Founder sales lessons from the messy middle.
The Predictable Revenue Podcast is a brisk interview show about how founders and sales leaders prove demand, find customers, and sharpen go-to-market. Colin Stewart keeps conversations close to the messy decisions behind first revenue, product demos, sales scripts, and repeatable growth.
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The Predictable Revenue Podcast is a practical sales and founder interview show centered on the real work of finding demand. Its recent episodes spend a lot of time on product-market fit, especially with founders building AI products. The tone is conversational and direct. Colin Stewart usually starts with the origin story, then pushes toward the sharper questions: who bought first, what pain showed up, what got cut, and what made the value obvious. That gives the show a useful founder-to-founder rhythm. It is not a lecture series. It is more like listening to a working session where the guest has to explain how the product became real outside the founder's head. Olga Voigt talks about selling value instead of walking prospects through features. Sridhar Uyyala describes narrowing a broad automation idea into a front-desk engagement product for dental clinics. Gavin McNamara traces an AI app idea from a garage full of objects to Real Worth. Ome Ogbru explains how AI Engines and MacG serve content teams with evidence-grounded tools. Asad Tirmizi brings the conversation into robotics, school research, and a stream of product insights rather than one clean lightbulb moment. Other episodes move into B2C outbound and Apollo's AI tools for go-to-market teams. The show has a clear pattern: stories become operating lessons. It repeats the lesson when repetition helps. The best moments come when a guest admits that the first version was too broad, too feature-led, or too hard to sell. That is where the show earns its keep. It treats sales as feedback, not just persuasion. For founders trying to get from interesting product to actual revenue, that makes the conversations unusually useful.
Made for: Built for founders, sales leaders, and go-to-market operators trying to validate products, find first customers, or tighten an early revenue motion. It especially suits people who prefer concrete founder stories over abstract sales advice.
What sets it apart: The show keeps pushing past origin stories into the exact point where a product found pain, value, and a buyer. Its strength is the practical bridge between product-market fit, outbound sales, and founder-led selling.
We interview outbound sales leaders so that you can learn directly from the people on the front lines. Our goal is to help our audience learn sales development, coaching, and prospecting best practices from people that are currently building or have built SDR teams.
Based on 6 episodes we listened to · September 2026
Colin Stewart makes product-market fit legible by tracing how founders test demand, win early customers, and revise what they sell.
The Predictable Revenue Podcast turns early-stage selling into a series of working problems. Colin Stewart asks founders and revenue leaders to retrace how they identified demand, found initial customers, refined a pitch, and changed products after watching people use them.
Colin Stewart asks where the customers came from; your beautiful demo is on notice.
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Short reviews from the PlayNext desk, based on the episodes we processed.
A founder turns product demos into conversations about decisions, priorities, and business value.
The Predictable Revenue Podcast frames product-market fit through sales practice, with Olga Voigt, co-founder of Zibble AI, explaining why a demo can show the product and still miss the buying decision. Her most useful distinction is between showing features and showing value.
A founder conversation about narrowing an ambitious platform until its job is clear.
Product-market fit gets a practical workout in this PlayNext review of a dental-clinic product finding its real shape. Sri starts with a wide plan to solve operational problems, then narrows after an operations manager points him toward patient engagement.
A garage-born product idea becomes a grounded look at finding a narrow AI starting point.
Gavin McNamara's product-market-fit story starts with a practical itch. After about seven years building large-scale products at Axon Enterprise, he saw AI as a way to do more with tools already close at hand.
A practical look at using early feedback to test product-market fit for a life sciences AI product.
A founder CEO's product-market-fit story gives this episode a practical path into AI for life sciences: begin with a problem people recognize, then pay close attention to how they use the product.
A founder's product redesign turns validation into visible customer evidence.
Product-market fit lands as a hands-on product problem, not a slogan. Alexey traces Endeavor from a sharper pitch and SDR motion into demos, customer conversations, and ongoing checks on new use cases.
A practical look at how incentives and shared playbooks shape the sales-to-customer-success handoff.
Sales and customer success can pull in different directions when specialized roles and incentives do not point toward the same outcome. Colin Stewart's conversation with Daisy Chung, head of revenue strategy at Aurum, grounds that tension in a HubSpot example Stewart links to…
Door-to-door lessons from the field.
Persuasion psychology for practical business moments.
Plain-spoken sales coaching for the real field.
Daisy Chung, head of revenue strategy at Aurum, discusses how to align sales and customer success teams to drive revenue.
Walt Maclay, founder and chairman of Volar Systems, shares his 46-year journey from selling products worldwide to building a niche consulting firm focused on wearable medical devices.
Colin Stewart interviews Jacob Bank about the evolution of Relay.app, an AI workflow platform, discussing its three phases and the shift from feature overload to customer-centric perspective.
Sales leader Huey shares his personal story of overcoming epilepsy and how it shaped his philosophy of building people-based businesses to turn around companies with sales problems.
Olga Voigt talks product-market fit without floating off into founder jargon.
Sri traces TensorFlow Links from a 2017 plan for an in-car AI assistant to a narrower dental-clinic front desk after several failed assistant products.
Colin Stewart talks with Gavin McNamara, founder of Why Not Us and RealWorth, about turning AI experiments into a business after seven years at Axon Enterprise and product work at HAL.
A customer said the choice was between MACG and Copilot, and Omi O'Brew says that vote mattered more than a polished demo.
Asad Tirmizi discusses finding product-market fit in the robotics industry, drawing from his PhD experience and founding Trenner.
Alexey Sapochnikov, founder and CEO of Endeavor, tells Colin Stewart how a late-2022 idea about AI, cybersecurity, and overpriced software became a bootstrap company.
Brandon Healy discusses how to effectively cut B2C customer acquisition costs in half through iterative outbound sales strategies.
Tyler Phillips, Principal Product Manager of AI Platform at Apollo, discusses the new AI Power-Ups feature that automates research, targeting, and personalized messaging for go-to-market teams.
Mase Issa discusses the genesis of Fixify and the challenges of validating a startup idea and acquiring first customers.