Nov 8, 2023 · 19m · top-founders
How This Founder Plans to use AI to help Remote Sales Team Managers Run Better Teams
gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
Host Nathan Latka interviews Mattermore co-founder Matt Schenker about building an AI co-pilot designed to reduce stress and improve managerial effectiveness for remote SaaS sales teams. The conversation explores Mattermore's behavioral science foundations, technical architecture, customer discovery process, and bootstrapping strategies ahead of its upcoming MVP launch.
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 44.8% of the talking time here. How this is scored →
speaking balance: gold is Nathan, purple is the guest (3 minute bins)
Matt directly rejects Nathan's suggestion that his company should just be a human coaching practice, arguing forcefully that traditional coaching suffers from a fundamental visibility problem.
Hardest push from Nathan ▶ 11:39 Nathan questions AI software necessity over coachingNathan cuts Matt off to challenge why the venture needs AI in the title at all, asking why Matt doesn't simply offer direct remote management consulting.
Biggest teaching moment ▶ 8:24 Matt breaks down automated post-call rubric generationMatt educates Nathan on how they extract call transcripts via APIs and run them through academic rubrics in Claude to deliver manager feedback that executives rarely provide.
Nathan holds their own ▶ 10:11 Nathan challenges LLM data moats and engineering realityNathan demonstrates software industry expertise by pointing out that foundational model wrappers without massive proprietary data cannot win, pressing Matt on his technical team and secret sauce.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Nathan as informed peer | Guest teaching | Guest disagreement | Nathan pushing back | Why |
|---|---|---|---|---|---|---|
| Episode Preview and Background on Mattermore | 4 | 5 | 2 | 4 | Nathan challenges the necessity of an AI solution for sales management by offering his own lightweight 3-person sales process as a counterexample. Matt educates Nathan on sales stress research and the behavioral psychology gaps in manager-rep asynchronous communication. | |
| Probing for Beta Customers and Practical Use Cases | 4 | 1 | 3 | 6 | Nathan presses Matt to bypass marketing buzzwords and name a concrete customer use case or active client. Matt protects client confidentiality and admits the product is early in beta and pre-revenue. | |
| Customer Discovery, Post-Call Reports, and LLM Rubrics | 2 | 6 | 1 | 2 | Matt explains his customer discovery sprints and walks through the technical pipeline connecting call transcripts from Gong or Otter into Claude using academic behavioral rubrics. Nathan listens without challenging the methodology. | |
| Debating Technical Differentiation Versus Traditional Coaching | 6 | 5 | 6 | 8 | Nathan interrupts to challenge Matt on the true technical moat of the product, bluntly suggesting Matt should just be a human coach rather than an AI SaaS platform. Matt rejects the premise, detailing how software solves visibility and continuous data tracking that manual coaching cannot. | |
| MVP Launch Timelines and Bootstrapping Strategies | 6 | 3 | 3 | 7 | Nathan frankly states he is lost on the product value and questions why an MVP would take 6-9 months, pushing Matt on when he will actually charge customers. Matt clarifies the distinction between an immediate 2-week internal pilot and a broader public launch while explaining how consulting funds his personal runway. |