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> On top of that, Anthropic is losing money on it

This has got to be my favorite one of them all that keeps coming up in too many comments… You know who also was losing money in the beginning?! every successful company that ever existed! some like Uber were losing billions for a decade. and when was the last time you rode in a taxi? (I still do, my kid never will). not sure how old you are and if you remember “facebook will never be able to monetize on mobile…” - they all lose money, until they do not



Anyone remember the dotcom bust?


Oh yeah, I do. That whole internet thing was a total HOAX. I can't believe people bought into that.

Can you imagine if Amazon, EBay, PayPal, or Saleforce existed today?


Well, how is your Solaris installation going?

I also remember having gone into research, because there were no jobs available, and even though I was employed at the time, our salaries weren't being paid.


What does this even mean?


Seems you don’t remember much of that time. Let me refresh: “we are the dot in dot com”

==> Anyone remember the dotcom bust?


Remember that thing that caused it? That "Internet" thing? After those companies went bust it pretty much disappeared didn't it.


Completely detached from reality, brainwashed SV VC's who have made dumping the norm in their bubble.

I can guarantee you that 90% of successful businesses in the world made a profit their first year.


1 year seems aggressive. Successful restaurants have around the first year as the average break even timeline, with the vast majority between 6 and 18 months.

They are making a profit on each sale, but there are fixed costs to running a business.


1 year isn't aggressive because of the modifier "successful". Most businesses that aren't profitable 12 months in go out of business not long after, having remained unsuccessful throughout their lifespan.

Restaurants have comparatively high start up costs and ramp up time. Compare to e.g. a store selling clothes. If for successful restaurants the average time is already a year, then in general for successful businesses it's going to be less.


I’ll bite. Share your data?

Companies that were not profitable in their first year: Microsoft, Google, SpaceX, airBnB, Uber, Apple, FedEx, Amazon.

If the vast majority of companies are immediately profitable, why do we have VC and investment at all? Shouldn’t the founders just start making money right aeay?


> Companies that were not profitable in their first year: Microsoft, Google, SpaceX, airBnB, Uber, Apple, FedEx, Amazon.

US Big Tech, US Big Tech, US Tech-adjacent, US Big Tech, US Big Tech, US Big Tech, FedEx, US Tech-adjacent.

In other words, exactly what I was getting at.

Also, a basic search shows Microsoft to have been profitable first year. I'd be very surprised if they weren't. Apple also seems to have taken less than 2 years. And unsurprisingly, these happen to be the only two among the tech companies you named that launched before 1995.

Check out the Forbes Global 5000. Then go think about the hypothetical Forbes Global 50,000. Is the 50,000th most successful company in the world not successful? Of course not, it's incredibly successful.

> why do we have VC and investment at all

Out of all companies started in 2024 I can guarantee you that <0.01% have received VC investment by now (Feb 2026) and <1% of tech companies did. I'll bet my house on it.


Are we forgetting that sometimes, they just go bankrupt?


name one with comparable number of users and revenue? not saying you are wrong but I would bet against the outcome


I'll be able to do just that in 36mo or so after the IPOs and subsequent collapse, I think.


Enron


I should have guessed someone would answer this question in this thread with Enron :)

I did not ask for random company that went under for any reason but specific question related to users and revenue.


Well there are lots and lots of examples that don't end in bankruptcy, just a very large loss of capital for investors. The majority of the stars of the dotcom bubble just as one example: Qualcomm, pets.com, Yahoo!, MicroStrategy etc etc.

Uber, which you cite as a success, is only just starting to make any money, and any original investors are very unlikely to see a return given the huge amounts ploughed in.

MicroStrategy has transformed itself, same company, same founder, similar scam 20 years later, only this time they're peddling bitcoin as the bright new future. I'm surprised they didn't move on to GAI.

Qualcomm is now selling itself as an AI first company, is it, or is it trying to ride the next bubble?

Even if GAI becomes a roaring success, the prominent companies now are unlikely to be those with lasting success.


I love how your comment is getting downvoted.

Like it's a surprise that startups burn through money. I get the feeling that people really have no idea what they're talking about in here anymore.

It's a shame.


then you are misunderstaing the downvoting. it's not that the fact that they are burning money. it's the fact that this cost today 20k but that is not the real cost if you factor the it is losing money on this price.

So Tomorrow when this "startup" will need to come out of their money burning phase, like every startup has to sooner or later, that cost will increase, because there is no other monetising avenue, at least not for anthropic that "wilL never use ads".

at 20k this "might" be a reasonable cost for "the project", at 200k it might not.


That would be insightful if the cost of inference weren’t declining at roughly 90% per year. Source: https://epoch.ai/data-insights/llm-inference-price-trends


According to that article, the data they analyzed was API prices from LLM providers, not their actual cost to perform the inference. From that perspective, it's entirely possible to make "the cost of inference" appear to decline by simply subsidizing it more. The authors even hint at the same possibility in the overview:

> Note that while the data insight provides some commentary on what factors drive these price drops, we did not explicitly model these factors. Reduced profit margins may explain some of the drops in price, but we didn’t find clear evidence for this.


What in the world would the profit motive be to “make it appear” that inference cost is declining? Any investors would have access to the real data. End users don’t care. Why would you do the work for an elaborate deception?

Source that they’re losing money on each token?




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