Signal vs. Noise
How we separate proven demand from hype cycles.
Every market produces noise — trends that look like traction, metrics that flatter without meaning, narratives that feel inevitable until they aren't. The discipline is in telling signal apart from the rest.
What real demand looks like
Real demand leaves traces that hype doesn't. Users paying despite poor UX. Workarounds that entire communities build and maintain. Retention curves that hold steady without marketing spend. These are the signals we look for — behavioral proof, not projected TAMs.
Filtering the pipeline
We apply a simple filter: would someone pay for this today, with current functionality, if the experience were merely adequate? If the answer is yes, there's signal. If the answer depends on a future market shift or behavior change, that's noise.