The SaaS Podcast: Founder Interviews - Page 6

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.

Richard Fenton, Go For No

Why the Best Startup Sales Strategy Is to Hear No More Often

Richard Fenton is a speaker, coach, and co-author of the bestselling book "Go for No!" alongside his wife and business partner Andrea Waltz. His latest book, "When They Say No: The Definitive Guide for Handling Rejection in Sales," builds on that foundation with 41 practical strategies for handling rejection. Richard's path to becoming a startup sales expert started with complete failure. Working for his father - a legendary car salesman who was the number one seller of General Motors product in company history - Richard sat frozen at his desk for 30 days, unable to make a single cold call. Fear of rejection paralyzed him completely. After quitting and moving from Chicago to Los Angeles to escape his father's shadow, Richard took a retail job selling suits. He failed again. That is, until a district manager named Harold asked him a career-changing question after a $1,100 sale: "What did that customer say no to?" The answer was nothing. Richard had been cutting customers off at his own mental spending limit instead of pushing for the next yes. That conversation rewired Richard's approach to startup sales entirely. He stopped treating "no" as the enemy and started treating it as a metric to increase. Within a year, he became an award-winning salesperson. He went on to build a business coaching Fortune 500 companies - including a seven-year pursuit of Discovery Network that finally resulted in a deal. Richard's philosophy applies directly to SaaS founders. Whether you are making outbound calls, running demos, or pitching investors, the fear of hearing "no" causes most founders to undercharge, under-pitch, and leave deals on the table. One of Richard's earliest clients told him to raise his prices because they were so low it raised doubts about his credibility. In this conversation, Richard breaks down why quantity of presentations beats quality when it comes to startup sales, how to use rejection as a diagnostic tool, the concept of becoming an "assistant buyer" to your prospect, and why building long-term relationships through value-driven follow-ups is the fastest path to closing deals.

The SaaS Podcast

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

From Nice to Have to Must Have: Repositioning a SaaS Product

Horizontal Product, Zero Focus, Then 100 Customers in 100 Days

He Waited 10 Years to Launch - Then Grew 400% Year Over Year

How a Weekend Data Analysis Closed an Enterprise Deal

Why Your SaaS Product Design Fails Without Wireframes

How Sitting in Back Offices Built a Vertical SaaS

2 Years of Discovery Before Writing a Line of Code

From 60% Churn to Zero - How Howwe Fixed SaaS Retention

5 Lessons on Finding Product-Market Fit and Scaling

From Services to SaaS by Selling One Customer for 2 Years

70% Close Rate: The 4-Step SaaS Onboarding Call Framework

Scaling SaaS With No Sales Team Using Automation

100 Interviews Before Code: Finding Product-Market Fit

11 Years Bootstrapped Then Funded to Build Enterprise SaaS

Competing with DocuSign by Being 10x Easier to Use

Outbound B2B SaaS Sales That Drove 90% of Revenue

Scaling SaaS With Unit Economics, Not Just Growth

How Grain Found Product-Market Fit After Throwing Away a Year of Code

Why the Best Startup Sales Strategy Is to Hear No More Often