The Twenty Minute VCFigma’s IPO: The Full Breakdown & Why Melio’s $2.5BN Acquisition is “Discouraging”
At a glance
WHAT IT’S REALLY ABOUT
Figma’s IPO, Melio’s sale, and AI’s brutal new venture math
- The episode dissects Figma’s S-1, arguing it’s a rare billion‑dollar ARR, rule‑of‑80 SaaS asset that validates Adobe’s aborted $20B acquisition and will strongly reward early investors like Index. They contrast this with Melio’s $2.5B sale to Xero, seeing it as strategically logical yet discouraging on a revenue multiple basis and a warning about late‑stage valuations and preferences. The conversation then widens into how AI, massive capex, and winner‑take‑most dynamics are reshaping venture: reserves, down rounds, PE exits, roll‑ups, founder secondaries, and why being “AI native” (or at least AI‑relevant by mid‑2024) is now existential. They close on the surge of CEO turnover, mega‑funds like Menlo’s, the hollowing out of mid‑tier outcomes, and examples like Oracle and Vlex showing who is actually making the AI transition versus who is getting left behind.
IDEAS WORTH REMEMBERING
5 ideasFigma is a once‑in‑a‑cycle SaaS IPO that retroactively justifies Adobe’s ‘overpriced’ bid.
With ~$821M revenue, ~46% growth, strong free cash flow, and rule‑of‑80 performance, Figma could list near or above the prior $20B Adobe deal, validating Scott Belsky’s push to buy it and showing how high-quality, scaled SaaS can still command premium multiples.
Melio’s $2.5B exit looks strategic but is worrying as a benchmark multiple.
At roughly $150–200M ARR and triple‑digit historical growth, selling for ~13–15x revenue is not a blowout in today’s AI‑inflated world; it highlights how crowded, slower‑growth fintech categories and heavy pref stacks compress returns and challenge assumptions about $1–3B ‘mid-tier’ outcomes.
Reserves and down‑round ‘rescues’ rarely create home runs; time is the real opportunity cost.
They argue follow‑ons disproportionately go to fastest growers, but ex‑post many expected fund‑returners aren’t; pay‑to‑plays and messy down situations generally cap upside at modest multiples while consuming huge partner time that could be better spent on new winners.
AI is driving an extreme winner‑take‑most regime—both in startups and in venture funds.
LPs understand the math: jumbo funds now require multiple multi‑billion‑dollar outcomes, and capital is concentrating into a tiny set of AI leaders (Anthropic, Cursor, etc.), making missing those deals far more damaging than overpaying at seed or Series A to get in.
Being AI-native—or at least AI‑relevant by mid‑2024—is increasingly a survival threshold.
Their heuristic: if your product and growth haven’t materially improved from AI by now, you’ve effectively failed; examples like Intercom, Airtable, Vlex, and even Oracle show legacy players can adapt quickly, but many SaaS companies are already past their window.
WORDS WORTH SAVING
5 quotesIf you haven’t grown because of AI, you’ve failed.
— Jason Lemkin
If Oracle can get AI native by June 30th and your startup can’t, I mean, I’ll smile, but I’d give up.
— Jason Lemkin
Everything goes back in life to incentives… if your board member can’t speak to the money anymore, they’re basically useless.
— Rory O’Driscoll
The late‑stage business is a lovely rigged game: if you always get a 1x on your losers and have enough winners, by definition you have a positive IRR.
— Rory O’Driscoll
Pessimists sound smart and optimists make money.
— Rory O’Driscoll
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