But the point is, OpenClaw is just the first that lucked and got viral. If not for it, something equivalent would. Much like LangChain in the early LLM days.
But the point is, OpenClaw is just the first that lucked and got viral. If not for it, something equivalent would. Much like LangChain in the early LLM days.
You think so? OpenClaw certainly owned the hype cycle for a while. There was a thread on HN last week where someone asked who was actually using it, and the comments were overwhelmingly "tried it, it was janky and I didn't have a good use case for it, so I turned it off." With a handful of people who seemed to have committed to it and had compelling use cases. Obviously anecdotal, but that has been the trend I've seen on conversations around it lately.
Also, the fact that the most starred repo on GitHub in a matter of a few months raises a few questions for me about what is actually driving that hype cycle. Seems hard to believe that is strictly organic.
I was shocked when I saw the guy behind libgdx was also behind pi.dev. Random tech worlds colliding.
Which has of course always been the true allure of AI. Do nothing and pretend you did something, when pretending is something you can be bothered to do.
But because OpenClaw can just use a web browser like a normal user, you don't need all these APIs and there's no theoretical limitations on the services that can be integrated and automated.
Right now there's a lot of issues/bugs. People have more trust in a deterministic solution like Zapier. But maybe the LLMs and OpenClaw will get there eventually, and if it does, I can see how that's a better solution than a deterministic system.