An Etsy shop got suspended for making too much money too fast.
The owner did not find out for 11 days. He was not checking the store. A system he built was running it.
The email came on day one. He finally opened it on day 11. Three things had happened in his absence. The shop had made another $2,847 from listings still cached in Etsy search. His best seller had sold out. And Etsy had flagged him for behaviour “no human seller could reproduce.”
The best seller is a plush called the Jumbo Squish Duck. It sells for $4.99. It costs him $0.83 to make, through a supplier in Guangzhou he has never spoken to. He has never held one of these ducks. He does not know what colour the eyes are.
The system that runs the shop, he calls the swarm.
At night, an image model draws 40 plush concepts. By morning, the best ones are live as listings. If nobody clicks in 72 hours, the listing disappears. If somebody clicks, the swarm floods the shop with 15 near-identical clones before the trend fades. 380 products stay live at once. Most sell nothing. Eight or nine sell everything.
Those eight or nine made $84,300 last month.
The suspension came because Etsy noticed the pattern first. 40 uploads a day, every day, for 122 days without a break. No sick days. No slow weekends. No human seller behaves like that.
He got the shop back with one email and one line of code.
The email told Etsy the volume was “internal AB testing” and attached a spreadsheet he built in Google Sheets in four minutes. The line of code added a random delay between eight and 47 minutes between every upload, so the swarm would look like a person taking a coffee break. The shop was live again in 36 hours.
Two years before any of this, he ran the same store by hand. He photographed products on his kitchen counter with a ring light. Wrote listings after his kid went to sleep. Answered customer messages at midnight from the bathroom because his wife was already asleep. His best month was $1,900.
He was not lazy. He was doing exactly what every Etsy guide told him to do. The guides were wrong about one thing. They assumed the person running the shop should also be the one making the decisions.
His son does not know his father owns an Etsy shop. His wife thinks he does freelance web design. When the bank asked what his business does, he could not answer without sounding like he was lying.
He said he tried to feel proud at first. The feeling never arrived. Pride is a wage paid for effort, and he had not spent any.
The most profitable YouTube niche right now is content nobody actually watches.
A guy just walked up to a Mercedes AMG at a gas station with 7 YouTube play buttons lined up on the ground — including a gold one. His content? AI-generated videos that people fall asleep to. Monthly revenue — $78,300.
Rain on a window. Fireplace sounds. Dark screen with ambient noise. The kind of video you put on at midnight and wake up to 8 hours later.
Here's why this breaks YouTube.
Every creator on the platform is fighting for attention. Flashy thumbnails, fast cuts, hooks in the first 3 seconds — all designed to stop you from scrolling.
This guy designed content to make you unconscious. And YouTube pays him more for it.
Because the algorithm doesn't measure how hard you watched. It measures how long. An 8-hour sleep video from one viewer generates more watch time than 1,000 people watching a 30-second Short.
More watch time means more mid-roll ads. More mid-roll ads at 3 AM when ad inventory is cheap means YouTube can fill every slot. The RPM on ambient content quietly beats most "real" creator niches.
7 play buttons on the pavement. Multiple channels. All faceless. All AI-generated. $78,300 a month from the one audience that never clicks away — because they're asleep.
10/ I was retained to independently investigate alleged misconduct at Axiom and these findings are the result of that investigation.
Earlier today I reached out to the Axiom team for comment. Their statement is attached.
Regardless of whether Cal or Mist were aware, there was little to no monitoring or access controls in place to mitigate this abuse from happening in the first place.
The extent of data granted to employees in an easily accessible dashboard is unusual for BD roles, including a user's entire wallet list with date/time, the wallets they are tracking, transaction history, the nickname of wallets, and linked accounts.
Given Broox is based in NYC I think the case presents itself as a good opportunity for SDNY since it may fall within their jurisdiction.
Whether or not criminal charges are filed, I hope the Axiom co-founders further investigate the abuse and consider taking legal action against the employees involved.
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