Chad Peets

The sales-comp bubble is real and Anthropic is inflating it. Chris Degnan says CROs are now landing “$100 million-dollar packages” — when Harry floated $15-20M he was told “you’re not even in the ballpark” — and reps are being offered $1.2M in stock against a startup’s $600K on identical $400K cash OTEs. Peets can’t say Anthropic’s offer is wrong, while Degnan says, “I think Anthropic’s a four or five trillion dollar company,” so a rep looking at $6M in four years is hard to talk out of it. But the punchline is that “what sales people are currently being paid today is not sustainable” — when burn matters again, “all of these comp models have to change.”

Never hire from a monopoly. The screen for order-takers vs. real sellers: demand two to three new logos opened in the last 24 months, then ask who the champion and economic buyer were — “if they start faltering, it means they’re lying.” Salesforce and ServiceNow reps are poor pipeline-generation bets: “You could talk to a guy at Salesforce. He’s like, ‘Yeah, I closed Wells Fargo.’ No, you didn’t. Wells Fargo’s been a customer for 10 years.” Hire instead from tier-three brands who won with “an inferior product” — that’s grit — and from orgs that develop people (MongoDB, Wiz), not famous logos.

ARR opacity is the era’s head fake. Founders are lumping monthly on-demand revenue into “ARR” (“my peak day was 10 grand… I’m now at 3.6 million ARR”); with no booked contract “there’s no moat, it’s easy to move” — a competitor ships a better feature and customers quickly switch. Chris Degnan never paid Snowflake sellers until an annual contract was booked, and Degnan dismisses Jason Lemkin’s “multi-year contracts are deferred churn” line: “Is he a VC? That’s probably a typical VC saying.”

Quota-setting is risk selection, not ambition. Set quotas too low and you overpay for a year while blowing through forecast — survivable. Set them too high and “the sales organization quits… you’re going to replace an A player sales org with a B player sales org.” If ramped reps are doing $3-4M, don’t celebrate — “they’re fat and happy” and you’re under-hiring. New standard kit: windfall clauses (Degnan invoked his roughly five times at Snowflake) so a $20M outlier deal doesn’t pay a rep $4M in commission.

The Snowflake confessions are the episode’s spine. “We should have kept hiring. We slowed down… because we optimized to be public, and that was a mistake” — this at the first company they’d ever seen where hiring faster kept raising per-rep productivity. And Degnan on himself: “I made too much money… I got lazy” — managers skipping one-on-ones and forecast calls, a North America lead who hadn’t flown in five weeks. Is success correlated with flights? “Yes. 100%.”

AI changes tooling, not the game. MEDDIC stands (“no pain, no deal; no champion, no deal”), AI prospecting is self-defeating spam (“I get three AI-generated recruiting emails a day… it’s embarrassing” — Peets’s recruiters are banned from sending notes and must call), FDEs are “a glorified professional services person” covering for product gaps, and killing SDRs kills “the future of your sales organization.” What genuinely changes: per-seat pricing is dead, comp must tie partly to consumption, and you now go global day one — Peets’s biggest change of mind in the last 12 months.

The exit market is the unpriced risk. “Public markets are basically dead” for sub-scale names — “$200M or $300M — even a billion is not even interesting” — Thoma Bravo-style take-privates are “less likely,” so tender offers are substituting for IPOs, with CROs now negotiating rights to sell 20% of shares annually. On Databricks going out at $150B against Snowflake’s $55B: “Is somebody going to make the argument to me that Databricks is worth two and a half times Snowflake? Nobody’s making that argument to me.”

🔗 Original source & video: Why Anthropic Are Causing a Comp Crisis & Why You’d Never Hire From Salesforce or ServiceNow

Chad Peets’s hiring bar is unapologetic obsession: he wants salespeople “a little f*ed in the head,” who wake at 3am already thinking about work. The screen is simple — ask “what’s your passion?” and distinguish candidates who use work to fund their passion from those with the work obsession he wants. The right answer sounds like his own: “I want to be the best in the world at what I do… and f*, man, I want to win.”

The key non-negotiable sales skill is landing net new logos. Peets can teach technology and, with proper leadership, how to move from $200K to $2M deals — “I can’t teach you how to have integrity, grit… or how to go close new logos.” If a candidate can’t show net-new-logo track record, “the interview’s over super, super quickly.” Upsells to inherited accounts count for nothing at a startup handing you 50 accounts that have never heard of you. Candidates without prior sales experience are too risky because he needs to know they can sell.

Don’t poach from competitors just for domain: “your competitors likely have a bunch of C players.” Hiring them buys faster ramp today but leaves you with “a bunch of shitty salespeople” nine months out, versus hiring for untrainable talent and having a world-class org in a year.

