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Cem Sertoglu: Lessons from the Greatest Venture Investment in European History | E1228

Cem Sertoglu is one of the great venture investors of the last decade. Cem is famed for writing the first check into UiPath and over several rounds turning $16.5M into $2.1BN. Cem recently started Bek Ventures, a $250M fund that was 3x oversubscribed. ----------------------------------------------- Timestamps: (00:00) Intro (00:48) Entry Into Venture World (05:43) How Venture Capital Evolved into a Low-Margin Business (13:41) How Cem Prioritizes Founder, Market, and Traction (18:11) Signalling Does Exist? (20:24) When & How to Address Concerns with a Founder (25:32) Advising Founders on Early-Stage Valuations (27:01) Where Founders and VCs Often Diverge (28:52) Do High Prices Lead to High-Quality Investments? (31:32) Are Richer Investors More Successful? (36:06) Making $2.1BN on UiPath (52:39) Cem’s Biggest Loss (56:41) Concerns Over Current Liquidity Markets (01:00:00) Quick-Fire Round ----------------------------------------------- In Today’s Show with Cem Sertoglu We Discuss: 1. Has Venture Capital Been Commoditised: Why does Cem believe that VC has not been commoditised? Why does Cem believe many VCs today are not even VCs anymore? How does Cem advise founders who have offers from large multi-stage firms? What questions should they ask them pre-working with them? How do the best founders select the VC they choose to work with? 2. Price, Reserves, Loss Ratios: Why does Cem believe that price does not matter? How does Cem approach reserves and reserves management? What does Cem know now about reserves that he wishes he had known when he started investing? Does Cem care about loss ratio? Does he do scenario planning when making investments? 3. Making $2.1BN on UiPath: How did Cem meet Daniel for the first time? Was it obvious he was incredible? Why did they only write a $1M check and not take the whole round with $1.5M? Why did 40 of the best investors in Europe all turn down UiPath for the Series A? What did doing the bridge round for UiPath teach Cem about reserves? When was it obvious UiPath was going to be a mega hit? How did they continue to concentrate capital with each round? When did they first start to sell shares in UiPath? What was their approach to the selldown of their position? When the company IPO’d, how much of it did they have? 4. AMA with One of Europe’s Best: Does signalling exist? How does Cem advise founders on this? What has been his biggest loss? How did that change his mindset? What has been Cem’s biggest miss? What did he not see? Why does Cem always believe you should manufacture arguments with founders before investing? Why does Cem believe a high GP commit can actually misalign the GP and the LP? ----------------------------------------------- Subscribe on Spotify: https://open.spotify.com/show/3j2KMcZTtgTNBKwtZBMHvl?si=85bc9196860e4466 Subscribe on Apple Podcasts: https://podcasts.apple.com/us/podcast/the-twenty-minute-vc-20vc-venture-capital-startup/id958230465 Follow Harry Stebbings on Twitter: https://twitter.com/HarryStebbings Follow Cem Sertoglu on Twitter: https://twitter.com/csertoglu Follow 20VC on Instagram: https://www.instagram.com/20vchq Follow 20VC on TikTok: https://www.tiktok.com/@20vc_tok Visit our Website: https://www.20vc.com Subscribe to our Newsletter: https://www.thetwentyminutevc.com/contact ----------------------------------------------- #20vc #harrystebbings #cemsertoglu #uipath #bekventures #partner

Cem SertogluguestHarry Stebbingshost
Nov 20, 20241h 4mWatch on YouTube ↗

CHAPTERS

  1. 0:00 – 0:54

    Cold open: Turning $16.5M into $2.1B with UiPath (power law in action)

    The episode opens with the headline outcome: a $16.5M total investment that returned $2.1B in proceeds. Cem frames UiPath as an illustration of venture’s power-law reality and how extreme outliers dominate fund returns.

