Joined 6 months ago
Building is cheap. Distribution, differentiation and discovering unmet demand are becoming the expensive parts.
Understanding existing code or generating possible solutions is getting easier. The hard part is still deciding what to build, what not to build, and how independent ideas fit together into something coherent.
In my experience, AI reduced the cost of implementation far more than it reduced the cost of synthesis.
Building software has become dramatically easier over the last year. The hard part is no longer creating products—it's getting people to discover and trust them.
I spend far more time thinking about distribution today than implementation. That's a shift I didn't expect.
