Topic Guide
What Is Software investing?
Software investing is a subject covered in depth across 1 podcast episode in our database. Below you'll find key concepts, expert insights, and the top episodes to listen to — all distilled from hours of conversation by leading experts.
Key Concepts in Software investing
Lead eight criteria
A framework of eight specific financial and operational metrics (e.g., $10M+ revenue, 25%+ growth, 70%+ gross margins, capital efficiency) used by Lead Edge Capital to rapidly assess and qualify potential software company investments. It's crucial for filtering 9,000 initial companies down to a manageable 900 for deeper diligence, ensuring efficient use of time and alignment with their "strike zone" (05:06, 17:20, 28:34).
Forward irr underwriting
Lead Edge Capital's continuous process of evaluating the prospective Internal Rate of Return (IRR) from a current investment, influencing their decision to hold or sell assets. This rigorous discipline, applied even to high-performing companies like Toast, ensures they optimize fund returns by selling when future returns look less compelling, even if the company is still strong (16:18).
Ai readiness score
An internal metric used by Lead Edge Capital to assess its portfolio companies' preparedness and strategic alignment with AI. The score considers factors like data structure, new AI product releases, and AI-driven revenues, serving to connect entrepreneurs and identify areas for innovation and disruption prevention (46:54).
What Experts Say About Software investing
- 1.Lead Edge Capital employs a "machine-like" investment process, focusing on consistent returns ("singles and doubles") rather than high-risk "grand slams" to achieve their target of 2-5x returns in 3-7 years on a per-deal basis (00:00, 10:12, 09:11).
- 2.Their unique LP base, comprising 800 world-class executives and entrepreneurs, is actively leveraged for deal sourcing, diligence, and post-investment support, contributing to their 95% gross dollar retention KPI (05:58, 08:35).
- 3.Lead Edge's "Lead Eight" criteria, including $10M+ revenue, 25%+ growth, 70%+ gross margins, and capital efficiency, guide their investment selection from 9,000 initial companies to a manageable pool (05:06, 17:20, 28:34).
- 4.Disciplined selling is as crucial as buying, with Lead Edge's disposition committee constantly underwriting "forward IRR" and executing secondary sales, even on high-performing assets like Toast, to optimize fund returns (11:13, 16:18).
- 5.The current market presents "the best risk-adjusted returns" in public software names, as the sector is "hated" and entry multiples are lower, aligning with Warren Buffett's "buy when fearful" philosophy (24:59).
- 6.Mitchell Green predicts the "AI capex bubble will end badly," believing models will commoditize and incumbent tech giants have a competitive data advantage, but acknowledges AI's long-term potential for productivity gains and new industries (48:19, 49:58, 45:53).