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Invest Like the Best

Why Now is the Best Time to Buy Public Software Companies

Guest: Mitchell GreenMarch 24, 2026
Why Now is the Best Time to Buy Public Software Companies

Episode Summary

AI-generated · Mar 2026

AI-generated summary — may contain inaccuracies. Not a substitute for the full episode or professional advice.

Mitchell Green, founder of Lead Edge Capital, details his firm's unique, machine-like approach to investment, emphasizing consistent returns over grand slams in the software sector. Lead Edge has built a reputation as a "giant money machine" (00:00) over 15 years, delivering remarkably consistent returns through a highly disciplined process. Green argues that "now is the best time to buy public software names" (24:59), attributing this to market fear and lower entry multiples, aligning with Warren Buffett's philosophy of buying when others are fearful. This episode provides an inside look at how a differentiated strategy, meticulous process, and unique LP base create a competitive edge in venture and growth equity.

The Lead Edge "machine" is built on several distinctive components, including cold calling 9,000 companies annually (04:06), guided by the "Lead Eight" criteria (05:06) for initial screening. Their LP base, consisting of 800 world-class executives and entrepreneurs, is actively leveraged for deal sourcing, diligence, and post-investment support, enabling a "95% gross dollar retention" (04:06) KPI. Green describes their investment philosophy as hitting "singles and doubles" (10:12)—aiming for 2-5x returns in 3-7 years with a focus on low downside risk, having lost money in only one deal ever (09:11). Key buying criteria include $10M+ in revenue, 25%+ annual growth, 70%+ gross margins, recurring revenue, and capital efficiency (revenues greater than historical cash burn) (17:20).

A crucial aspect of their strategy is disciplined selling, managed by a dedicated disposition committee (11:13) that constantly underwrites "forward IRR" (16:18). This proactive approach led them to sell a significant portion of their Toast investment pre-IPO, realizing a 3x return in 18-24 months because the forward IRR looked less compelling (16:18). Lead Edge also excels in "creative" or "special sit" deals, with 70% of their deployed capital coming from non-traditional paths like buying derivatives of positions (27:33), as exemplified by their investment in Zoom (25:30).

Green shares his perspective on the current tech landscape, expressing excitement for AI's potential to drive "the biggest productivity game of the last 7500 years" (45:53) but also fear that the "AI capex bubble will end badly" (48:19), predicting model commoditization and overspending. He believes incumbent tech giants have a competitive advantage in data for training models (49:58). Internally, Lead Edge evaluates portfolio companies using an "AI readiness score" (46:54) to ensure they adapt. The firm's culture, driven by persistence, intellectual honesty, and Green's personal commitment to conducting annual one-on-one interviews with every employee (37:46), is vital to maintaining its entrepreneurial spirit as it scales.

Listeners will walk away with a profound understanding of a disciplined, process-driven investment strategy that prioritizes consistent returns and client service, alongside a contrarian perspective on current market opportunities and the future impact of AI. The episode offers actionable insights into firm building, investment selection, and the critical importance of a unique competitive advantage in a crowded market.

👤 Who Should Listen

  • Early-stage investors and fund managers looking to build a process-driven investment firm.
  • Entrepreneurs seeking insights into what disciplined capital looks for in growth-stage software companies and how to engage with investors.
  • Limited Partners interested in understanding alternative investment firm structures, client retention strategies, and performance consistency.
  • Technology investors trying to navigate the current market sentiment around software and the AI landscape, including potential bubbles and opportunities.
  • Professionals interested in firm culture, leadership, and scaling a competitive business through unique operational models.
  • Individuals exploring entrepreneurship and the challenges of starting a fund or business from scratch.

🔑 Key Takeaways

  1. 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. 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. 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. 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. 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. 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).
  7. 7.Lead Edge prioritizes a culture of persistence, inquisitiveness, and follow-through, encouraging 22-year-old analysts to meet LPs and making an effort to send handwritten thank-you notes (30:38, 36:44, 38:47).
  8. 8.Approximately 70% of Lead Edge's deployed capital comes from "creative" or "special sit" deals like buying derivatives or early investor/employee secondaries, allowing them access to companies that don't need primary capital (27:33, 25:30).

💡 Key Concepts Explained

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).

