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founderpath.com · newsletter
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Happy Friday.
668 CEO's are joining me next Monday to mastermind how to build an AI-proof SaaS.
>>RSVP here to save your spot
I want to walk you through 3 more AI-proof SaaS companies:
$25M From $1.50 AI Phone Calls
...growing one customer from $50K to over $1M per year by making AI do the work and charging per outcome
Screenshot 2026-04-08 at 2.07.11 PM
Turn AI Into Your Pricing Model: Flip charges $1.50 per resolved AI call with zero setup cost. AI is not the threat here. AI is the product. Every reason for the customer to say no is gone.
Route Calls Through the Cheapest AI Model: Multiple AI models compete to handle each call at the lowest cost. 75%+ gross margins because Flip treats AI as a commodity input, not a feature to fear.
AI Opens New Verticals Faster: Transportation 2018. Retail 2021. Healthcare 2024. AI handles the workflows so the same platform expands to new industries without rebuilding.
>> Learn how Flip turned AI from a threat into a $25M revenue engine
Now let's talk about the data side.
Here's an example:
244M Records No AI Can Access
...loaded 5 billion records, deduped to 244 million, then built Pulse AI on a dataset no competitor can match, hitting $14.4M in revenue
Screenshot 2026-04-08 at 2.06.55 PM
Collect the Data Before AI Makes It Urgent: 5 billion records loaded, 244 million deduped. Data grows with every call and dealership. A competitor could build the AI dialer in a month but not the dataset. That took years.
Build AI Only You Can Build: Pulse AI runs on 244 million proprietary records. The playbook is simple. Collect the data first, then build the AI on it. Anyone else's AI is missing the most important ingredient.
Bootstrap So AI Pressure Cannot Force a Bad Exit: 85% family ownership. 16% margins. Strong enough to say no to a $70M offer and keep building. When AI reshapes your market, you need the leverage to move on your own timeline.
>> Learn how Volie built a data moat that makes their AI unbeatable
Now, the same playbook, but different vertical:
11M Data Points AI Cannot Clone
...Lawmatics collected 11 million intakes across 2,000 law firms over 7 years before writing a single line of AI, hitting $12.6M in revenue.
Screenshot 2026-04-08 at 2.06.17 PM
Collect the Data AI Startups Cannot Shortcut: 7 years of intakes across 2,000 law firms. 11 million data points. An AI competitor could build the CRM in a week but they cannot build this dataset. That is the moat.
Price the AI Intelligence, Not the Dashboard: Early customers pay $60. New customers pay $400+. Same product, but 7 years of accumulated intelligence changes the value. When AI commoditizes the UI, you charge for the data underneath it.
Build Agentic AI That Only Works With Your Data: Qualify AI scores leads, explains its reasoning, and takes feedback. All built on 11 million intakes no competitor has. This is AI that cannot be copied because the training data cannot be copied.
>> Learn how Lawmatics built AI no competitor can replicate
Be sure to RSVP if you want the slide deck and replay.
Nathan Latka
CEO, Founderpath
P.S. Last time I sent an email, we were at 408 CEO's. Now 668. Zoom limits seats at 250. Be there early!
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Founderpath, 815A Brazos Street, , Austin,TX,78701,USA,(210) 718-8920
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