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Comment by DrewADesign

7 hours ago

Talking about profit is so passé in the new economic paradigm. The rules have changed— it’s about how much a company is worth. Get with the times.

–Some guys in every bubble I’ve witnessed.

I think Russ Hanneman calls it a "pure play" type of company. He put radio on the internet, so he would know.

I dunno. You can argue over whether they're overpaying, but it's not like Huggingface is Clinkle. They hit $150 million in ARR this year, they have tons of runway, and according to reports, have just started to even burn the money they raised a few years ago.

I get that it's fun to be glib about the stupidity of tech elites and investors in general, but Huggingface have been pretty open about their financials and are, in my opinion as a practitioner in the field, one of the most responsible orgs in our space. They've been a pillar of open source ML for years now and have made a very positive impact on our ecosystem.

Nvidia is getting a real business generating revenue, and the center of the universe for open models. Both seem like pretty valuable attributes, from Nvidia's perspective.

  • 150 million a year? Why, at that rate NVidia will make their money back in just 86 years.

    • Solid point. I'm sure Nvidia went into this deal expecting completely flat growth and no other benefits to their core business. Sorta like how Meta never increased Instagram's revenue from $0 and is still waiting for it to pay off that billion dollar acquisition price.

      Or like GitHub, which was generating something like 200 million in ARR and had never hit profitability when Microsoft bought it for $7.5 billion back in 2018. I'm sure it has come as nothing but a happy surprise to Microsoft that GitHub generated $1 billion in 2023. They had initially penciled it in for 38 years til ROI.

    • Basic napkin math: 5% IRR means they'd only need to 4.5x their revenue to make this roughly work. If they can finance this cheaper and/or do not have better options for their cash, it's even less.

  • Can someone help me out - who pays for things on HF? Are they charging the model providers?

    • It's not too dissimilar from GitHub, but geared towards ML. They have a 9/mo pro plan for individual users for upgraded storage/usage, and an enterprise version of Hub that larger orgs can pay for. I think the enterprise has some contract minimum + 50/mo per seat. https://huggingface.co/pro

      They also have inference endpoints with metered prices, and their spaces product (though i'd imagine this is a smaller portion of revenue).

This gets mentioned a lot, but the most valuable companies, by orders of magnitude, have the most profit, by orders of magnitude.