Jeff Horing - Building Insight Partners - [Invest Like the Best, EP.440]

Episode Summary

Executive Summary: Patrick O’Shaughnessy interviews Insight Partners cofounder Jeff Hoering about how Insight built a software-investing machine through systematic sourcing, a one-fund model, and disciplined but flexible underwriting. Hoering explains why software/math, scale, and AI are reshaping venture, growth, and buyouts—and why Insight’s edge is finding, winning, and supporting deals others miss.

Main Topics: Insight’s origin and software focus (Priority: 5/5): Hoering traces Insight’s start to software specialization, cold-calling, and finding neglected companies outside Silicon Valley. Sourcing as a scalable machine (Priority: 5/5): Insight built a 60-80 person sourcing engine that covers the market, trains juniors, and feeds senior investors. The one-fund strategy (Priority: 5/5): Insight uses one pool across venture, growth, and buyouts to enable small starts, follow-ons, and risk management. How Insight underwrites software (Priority: 5/5): Hoering emphasizes gross retention, CAC, growth acceleration, and time-to-value over vanity metrics like net retention. AI as a TAM accelerator (Priority: 4/5): He argues AI will expand software markets, automate workflows, and accelerate demand rather than replace core apps. Talent, culture, and alumni (Priority: 4/5): Insight’s training model produces a strong internal bench and a large alumni network that reinforces deal flow. Scaling judgment without breaking the model (Priority: 4/5): The firm uses pods, IC ownership, and coaching to scale decision-making while keeping accountability centralized.

Key Arguments: Gross retention and CAC matter more than net retention for predicting software value. The best bets often start small and scale through follow-ons and relationship depth. One fund lets Insight double down on winners and manage risk by check size. AI is more likely to expand TAM than to destroy enterprise software demand. Insight’s edge is sourcing plus support, not just capital or sector branding. Stage is not a strategy; the right deal can be venture, growth, or buyout. A 15-customer reference base can be a key inflection point for hard-to-sell software.

Data Points: Insight AUM: over $100 billion - Patrick describes Insight as one of the world's most successful technology investment firms. Current fund size: $12 billion - Hoering says this is roughly where Insight sits today. Annual deployed capital: $3 plus billion a year - Hoering describes annual investment pace across strategies. Expense automation: 85% of expense reviews - From the Ramp sponsor read at the top of the transcript. Expense review accuracy: 99% accuracy - From the Ramp sponsor read at the top of the transcript. Savings claim: 5% - From the Ramp sponsor read at the top of the transcript. GDR threshold: low 80s - Hoering says low gross retention is rare among top software businesses. Reference-customer inflection: around 15 customers - He says this is a magic number for hard-to-sell software products. Target portfolio return: 30% is kind of a gross number that we target - Hoering discusses blended return expectations across strategies. Early-stage mix: 10% - Approximate allocation he gives for the fund mix. Growth mix: 30% - Approximate allocation he gives for the fund mix. Growth buyout / venture buyout mix: 30% to 40% - Approximate allocation he gives for venture buyouts. LBO mix: 20% - Approximate allocation he gives for the fund mix. Sourcing team size: 60 plus people / 60 to 80 people - He describes the current sourcing platform as a large, dedicated organization. Alumni funds: 16 or 18 funds - He cites how many funds have been started by Insight alumni. Insight alumni partners: 30 plus partners - He says this many partners at other firms are Insight alums.

Pivotal Quotes: "Stage is not a strategy to me." — Jeff Hoering: He explains why Insight spans venture, growth, and buyouts instead of fixing on a single stage. "We find deals, we win deals, we select deals, and we make them work." — Jeff Hoering: He summarizes Insight’s operating model as four repeatable disciplines. "I want to hear the entrepreneur explain how they're generating real value for the customer." — Jeff Hoering: He describes the qualitative lens he uses in first meetings and diligence.

Implications: The unresolved question is how far AI and private-market scale can stretch traditional software underwriting; listeners should watch whether Insight’s middle-market focus keeps outperforming as the category resets.