Telling the real ones from 30,000 fake Elon Musks

What was discussed

This one ran without a corporate partner: the community put it on itself. About a hundred people came, and both speakers were people currently doing the work.

First up was Park Gyu-tae of Mirr AI. He builds an SNS automation tool for small business owners, an AI agent that runs an Instagram account end to end. At its best it was making 40 to 50 million won a month. He still calls it a toy project, because the numbers arrived before he had verified that he understands the market.

Then came fifty days across San Francisco, New York and LA. He described San Francisco as a city where thirty thousand people are doing an impression of Elon Musk, while noting that genuinely next-level people are mixed in among them and the whole trick is telling the two apart. He also raised the question of a moat in software, having watched several competitors appear within weeks.

The second speaker was Celina: MIT, then Wall Street, then Berkeley Law, then a New York law firm, then an AI startup. She now coaches careers across more than twenty cities.

Her refrain was to stop weighing it up for so long and go execute something. More than 80% of people worldwide dislike their job, she said, and almost none of that difficulty makes it onto LinkedIn. The more uncertain things are, the better moving beats reading more about it.

The same tension surfaced repeatedly at the tables. AI has lowered the bar to starting something, but being able to work at any hour dissolves the boundary and burns people out. The conclusion landed in the same place each time: in a market where everyone has AI, what separates people is not how much of the technology they know but whether they execute.