Founders “hire for tomorrow, not today” — the most common CRO mistake. A leader who has only managed a $500M business knows nothing about building from zero to $500M, “and if you do that, you’ll never get to tomorrow.” Peets says 48 of 50 CEOs he meets probably aren’t right for him; usually by the first or second conversation, he has reviewed their CRO and sales reps on LinkedIn and says, “you’re firing your CRO.”

Model 25% total attrition in scaling sales organizations he’s been part of: fire the bottom 10% minimum, plus promotions and quits; above 30–35% is a problem, but so is too low — “we only had to fire 2%… all you’re telling me is you don’t hold anybody accountable.” Against Harry’s culture-of-fear worry: “it’s the opposite” — unaccountable B players are what make A players quit.

Quota alone is insufficient — someone can hit 130% on one lucky deal and still be someone he wants to fire. Measure new customer meetings, sales-process steps, conversion ratios, and whether reps are in front of customers. And fire fast: “when I f* up, I own my fups and I fix them quickly… Will I fire fast? F yes.”

🔗 Original source & video: The Brutal Truth About Hiring, Firing, and Building World-Class Sales Orgs | Chad Peets

Navan’s IPO anchors mature software at roughly 6–7x NTM revenue when growth settles near 30%. Jason Lemkin framed Navan’s listing alongside Dev Ittycheria’s departure from MongoDB as the end of the SaaS 2.0 era. Navan survived COVID, reached $700 million-plus in revenue growing 32%, and was worth about $6 billion on IPO day before falling toward a $4.8–$4.9 billion market cap. For Jason, the message is brutal: new investments must be “Harvey or better.”

An IPO headline is not cash, and a $4.5 billion exit can still disappoint a large venture fund. Typical lockups last six months, while full distribution may take 18–30 months; Lightspeed’s roughly $257 million position became about $1 billion, but that sub-4x blended return includes early dollars likely up 20x-plus and later dollars potentially underwater. “Locked-in value” 18 months after listing is more meaningful than day-one marks.

Venture’s exit bar has risen while its time-to-liquidity has lengthened. Rory O’Driscoll’s rough model moves a seed journey from eight years and a 20% completion rate to 12 years and perhaps 10%, with IPO readiness now requiring roughly $400–$500 million of revenue. Concentrated funds therefore need believable $10 billion-plus outcomes; investors with more optionality can afford to “turn the next card.”

Harvey’s $8 billion valuation works only if legal AI taps labor budgets, not merely the old software TAM. Reported metrics included $150 million ARR, 98% GRR and a 170% expansion figure; Jason inferred roughly $400 million forward ARR, or 20x. A future $24 billion value at 7x would require about $3 billion of revenue, making task automation and spend per lawyer the decisive underwriting questions.

Founder-friendly fundraising has structurally compressed venture ownership. Chad Peets said his last three investments landed around 6–8% despite believing he needs double-digit stakes in two winners per fund. Harry cited a The Information report using MaC as an example of a 10% ownership outcome versus a customary 20% target, while Chad separately used Benchmark as an example of a premier firm getting only 10%. The inversion is clean: “A founder’s optimized fundraising is a VC’s below-ownership target.”

OpenAI’s financing question is legitimate at both company and macro scale, regardless of Sam Altman’s dismissive response. Against roughly $12 billion of revenue, Brad Gerstner asked how plans requiring about $1.1 trillion could be funded; “sell your shares” supplied no answer. Harry extrapolated that, at a 50% gross margin, cumulative revenue may need to exceed $2.2 trillion, while Chad argued for rigorous board-level guardrails.

Current cloud demand contradicts claims that the AI buildout is already breaking, but leadership has shifted. AWS reaccelerated to 20% growth while Google and Microsoft remained in the mid-to-high 30s; Chad called Google underappreciated and Amazon overappreciated because Google has models, TPUs, Search and applications. Meta’s dilemma is the reverse: a core business growing about 20% is funding roughly $70 billion a year of AI investment without an attached revenue engine.

Incumbent software companies must capture some AI-driven reacceleration or accept mature-company multiples and eventual consolidation. Twilio reached 15% growth as voice-AI usage surged, while MongoDB moved from 13% to 24%; that can mean the difference between 6–7x revenue with a forward story and a 3x private-equity sale. Jason’s changed view is categorical: “Agents are better than mediocre humans,” and Frank Slootman gave the example of a $10,000-a-year agent replacing a $40,000 worker.

🔗 Original source & video: Is a $4.5BN Exit Enough in VC? & Harvey Raises $150M & Why Google is a Buy and Amazon is a Sell