Mar 28, 2026 · 58m · news
Why Margins Don't Matter for Early-Stage Startups | Gili Raanan · 20VC with Harry Stebbings
gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
In this in-depth interview, legendary cybersecurity investor Gili Raanan joins host Harry Stebbings to dissect the structural flaws of the traditional venture capital model, sharing his contrarian philosophies on seed-stage valuations, growth velocity, and secondary liquidity.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Harry holds 18.7% of the talking time here. How this is scored →
speaking balance: gold is Harry, purple is the guest (3 minute bins)
Gili forcefully rejects Harry's premise that overfunding distracts young founders, dismissing the argument as unnecessary babysitting and refusing to accept the host's concern.
Hardest push from Harry ▶ 8:29 The Boomer Valuation ChallengeHarry directly interrupts Gili to challenge whether he is taking a boomer perspective on valuations, presenting expanded outcome sizes at CrowdStrike and Palo Alto Networks as counterevidence.
Biggest teaching moment ▶ 6:22 Cyber Unicorn Stat QuizGili puts Harry on the spot regarding the actual count of Israeli cybersecurity unicorns in recent years, correcting Harry's overestimate of five down to just one.
Harry holds his own ▶ 32:08 Public Market Multiples DataHarry demonstrates clear domain expertise by citing exact, compressed revenue multiples for Monday.com and Wix to challenge private market valuation assumptions.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Harry as informed peer | Guest teaching | Guest disagreement | Harry pushing back | Why |
|---|---|---|---|---|---|---|
| Is the Venture Capital Model Broken? | 3 | 5 | 2 | 3 | Harry introduces a macro premise questioning if high entry valuations break the venture capital business model. Gili reframes the question by asserting that venture as a whole rarely works and is inherently non-linear across players. | |
| The State of the Cybersecurity Market | 4 | 8 | 3 | 3 | Gili quizzes Harry on the actual number of cybersecurity unicorns created in Israel in recent years. Harry guesses five or six, but Gili corrects him down to one, demonstrating the harsh statistical realities of early-stage outcomes. | |
| The Impact of Mega Funds on Early-Stage Valuation | 7 | 5 | 4 | 8 | Harry interrupts Gili and directly asks if he is being a boomer regarding entry valuations, citing massive expanded outcome sizes at CrowdStrike and Palo Alto Networks. Gili acknowledges the outcome size thesis but holds firm that entry price probabilities cannot be ignored. | |
| Why Early-Stage Investors Must Be Greedy | 5 | 7 | 3 | 5 | Harry questions whether top-tier startup growth is always linear or whether companies naturally zig and zag. Gili counters by detailing exact quarterly ARR metrics from portfolio companies like Wiz and Sierra to prove fast growth becomes embedded DNA. | |
| Market Size vs. Exceptional Product-Market Fit | 5 | 7 | 3 | 5 | Harry emphasizes the critical importance of market depth and notes how many startups hit growth plateaus. Gili uses case studies of No Name and Island to illustrate how venture capital operates as a science of exceptions. | |
| The "Foie Gras" Problem: Capital Concentration & Founder Focus | 6 | 6 | 7 | 7 | Harry presses Gili on the risk of over-capitalizing young founders, arguing that excess money leads to unfocused expansion and poor execution. Gili strongly rejects this framing, stating that worrying about founder focus is equivalent to babysitting. | |
| Why Margins Don't Matter for Early-Stage Startups | 5 | 5 | 3 | 4 | Harry explores how AI inference costs are dragging down gross margins compared to traditional software standards. Gili explains that while gross margins matter long term, he instructs early-stage founders to completely ignore them until later stages. | |
| Exceptional Growth Velocities and the Bar for Greatness | 5 | 6 | 2 | 3 | Harry asks whether fast-growing AI startups have elevated the baseline for acceptable startup growth rates. Gili walks through the compounding math of a 4x-4x-3x-3x new-ARR velocity to show what true greatness looks like. | |
| Deciphering the Public Markets and Multiples Decline | 6 | 3 | 1 | 3 | Harry demonstrates strong market awareness by citing compressed public multiples for companies like Monday.com and Wix. Gili agrees that public markets are baffling and suggests displacement fears may be driving compressed valuations. | |
| IPOs as Marketing Events and the Secondary Market | 5 | 7 | 4 | 4 | Harry asks about extended private cycles and liquidity mechanisms like secondaries. Gili reframes the traditional view of public listings, arguing that an IPO is purely a marketing event rather than a liquidity event. | |
| Regret, Alignment, and GP-LP Relationships | 6 | 6 | 2 | 5 | Harry identifies potential structural misalignments between GPs seeking early DPI and LPs wanting maximum upside. Gili openly admits his regret over selling Wiz shares early to generate return metrics for LPs. | |
| Personal Growth as an Investor and the Toughest Days | 2 | 4 | 1 | 1 | Gili reflects on his career evolution, describing venture capital as a difficult profession where performance feedback takes years to materialise. Harry facilitates an introspective dialogue on personal investor growth. | |
| Advice for the Next Generation of Investors | 6 | 5 | 4 | 5 | Harry references Sequoia's culture of viewing every missed deal as a failure, asking Gili if he hates losing deals. Gili rejects the premise of needing to win every battle, advocating instead for focusing on portfolio delivery. | |
| Building Great Venture Partnerships | 4 | 5 | 1 | 1 | Harry asks for advice on structuring venture partnerships. Gili explains why forcing partners into strict operational guardrails is a mistake, and Harry acknowledges having made that exact error in the past. |