperform large ones, and how to identify which enterprise capabilities actually matter for mid-market customers. You'll discover why Pecan almost never loses customers—despite operating in the brutally competitive AI space.

We also zoom in on two of the 10 traits that define remarkable software companies:

  • Trait #2: Be valuable and desirable
  • Trait #6: Create fans, not just customers

Zohar's story is proof that sustainable growth comes from solving real problems—not riding waves.

Here's one of Zohar's quotes that captures his philosophy:

"You can sell things, especially to larger organizations. You can sell things that actually don't have ROI. You can sell things that either look shiny, sound shiny or smell shiny, or all of the above. But ultimately, if you put yourself in a rigorous test, did I make a change? Did I actually add value to the system? The answer could have been no in many cases."

By listening to this episode, you'll learn:

  • Why killing profitable features strengthens retention
  • What happens when you ignore VCs' market advice
  • When customer honesty beats sales promises
  • Why hiring slower creates faster growth

For more information about the guest from this week:

Guest: Zohar Bronfman, CEO Pecan AI

Website: pecan.ai

  continue reading

381 episodes

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