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Sometime around 2015 or so when the legacy Yahoo Messenger shut down, The Motley Fool, where I was running product at the time, fell into a three-month malaise.

Our whole internal culture ran on it. We moped around like a bunch of babies.

Shocker: we survived — probably just fine in a quarter.

But I do remember the feeling: something we loved got taken away by people doing math we didn't care about.

And that was just a chat app getting unplugged, a feature being removed.

Last week an entire company changed hands, and the same feeling was all over my feed since Airtable sold to Bending Spoons. And almost every reactive take I've read since has denounced Airtable, or expresses frustration about the wrong thing.

I get it — I wasn't just watching from the cheap seats.

While I didn't work there, I did love Airtable.

A well-built relational database is basically work porn for me, and yes, I know how that sounds and I stand by it. When I got my first shot as a CEO to build something from scratch at Hampton, I built our whole customer DB on Airtable, not a decision I took lightly.

So I do have feelings, and while they are not necessarily personal, they are still feelings about the topic.

If somehow you were living under a rock last week, here's what actually happened.

Airtable, a business doing $480 million in revenue with 90% gross margins, growing 20% a year, used by 80% of the Fortune 100, sold for $1.28 billion — 89% below its 2021 valuation of $11.7 billion.

The internet read that as a collapse, outrage. It wasn't — it was a change in the appraiser.

A company doesn't have a single price.

It has as many prices as there are buyers, because every buyer walks in running different math. A strategic acquirer prices the synergies. A bank prices the collateral. An IPO prices the story.

For a decade, the buyers in Airtable's room played the lottery-ticket game. Venture investors pay huge prices for a shot at 50x. Profits are mostly irrelevant to a lottery ticket. Only explosive growth makes the ticket worth anything. And in 2021, those buyers priced Airtable at roughly 75x revenue.

The buyer who showed up last week plays the rental-property game. Bending Spoons borrows at 9%, buys the house, raises the rent, and collects cash forever. (When they bought Evernote, the annual plan jumped 86% overnight. The top plan now runs $250 a year.) Landlords don't pay for dreams, they pay 2-4x for rent rolls.

And the truth is, Airtable's growth slowed to 20%, which is obviously a more-than-fine business, but probably a useless lottery ticket.

So the lottery players left the room, a landlord walked in, and the price snapped from lottery math to landlord math overnight.

If you run a profitable company doing $1M, $5M, $15M — a company that was never lottery-priced, with no $735 million of preferred stock sitting ahead of you in line — every doom headline you've read this week is describing someone else's problem.

Capital isn't fleeing software.

It's migrating from growth-priced owners to cashflow-priced owners. The buyers inheriting SaaS right now — Bending Spoons, Constellation, the PE roll-ups circling — run exactly one playbook: real customers, real retention, real profits, priced on the cash the business actually throws off.

For my bootstrappers, guess what?

You already run that playbook.

You've been the landlord all along — you just never got a TechCrunch press release for it.

So, skip the sadness and the doom-and-gloom.

Two things to think about instead:

1. Your multiple is set by whichever buyer actually shows up, and it's your growth rate, more than anything, that decides who that is.

2. A valuation is just the price of the last small slice, multiplied out. Never let a paper number become your identity, your comp plan, or your self-worth.

Some of Airtable's employees learned that last week, and it cost them $167 a share.

P.S. Buried detail: Airtable spun out Hyperagent, its AI agent platform, before the sale closed. Howie Liu sold the past and kept the future.

If you're wrestling with pricing anything AI, Ben Yoskovitz shows his actual math: a base fee for access, consumption pricing tied to the one unit that carries both cost and value, and data showing AI products under $50/month churn nearly twice as hard as ones priced above it. This was a line that I loved: "Inexpensive enough to try, priced enough to matter."

Commure CEO Tanay Tandon's internal memo, now Sequoia lore, names the same rare animal I called a "barrel" last month, just from a different angle: the person who hunts the gnarliest problem in the business and doesn't let go until it's dead. His day-in-the-life example is worth the click alone: 100 support tickets read, root cause found, fix designed, engineers aligned, timeline set, in one day. When you find one, promote them fast and, in his words, "drench them in unreasonable amounts of equity."

Pieter Levels pulled on a thread I hadn't considered: if we all stop posting questions on Reddit and Stack Overflow and just ask our AI instead, the AI eventually has nothing new to learn from. His half-joking endgame is warehouses of robots reviewing products and humanoid robots backpacking through Southeast Asia for "life experience" data. But the serious question underneath: when everyone consumes answers and nobody publishes them, where does new knowledge come from?

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Hope everyone has a great weekend.

And until next time, thanks for reading.

Jordan