
"Cursor is Dead" is Total BS: Here is Why | Miles Clements
Miles Clements (guest), Harry Stebbings (host)
In this episode of The Twenty Minute VC, featuring Miles Clements and Harry Stebbings, "Cursor is Dead" is Total BS: Here is Why | Miles Clements explores miles Clements debunks “Cursor is dead” and reframes AI investing Miles Clements argues that in AI, the best way to assess companies is by combining “time to value” with “durability of value,” and he claims coding tools uniquely excel on both dimensions.
Miles Clements debunks “Cursor is dead” and reframes AI investing
Miles Clements argues that in AI, the best way to assess companies is by combining “time to value” with “durability of value,” and he claims coding tools uniquely excel on both dimensions.
He pushes back hard on the “Cursor is dead” narrative, saying the market is expanding fast, Cursor’s agent usage is surging, and competition like Claude Code is not necessarily zero-sum.
Clements explains why Cursor being multi-model is a feature (developers switch models constantly), and defends Cursor building specialized coding models as a path to deeper enterprise differentiation.
The conversation widens into how modern funds seek ownership, why some 2021-vintage companies may find LBO “homes,” why going public is less attractive below ~$5B, and what Accel learned from missing deals like Rippling and ServiceTitan.
Key Takeaways
In AI, assess “time to value” and “durability of value” together.
Clements argues some categories (legal/accounting) take longer to deploy but become deeply embedded once adopted, while “vibe coding” apps can deliver instant value but lack defensibility. ...
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“Cursor is dead” is a narrative error driven by surface-level signals.
He says Claude Code’s momentum is real but largely tethered to model breakthroughs (e. ...
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Cursor is no longer just an IDE story; agents are the core usage vector.
Clements cites Cursor metrics: agent users outnumber tab-feature users 2:1; ~90% of users are daily active on the agent product; agent product grew ~15x; and cloud agents (new as of late Oct) drive ~35% of merged PRs. ...
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Multi-model support is a strategic moat because developers constantly switch models.
Accel’s in-progress survey suggests ~50% of developers switch model families daily and ~95% switch models daily. ...
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Building “own models” can be rational if the goal is specialized capability, not general AGI.
He frames Cursor’s modeling effort as specialized coding models for professional/enterprise needs rather than broad generalist models. ...
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Don’t over-index on budgets; focus on assumptions and product usage intensity.
Clements says revenue plans matter mainly as a way to encode assumptions about product, pricing, and segment penetration—not as a quarterly scorecard. ...
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Rule-breaking is part of the craft—but should be rare and intentional.
Quoting Jim Breyer: “Investing is an art and a science…the art is knowing when to break the rules. ...
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Notable Quotes
“There’s a pretty useful framework…understand a company’s time to value and then the durability of that value.”
— Miles Clements
“The reason I think coding has become, like, the vertical in AI is because it shines on both dimensions.”
— Miles Clements
“With all due respect…you’re not looking at any real metrics. Like, who are these people to make these judgments?”
— Miles Clements
“Growth can obscure and blind you to a lot of underlying ills in the business.”
— Miles Clements
“Investing is an art and a science…the science is understanding how to properly value a company, and the art is understanding when to break the rules.”
— Miles Clements
Questions Answered in This Episode
On the time-to-value vs durability framework: what specific metrics or user behaviors best predict “durability” in AI-native products beyond retention?
Miles Clements argues that in AI, the best way to assess companies is by combining “time to value” with “durability of value,” and he claims coding tools uniquely excel on both dimensions.
Get the full analysis with uListen AI
Cursor vs Claude Code: which workflows do you think will remain IDE-centric vs agent/chat-centric over the next 12–24 months?
He pushes back hard on the “Cursor is dead” narrative, saying the market is expanding fast, Cursor’s agent usage is surging, and competition like Claude Code is not necessarily zero-sum.
Get the full analysis with uListen AI
You cited strong agent adoption inside Cursor—what do you think is the next technical/product hurdle to make cloud agents trustworthy at enterprise scale (security, review, provenance)?
Clements explains why Cursor being multi-model is a feature (developers switch models constantly), and defends Cursor building specialized coding models as a path to deeper enterprise differentiation.
Get the full analysis with uListen AI
If model-switching is so frequent, what’s the long-term differentiation for an app layer like Cursor—workflow, data, distribution, pricing, or proprietary models?
The conversation widens into how modern funds seek ownership, why some 2021-vintage companies may find LBO “homes,” why going public is less attractive below ~$5B, and what Accel learned from missing deals like Rippling and ServiceTitan.
Get the full analysis with uListen AI
What would have to be true for Cursor’s specialized coding models to materially outperform frontier generalist models for enterprise use cases?
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Transcript Preview
Sometimes getting overly fixated on the financial metrics in this environment can leave you with an unsatisfying taste in your mouth. Growth can obscure and blind you to a lot of underlying ills in the business
Now today I'm thrilled to welcome Miles Clements to the show. Miles helps lead Accel's growth investing practice, where he's backed some of the best in the business, including Atlassian, Linear, Cursor, and many more
You can actually be successful in this market investing in consensus. Investing is an art and a science. The science is understanding how to properly value a company, and the art is understanding when to break the rules. Focus on hitting singles and doubles and let the home runs take care of themselves. And what he means by that-
Ready to go? [upbeat music] Miles, we are in person. I love it when you're in town. It's so lovely to see you, man, and it makes it so much more special doing it in person. So thank you for joining me.
Yeah, thanks for having me. It's, uh, always fun being here.
Now, I wanna start with the core question that I think every investor's thinking about, which is w- how do we ascertain true value in an AI world where technology seems so transient and revenue seems so endurable?
I think in terms of evaluating these AI categories and companies, there's a pretty useful framework, which is basically trying to understand a company's time to value and then the durability of that value. And so I think that a number of these companies sort of shine on, on different dimensions. If I were to look at, um, you know, legal AI, uh, accounting AI, a company like Basis that we just invested in, I actually think these companies don't have immediately quick time to value. And so when you look at, like, you know, the deployment cycle and, and getting lawyers and, and getting accountants sort of sold on the technology, that can take a little while. But once it is hooked, the durability of that value is, like, transformational to these firms. On the other end in the spectrum, I would take some of, like, the very early vibe coding companies, right? Very quick time to value. Like, you start vibe coding, all of a sudden you have a weekend warrior pickleball app ready to go overnight. Like, you can start using something very quickly, but the bottom just fell out for a lot of these apps because there was no durability of value. The reason that I think coding has become, like, the vertical in AI is because it shines on both dimensions. Like, you can start using Cursor in an afternoon and by that evening, like, you're ten times more productive. The, the time to value is very short, and then the durability of that value compounds as the team starts using it. So Claude Code, Cursor, all of the great products out there, like, I think this is why coding has become the vertical that is the battleground in AI today.
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