A trap a lot of these kinds of research labs or hard tech labs fall into is they start with the technology first, build that in a vacuum, and then they try to figure out what use cases to try to fit it into later. Whenever that happens, it always feels like the product isn't quite the right fit.
Zhang was candid about that competitive battle, sharing how Decagon values speed and "go-to-market execution" as "advantages," but not "long-term differentiators."
4w ago
The difference between a business that's working and one that isn't is that the working one has solved the hard problem, and the non-working one hasn't. Most people spend all their time on easy problems.
As AI makes it trivial to build and launch products (and, soon, even come up with product ideas), the biggest challenge for product teams is quickly becoming distribution: getting people to pay attention to your product in the increasing cacophony of launches.
