Jake Saper, GP @ Emergence Capital: "We Sold Salesforce Early and Lost Out on Billions"

Jake Saper, GP @ Emergence Capital: "We Sold Salesforce Early and Lost Out on Billions"

The Twenty Minute VCMar 10, 20251h 33m

Jake Saper (guest), Harry Stebbings (host), Narrator

Zoom investment case: thesis-driven sourcing, product-led growth, and early diligenceMarket pull, defensibility, and founder quality as core investment filtersAI’s impact on SaaS: margins, pricing models, agents, and retention riskEmergence’s focused, collaborative partnership model and diligence processFund construction, reserves, bridges, and public-market sell decisionsIncumbents vs startups in the AI era and vertical/domain-specific playsPartnership structure, carry distribution, and retaining talent in venture

In this episode of The Twenty Minute VC, featuring Jake Saper and Harry Stebbings, Jake Saper, GP @ Emergence Capital: "We Sold Salesforce Early and Lost Out on Billions" explores emergence GP Reveals Zoom Playbook, AI Bets, And Venture Discipline Emergence Capital GP Jake Saper walks through how the firm led Zoom’s first institutional round at 100x ARR, why they sold Salesforce too early, and how a highly collaborative, low-volume investing model underpins their returns. He explains Emergence’s “what you have to believe” framework, their obsession with market pull, and why every partner joins diligence and reference calls despite the time cost. The conversation dives into AI’s impact on SaaS economics, defensibility, pricing, and incumbents versus startups, with examples from Together.ai, Bolt, Guru, Mechanical Orchard, and others. Saper also reflects on reserve decisions, bridges and pay-to-plays, partner incentives, and why Emergence grows all partners from within and retires founders’ carry.

Emergence GP Reveals Zoom Playbook, AI Bets, And Venture Discipline

Emergence Capital GP Jake Saper walks through how the firm led Zoom’s first institutional round at 100x ARR, why they sold Salesforce too early, and how a highly collaborative, low-volume investing model underpins their returns. He explains Emergence’s “what you have to believe” framework, their obsession with market pull, and why every partner joins diligence and reference calls despite the time cost. The conversation dives into AI’s impact on SaaS economics, defensibility, pricing, and incumbents versus startups, with examples from Together.ai, Bolt, Guru, Mechanical Orchard, and others. Saper also reflects on reserve decisions, bridges and pay-to-plays, partner incentives, and why Emergence grows all partners from within and retires founders’ carry.

Key Takeaways

Prioritize undeniable market pull over everything else at early stage.

Saper looks for customers who are desperate for a solution—people who say they’d quit if the tool were taken away or would pay out of pocket—before he worries about sophistication of metrics or even founder background.

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Founders must convert AI “hype growth” into defensible workflows and retention.

Many AI apps are seeing extreme top-line growth, but Saper expects average retention cohorts to disappoint; the durable winners will anchor themselves in daily workflows, proprietary data, or domain-specific models that drive >120% net dollar retention.

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Use a clear ‘what you have to believe’ framework for each investment.

Emergence explicitly defines 3–5 deal-specific assumptions needed for a company to return the fund (including dilution, market structure, defensibility, etc. ...

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Deep, multi-partner diligence can bend odds of success, not just pick winners.

Every Emergence partner does customer and reference calls and often on-sites for “priority deals,” creating a shared, first-hand understanding of the business—and, post-investment, a broader bench of partners actually engaged with the company.

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AI won’t eliminate SaaS vendors; it raises the bar for opinionated, maintained products with accountability.

Saper argues that even with tools like Bolt or Cursor, enterprises still need vendors who provide a point of view on the workflow, keep software current, and offer a “throat to choke” and potentially outcomes-based guarantees.

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Venture firms that hoard carry at the top create a ‘merry-go-round’ of partners leaving.

Emergence’s founding partners forfeit carry when they retire, enabling true equal partnership for the next generation and reducing partner churn that often leaves founders with orphaned board members at other firms.

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Public sell decisions are alpha-positive but extremely path dependent.

Excluding Salesforce, Emergence’s analysis shows they’ve generated roughly $2B more for LPs versus selling at IPO lockup, but could have made another $2B by selling at each stock’s absolute peak—highlighting the importance and difficulty of ongoing public position management.

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Notable Quotes

You want people desperate for your product. If your buyer hasn’t tried to hack together a solution themselves, it’s probably a nice-to-have.

Jake Saper

This is the only time in my venture career where the founder didn’t know how good his business was.

Jake Saper (on discovering Zoom’s churn was miscalculated and much better)

Most venture firms create a merry-go-round of partners, and that’s really bad for founders because their companies become orphaned deals.

