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These were true in pre-LLM era. Cursor is a good example. Big numbers but what is the value in a year?

Sure they had a lot of growth but when there are a 100 alternatives, each offering something a bit different, then user bleed is natural.

Meta, Google and all big co will spend more $ short-term to buy and they will continue to bleed till the new playbook sets in the minds of execs.

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talent it is then;

both acquihires and products will get cheaper, could the new playbook be the OG marketplace ?

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In this case they're shutting down the product, so it's definitely not for the product or for the user base.
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That's not necessarily true. They can be using it to jumpstart their own desktop app.

I don't see a Muse desktop app, this gives them something they can spin up in a few weeks, not months, with native cloud integration. I'd guess we're going to see a product competing with OpenAi/Anthropic (as far as standalone apps are concerned) by January.

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100%. I'm seeing it as a repeat of the VS Code fork wars. Funnily enough, nobody won that war. The paradigm disappeared entirely.
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You mean that desktop app is not something I can spin up in days with my tiniest of LLM budgets?

I do not know where people are lost these days. I build ambitious apps with 3x $20 subscriptions. And I live in a village in eastern Himalayas. People are really in a bubble.

LLMs have crushed the idea of "using [another product] to jumpstart" anything. Just build it.

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Yes you can build it in a single prompt, but you miss the 93 versions of iterations and thoughts of the developers who've already made the project. If you have the money, why not buy a product/team that already has a year of experience with real users instead of reinventing the wheel?
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That is your assumption. I am not talking about one-shot. I mean that lots are people are going through more iterative development cycles than ever in the history of software. Just my own examples (100% agent written)

https://github.com/brainless/nocodo, https://github.com/brainless/dwata, https://github.com/brainless/akar, https://github.com/brainless/baho

All these and more, from a single engineer with 3 x $20 subscriptions. While I also run chicken and pig farms. It will take time for people outside tech hubs to understand what LLMs enable.

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Not that I don’t think there’s amazing things that can be built easier, but designing and building a product is more than writing the code. Look at where you spent effort for your own examples. There’s a skill there which goes further than just reverse engineering an existing solution, and that skill is obviously of value to Meta. People were going crazy for the price they paid for instagram some years ago I remember.
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