It is 11 p.m. somewhere, and an Amazon seller is staring at a spreadsheet that hates them.
Open any Seller Central account at the end of a quarter and you will find the same scene: thousands of keywords, hundreds of bids, a graph of ad spend climbing while profit quietly slips out the back door. The seller is not lazy. They are simply outnumbered. Amazon's advertising machine produces more data in a day than a human can read in a week, and most of it arrives without instructions. This is the room Mayan walks into. The company calls itself a growth automation platform for Amazon sellers, which is a tidy way of saying it does the math nobody has time to do.
Mayan, headquartered in Las Vegas and run mostly from laptops scattered across eight or so cities, sells a deceptively simple promise: keep selling, and let the software (plus a real human who knows what they are doing) handle the part that makes you want to quit. The pitch lands because the problem is real and the numbers are specific - more on those shortly.
/ 01 - The ProblemThe firehose nobody asked for
Amazon advertising is an auction that never closes. Every product, every search term, every hour of the day carries its own price, and that price moves. For a brand selling one item, this is a manageable nuisance. For a brand selling four hundred, it is a second full-time job that pays in headaches. Sellers face a genuinely unfair fight: bid too high and you torch your margin, bid too low and you vanish from the search results. The sweet spot exists, but it hides, and it moves while you sleep.
The old answer was to hire an agency, cross your fingers, and hope the monthly report matched reality. The newer answer was to buy software that automated bids but left you alone with the dashboard. Mayan's founders looked at both options and decided the choice itself was the bug. Why pick between a smart machine and a smart human?
/ 02 - The BetFour MIT grads and a calendar
Mayan was founded in 2020 by four MIT alumni - Ernesto Reza-Garduño, Chris Compean, Javier Garcia, and Armand Mignot. They came out of the world of large Amazon brand aggregators, where they had watched, up close, how much money gets left on the table by sellers who simply cannot keep up with the data. Their bet was contrarian for an AI company: the machine alone is not enough. The winning combination is human-led machine learning - software that does the relentless calculation, supervised by people who have actually run Amazon campaigns and know when a number is lying.
Y Combinator agreed it was worth a shot. So did a seed round of roughly $2M, with backers including Global Founders Capital, Alumni Ventures Group, ESAS Ventures, and Alarko Ventures. The thesis was less "replace the seller" and more "stop making the seller do arithmetic at midnight."
The short, busy history of Mayan
/ 03 - The ProductWhat the box actually does
Strip away the category jargon and Mayan does four things, each of them tedious by design. It manages advertising - automated campaign creation, keyword targeting, bid optimization, and ad-spend control. It optimizes pricing with automated rules. It tends to listings. And it forecasts inventory so you do not sell out of your best product the week before a holiday, or drown in stock of your worst.
Advertising Optimization
ML-driven Amazon PPC: campaigns, targeting, bids and spend control, with a real Customer Success Manager attached.
Growth Platform
One place for PPC, pricing, and listings - the operational cockpit for a growing Amazon brand.
Analytics & Forecasting
Custom dashboards and real-time analytics for profit, ad performance and demand.
Inventory Optimization
Prediction, alerts and automated replenishment - the difference between a stockout and a good month.
/ 04 - The ProofNumbers that survive a skeptic
A growth company can say "we drive growth" all day; the useful question is how much, and how fast. Mayan's customers, by the company's account, see a 28% lift in return on ad spend and a 47% jump in ad sales inside the first three months. Across its short life, the platform has driven over $80M in ad sales and more than $160M in total Amazon sales. The customer base grew fivefold in a single year - the kind of curve that tends to follow a product people actually keep.
The first 90 days, in two bars
In March 2023, that traction turned into a $5M Series A led by Bright Pixel (formerly Sonae IM), bringing total funding to $7M. The money was earmarked for the unglamorous but important stuff: a lower-cost self-serve tier, a free analytics and forecasting suite, and a push deeper into inventory. Less moonshot, more plumbing - which is exactly what sellers needed.
/ 05 - The MissionFor the mom-and-pop shop with ambitions
Mayan's stated mission is to expedite entry and success on Amazon. In practice that means tilting the field toward the smaller seller - the founder who has a great product and a terrible relationship with bid algorithms. The company's culture leans into this with a values acronym, D.R.I.V.E. (Data Driven, Resourceful, Inclusive, Versatile, Empathetic), a remote-first team built by founders with Latino roots, and the kind of benefits - unlimited PTO, 401K matching, twice-yearly in-person offsites - that you offer when you are trying to keep good people in eight time zones.
/ 06 - TomorrowWhy the late-night spreadsheet matters
Amazon is not getting simpler. Every year there are more sellers, more ad formats, more places to win or lose a margin point. The data firehose only widens. A company that can reliably turn that flood into a few good decisions - made automatically, checked by someone who has been there - is selling something that gets more valuable as the platform gets more crowded.
Which brings us back to that seller at 11 p.m. With Mayan running underneath, the spreadsheet still exists, but it has stopped being a threat. The bids adjust themselves. The inventory warning arrives before the stockout, not after. The seller closes the laptop and, for once, goes to bed. The Maya tracked the heavens to know when to plant. Their namesake tracks the auction so a small brand knows when to bid. Different sky, same idea: read the numbers, and you get to keep growing.