The SaaS Podcast: Founder Interviews - Page 5

George Richardson, AeroCloud

From Race Car Driver to Vertical SaaS CEO at 60 Airports

George Richardson is the co-founder and CEO of AeroCloud, an airport management platform that helps airports optimize operations and revenue using AI and machine learning. In 2017, after retiring as a professional race car driver, George was looking for a new challenge. He randomly met Ian at a coffee shop in England. Ian had previously built and sold an on-prem software product for airports. Together, they decided to build an app to help airlines resell last-minute plane tickets. But they struggled for two years to gain traction. The airline market was brutal - thin margins, demanding buyers, and no clear path to a category-defining company. Eventually, they asked themselves a simple question: why not take Ian's proven on-prem airport management software and reinvent it for the cloud? They pivoted and started building a vertical SaaS product for airports. But even with Ian's domain expertise, signing those critical first customers proved difficult. Nobody wanted to be the first airport to adopt mission-critical software from an unproven startup. A breakthrough came at the Florida Airports Council conference. After emailing every attendee and getting zero responses, George spent three days floor-walking and getting rejected. Then at 4pm on the last day, a text came from a guy named Parker: "I'm at the bar. You can buy me a beer." By 11pm, they had a handshake deal. If AeroCloud built specific features for his airport, Parker would pay. Within three months, Ian built the product. Parker became their first customer, then evangelized AeroCloud to other airports. Tampa International signed on as their second customer - and actually paid AeroCloud to further develop the product. That revenue, combined with venture capital, launched their vertical SaaS growth engine. AeroCloud scaled from $200K ARR without outside funding to raising nearly $18 million across seed and Series A rounds. They nearly ran out of runway before their second raise when lumpy enterprise deals missed their timelines. But their seed investors led the follow-on round, and a quarter later revenue tripled. Today AeroCloud serves 60 enterprise airport customers, employs 60 people across the US and UK, and generates multiple millions in ARR.

Nate Sanders, Artifact

How This AI SaaS Solved the Cold Start Data Problem

While working at Pluralsight, Nate Sanders spent 70-85% of his time doing something most product leaders dread - manually synthesizing customer research data across departments. Teams were running thousands of customer interviews a year, but the synthesis was happening in glass conference rooms covered in sticky notes, with 10 people earning $150K+ spending two days on affinity mapping exercises. When the first large language model, BERT, emerged in 2018, Nate ran internal experiments and saw promising results. He and co-founder Trey spent seven months of nights and weekends building prototypes in React, testing half a dozen different product ideas before raising a small angel round from friends and family in the Salt Lake City area. But building an AI SaaS product created a painful chicken-and-egg problem. Artifact needed training data to fine-tune its models, but getting training data required having customers, and customers required a working product. Nate solved this by recruiting nearly a dozen design partners through his network, offering free product access in exchange for their data, feedback, and 30 minutes of weekly time. Each partner signed letters of intent with paid deposits of $1,000 to $1,500 - small enough to vanish on a corporate card, but enough to prove real commitment. With three to four active design partners collaborating weekly, Artifact closed its first $100K in ARR and raised a $5M seed round led by Josh Buckley of Buckley Ventures. But scaling this AI SaaS beyond those initial partners proved harder than expected. The team tried bottoms-up self-service, community building, dinner events in San Francisco, and conferences - spending $30K-$40K on events alone before realizing none of these channels attracted the right buyers. The breakthrough came when Nate discovered that outbound SDR-driven outreach to enterprise accounts produced dramatically better retention, higher ACVs, and stronger engagement than any other channel. Going down-market was tempting because smaller companies moved faster, but enterprise customers had 90% higher ACVs and significantly lower churn. Nate's AI SaaS playbook became clear: double down on a structured SDR-to-AE pipeline with commitment-based sales stages, replacing subjective pipeline assessments with concrete customer actions like sending data source lists and authenticating integrations.

The SaaS Podcast

How Narrowing Your Niche Can Reignite Stagnant SaaS Growth

How SaaS Partnerships Took HYCU to 4,000 Customers in 78 Countries

How Partnerships Drove $3M ARR in 9 Months

From VR Failure to 7-Figure Freemium SaaS in a Crowded Market

Stop Creating a New Category and Start Positioning

From $1M ARR to 40% Churn in One Month

From Race Car Driver to Vertical SaaS CEO at 60 Airports

Scaling SaaS Solo: Two Products, No Co-Founder, No Funding

How Founder-Led Sales Built an 8-Figure Spend Management SaaS

3 Years of Pivots Before Finding Product-Market Fit

What AWS Taught This Founder About Usage-Based Pricing

How Picking One Customer Type Drove 8-Figure ARR

How Free Pizza Meetups Became a Community-Led Growth Engine

7 Years to Find Product-Market Fit and Hit $1M ARR

From 25-Minute Cold Emails to 7-Figure Founder-Led Sales

How SaaS Content Marketing Built a 7-Figure Developer Tool

Why SaaS Partnerships Work With Just Hundreds of Customers

116 LinkedIn Conversations That Built an 8-Figure SaaS

Lost 90% of Revenue Then Made Retention the Growth Engine

Why Selling to Startups Stopped Working for This SaaS

5 Years to Find Product-Market Fit Then Revenue Took Off

How This AI SaaS Solved the Cold Start Data Problem

This CEO Still Does 5 Demos a Day - Scaling SaaS

How SaaS Content Marketing Built an 8-Figure Business