Running my first validation experiment in public: 20 strangers in 7 days
First product: Becoming, a companion that grows you a procedural tree, and when you slip it asks what got in the way and fixes exactly that. Built it because I'm the guy who abandoned every tracker.
Every link is source-tagged, signups land in Supabase, and I read conversion per channel daily. If I miss 20, the data tells me whether it's a distribution problem or a message problem, not a product problem.
https://becoming.elaich.com?src=ih. I'll post the per-channel results either way.
I like that you're trying to separate distribution from product learning.
One thing I'd keep watching is whether people are rejecting the product or simply not seeing enough value in the first few minutes. Those can produce similar conversion numbers but require completely different decisions.