How to Raise Capital: Why Metrics Still Matter

1. Key Themes

Theme: Metrics ground an emotional decision rather than make it

Rounds are emotional; metrics make the story credible

Harris opens by reframing what metrics do. They don't produce rounds, but they make the founder's narrative believable.

"There are no metrics that automatically produce a round. Rounds happen when investors believe you're on the path to a massive company, and that belief is primarily emotional. Yet metrics are critical for grounding your narrative and making your story credible."

Metric fluency is a disqualifying threshold

Not knowing your numbers signals that you don't understand your own business.

"If you don't have a firm grasp of your metrics, you are not ready to fundraise. Not knowing your numbers tells an investor you don't understand your own business well enough to know whether you have product-market fit, and it is disqualifying in a way few other mistakes are."

Theme: Consistency and detail are what make numbers trustworthy

Consistency turns data into a trend

Investors trust predictable patterns more than averages that hide volatility.

"Six months of 40% monthly growth reads as a trend (though an early one). Alternating months of shrinking and growing is hard to read, even if the pattern averages out to the same number."

Detail means honest, defensible definitions

Founders should know how every number is calculated and how sensitive it is to assumptions. Common offenders are flagged.

"A few classic offenders: cumulative charts that only go up, reporting gross merchandise value as revenue, not including compute in margin calculations without dislcosing what you're doing."

"If you define a user as someone who logs in monthly, know what the number looks like if the definition is daily."

Admitting ignorance builds credibility

"If you do get a question you can't answer, you should say 'I'm not sure about that one, I'll get back to you today.' That answer builds credibility. A made-up answer, discovered later, ends processes."

Theme: "Good" is explosive, relative, and story-consistent, not benchmark-driven

Explosive growth is the new bar, especially in AI

Previously solid growth no longer clears it, and AI revenue velocity has reset investor expectations.

"Investors are pattern-matching on explosive trajectories. Previously solid growth metrics (e.g. triple-triple-double) are not enough, but neither are large revenue targets with middling growth. Given the speed at which AI companies have demonstrated they can accumulate revenue, investors are much more interested in growth narratives."

Your numbers are judged against the investor's queue

Timing and investor intelligence matter more than generic benchmarks.

"Your numbers are evaluated against the other companies in that investor's pipeline. This is why fundraise timing matters so much, especially in the current fast-evolving venture market."

The metric that matters proves your specific story

"The number that matters most is the one that proves your specific story is coming true. There is no magic threshold for CAC, LTC, AUM, DAU."

Theme: Rounds are priced on how well early data validates the vision

Trends beat snapshots, and three failure modes undermine them

"Your round, wherever it sits, is priced on how convincingly the early data points you currently have validate that the vision you sold to investors is materializing."

The three issues are insufficient data (e.g., "two months is not a trend"), inconsistent data (alternating negative, flat, and positive months), and too much unflattering history.

2. Contrarian Perspectives

Benchmarks are a mirage, even though the author once built them

Harris helped create benchmark tables at YC, then disavows the approach. His evidence is that actual deal data is essentially random.

"Benchmarks are a mirage. If you don't believe me, find a VC and ask him for the revenues and growth rates are for the most recent five deals done by his firm. You will get a near random scatter plot."

"At this point, even trying to make that kind of chart would be totally useless."

Carta-style benchmark posts are not the best source of truth; investors themselves are

Founders should gather market data directly from investors in casual meetings, learning what they passed on, what they missed, and how the founder stacks up.

"The best source of benchmark truth isn't a Carta blog post but investors themselves. You can leverage your relationships and use casual meetings to gather market data."

Optimists, not pessimists, survive as great investors

"The best investors are optimists. The pessimists tend to wash out because they can never find a future on which to bet. The optimists though, they keep betting, but over time they also learn to be skeptical."

3. Companies Identified

Instinct

• Description: A startup cited as an example of extraordinary, attention-capturing growth (context is implied rather than explained).
• Why mentioned: As the exception to the "two months is not a trend" rule, a company whose growth is so explosive that early data alone commanded attention.
• Quote: "Unless of course your growth is so absurdly explosive that you've captured all the attention in the world and are Instinct."

Carta

• Description: Cap table and equity management platform that publishes startup benchmark data.
• Why mentioned: Held up as a less reliable benchmark source than investors themselves.
• Quote: "The best source of benchmark truth isn't a Carta blog post but investors themselves."

Y Combinator (YC)

• Description: Startup accelerator where the author previously worked.
• Why mentioned: The author's earlier Series A guide and benchmark table, now disavowed as a useful framework.
• Quote: "When I first wrote the Series A guide at YC we crunched all the data on successful raises to create a table of benchmark ranges."

4. People Identified

Aaron Harris (author)

• Description: Former YC author of the Series A guide; now writing a book-length guide on fundraising.
• Why mentioned: Source of the framework and the experience-based critique of benchmarks.
• Quote: "This is the sixth chapter in a book-length guide I'm writing about how to raise capital in a vastly different venture landscape."

Two unnamed "great investors"

• Description: Investors Harris uses as his mental model for evaluating a business.
• Why mentioned: His preferred lens for thinking about metrics.
• Quote: "My favorite way to think about metrics is to try to view a business from the perspective of a great investor (there's two I think of, but I won't embarrass them by naming them)."

5. Operating Insights

Prepare a metrics "defense file" before any fundraise

For each number, know its calculation, supporting data, embedded assumptions, and sensitivity across monthly, quarterly, and annual windows. Memorize most of it.

"For every number you report, knowing how it's calculated, what data supports it, and what assumptions are baked in. Ideally, know how the number changes if you change the assumption."

Use investor meetings as market research and time the raise against the queue

Build relationships early and treat casual meetings as intelligence gathering on what peers look like.

"It's also important to deeply understanding the inventors you talk with to know what companies they passed on, what companies they missed, and how you stack up."

Lead with the metric tied to your biggest blocker

Put yourself in the investor's shoes: define the future state, identify blockers, and show evidence that you will overcome them.

"The metric you need to focus on first is the one most closely related to your biggest blocker. If you're building a deeply technical product, you'll need to show you can solve the problem or hire the team - which isn't really a metric at all."

6. Overlooked Insights

Proactively explain inconsistent numbers with a structural reason

Rather than hoping investors overlook volatility, founders should lead with a genuine explanation, which turns a red flag into evidence of understanding.

"If you believe your numbers are inconsistent you should proactively provide investors with a genuine structural explanation that helps them understand the metrics and your business."

Unflattering history carries a rising burden of proof, even after a pivot

Older or heavily funded companies with flat growth face compounding skepticism, which has implications for how long to wait before a "second act" raise.

"Founders underestimate how hard it is to convince investors to trust the last four months over the previous four years... the burden of proof rises with every month of history."