We analyzed the codebases of 100 startups that hit a scalability wall (*) The goal was not to find the most exotic bug. The goal was to find the most common, expensive, and preventable patterns of failure.
The results were almost identical across 85% of them. Here is what the data says.
The Timeline to Failure
Months 1 6: Everything worked. Fast releases. Happy customers. No time for architecture.
Most software wants you to come back every day. The business model depends on it. More sessions, more engagement, more opportunities to monetize.
But what happens when your product's purpose is to help someone understand themselves better? At Murror, we've been wrestling with a paradox: if we do our job well, users should eventually need us less not more.
