Mitchell Green - Lessons from Cold Calling 10,000 Companies - [Invest Like the Best, EP.464]

What It Covers

Mitchell Green, founder of LeadEdge Capital, details the systematic investment machine he built over 15 years with partners Brian and Nima — covering their 9,000 annual cold calls, eight-point company criteria, LP network of 800 executives, and disciplined focus on 2–2.25x net returns across 20-position funds.

Key Questions Answered

• •LP Network as Competitive Moat: LeadEdge's 800 LPs are 95% senior executives and entrepreneurs — not institutions — deployed across the full investment cycle: sourcing introductions, diligence back-channels, and post-investment customer referrals. This structure costs more time than managing 20 institutional LPs but creates differentiation that justifies deal access in a crowded market.
• •Cold Calling at Scale: Eighteen junior analysts contact roughly 9,000 companies annually, filtering down to 900 that meet five or more of eight criteria, then 150–175 for diligence, yielding five to seven investments per year. CEO responsiveness during cold outreach serves as a direct signal of management quality — more responsive CEOs correlate with better operators.
• •Eight Criteria, Five Required: LeadEdge's framework requires $10M+ revenue, 25%+ growth, 70%+ gross margins, recurring revenue, capital efficiency (revenues exceeding cumulative cash burn), no bottom-line losses, and no customer concentration. Deals must meet at least five criteria to advance. Notably, eight-criteria deals show no statistically better returns than five-criteria deals — the framework filters deal volume, not outcome quality.
• •Selling Discipline via Disposition Committee: Three founding partners meet one to two times monthly specifically to evaluate exits, tracking forward IRR rather than holding for maximum upside. Roughly one-third of exits are secondaries. Toast exemplifies this: LeadEdge sold $180M in secondary before IPO at $40–50/share; the stock currently trades near $30, validating the forward-underwriting discipline over narrative-driven holding.
• •AI Readiness Scoring for Portfolio Companies: LeadEdge scores each portfolio company on AI readiness across four dimensions: data structure quality, product iteration velocity, number of new AI-driven product releases, and AI-attributable revenue. Rather than cutting engineering headcount as AI improves productivity, Green advocates maintaining headcount so engineers produce more products for sales teams to monetize.