Keshav · Distribution Intelligence
Causal knowledge graph
Every proven learning is a cause→effect edge. Confidence compounds with corroboration, fades with age, and — once proven across two archetypes — transfers to a brand-new product on day one. This is the moat.
Learnings, ranked by confidence
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Transfer to a new product
What a brand-new physical product should adopt on day one — proven universal learnings + strong same-archetype ones.
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