The Twenty Minute VCJason Lemkin & Rick Zullo: How "Mark to Market" Corrupted Venture Capital | E1052
CHAPTERS
The “Jerry Maguire” moment: moving venture back to founder-first relationships
Rick frames the episode with a call for venture to have a “Jerry Maguire” reckoning: fewer clients, more hands-on work, less factory-model scaling. The group contrasts venture as a craft with venture as an asset-management machine driven by fees and fundraising incentives.
- •Jerry Maguire as a metaphor for shedding scale-at-all-costs behavior
- •Shift from board/founder intimacy to a factory model
- •Why asset management (fees) can be more attractive than true venture outcomes (carry)
- •Rick’s motivation: fewer companies, deeper work, needle-moving outcomes for founders
Why unicorn hunting breaks in mega funds (and why $1B outcomes become “asterisks”)
Jason argues that for large funds, billion-dollar outcomes barely matter—forcing firms to chase $10B+ outcomes. The chapter digs into how fund size changes what “success” means and why early-stage mega-fund math can become structurally misaligned.
- •Historical aspiration: $100B+ outcomes per fund (Founders Fund anecdote)
- •For big funds, $1B outcomes don’t move the needle
- •Mega funds implicitly require decacorns to work
- •Tension between early-stage uncertainty and late-stage ability to ‘back up the truck’
What happens to mega funds next: reflation, IPO liquidity, and ‘strategy splintering’
Harry presses on whether the mega-fund era is sustainable; Jason predicts mega funds return as liquidity reopens. Rick expects venture to further professionalize into multi-strategy asset management, with dedicated teams and products to make the math work.
- •Jason’s view: mega funds reflate in 2024–2025 as liquidity returns
- •Why LP pullbacks are cyclical and likely temporary
- •Venture firms evolving into multi-strategy asset managers
- •Splintered strategies as a way to match fund size to return profiles
Founders, runway, and the cardinal rule: ‘don’t run out of money’
Jason challenges founders to treat large raises as a runway gift rather than a spending mandate. Harry counters that capital invites speed and experimentation; the discussion lands on how abundant capital and social proof pushed teams to burn without discipline.
- •Jason’s blunt rule: a founder’s job is not to run out of money
- •The ‘put 80% aside’ idea vs real-world behavior
- •Speed mindset: hiring, product expansion, multi-region marketing
- •Cultural assumption of abundant capital drives overspend
RIFs, accountability, and why boards stopped pushing back
Jason argues SaaS CEOs shouldn’t need layoffs if they plan properly; Rick counters that investors see more data points and sometimes view RIFs as productive right-sizing. They converge on a core issue: boards became conflict-averse due to reference/NPS dynamics and fundraising incentives.
- •Jason’s stance: RIFs in B2B SaaS signal planning failure (with limited exceptions)
- •Investors’ broader sample size can normalize tough actions
- •‘Cut the shit’: reintroducing honest friction and pushback
- •Founder reference culture and constant fundraising created board passivity
Control, cap tables, and the coming wave of busts (more than bridges)
They debate how ownership should translate into influence—and how that link has weakened. Looking forward, they expect many mid-tier companies to simply fail rather than get bridged, especially if they’re not ‘hot’ (e.g., AI), forcing harder governance and earlier intervention.
- •Cap table vs control: founders often treat dilution as ‘0% say’ for VCs
- •Board power depends on founder opt-in and formal voting control
- •Prediction: more busts than down rounds/bridges for the ‘messy middle’
- •Mega-fund incentives can reduce focus on loss management and salvage value
Efficiency era: public-market profitability pressure reshapes startup expectations
Jason highlights a real-time experiment: public SaaS companies rapidly expanded margins when forced, proving efficiency is possible at scale. The open question: will markets keep demanding discipline, limiting tolerance for high burn, and pushing founders toward financial literacy and durable business models.
