Mar 2, 2022 · 20m · top-founders
How he plans to sell first $2k/mo plan
gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
Alfinder founder Aris Verne joins Nathan Latka to discuss his AI behavioral marketing platform, detailing how he acquired 200 agency beta users, secured $150,000 in pilot revenue, and plans to transition to high-ticket $2k-$5k monthly SaaS pricing.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Nathan holds 38.8% of the talking time here. How this is scored →
speaking balance: gold is Nathan, purple is the guest (3 minute bins)
Aris firmly dismisses Nathan's claim that requiring agencies to cancel existing software creates fatal friction, defending his ambitious vision and revealing enterprise pilot contracts.
Hardest push from Nathan ▶ 17:18 Incredulous pushback on a $20M pre-revenue valuationNathan directly challenges Aris on expecting a $20M valuation pre-revenue, pointing out that having only two public employees contradicts claims of deep proprietary IP.
Biggest teaching moment ▶ 7:44 Explaining LinkedIn Sales Navigator revenue filteringAris clarifies how he targets agencies by filtering specific agency categories by revenue range in Sales Navigator when Nathan doubts that small agency owners can be targeted directly.
Nathan holds their own ▶ 11:17 Exposing the beta retention vs conversion discrepancyNathan uses Aris's own claim that marketing validation takes 3 to 6 months to corner him on why 18-month-old beta cohorts have still not been converted to paying customers.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Nathan as informed peer | Guest teaching | Guest disagreement | Nathan pushing back | Why |
|---|---|---|---|---|---|---|
| Introducing Aris Verne and Alfinder's Core Concept | 4 | 2 | 2 | 4 | Nathan interrupts Aris's initial pitch to point out the confusing branding between 'Alfinder' and 'AI', before steering the rambling bookshelf analogy back onto track. | |
| Defining Target Audience, Pricing, and Initial Funding | 5 | 2 | 3 | 6 | Nathan reins in the conversation to establish firm baseline metrics around pricing, target customers, and whether the company is truly pre-revenue. | |
| LinkedIn Cold Outreach Tactics and Messaging Copy | 6 | 4 | 3 | 7 | Nathan cuts through vague assertions about an 'amazing product' and aggressively interrogates Aris on specific LinkedIn search parameters, filters, and cold outreach copy. | |
| Why Beta Users Have Not Transitioned to Paying | 6 | 2 | 4 | 7 | Nathan challenges Aris's timeline logic, pressing why beta users who joined 18 months ago have not converted to paid accounts if testing only requires 3 to 6 months. | |
| Replacing Agency Tech Stacks and Pilot Contract Revenue | 6 | 4 | 6 | 7 | Nathan argues that replacing an entire agency stack creates too much friction, prompting Aris to push back with a 'go big or go home' mindset and disclose $150k in paid pilot contracts. | |
| Pre-Revenue Valuation, Fundraising, and Offshore Engineering Team | 7 | 2 | 5 | 8 | Nathan scrutinizes Aris's target $20M pre-money valuation for a pre-revenue startup with only two listed LinkedIn employees, questioning where the defensible IP lies. | |
| Launch Timeline and Beta-to-Paid Monetization Strategy | 4 | 1 | 2 | 4 | Nathan transitions through launch pricing expectations and the Famous Five, finishing with a quick quip catching the irony in Aris's advice on connections. |