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
Really solid approach — I'm juggling something similar myself (building Xstream4K on the side), what's been the hardest part for you so far?
Vanity metrics are so easy to chase because they feel like progress — downloads, page views, social shares. But none of those tell you if people actually find value. Retention, return intent, and "would you miss this if it disappeared?" are the signals that actually matter. Great reminder to audit what you're measuring before optimizing for the wrong thing.
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?