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The Twenty Minute VC

Mike Maples: Three Frameworks to Evaluate Startups and Founders | E1242

Mike Maples is one of the OG seed investors of the last two decades. As a co-founding Partner at Floodgate, Mike has been on the Forbes Midas List eight times in the last decade.

Mike MaplesguestHarry Stebbingshost

Jan 6, 20251h 15mWatch on YouTube ↗

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CHAPTERS

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Chapter summaries

Playing offense: why seed investing must hunt inefficiencies
Mike lays out two core principles that underpin his entire investing approach: get paid for the risk you take, and play offense with capital. He frames venture as a game where success requires finding mispricings and behaving differently than the crowd, not indexing an efficient market.
- •Two rules: risk must be compensated; capital should be deployed offensively
- •You must play the game on the field—but not the way everyone else plays
- •If you can’t find inefficiencies, you shouldn’t be an active seed investor
- •Seed returns depend on identifying where the market is wrong
Is a sub-$100M seed fund viable—and what fund size implies
They debate whether small seed funds can work today, and Mike argues they can—if they’re truly small and writing appropriately sized checks. He explains that fund size effectively dictates strategy and the types of checks and ownership you can pursue.
- •Sub-$100M can work if checks are sub-$100K (often implying ~$10M funds)
- •Large rounds crowd out small checks unless the angel brings unique leverage
- •Fund size determines the game you’re playing and the outcomes you must hit
- •Minimum check size must still ‘move the needle’ for fund economics
Why 'fund size is strategy': power law math and return requirements
Mike breaks down Pareto/power-law dynamics and how they force a small number of deals to drive most outcomes. He uses a simple portfolio example to show why your top deal must return a huge portion of fund profits, making the bar you set (fund size) inseparable from strategy.
- •Pareto is a curve: extreme concentration of returns is structural
- •With ~25 deals, the top deal may drive ~64% of total returns
- •To hit a 5x fund, one winner must deliver a large share of total profit
- •Fund size is like setting the pole-vault bar: miss it and it’s a bad fund
Follow-ons and asymmetric information: pro rata as an offensive weapon
Harry challenges why a seed fund would ‘give up’ follow-ons when it has the most context. Mike argues pro rata is a valuable right and follow-ons can be ‘offense’ when the company is clearly exceptional, but the decision must be deliberate and sized to the fund.
- •Pro rata is a right that others don’t have—sometimes worth exercising
- •Follow-ons can be offensive when you ‘kind of know’ it’s great
- •Constraint: exercising rights can require multi-million follow-on checks
- •Key decision: do zero follow-ons, or reserve a meaningful non-zero amount
A follow-on system: 70/30 reserves, accountability, and ‘indexing’ off top firms
Mike explains Floodgate’s structure: partners focus on first checks while a dedicated partner (Iris) runs follow-ons with clear accountability. He argues many seed follow-ons resemble a form of indexing—often best guided by signals from top Series A firms rather than internal narratives.
- •Floodgate model: ~70% initial checks, ~30% reserves
- •Dedicated follow-on ownership with measurable accountability improves discipline
- •Market signal: elite Series A firms are strong (though not perfect) validators
- •Follow-on returns are often worse than first checks across the industry
Should every check be a fund returner? 100x-first-check thinking and price discipline
They discuss the ‘every deal must return the fund’ meme, and Mike reframes it into target distributions: a few 100x and a modest set of 20x outcomes. He emphasizes underwriting the conditions for 100x on the first check, and that valuation matters because dilution and entry price set required exit size.
- •Seed isn’t complicated: ~5% must be 100x; ~10–15% must be 20x
- •Outcome planning question: “What must be true for 100x on the first check?”
- •Price matters because dilution is real; entry valuation dictates exit needs
- •If you can’t find mispriced opportunities, seed becomes unattractive as a business
Inception rounds in AI: opportunity cost, founder bar, and when ‘expensive’ is justified
Mike applies his 100x framework to large ‘inception rounds’ common in AI. He argues high starting prices only make sense with extraordinary founder quality and a path to massive outcomes, because each slot in a seed portfolio has meaningful opportunity cost.
- •Inception rounds are viable only if the first check can still be 100x
- •Founder quality can justify stretched pricing (e.g., Applied Intuition)
- •High price implies needing multi-billion outcomes (often $5B+)
- •Taking a non-100x shot consumes scarce portfolio ‘shots on goal’
Temperament advantage and pacing: waiting for your pitch in frothy markets
Mike describes how competitive intensity has increased and why temperament now creates edge—especially in boom years like 2021. He uses Buffett’s ‘no called strikes’ idea to explain disciplined pacing: do fewer deals when everything is overpriced, more when it’s underpriced.
- •Temperament advantage: willingness to do nothing when conditions aren’t met
- •Circle of competence guides when to swing vs let pitches pass
- •2009: fear created bargains; 2021: he made only one investment (Hadrian)
- •Market cycles change pace, not standards
