alt Hacker NewsThey were cash flow positive for 2 quarters in a row.
Their S1 is public. We have AI. Are people this lazy? Throw it into ChatGPT and ask it to confirm the numbers.
Replies
otherme123 • today at 7:57 AM
Ha! Calling people "lazy" for not using ChatGPT? I can read an income statement, is not that difficult, no need for ChatGPT. This is the S1, ammended:
https://www.sec.gov/Archives/edgar/data/2130357/000162828026...
Income at page F-7 (about 350 overall):
(units in Kilo-millions)
Revenue in first 2026 9-months 33.2
Compute and infra expenses 18.8
Personel 4.8
Sales 5.5
Administrative expenses 5.3
Operating earnings (loss) (1.2)
Q-3 only, this is calculated substracting first half from 9 first months:
Revenue in Q3 16.9
Compute and infra expenses 9.9
Personel 1.7
Sales 2.3
Administrative expenses 3.6
Operating earnings (loss (0.6)
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Ygg2 • today at 9:08 AM
> Their S1 is public.
Their S1 was taken down. As of today (https://www.reuters.com/world/china/global-markets-view-euro...) This is the second time they changed it.
Apparently they file it with Claude.
> Are people this lazy?
It's not exactly laziness. It's that most people don't understand basic financial concepts like fixed versus operating costs.
Companies like Anthropic and OpenAI have invested huge sums in building/training models. Those are the headline numbers everyone talks about. What they don't understand is that the gross profit margins on AI model inference are very high.
The question is whether these companies ever get to the point where the profit from inference justifies (recoups) the investment made in training. If they have to keep investing vast sums in training new models, and/or competition causes the margins on inference to collapse, they're in trouble. But if training becomes less costly and inference margins don't compress too much, it's a totally different story.