The $30M app that lets you invest like a politician

What It Covers

Sean and Sam host three Hampton community entrepreneurs in New York: Alex runs a 40-publication real estate magazine network generating $10M revenue, Josh acquires family-owned campgrounds with 16 properties doing $20M revenue, and Brian built Autopilot, a copy-trading platform managing $1.8B in assets with $30M annual revenue by tracking politician and hedge fund stock disclosures.

Key Questions Answered

• •Customer Retention Over Acquisition: Haven Lifestyles works with 10,000+ real estate agents annually but loses most after one campaign cycle. The faster path to doubling profit from $2.5M to $5M is improving retention rather than finding new clients. Preselling annual packages at a discount — currently 1,500 agents on auto-debit — and calling the top 100 spenders personally to understand drop-off reasons can unlock significant margin expansion without adding top-line revenue.
• •Tiered Relationship Scoring: When scaling a client-dependent business, categorize top customers into four tiers: Tier 1 texts you back favors, Tier 2 exchanges emails warmly, Tier 3 is purely transactional, Tier 4 is weaker. Auditing your top 100 clients against this framework reveals relationship gaps. Most founders discover they have zero Tier 1 relationships, which serves as a concrete wake-up call to prioritize high-value account management before chasing new revenue.
• •Campground Acquisition Model: Team Outsider buys family-owned campgrounds from retiring operators at roughly 6x NOI, using 80%+ SBA financing. The first acquisition cost $3M on $500K revenue and $150K cash flow. After professionalizing operations — digital reservations, paid ads, Google reviews — NOI doubled to $300K, enabling a cash-out refinance that funded the next acquisition. Sixteen properties across 10 states now generate $20M revenue with north of $100M total portfolio value.
• •Manufactured Supply-Side for Marketplaces: Autopilot solved the chicken-and-egg marketplace problem by manufacturing supply using publicly available data — congressional stock disclosures and hedge fund 13F filings — to build the Nancy Pelosi and other politician trackers. This created organic viral demand before any real pilots existed on the platform. The Pelosi tracker drove enough attention to build a 6,000-person waitlist of portfolio managers wanting to launch on the platform and charge subscribers $100–$500 annually.
• •Copy-Trading Economics at Scale: Autopilot's top pilots earn $1–2M annually in subscription revenue alone, separate from their own investment returns. Peter Wolf, with $220M following his model portfolio on the platform, built that following faster than Bill Ackman raised his first $60M. The platform takes a revenue share on subscriptions, operates at roughly $1M revenue per employee across 30–35 staff, runs at a $70M ARR run rate, and targets $100M recurring revenue by March of the following year.
• •Recruiting Discipline at Growth Stage: Founders hiring for unfamiliar roles should write hyper-specific job specs rather than outsourcing to ChatGPT or recruiters, which produces generic candidates. Two high-yield talent pools exist: people who solved the exact same problem at a comparable company stage, and unproven high-ceiling candidates. Spending 20–30% of weekly time on recruiting — roughly one full day — is the threshold where scaling founders operate. Using a trusted outside interviewer to evaluate finalists also accelerates the founder's own interviewing skill development.