Aman Khan: recommendation

Transcript context

…My takeaway here is if you're feeling like you have no idea where your product is going to go, maybe be okay with that. And in your experience, you eventually find the path as you wander. And with AI tools making it much easier to prototype and design an ideate, in theory it makes that a little less stressful because you can actually just try stuff. And I think that's the amplifying the signal with through the noise with AI. The signal can be super sparse you get back at times too. And then what you can do is there's really powerful tools, we use Gong for instance to understand what are maybe prospects or really engineers, to me it's like potential customers, what are they talking about? What is their pain point? And I can't go be in 100 meetings every single week, but what I can do is take those transcripts, and we literally did this, we fed them into some of these large language models that have super long context windows now. And what you can do is actually pull out what's the most common problems that come up? Having a conversation around that can be really powerful too. Now you can do it with voice too, so you can pull all of that in. Maybe you want to turn it into a NotebookLM episode, but what you can do is actually just find ways to find signal through the noise. And that kind of gives you an ability to almost have a superpower, because you can be in so many places at once and use technology to your advantage to get that signal back. So I would really try to find ways to scale yourself up with AI and come back with that signal. Anything else along these lines of things that have helped you be really successful as we wrap up and approach our very exciting lightning round?…

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