Miles Clements: Balancing financial metrics with operational health, the art and science of investing in AI, and why coding tools are the battleground for productivity | 20VC

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Key Takeaways

Focusing solely on financial metrics can obscure deeper issues within a business.
Successful investing combines scientific valuation with artistic judgment.
Evaluating AI companies requires understanding the transient nature of technology versus the enduring nature of revenue.
The time to value and durability of value are critical for AI company success.
Coding tools in AI have become a primary battleground due to their rapid productivity gains.
Cursor’s agent product has seen significant growth, with high daily user engagement.
There is an increasing demand for multimodal capabilities among developers.
Cursor’s focus on specialized coding models offers a strategic advantage in the market.
The engineering sector lacks a platform company, presenting a growth opportunity.
Early-stage investors prioritize business assumptions over revenue predictions.
Understanding deployment cycles is crucial for assessing AI technology effectiveness.
The competitive landscape in AI tools is defined by rapid adoption and sustained value.

Guest intro

Miles Clements is a Partner at Accel where he helps lead the firm’s growth fund. He has led investments in Atlassian, Cursor, and Linear. Prior to Accel, he worked in product management at lynda.com.

Balancing financial metrics and business health

Sometimes getting overly fixated on the financial metrics in this environment can leave you just like with an unsatisfying taste in your mouth; growth can obscure and blind you to a lot of underlying ills in the business.

— Miles Clements
Focusing too much on financial metrics can obscure underlying issues in a business.
Understanding the balance between financial performance and operational health is crucial.
A holistic view of business health goes beyond just financial metrics.
Growth can obscure and blind you to a lot of underlying ills in the business.

— Miles Clements
Financial metrics should not be the sole focus in evaluating a business.
Operational health is as important as financial performance in business evaluation.
Sometimes getting overly fixated on the financial metrics can leave you just like with an unsatisfying taste in your mouth.

— Miles Clements

The art and science of investing

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
Successful investing requires both scientific valuation and artistic judgment.
Investing in consensus involves understanding market dynamics and valuation.
You can actually be successful in this market investing in consensus.

— Miles Clements
A nuanced understanding of investing combines art and science.
Breaking the rules can be part of a successful investment strategy.
The science is understanding how to properly value a company.

— Miles Clements
The dual nature of investing is critical for success in volatile markets.

Evaluating AI companies

In terms of evaluating these AI categories and companies, there’s a pretty useful framework.

— Miles Clements
Understanding the transient nature of technology versus enduring revenue is key.
A strategic approach is necessary for assessing AI companies in a volatile market.
There’s a pretty useful framework for evaluating AI companies.

— Miles Clements
The challenges of valuing AI companies require a comprehensive framework.
Investors need to consider both technology and revenue when evaluating AI.
Understanding the transient nature of technology versus the enduring nature of revenue is important.

— Miles Clements
A useful framework helps navigate the complexities of AI company evaluation.

The importance of time to value in AI

These companies don’t have immediately quick time to value.

— Miles Clements
Time to value and durability are critical factors for AI company success.
Deployment cycles and user adoption are crucial in the AI sector.
The durability of that value is transformational to these firms.

— Miles Clements
Understanding deployment cycles is essential for evaluating AI solutions.
AI companies require time to demonstrate their value effectively.
Getting lawyers and accountants sold on the technology can take a while.

— Miles Clements
Durability of value in AI is transformational for firms.

Coding tools as a battleground in AI

Coding has become the vertical in AI because it shines on both dimensions.

— Miles Clements
Coding tools offer quick time to value and durable productivity gains.
The competitive advantage of coding tools is emphasized by rapid adoption.
You can start using cursor in an afternoon and by that evening you’re 10 times more productive.

— Miles Clements
Coding tools are a primary battleground in the AI market.
Rapid productivity gains make coding tools highly competitive.
The reason that coding has become the vertical in AI is because it shines on both dimensions.

— Miles Clements
The AI market is defined by the impact of coding tools on productivity.

The growth of Cursor’s agent product

90% of cursor users are daily active users of the agent product.

— Miles Clements
Cursor’s agent product has seen significant growth and user engagement.
High daily active user rates indicate strong product adoption.
The agent product grew 15x last year.

— Miles Clements
User engagement metrics are crucial for evaluating tech product success.
Cursor’s agent product is a key player in its market.
Understanding the significance of user engagement metrics is important.

— Miles Clements
The strong adoption of Cursor’s agent product highlights its market importance.

Demand for multimodal capabilities

50% of developers switch model families on a daily basis.

— Miles Clements
The demand for multimodal capabilities among developers is increasing.
Developer preferences are shifting towards multimodal tools.
95% of developers switch models on a daily basis.

— Miles Clements
Multimodal capabilities are influencing future product development.
The trend towards multimodal tools is shaping market strategies.
I think the world wants to be multimodal.

— Miles Clements
Developer tool trends are moving towards increased multimodality.

Cursor’s strategic focus on specialized coding models

Cursor is going to build specialized coding models for enterprise users.

— Miles Clements
Specialization in coding models offers a strategic market advantage.
Cursor’s focus on specialized models targets enterprise needs.
What they’re gonna be able to achieve is incredible.

— Miles Clements
The competitive landscape favors specialized coding models.
Enterprise users benefit from specialized coding model development.
Cursor’s focus on building specialized coding models is a strategic advantage.

— Miles Clements
Specialization is key to Cursor’s product development strategy.

The gap in the engineering platform market

There has never been a platform company for engineering as a vertical.

— Miles Clements
The engineering sector lacks a dedicated platform company.
This gap presents significant growth and innovation opportunities.
Engineers are the fastest growing, most dynamic vertical there is.

— Miles Clements
Cursor aims to fill the market gap in engineering platforms.
The potential for growth in the engineering sector is substantial.
There has never been a platform company for engineering as a vertical.

— Miles Clements
Engineering platforms represent a dynamic and growing market opportunity.

Revenue predictions and early-stage investment

Revenue predictions encode a lot of business assumptions.

— Miles Clements
Early-stage investors prioritize business assumptions over revenue predictions.
Revenue predictions are important but not the primary focus for investors.
The output is a little bit less important when we think about that.

— Miles Clements
Understanding business assumptions is crucial for early-stage investment.
Investors focus on underlying assumptions rather than financial outputs.
Revenue predictions are important in that they encode a lot of business assumptions.

— Miles Clements
The distinction between early-stage and public market expectations is key.