Andrew Ziperski
@andrewziperski
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“Services” was a dirty word in venture until 5 minutes ago. Now, it feels like every VC firm has a thesis for why they’re investable in the era of LLMs. This is both exciting (because I think this view is correct) and amusing (because it became consensus overnight, like
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One oddity downstream of market participants not understanding the cost of capital is the voodoo around customer LTVs and CAC payback periods. You’ve probably heard that companies should have an LTV:CAC of at least 3x, or that the “benchmarks” indicate “best-in-class” companies
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Certain things that “just don’t make sense” (like many of the late-stage fundraises) are downstream of Silicon Valley’s “foie gras” problem: the set of perverse incentives, shared across many market participants, to stuff great companies with far more equity than they can
This is less a commentary on Harvey and more a commentary on the general phenomenon of best-in-class growth companies raising successive rounds at higher and higher valuations: most of these financings make no sense. Growth equity capital is very expensive. “Dilution is low” is
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This is less a commentary on Harvey and more a commentary on the general phenomenon of best-in-class growth companies raising successive rounds at higher and higher valuations: most of these financings make no sense. Growth equity capital is very expensive. “Dilution is low” is
Private markets are the new public markets. It's notable that in many of these rounds, companies are only selling 2-3%, and it's likely secondary. These rounds aren't really fundraising," they are valuation signaling and liquidity. Deep pools of private capital are desperate
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This is a story of why flows are often a bigger driver of valuation than fundamentals. The supply/demand dynamics in the private markets create a persistent, valuation-agnostic bid for top private companies: an order of magnitude more capital pointed at companies than the amount
Figma stock down 68% in the 2.5mos since IPO. — Valuation: ~$19B (17x rev) — ARR: $1.1B in ARR, +38% YoY, NDR 131% — $1B in stock, 5% of the co, vested on IPO There's a good reason late stage private companies stay that way. Public markets are brutal.
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The former often serves as LP marketing but is usually a symptom of deep insecurity and a desire to prove — to both themselves and the broader market — their intelligence and capabilities. It’s designed to give themselves agency and center themselves in the art of
Most venture investors can be grouped into (1) those that believe what they do is an explicable and interpretable process, and (2) those who believe what they do is a non-replicable black box more akin to magic. The second group can be further divided into (a) those who claim
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It’s really challenging for operators to re-orient themselves away from building “normal” venture-scale startups to building the shape of company Yishan describes, because the Silicon Valley culture that nearly every founder today grew up in rewards duration-maxing and creating
My AI investment thesis is that every AI application startup is likely to be crushed by rapid expansion of the foundational model providers. App functionality will be added to the foundational models' offerings, because the big players aren't slow incumbents (it is wrong to
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When I voted in NYC this morning (PS 89 site in Tribeca), the polling workers gave me a ballot that had already been filled out -- for Zohran, of course. Gross incompetence from the polling workers at best. At worst, fraud designed to confuse voters in favor of their preferred
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Leaving aside the differences between the two companies, there’s a broader point here: while both public and private investors have enthusiastically poured money into AI infrastructure businesses at sky-high valuations, they’ve had wildly different attitudes towards software
ServiceTitan: ~$9 B EV on ~$866 M revenue. Harvey AI: ~$8 B valuation on ~$100M+ ARR. At this price you have to believe that we’re moving from a world of niche vertical SaaS to the next Industrial Revolution
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The idea that conservatives vote the way they do out of economic self-interest is a tired, pre-2015 critique. The potential consequences of Zohran’s election on the tax base/fiscal outlook for NY are obvious and problematic, but they aren’t the reason people like Bill find
Mamdani keeps using me as a foil in his campaign stump speeches and interviews. What @ZohranKMamdani doesn’t understand is that I am not opposed to his candidacy because my taxes will go up. Mamdani is not the right mayor because he is a socialist with no experience running
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No better time to announce that I’ve joined the Customer Value Fund than on the back of the news of the team’s work with Chainguard, one of the world’s leading security businesses. After spending time with hundreds of businesses as a venture investor and building one at Callin,
We’re delighted to share that we’ve secured $280 million in strategic capital from @generalcatalyst's Customer Value Fund (CVF) to help power our next stage of growth! 💜 Read more in Reuters: https://t.co/d89D4jYpyz
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Financial nihilism, widespread mental illness, political violence, and AI psychosis are a scary combo. Many companies today fall neatly into two categories: those that accelerate these things and those that defend against them. Smart people should build the latter.
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Stock-based compensation discourse always picks up when software falls out of favor with investors. We saw this frequently during the SaaS crash of 2022 and are seeing it again now as software names sell off due to the “AI kills software” narrative. Loud SBC discourse on X is
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So much of the discourse around the challenges facing VCs focuses on the dynamic of “too much capital chasing too few deals” and the need for consolidation. Unfortunately, it misses the fact that the problem isn’t simply one of oversupply, nor one that consolidation alone can
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One interesting model for the LLM war is to treat it like a dollar auction. It's unclear that the ever-increasing “bids” are worth the size of the steady-state economic prize given how fast-depreciating the models are. A lot depends on the overall macroenvironment and whether
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The venture-backed, AI-enabled rollup was one of the hottest themes of 2024. There are reasons why building an AI transformation playbook and externalizing it via M&A is very exciting, even if it’s actually a terrible money-making strategy for most traditional VCs. Less
Flavor of the month. Technical teams raising seed capital to buy a business to transform it with AI - sounds like a nightmare scenario for the founders, the company being bought, and the vcs funding it
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In 2023, nearly every software pitch was some “Copilot for X.” In the spring, on the heels of the Devin / Cognition launch, every founder began pitching “agents.” Now, as a natural extension of the agent wave, founders are pitching agentic labor replacements, arguing that
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@taylor_jrj2012 Maybe, but its a pretty shitty business I think given the COGS for the forseeable future. @andrewziperski lays it out well here https://t.co/axqkPtufLx but I think you really gotta believe they can surpass GOOG on the other types of searches before GOOG nails answers
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