It’s 17m for a tool which hopes to serve companies and charge money and make more than 17m in profit as a result.
If you look at the set of dev tooling, teams will frequently pay many hundreds per dev on things like CI, Git tools, code review, etc.
And to be fair, GitHub is really quite bad for a lot of workflows. I haven’t used gitbutler, but my team pays ~$30 a month per dev for tools which literally just provide a nicer interface for stacking PRs, because it saves us WAY more than that in time.
This isn’t even an egregious example of VC, it’s just an enterprise dev tooling bet.
So it's gambling that they can extract money from open source project, by repackaging most of the existing features through a nice UX and hope business gamble their tech stack on it.
But that’s not what VCs are doing. They’re not buying software that saves time. They’re betting on a teams ability to extract rent from a market through monopolistic practices like vendor lock-in. The most profitable software companies like Microsoft don’t make the most time saving software, in fact most of Microsoft’s offerings are garbage (ahem Teams) compared to alternatives. But Microsoft makes the most money due to marketing and distribution not because they make “time saving” software.
What experience are you expecting in a phone-free breakfast joint if you are there by yourself? Interupting other patrons meals to randomly talk to them? That sounds kind of like hell.
Of course not, but its also not an exclusive experience you can only get at resturants.
And quite frankly noisey busy resturants are a subpar place to have that sort of experience. Most people who want to do that sort of thing go to a park or somewhere quiet with nature.
Author’s central point is that an LLM answer “is optimized for arrival, not for becoming” (to paraphrase from the Google “Lucky” part).
So a reasoning LLM that does the comparisons and checks “like a human” still fails the author’s test.
That said, this still feels like a skill issue. If you want to learn, see opposing views gather evidence to form your own opinions about, LLMs can still help massively. You just have to treat them research assistants instead of answer providers.
Imagine you are a salesperson for the hardware division of such a company. Imagine you did your work well through the entire year. How would you answer your question?
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