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But there's still a ton of innovation going on in cars. Tesla and BYD are some of the biggest companies in the world. And conversely, rockets was regarded as a

But there's still a ton of innovation going on in cars. Tesla and BYD are some of the biggest companies in the world. And conversely, rockets was regarded as a sleepy, government contracting business for a long time. I don't particularly understand why (some) people say X technology has stagnated, like web or apps. There's a ton of innovation going on - off the top of my head, WebGPU and WASM will unlock huge amounts of performance for web apps, creating a lot of possibilities like much more powerful web game engines. There seems to be widespread beliefs that the market is "saturated" or "well developed". This always struck me like saying automotive startups won't work because rubber tyre technology has stagnated. Webs and apps are just the delivery mechanism for software. I think there's two flawed reasons people think this. One is that they only perceive the change in people using it. So they think anything which has a lot of people already using it means it's saturated. Two, they as consumers don't perceive the vast, complex systems used to deliver those services. So a website is a website to most people, but they don't understand the massive changes it has undergone over the decades. The only technology that really dies is very specific ones competing with others in a narrow field. For example vacuum tubes lost to the transistor.

wslh 2y ago
There is innovation, but you’re operating within the same business domain. I wasn’t talking about stagnation but addressing the point made in the article as a software-based founder: will you compete with NVIDIA? Highly unlikely. Will you create an AAA game? Unlikely. Will you advance AI at a fundamental level? Again, highly unlikely. When I said “no way” I meant the chances are close to epsilon. In the past, there was more room for improvement and breakthroughs in these fields. This doesn’t mean you can’t create a successful startup based on AI, but its success will likely stem more from the business development side than the software itself. The secret lies in bizdev.
- InkCanon 2y ago
  IMO thinking about it as business domains first isn't good. From "first principles" you have technology (which is rapidly changing). After the technology has been made sellable, people come up with a label for it to put what it is in a box. So business domains are always lagging indicators . And inside there's this deeply buried implicit assumption that anything in the same business domains delivers the same value, plus some market CGAR. It doesn't how value generated by products can change radically. To do that you really need to understand the technology itself. Not me personally because most of what you listed requires deep expertise and founder fit. But certainly a lot of people are. It was always unlikely a startup would succeed, but from a technological perspective, the opportunities have just blown up because of AI. For example compiler/programming language startups like Mojo are back in vogue (the last major one being Java) because of the increased demands of AI/heterogenous hardware. There's many hardware startups like Cerebras. There's people trying to find use cases for AI - education, healthcare, automation, etc. Several incredibly successful games were startups recently - Genshin Impact, Black Myth Wukong. Yes you're unlikely to make an impact in a very specific field - like going head to head against OpenAI, DeepSeek, Anthrophic etc on SOTA models. But there's these hundred other innovation opportunities opening up precisely because these models do so well. Historically the greatest errors in thinking about innovation have been thinking about it like a linear progression of increasing the supply of a commodity to meet demand, like if you have enough computers that's going to be it. It's really like a tree, with an exponential explosion of the surface area of innovation opportunities. If you want a forward looking model, you need to think this technology X has gotten huge, what other technologies will this lead to?
  - wslh 2y ago
    We agree that there are many opportunities. However, I would like to clarify that the market for these opportunities has become more sophisticated than before, and business development plays a key role. Ultimately, you will rely on or utilize advanced technologies created by others and few, such as OpenAI or Llama. The software you are developing could be built by many developers in the world, there is no secret there. While the quality of your developers matters, some may be better or worse, it's important to remember, as the startup adagio points out: your company doesn't fail because you can't deliver software; it fails because you lack product/market fit (and go-to-market fit).

wslh 2y ago

There is innovation, but you’re operating within the same business domain. I wasn’t talking about stagnation but addressing the point made in the article as a software-based founder: will you compete with NVIDIA? Highly unlikely. Will you create an AAA game? Unlikely. Will you advance AI at a fundamental level? Again, highly unlikely. When I said “no way” I meant the chances are close to epsilon. In the past, there was more room for improvement and breakthroughs in these fields. This doesn’t mean you can’t create a successful startup based on AI, but its success will likely stem more from the business development side than the software itself. The secret lies in bizdev.

InkCanon 2y ago
IMO thinking about it as business domains first isn't good. From "first principles" you have technology (which is rapidly changing). After the technology has been made sellable, people come up with a label for it to put what it is in a box. So business domains are always lagging indicators . And inside there's this deeply buried implicit assumption that anything in the same business domains delivers the same value, plus some market CGAR. It doesn't how value generated by products can change radically. To do that you really need to understand the technology itself. Not me personally because most of what you listed requires deep expertise and founder fit. But certainly a lot of people are. It was always unlikely a startup would succeed, but from a technological perspective, the opportunities have just blown up because of AI. For example compiler/programming language startups like Mojo are back in vogue (the last major one being Java) because of the increased demands of AI/heterogenous hardware. There's many hardware startups like Cerebras. There's people trying to find use cases for AI - education, healthcare, automation, etc. Several incredibly successful games were startups recently - Genshin Impact, Black Myth Wukong. Yes you're unlikely to make an impact in a very specific field - like going head to head against OpenAI, DeepSeek, Anthrophic etc on SOTA models. But there's these hundred other innovation opportunities opening up precisely because these models do so well. Historically the greatest errors in thinking about innovation have been thinking about it like a linear progression of increasing the supply of a commodity to meet demand, like if you have enough computers that's going to be it. It's really like a tree, with an exponential explosion of the surface area of innovation opportunities. If you want a forward looking model, you need to think this technology X has gotten huge, what other technologies will this lead to?
- wslh 2y ago
  We agree that there are many opportunities. However, I would like to clarify that the market for these opportunities has become more sophisticated than before, and business development plays a key role. Ultimately, you will rely on or utilize advanced technologies created by others and few, such as OpenAI or Llama. The software you are developing could be built by many developers in the world, there is no secret there. While the quality of your developers matters, some may be better or worse, it's important to remember, as the startup adagio points out: your company doesn't fail because you can't deliver software; it fails because you lack product/market fit (and go-to-market fit).