Stop Flaunting ARR—This Metric Is Deceiving Everyone

Deep thoughts on AI and aspirations —— ByteDance Deep Thinking Circle

In recent years, founders’ social media pages have become ARR showcase walls. Zero to 100 million in a few months; breaking a million today, ten million next quarter. Each number steeper than the last, each caption more confident than the previous. Even the investment community has adopted this as a default filter: pre-Series A companies under $100 million ARR don’t even get a look.

But after seeing so many of these displays, my attitude has increasingly tilted toward skepticism. Not skepticism about growth itself, but skepticism that we’re measuring growth with a distorted yardstick.

Flaunting Numbers Is Flaunting Status Anxiety

First, let’s examine a psychological layer few acknowledge: flaunting ARR is fundamentally a competition for status currency.

When “speed” becomes the dominant narrative in startup circles, numbers take on two functions—externally they’re signals, internally they’re placebos. Founders aren’t showcasing revenue; they’re declaring “I’m still at the table”; audiences aren’t consuming information, they’re absorbing another round of comparison. This atmosphere has a specific side effect: it pushes those who should slow down and build product to chase presentable numbers out of anxiety, turning growth work into report generation and product work into storytelling.

Numbers themselves aren’t wrong—the problem is they’ve shifted from “business outcomes” to “social currency,” and currency gets diluted by inflation.

Three Traps in the Numbers

Using ARR as a yardstick means stepping into at least three traps.

The first is definitional. Many numbers marketed as ARR use loose annualization methods: extrapolating a full year from one explosive month, counting one-time revenue as recurring revenue, treating customer prepayments as subscriptions. The strict definition should be subscription-based annual value that’s contractually bound, predictable, and sustainable, but in public displays, these constraints are often quietly relaxed. A number’s real value isn’t its size—it’s how it was calculated.

The second is survivorship bias. You see the curve from zero to 100 million, but you don’t see that most following the same path have disappeared. Public numbers are inherently “survivor stories”—using them as benchmarks is like using lottery jackpots as salary benchmarks.

The third is ecosystem distortion. When inexperienced people use others’ numbers as their own passing grade, they make decisions that betray long-term interests—compromising quality to hit numbers, doing one-off deals to add customers. These moves look good on reports but drain real business value.

What Are the Real Signals

Strip away the numerical packaging, and what’s really worth watching is actually simpler: retention and repeat purchase.

Ask any growing product three questions, and the answers are far more honest than ARR—Who’s paying? Why do they keep paying? If you stopped all growth activities tomorrow, would these paying customers stay? The first two questions test payment quality; the third tests demand authenticity. A business with impressive numbers might not answer any of these questions, but conversely, a business that answers all three cleanly will get the numbers eventually.

This comes down to an attribution problem: ARR is an outcome variable, not a process variable. Optimizing the outcome as if it were a process inevitably leads to fabricated growth; optimizing the process (retention, repeat purchase, customer value) as process makes outcomes follow automatically. The difference is whether you’re watching the dashboard or the gas pedal.

The Other Side of Rapid Growth Was Never a Free Lunch

There’s another often-overlooked symmetry: the cost of hypergrowth.

Once growth takes off, companies must develop capabilities that normally belong to large organizations in the shortest possible time—hiring people who can keep pace, building a culture without budget approvals, handling public scrutiny that never takes a break. A single pricing adjustment can trigger a media tsunami, while three years ago this level of product decision would have gone completely unnoticed. Teams of fewer than a hundred people face problems usually encountered by companies of several hundred.

This isn’t saying rapid growth is bad—it’s saying rapid growth is a high-leverage survival mode: returns are amplified, and fragility is equally amplified. Companies that collapse under enormous numbers or get consumed by a single misstep are no fewer than slow-growth companies.

My Supplemental Call: AI-Era Valuation Metrics Are Shifting

If you only focus on ARR itself, you’ll easily miss a structural change happening now: AI company valuation logic is shifting from “revenue scale” to “per-customer value.”

The reason is AI products have a different cost structure. High inference costs, marginal costs no longer approaching zero—the old logic of “high revenue, thin margins, relying on renewals” is broken; what really supports valuation now is how much real value a customer can extract from the product, and whether that value is repeatable. In other words, the market is asking beyond revenue numbers: “Is this actually a business with unit economics that work and customers who can’t leave?”

For founders, this is actually liberating: you don’t need to stack up a flashy ARR to fundraise; you need to prove per-customer value works and show retention to those who want to see it.

Don’t Mythologize “Healthy Growth” Either

One final counterpoint: healthy growth theory has its own survivorship bias. Companies that simultaneously achieve high retention, high repeat purchase, and high renewal are inherently lucky minorities—treating that as the only correct template creates new anxiety just the same.

The most solid posture might be: be honest about your own numbers, skeptical about others’ numbers, and stay sensitive to real customer needs. Numbers are outcomes, quality is the cause—this has been said many times, but its inverse is equally important: quality can only be validated by time, and time gives no discount to anyone good at telling stories.

Key takeaways: Flaunting ARR is status anxiety; inconsistent definitions, survivorship bias, and ecosystem distortion are three traps; retention and repeat purchase are the real signals; rapid growth has costs; AI-era valuation looks at per-customer value; don’t mythologize healthy growth theory either.