    • UiPath returned $2.1B on $16.5M invested; ~85% of Fund I proceeds came from UiPath
    • Fund I is ~20x MOIC; even excluding UiPath it’s ~2.7x
    • UiPath’s growth cited as ~1M to 100M ARR in ~21 months (at the time, among the fastest ever)
    • Takeaway: discipline matters, but luck and outliers drive outcomes
  2. 0:54 – 6:07

    Founder-to-investor origin story: from a 1999 startup to angel wins in Turkey

    Cem recounts starting SelectMinds in New York in 1999, surviving the crash, then returning to Istanbul. He begins angel investing in Turkish tech and benefits from early large exits that help shape his investing path.

    • Founded SelectMinds (early social networking software) in 1999; endured the dot-com crash
    • Moved back to Istanbul expecting it to be temporary; began meeting local startups
    • Belief that consumer behavior around tech is broadly consistent across countries
    • Early angel exits: Turkish e-commerce acquired by eBay; food delivery acquired by Delivery Hero
  3. 6:07 – 9:08

    Why early-stage VC isn’t a commodity (and how multi-stage funds changed the game)

    Harry challenges whether seed has become commoditized as multi-stage funds crowd in with formulaic offers. Cem argues true early-stage investing is capacity-constrained—time, attention, and judgment don’t scale like capital.

    • Debate: ‘cash is cash’ vs investor differentiation in seed
    • Cem distinguishes early-stage-rooted firms from asset-management-adjacent strategies
    • Benchmark cited as an example of staying disciplined with fund size and concentration
    • Core claim: venture isn’t easily commoditized because it can’t be scaled by ‘just adding money’
  4. 9:08 – 13:44

    Competing on price without losing your soul: when to go head-to-head

    The conversation shifts to competitive seed rounds where founders want high prices and low involvement. Cem explains how he decides whether to compete, how he evaluates “price vs outcome,” and when his firm will walk away.

    • Cem will compete with top brands if there’s founder chemistry and mutual understanding
    • Contradiction held simultaneously: valuation often doesn’t matter for massive winners, but discipline still matters
    • Post-mortems on paying 2x more: many great outcomes would still be great
    • Passing on price: mixed track record; sometimes right, sometimes costly
  5. 13:44 – 15:56

    Founder, market, traction: Cem’s prioritization—and why traction is a distant third

    Harry shares his ‘founder-first’ obsession; Cem largely agrees but adds market sizing and fund-return constraints. They discuss scenario planning for outcomes and why early memos often look laughable in hindsight.

    • Cem’s order: Founder first, Market second, Traction third (especially at seed)
    • Founder risks that kill outcomes: ethics, values, character, inability to partner
    • Market must be big enough to potentially return the fund
    • Scenario planning is useful discipline, but forecasts are often wildly wrong (UiPath far exceeded expectations)
  6. 15:56 – 18:11

    What boutique seed investors really sell: care, attention, and concentrated ownership

    Cem explains his firm’s concentrated model: few checks per partner, low turnover, and high attention per company. They cover board seats, ownership targets, portfolio concentration, and when small ownership can still be worth it.

    • Boutique advantage: capacity and care—each partner writes ~4–5 checks per fund
    • Board seat: preferred when warranted, but not automatic
    • Typical initial ownership target ~10–20%, but flexibility exists
    • Very concentrated funds: Fund I ~15 companies; Fund II ~18 (seed/A focus with selective pre-seed and B joiners)
  7. 18:11 – 20:37

    Signaling is real—and the common seed-to-A failure: scaling before real PMF

    Cem strongly agrees that signaling exists and is visible via follow-on behavior and cap table dynamics. He then outlines why many companies stall: mistaking early signs for product-market fit and scaling go-to-market too early.

    • Signaling exists ‘very strongly’; follow-on decisions are key signals
    • Seed-to-A stall pattern: assuming PMF prematurely and entering hyper-scale mode too soon
    • Growth is fetishized; headcount becomes the easiest ‘growth’ metric
    • Early GTM scaling creates rigid scripts that reduce iteration and adaptability
  8. 20:37 – 25:33

    Boardroom craft: being quiet, picking moments, and handling sensitive feedback

    Cem argues many VCs have lost the skill of being quiet, pressured by the need to show value-add (and amplified by social media). He describes how to raise sensitive issues without blindsiding founders and why preparation beats performative advice.

