Chris Compean

The Profile

The advocate who argues with the numbers

Ask the people who run Mayan with Chris Compean what he actually does, and they will not tell you about his title. Javier Garcia, the company's chief technology officer, calls Chris the "devil's advocate" - the one who drags "analytics, numbers" onto a table full of big ideas. In a founding team wired for vision, Chris is the friction. The person who asks whether the story holds up once you graph it.

Today he is co-founder and CEO of Mayan, a fully-remote software company that helps Amazon sellers grow through data-driven automation. The pitch is simple and the market is enormous: hundreds of thousands of small businesses live and die inside Amazon's advertising machine, and most of them are flying blind. Mayan hands them the instrument panel - bid optimization, inventory forecasting, campaign automation, and profitability dashboards - built, as Chris likes to point out, not in a lab but "alongside successful Amazon sellers."

That last detail is the whole thesis. "We've heard from many of our customers that there is a gap in the solutions ecosystem for Amazon sellers," Chris said when the company announced its Series A. "One of our differentiators is that our products are built alongside successful Amazon sellers." It is a founder's way of saying: we are not guessing.

The name is a tell

Most SaaS companies get named in a conference room by a thesaurus. Mayan got its name from heritage. The founders share Latino roots, and the company is a nod to pride in Mexico and to the ancient Maya - a civilization remembered for astronomy, mathematics, and building things that outlasted empires. For a company whose entire product is turning raw numbers into structures a small merchant can stand on, it is an almost suspiciously perfect metaphor. Chris did not stumble into data by accident. He walked toward it, and then named the walk.

He earned his degree at MIT - a BS in Business Management with a finance focus, a minor in mathematics, a concentration in economics. Not computer science. And yet everything that came next ran on data. At Cogo Labs in Boston he built revenue models and negotiated click prices. At VEGAS.com he ran A/B and multivariate tests and translated the results into decisions product teams could act on. The through-line was never the industry. It was the spreadsheet underneath it.

Learning the enemy from the inside

Before Mayan, Chris was an early team member at Thrasio - the largest aggregator of Amazon brands, and the fastest US company on record to reach unicorn status. Thrasio's business was buying successful third-party sellers and scaling them. Which means Chris spent his formative Amazon years learning, in granular detail, exactly what separates a seller that thrives from one that stalls.

Then he switched sides. Where Thrasio bought the winners, Mayan arms everyone else. The sellers who would once have been acquisition targets are now customers, handed the same growth playbook without having to sell the company to get it. It is a neat inversion, and it is not an accident. Chris saw which levers moved the numbers, and built a business out of renting those levers to the people pulling them.

A fraternity, a pandemic, a company

The origin story is older than the company. Chris met his three co-founders - Javier Garcia, Armand Mignot, and Ernesto Reza-Garduño - more than a decade ago at MIT, where they were fraternity brothers. When Ernesto decided to launch Mayan during the pandemic, Chris was among the first to commit. Four friends, one Y Combinator batch (Winter 2021), and a company assembled over video calls before "fully remote" was fashionable.

The division of labor mapped to temperament. Ernesto brought the Thrasio-honed instinct for acquiring and growing FBA businesses. Javier brought the engineering. Armand brought the finance. And Chris brought campaign management, operations, and the habit of asking whether the excitement in the room could survive contact with a chart. He started as chief operating officer. He is now chief executive.

What gets him out of bed

For a man who traffics in dashboards, the motivation is refreshingly unquantified. "I love being in a role where I can point to something that had a positive impact," Chris has said. The impact he points to is not abstract - it is a small business owner in some corner of the country whose brand grew because Mayan told them where to spend and where to stop.

The results back the sentiment. Mayan customers have reported an average 28% increase in return on ad spend within three months, and a 47% jump in ad sales over the same window. Across two years the platform drove more than $80M in ad sales and $160M in total Amazon sales. Those are the numbers the devil's advocate gets to point at now - not to poke holes in, but to stand on.

The machine, and the humans on top of it

Mayan's product reads like a control room for anyone who sells on Amazon: advanced keyword harvesting, automated bid management, automated campaign creation, profitability dashboards, inventory forecasting, replenishment alerts, and pricing rules. The unifying idea is "human-led machine learning" - models trained by MIT-schooled data scientists, but steered by people who have actually run an Amazon storefront. The software finds the signal; the humans decide what to do with it. For a seller drowning in ad spend and stockouts, that combination is the difference between guessing and knowing.

It is telling how the company is built. Mayan is fully remote, and was from the start - no office to commute to, no headquarters to photograph. Chris works from the Nevada desert; teammates work from Madrid and everywhere between. For a company selling automation to distributed merchants, running itself as a distributed team is less a perk than a proof of concept.

In March 2023, Mayan raised a $5M Series A led by Bright Pixel, on top of an earlier $2M seed - $7M in all, backed by Y Combinator, Global Founders Capital, Alumni Ventures, and others. The plan was to push the advertising automation further and launch a self-serve product at a lower price, so the smallest sellers could get in too. Widen the door, in other words. Which is the whole point of naming your company after the people who built pyramids anyone could see from miles away.

There is a quiet symmetry to where Chris landed. He grew up professionally on other people's data - click prices at Cogo Labs, test results at VEGAS.com, acquisition targets at Thrasio. Now he runs a company that turns data into something a stranger can use to feed a family. The devil's advocate spent a career poking holes in other people's confidence. He built Mayan so a small seller could earn some of their own.

Sources: Mayan.co, Y Combinator, PR Newswire, TheOrg, Crunchbase, LinkedIn.