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I don’t know… If the company is so healthy and has some nice financial buffer, I would expect the increased productivity due to AI to be used for more revenue generation. So either they don’t know how to translate all the quality hires they got into (enough) revenue, they can’t afford it, or maybe they they hired too fast to maintain quality :shrug: That’s my read at least

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It likely has to do with changed investor preferences. In the boom years, it was OK to grow at all costs, make money whenever. Nowadays investors are looking to cash out earlier, from what I observe. Gotta find ways to make the stock move up in that environment, cost-cutting-because-AI seems to work right now.

I'm not 100% convinced it means they gave up and are trying to cash out. It could also be that they just struggled to integrate all the people in a meaningful way, even if they're all really good. Having grown a company from a hand full of people to 250, I more than once fantasized about going back down to ~100. Scaling companies well is hard. 10k, I can't even imagine.

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