in this conversation, you’ll learn:
why product market fit feels shakier even when growth looks strong.
how ai changed the economics of building and copying software.
what “habit gravity” is and why it replaced features as the real moat.
how modern products become part of a user’s daily mental workflow.
where to find prayerson:
in this episode, we cover:
(00:00 - 02:33) the pmf paradox
why products can look successful but still feel fragile inside.
how ai made building easy but made staying hard.
(02:33 - 05:27) the old pmf model
how scarcity, switching costs, and slow imitation created moats.
why early winners like slack, dropbox, and google could compound trust over time.
(05:28 - 07:24) the collapse of feature advantage
how ai shrank the gap between invention and imitation.
why proving demand now instantly creates saturation.
(07:25 - 10:36) the ai native user
how chatgpt and midjourney reset expectations for speed and simplicity.
why context, responsiveness, and memory now define good software.
(10:36 - 12:52) why retention is the only truth
how novelty creates fake pmf through vanity metrics.
why real pmf only shows up when users return without being pushed.
(13:11 - 17:58) the four forces of habit gravity
how frequency, switching pain, context lock in, and workflow depth create reliance.
why aligning all four turns tools into dependencies.
(18:07 - 22:51) pmf case studies
how notion, midjourney, chatgpt, and perplexity score on habit gravity.
where each product gains strength or shows vulnerability.
(23:09 - 26:09) the new pmf playbook
how pms must hunt for behavioral loops instead of features.
why repetition, depth, and memory now drive pmf experiments.
(26:09 - 28:13) the future of pmf
why pmf now lives inside human routines, not code.
how anticipatory memory could become the next competitive moat.