- •Public SaaS margin turnarounds (e.g., monday.com, Toast) happened fast
- •If scale can be efficient, burning indefinitely becomes harder to justify
- •Founders often miss how dramatically public expectations changed
- •Business model quality and free cash flow matter more than multiple-chasing
Mark-to-market and paper markups: how valuation games ‘corrupted’ incentives
Jason argues that paper markups changed venture behavior end-to-end: overfunding, inflated rounds, and addictive early IRR narratives that weren’t durable. He adds that some LP organizations also rewarded paper gains, amplifying the cycle and distorting both GP and founder decision-making.
- •Large markdowns can be ‘directionally correct’ when comps reset
- •Counterfactual: venture might be healthier with no markups (or conservative option pricing)
- •Markups incentivized overfunding and too-high valuations to raise the next fund
- •Even some LP compensation structures tied to paper performance
LP trust, transparency, and the salesmanship epidemic across the stack
Rick and Jason describe a market over-optimized for pitch and persuasion—founders selling VCs, GPs selling LPs—often at the expense of substance. They discuss how LP trust varies by manager, why anchors are relationship-driven, and how sandbagging and transparency can rebuild credibility.
- •LP confusion: wildly different book values for the same company
- •Anchors rely on trust; the rest of LP relationships can be transactional
- •‘Overselling’ rose during easy fundraising; now it’s snapping back
- •Preference for underpromise/overdeliver and process transparency
Pitch vs substance: fundraising skill, gamification, and how investors evaluate founders
The group debates whether pitching is essential or overrated: Harry and Jason stress that founders must sell customers, talent, and capital; Rick warns that pitch polish can be gamed and may not correlate with building ability. They compare structured emails, no-pitch meetings, and the risk of missing great but unpolished founders (e.g., monday.com).
- •Jason likes crisp, structured outreach; Rick calls pitching ‘bullshit’ as a filter
- •Great companies can start with terrible pitches; investors can miss them
- •Harry reframes pitching as clarity, including articulating risks
- •Rick’s method: skip the pitch and pressure-test 4–5 conviction questions
Dealflow strategy and time allocation: meeting volume, funnels, and ‘bad NPS’ from small checks
They unpack practical investing mechanics: how many meetings a week are feasible, what work quality looks like, and why small allocations can create disproportionate founder expectations. Harry explains moving from collaborative to competitive phases, while Rick describes an outsider strategy of leading rounds and taking board seats.
- •Reality check: you can’t do deep work for 50 founder meetings a week
- •Harry: 3 new founder meetings/week; funnel support from a partner doing many more
- •Small checks can create ‘bad NPS’ because expectations exceed contribution
- •Different models: collaborative syndication vs outsider-led rounds with boards
The heuristic VCs forgot: ‘Can this 3X next round?’ and stairstepping to big outcomes
Jason resurrects a simple discipline: invest (or raise) only when you believe the next financing can be a ~3X step-up, which forces valuation sensitivity and focus. They connect this to a broader lesson: the biggest outcomes are often underestimated, and ‘stairstepping’ can still lead to unicorn-plus results without forcing decacorn narratives at seed.
- •3X-to-next-round as an ‘atomic unit’ for decision-making
- •Stairstepping vs ‘swinging for the fences’ from day one
- •Founders should use the 3X test to decline overpriced rounds
- •Avoid forcing non-decacorns into decacorn paths that waste capital
Quick-fire: hidden risks, seed-to-A failure mode, thesis mistakes, and the AI capital bet
In rapid Q&A, Rick flags a board-construction risk: ‘zombie’ multi-stage investors may not be around in 3–5 years. Jason cites the most common seed-to-A failure as good-but-not-great growth, while Rick names over-rigidity to thesis as his biggest mistake; they close with a bet that AI dollars deployed will rise sharply (likely 2X).
- •Trend risk: turnover of mid-level investors at multi-stage funds affects boards
- •Seed→A failure: insufficient growth rate (good vs great is subtle but decisive)
- •Rick’s mistake: missing great companies by being too thesis-constrained
- •Bet: AI dollars deployed increase (consensus leaning toward 2X), likely concentrated in a few giants