Deal terms in practice: common vs preferred, notes, and negotiating blended pricing
They dig into tactical mechanics: buying common, using convertibles to adjust effective price, and rare uncapped notes. Mike argues these tools matter mainly when they meaningfully change ownership or align incentives—not as ideology.
- •Would buy common if it meaningfully increases early ownership
- •Convertibles can enable a blended price when stated valuation is too high
- •Uncapped notes are rare but can make sense with extreme conviction
- •Term structure rarely determines success vs failure compared to company quality
When to sell: seed funds’ edge in exit-price inefficiency and ‘initial liquidity events’
Mike explains how Floodgate sold Lyft shares in 2015 to manage risk, preference stack exposure, and fund-level impact. He argues seed funds can uniquely arbitrage exit pricing because small positions can be sold without signaling, and he introduces the idea of an ‘initial liquidity event’ that economically resembles an IPO for the fund.
- •Lyft: sold meaningful secondary at ~$45B valuation to lock fund-returning outcomes
- •Seed funds can exploit exit-price inefficiency better than multi-stage funds
- •Selling works best when rounds are euphoric and everyone wants in
- •‘Initial liquidity event’ must be large enough to matter like an IPO to fund economics
Being in the money: psychology shifts, 100-bagger rarity, and cooperative selling with founders
They debate whether success reduces fear and changes decision-making. Mike notes the variance in late-stage outcomes, tracks true 100-baggers, and stresses that any selling should be planned early and executed transparently with founder alignment—not opportunistically.
- •Psychology can shift: upside visibility vs downside neglect once ‘in carry’
- •100-baggers are rare; Mike cites ~3–4 personal 100x+ outcomes (Twitter, Lyft, etc.)
- •Selling should be coordinated with founders and designed as a win-win
- •Have a sober, pre-committed framework for when you might sell
Regrets and pattern recognition: learning from missed Airbnb and the three evaluation frameworks
Mike frames biggest failures as ‘failures of imagination’—missing transformative ideas like Airbnb and Datadog. He explains Floodgate’s 100-bagger deep dives and introduces their three core lenses: insight, inflection, and founder–future fit.
- •Regrets are diagnostic: identify what you failed to see rather than self-blame
- •Run time-capsule analyses of iconic winners to isolate early signals
- •Three frameworks: insight, inflection, founder–future fit
- •Quantify outcomes: multiples, time-to-return, and dilution patterns
Founder–future fit defined: ‘living in the future’ as the most reliable early signal
Mike explains founder–future fit using William Gibson’s ‘future isn’t evenly distributed’ idea: great founders experience the future early and build what’s missing. He illustrates with Zoom (Eric Yuan’s Webex background), Okta (Todd McKinnon at Salesforce), and Marc Andreessen building Mosaic before ‘markets’ were obvious.
- •Founder–future fit: founders notice missing pieces because they live in the future
- •Credibility and intrinsic motivation help attract early believers and build right
- •Examples: Okta’s cloud identity insight from Salesforce proximity
- •First-time founders can have fit via future-domain immersion (Andreessen/Mosaic)
Founder assessment realities: optimism bias, disagreeable great founders, and ‘detach with love’
Mike admits his weakness is being too optimistic about who can truly execute, since exceptionalism is rare. He argues likeability is irrelevant—breakthrough startups are provocative and often led by disagreeable people—and describes how he steps back when he can no longer help a founder effectively.
- •Personal weakness: overestimating founders’ ability to ‘pull it off’
- •Likeability isn’t a requirement; disagreeableness often correlates with breakthroughs
- •Great startups ‘disagree with the present’ and the present fights back
- •When misaligned: “detach with love” rather than escalate conflict
Product-market fit debates and growth capital traps: why too much money can break companies
They argue about whether companies can succeed without product-market fit and what PMF even means (Clubhouse as a ‘solar flare’). Mike stresses PMF is the early game, that investors can only help marginally, and that oversized rounds pre-PMF lead to premature hiring, strategic sprawl, and cultural damage—especially in late-stage/growth behavior.
- •PMF must be durable, not a temporary spike in engagement
- •Investor help is limited: focus founders on eliminating distractions to reach PMF
- •Overfunding pre-PMF leads to ‘wacky nonsense,’ broken culture, and weak customer muscle memory
- •Many overcapitalized companies won’t clear their preference stacks
2024 review, 2025 predictions, and quick-fire philosophy: SpaceX, Bitcoin, accountability, and personal values
The conversation closes with a ‘2024 in review’ and predictions: SpaceX as company of the year, Bitcoin’s upside potential, and a push for government accountability mechanisms. In quick-fire, Mike discusses Christianity as philosophy, his father’s lesson on comparative advantage and doing your best, and what he’d change in raising his own kids.
- •2024 picks: SpaceX’s platform dominance in space; Elon as founder of the year
- •2025: Bitcoin potentially building rails/ecosystem and reaching higher prices (Mike: ~130)
- •Government ‘Doge’ and local accountability efforts: funding tied to outcomes
- •Personal philosophy: unconditional love vs boundaries; comparative advantage; more outdoor/sports for kids

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