    • Healthy board dynamics include both group and 1:1 conversations—sensitive topics shouldn’t debut at the board
    • Obsessive board prep, but selective sharing of strong opinions
    • VC temptation: generic aphorisms and narrative advice that ignore company-specific realities
    • The founder typically knows more, works harder, and has more skin in the game—investors should support, not dominate
  9. 25:33 – 28:52

    Valuation guidance and alignment: seed rounds as long-term contracts, not trades

    They discuss practical valuation heuristics and deeper alignment framing. Cem describes early rounds as out-of-the-money options and partnership contracts—misunderstanding this leads to misaligned expectations and bad governance dynamics.

    • Heuristic: raise at a price you can plausibly 2–3x at the next round
    • Early checks are ‘contracts for alignment,’ not short-term trades
    • Biggest founder/VC misalignment often starts with contentious early negotiations and trust damage
    • Efficient fundraising processes are fine—unless they rush diligence and understanding
  10. 28:52 – 36:07

    Hot-market lessons: do high prices mean high quality, and why venture stays uncomfortable

    Harry and Cem unpack 2021-style pricing, category fuzziness (what even is ‘seed’ anymore?), and why being uncomfortable never goes away. The discussion expands into whether wealth changes risk-taking and how LPs should evaluate GP commitment and regional risk.

    • High prices sometimes work, but too much money too early can reduce urgency and make the next round harder
    • Round labels have become meaningless (e.g., massive ‘seed’ rounds at extreme valuations)
    • Venture doesn’t get easier; the hardest hidden truth is how long liquidity takes
    • Richer investors: can cut both ways; high GP commit can create unwanted risk aversion (and LPs may challenge it)
    • Regional VC vs PE framing: venture outcomes are often global, not tied to local macro/politics
  11. 36:07 – 52:39

    The UiPath investment playbook: meeting Daniel, bridging alone, doubling down, and selling down

    Cem details how they met Daniel Dines in Bucharest, what stood out, and the early concerns around go-to-market leadership. He then walks through the seed, bridge/convertible, Accel-led A, the $1B round decision, when to stop following on, and how they managed secondaries and post-IPO exits.

    • Met Daniel in 2014 (company ~12 people); first check in 2015 after months of time with the team
    • Early strengths: technical pragmatism, iteration focus, broad applicability; early concern: enterprise GTM polish
    • Seed round: ~$1.6M total, just under ~$7M pre; heavy initial market skepticism (many funds passed)
    • Bridge/convertible used after widespread passes; later traction flipped sentiment and enabled Accel-led A (~$80M valuation)
    • Follow-on logic: wrote $10M at $1B with ‘hands shaking’; sat out Sequoia’s $3B round; began careful divestment around ~$7B
    • Ownership peaked ~18%, entered IPO slightly under ~10%; used secondaries (often at a premium) and faster post-IPO divestment/distribution-in-kind
  12. 52:39 – 1:04:50

    Losses, follow-ons, and liquidity today: what changes (and what doesn’t)

    Cem explains that their worst realized loss was modest relative to their wins, but highlights the real lesson: follow-on diligence and sizing matter. The episode closes with concerns about liquidity cycles and AI pricing, followed by a quick-fire round on contrarian beliefs, founder advice, and what he wishes founders asked VCs.

    • Biggest realized loss: ~$6M in an HR business hit by regulatory change; lesson: be more rigorous on follow-on data
    • Low loss ratio can be a critique: ‘capped returns’ may crowd out higher-upside risk
    • Liquidity markets: cyclical, but sustained shutdown would matter; vintage is a major predictor of fund outcomes
    • AI: ‘everything in software touches AI,’ but they avoid the foundational-model mega-round game
    • Quick-fire highlights: early-stage investing is alignment, not a trade; founders over-negotiate obscure terms; key question founders should ask is follow-on behavior/data

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