Venture/Fund Operating Doctrine: Return Targets, Sell Discipline, Fund Size Math
Sources: 1 • Confidence: Medium • Updated: 2026-03-08 21:25
Key takeaways
- Mitchell Green claims selling is the core job of investing and requires constantly re-underwriting positions rather than relying on the original thesis.
- Mitchell Green says liquidity windows open and close and fund managers should proactively sell portions of positions when windows are open to return capital to LPs.
- Mitchell Green disputes the aphorism that investors 'never make money with a good deal' and argues many bought great companies in 2020–2021 at bad prices and did not make money.
- Mitchell Green claims highly levered incumbents are most vulnerable to disruption because debt burdens reduce the cash flow needed to innovate through technology shifts.
- Lead Edge is currently buying public software stocks including Procore, Workday, Appian, and is adding back to Toast.
Sections
Venture/Fund Operating Doctrine: Return Targets, Sell Discipline, Fund Size Math
- Mitchell Green claims selling is the core job of investing and requires constantly re-underwriting positions rather than relying on the original thesis.
- Mitchell Green describes a sell/hold decision rule as assessing the probability that the current valuation can double from the current price given fundamentals and risk.
- Mitchell Green says Lead Edge uses an 'in the money in 18 months' heuristic, targeting being above cost within about 18 months at a reasonable multiple rather than relying on extreme revenue multiples.
- Mitchell Green says Lead Edge targets 2–5x outcomes over 3–7 years and avoids a strategy built on frequent zeros or 20x+ outcomes.
- Mitchell Green says Lead Edge targets 2–5x returns over 3–7 years and frames this as roughly a 25% IRR path that can produce about 2.0–2.5x net fund multiples when aggregated in a fund.
- Mitchell Green claims venture fund sizes like $10–15B create difficult return math because making strong returns increasingly requires exposure to extremely large outcomes (hundreds of billions in value) that are rare.
Venture Liquidity Regime Shift: Dpi Priority And Secondaries As A Pressure Valve
- Mitchell Green says liquidity windows open and close and fund managers should proactively sell portions of positions when windows are open to return capital to LPs.
- Mitchell Green asserts LPs are now highly focused on DPI and views returning money as central to staying in business as a fund manager.
- Mitchell Green says the secondary market is currently exploding and that Lead Edge recently deployed $200M in a special situations deal that was quickly marked up by a new round at roughly double the price.
- Mitchell Green claims meme-like volatility in public markets worsens the private-market liquidity problem and expects change only when LPs refuse to commit to new mega-funds until liquidity is delivered.
- Mitchell Green predicts a liquidity-driven opportunity set in secondaries if markets turn down because LPs and older funds with poor DPI may sell interests cheaply.
- Mitchell Green predicts there will probably be less money in venture in coming years as the system recognizes long-held illiquid positions and weak realized returns.
Valuation Realism: Dilution, Buybacks, And Retention As Underwriting Anchors
- Mitchell Green disputes the aphorism that investors 'never make money with a good deal' and argues many bought great companies in 2020–2021 at bad prices and did not make money.
- Mitchell Green claims gross dollar retention is the most important metric in tech and uses about 90% as a minimum threshold, with 95% as great and 98% as amazing, because low gross retention creates 'living dead' companies.
- Mitchell Green claims stock-based compensation is a major hidden drag on true valuation because shareholder dilution can keep many tech stocks from being genuinely cheap despite price declines.
- Mitchell Green claims companies that consistently buy back substantial stock signal higher quality and discipline than those that do not, especially when dilution is high.
- Mitchell Green claims a good company and a good investment are different, and returns come from the intersection of business quality and entry price.
Incumbent Resilience Depends On Moats And Capital Structure
- Mitchell Green claims highly levered incumbents are most vulnerable to disruption because debt burdens reduce the cash flow needed to innovate through technology shifts.
- Mitchell Green claims AI will not make most legacy software companies redundant and cites the continued size of mainframe markets decades after introduction as an analogy.
- Mitchell Green claims large software incumbents are unlikely to disappear because distribution, proprietary data, and strong balance sheets create durable moats despite AI disruption.
- An unnamed speaker claims non-founder-led companies are often disadvantaged during major technological transitions unless the CEO has a strong growth mindset.
Software Selloff Framed As Expectations Reset (Not Obsolescence)
- Lead Edge is currently buying public software stocks including Procore, Workday, Appian, and is adding back to Toast.
- Mitchell Green claims the recent selloff in software is driven largely by overly optimistic Wall Street growth estimates that must be revised downward before software stocks can recover.
- Mitchell Green predicts software stocks may be dead money until estimates are cut enough for companies to start beating and raising guidance.
Watchlist
- Mitchell Green says a key open question for leading LLM companies is whether they can ultimately generate durable real profits.
- Mitchell Green predicts local political backlash against data centers will likely grow, increasing the chance of regulation due to higher power prices, environmental concerns, and limited long-term job creation.
- Mitchell Green says liquidity windows open and close and fund managers should proactively sell portions of positions when windows are open to return capital to LPs.
Unknowns
- Are downward revisions to Wall Street software growth estimates the primary driver of the software selloff, versus fundamental weakness in end-market demand or competitive dynamics?
- How broad is the 'exploding' secondary-market condition (pricing, discounts, volumes), and what are the typical terms of the special situations transactions being referenced?
- Do gross dollar retention thresholds (e.g., 90% minimum) predict long-run outcomes in the way asserted, and how frequently do companies with lower gross retention still produce strong outcomes?
- What is the realized magnitude of SBC-driven dilution across the relevant public software cohort, and to what extent do buybacks offset it in practice?
- Can leading LLM companies generate durable profits after compute/inference costs, and what pricing power and operating leverage are achievable?