Are We Measuring Product Success With the Wrong Signals?
Upvotes and views are useful, but they don't always tell the full story.
A product can receive attention without finding the people who actually need it. Meanwhile, another product might have a smaller audience but be extremely valuable to the right users.
I’m interested in building a more quality- and relevance-focused approach to product discovery.
That’s the direction behind LaunchNest LN.
https://launch-nest-ai.base44.app
Attention is an input, not an outcome. I’d measure whether users complete one meaningful task, return with a second need, or recommend the product without being asked. A smaller group with repeated intent is stronger evidence than a large burst of launch traffic. How will LaunchNest distinguish relevance from temporary curiosity?