MongoDB Is in the Wrong Drawer

MongoDB fell 29% in six weeks.

The obvious story is the CEO departure.

I think the bigger story is that the market may have MongoDB in the wrong drawer.

Most software gets paid per seat. MongoDB Atlas gets paid for reads, writes, storage and compute.

If agents do more work, MongoDB can sell more of what it already monetizes.

Snowflake showed how powerful that reclassification can be. MongoDB may be next.

The key: our base case does not require it. At roughly today’s multiple, we still get to about $640 in three years.

AI is not the thesis. It is the mechanism that could force the market to refile the business.

MongoDB Is in the Wrong Drawer

Read it here: [link]

The base case needs no AI boom and no higher multiple. AI is not the thesis. It is the mechanism that forces the market to refile the business.

Snowflake Lost Its Closer. The Price Followed Something Else.

On the afternoon of February 28, 2024, Frank Slootman did something celebrated CEOs rarely do on an earnings call: he announced he was leaving, explained why, and handed the microphone to his successor in the same breath. Slootman had taken Snowflake public in the largest software IPO ever, and investors treated him as the company's closer. His explanation was blunt:

With the onslaught of Generative AI, Snowflake needs a hard-driving technologist to navigate the challenges the new role represents. Sridhar's vision for the future and his proven ability to execute at scale made it clear to us as a board that he is the right executive at the right time to lead Snowflake. This marks my retirement from an operating role. I will remain on duty as Chairman of the Board and look forward to working with Sridhar and the team going forward.

The successor was Sridhar Ramaswamy, who had arrived nine months earlier when Snowflake bought Neeva, his AI search start-up. The same release guided product revenue growth to 22% against a Street wanting about 31%. Snowflake closed at $230.00 that day, $188.28 the next, and $167.75 within a week, down 27%. The market priced one story: Snowflake without its closer.

Here is the part that matters. The CEO change did not set Snowflake's price over the next two years. The stock kept sliding and hit about $121 in April 2026, in the middle of the "AI eats software" sell-off, with Ramaswamy two years into the job. Then it rose 182% to $341.04 by October 2, 2026. Nothing about him changed in either stretch.

What changed was the drawer the market filed Snowflake in. In early 2026 it sat with every other software company: businesses whose customers pay per person, and whose customers need fewer people once agents do the work. By autumn it had been moved: a business that gets paid for the work a computer does and so gets paid more when agents do more work. The CEO discount was the sideshow. The classification set the price.

Thirty-one months later, the same script opened at MongoDB, with one difference: the market has not yet decided which drawer MongoDB belongs in. So here is the question this piece answers: not whether MongoDB has an AI product, but whether MongoDB gets paid when AI does more work.