⚡ Actionable Takeaways

  • Implement an "eight-point criteria" or similar framework to quickly filter investment opportunities and guide team focus, allowing for rapid "no" decisions on 9,000 potential companies (05:06, 28:34).
  • Prioritize "consistency" over "grand slams" in investment returns, aiming for 2-5x in 3-7 years on a per-deal basis and avoiding zeros to significantly boost overall fund performance (09:11, 11:13).
  • Actively leverage your investor base or network for deal sourcing, diligence, and portfolio company support, as Lead Edge does with its 800 world-class executive LPs (05:58).
  • Establish a "disposition committee" and regularly underwrite "forward IRR" for all portfolio assets to ensure disciplined selling, even for strong performers, to maximize fund returns (11:13, 16:18).
  • Adopt a contrarian investment stance during market downturns, seeking opportunities in "hated" sectors like public software, as Mitchell Green suggests "now is the best time to buy" (24:59).
  • Cultivate a firm culture of "persistence," "inquisitiveness," and "doing what you say you're going to do," as demonstrated by Lead Edge's approach to cold calling and follow-up (02:04, 02:04, 30:38).
  • Conduct annual one-on-one interviews with every employee, as Mitchell Green does, to gather feedback on job satisfaction, identify areas for change, and foster a culture of continuous improvement (37:46).

⏱ Timeline Breakdown

00:00Introduction to Mitchell Green and Lead Edge Capital's "money machine" approach.
01:02Discussion on Lead Edge's "famous list" for evaluating companies, originating from cold calls.
02:04Learning about discipline and responsiveness from 10,000 cold calls.
03:05Describing Lead Edge's "machine" as operating like a software company.
04:06Lead Edge's KPI: 95% gross dollar retention for LPs, driven by returns and client service.
05:06The "Lead Eight" criteria framework for guiding investment decisions.
05:58Leveraging LPs (world-class execs/entrepreneurs) for sourcing, diligence, and post-investment.
07:09The rationale behind Lead Edge's unique LP base to differentiate in a crowded market.
09:11Focus on consistent "doubles and triples" (2-5x returns), low downside risk.
11:13The importance of a "disposition committee" and disciplined selling process.
12:13Average holding period of 3.5 to 4 years and the impact of multiple expansion on returns.
16:18Example of selling Toast stock pre-IPO based on forward IRR underwriting.
17:20Detailed explanation of Lead Edge's "eight buying criteria" for software companies.
19:24Discussion on price paid for companies and the risk of collapsing exit multiples (e.g., AI).
20:25Lead Edge's belief in the incumbent's game in software due to distribution and sales.
24:59Why now is the "best time to buy public software names" due to market fear.
25:30Explanation of "specialist type buys" or "derivatives" (CVs) and the Zoom example.
27:3370% of deployed capital comes from "creative" or "special sit" deals.
28:34How the "Lead Eight" criteria filter 9,000 companies to 900 for diligence.
29:36Why criteria are essential for setting a "strike zone," even if not perfectly predictive of performance.
30:38The art of cold calling and training young people in investigative journalism with sales.
32:40Lead Edge's three and a half billion dollar fund and the challenge of building a scrappy culture.
34:41Excitement derived from helping entrepreneurs and making customer intros.
35:41Lead Edge's approach to control positions and maintaining management continuity.
36:44The importance of culture flowing from the top, including handwritten thank-you notes.
37:46Mitchell's practice of conducting annual one-on-one interviews with every employee.
38:47Empowering young associates to meet LPs and build relationships.
39:48Mitchell Green's time allocation: 60% with LPs, 25-30% investing, 15-20% operations.
41:50Rushmore of respected investment machines: Insight, TA, and Excel KKR.
44:52Mitchell's excitement and fear regarding AI's transformative potential and market bubble.
46:54Lead Edge's "AI readiness score" for portfolio companies.
47:55Lead Edge's competition and the "too much money chasing too few great things" problem.
48:56Mitchell's belief that the "AI capex bubble will end badly" due to commoditization and power demands.
51:00Interesting AI investment areas: infrastructure software, consumption-based models (e.g., ClickHouse, Grafana Labs).
52:00Mitchell's personal drive, persistence, and competitiveness, honed by ski racing.
55:02Advice for aspiring fund entrepreneurs: "just go do it," especially when young.
56:02Why Mitchell still cares: keeping score and a love for what he does.
57:03The kindest thing anyone has ever done for Mitchell (Pete Wilmont, former CEO of FedEx).

💬 Notable Quotes

"If you tell an entrepreneur that you're going to actually do something, then actually do it." [02:04]
"Our number one KPI that we run this place by is what is our gross dollar retention for LPS? We want like 95% gross dollar retention because the only way you can get that is one have good investment returns and great client services." [04:06]
"We're like Cal Ripken doubles doubles and triples. Yeah, we're not Sammy Sosa or like Mark Magguire." [10:12]
"Warren Buffet says, 'Buy when everybody, you know, is fearful and sell when like everybody's super excited, people hate software.'" [24:59]
"AI in the long term will create the biggest productivity game of the last you know 7500 years. Don't know if it'll be like electricity but like it'll be pretty damn close." [45:53]
"I think this AI capex bubble will end badly." [48:19]

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Mitchell Green

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