Jake Saper

The best way to think about SaaS in an AI world is you’re not just buying code; you’re buying an opinionated perspective and a throat to choke.

Jake Saper

The biggest thing I’ve changed my mind on is I was too worried incumbents would capture all the AI value. I underappreciated how powerful focus is.

Jake Saper

Questions Answered in This Episode

How can an early-stage founder realistically test whether they have true market pull versus “mirage product-market fit” driven by temporary hype or discounts?

Emergence Capital GP Jake Saper walks through how the firm led Zoom’s first institutional round at 100x ARR, why they sold Salesforce too early, and how a highly collaborative, low-volume investing model underpins their returns. ...

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In an AI-first world, what are the most convincing strategies you’ve seen for building defensibility beyond access to models—especially for application-layer startups?

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How should founders think about pricing experiments (seat-based, usage-based, outcomes-based) without confusing customers or overcomplicating sales cycles?

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What signals should a founder look for to decide whether to take a bridge round, accept a pay-to-play, or instead wind down and return remaining capital?

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Given how fast AI capabilities are improving, how should both founders and investors adjust their time horizons, hiring plans, and assumptions about what “moats” remain durable?

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Transcript Preview

Jake Saper

(upbeat music) ... dollars in capital. We've returned a little over $8 billion (cash register chime) in cash. We did this analysis on how have our deals fared in terms of, like, certain graduation metrics relative to market. Nine out of ten of our deals have gone on to raise successful follow-on rounds. One out of five have gone on to raise rounds at north of a billion dollars. One out of ten of our early stage investments have gone public.

Harry Stebbings

Ready to go? (upbeat music) Jake, I am so excited for this, dude. I loved our walk around London last night. I actually walked around and I was like, "You know what? James Corden does Carpool Karaoke."

Jake Saper

(laughs)

Harry Stebbings

"I should almost try and do this around London."

Jake Saper

Dude.

Harry Stebbings

It was great.

Jake Saper

I was thinking, this is a PSA for anyone who visits London, you give the most enchanting walking tours of this place.

Harry Stebbings

(laughs)

Jake Saper

Like, some might say romantic. Just, like, incredibly beautiful, such appreciation for the history of this thing, so thank you.

Harry Stebbings

It was when I took you down the prettiest street, and I was just like, "No, this is getting a little bit romantic." (laughs)

Jake Saper

But we were able to talk about my wife in that moment.

Harry Stebbings

Th-th-this is ...

Jake Saper

Which made it feel better.

Harry Stebbings

Exactly. Listen, I loved it because I also got so much context that I wouldn't normally get, even in like, you know, prep calls, which I think are generally bullshit, to be honest. Um, but I wanted to start with Zoom.

Jake Saper

Yeah.

Harry Stebbings

This was your first deal at Emergence, and I just want to start there. Talk to me about Zoom. How did it come to be?

Jake Saper

We aspire to be a thesis-driven firm, and before I even joined Emergence in 2014, in 2013 the firm had developed a thesis around the fact that there was an opportunity to replace Webex. That Webex was a tired product that didn't, wasn't very good. In fact, when I was interviewing at Emergence, the case they gave me to interview at Emergence was for a company called Fuze. Fuze was video conferencing software, an early competitor to Zoom, and I was supposed to diligence that case and then make the recommendation, should or shouldn't invest, and they were gonna hire me based upon that. Did a bunch of work, ultimately concluded we shouldn't invest, made that case. Fortunately, I made the right call, that was also the decision they made and they hired me. Fast-forward a few months, I join the firm, and the very first deal that we're pursuing, where I'm tapped to lead diligence, is Zoom. So, the good news was, we had a prepared mind around the space. We also saw incredible early product-led growth. The company was around two or three million in revenue, it was growing very quickly, but obviously very, very early. And we believed in Eric. Eric was the VP of Eng at Webex before, so knew a lot about the space. And he'd rebuilt the core technology called the Codec, and it worked really, really well. My partner, Santi, who ultimately led the deal, is from Argentina, and he used the product to call his parents, or to call his family back in Argentina, and discovered like, "Hey, this thing works way better than everything else on the market. This Codec is real. We should take this really seriously," and we paired that with the growth, and we were like, "Let's dive in." However, the deal was not straightforward. And the reason the deal was not straightforward is it was going to be the largest check we'd ever written, at amongst the highest prices we'd ever paid, and the company was incredibly early. So, for context, it was gonna be a $20 million check, out of a $250 million fund, which is a lot of concentration.

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