Theoretical framework demonstrates an attention allocation model in startup founders, suggesting parallel low-cost bets preserve strategic optionality under uncertainty.
The Parallel Portfolio Method is a founder-operating framework for allocating scarce attention under uncertainty. Rather than executing strategy sequentially, it treats early-stage business development — partnerships, investors, research, positioning — as a portfolio of weakly-coupled options, each advanced with small, cheap bets until evidence justifies concentrating real effort. The paper sets out the architecture (how options move from active to dormant to closed, or graduate into dedicated projects), the operating principles (including how AI functions as strategic memory rather than a CRM), a weekly review cadence, and the failure modes that turn genuine portfolio management into unfocused busyness.
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Timothy de Rosen (2026) studied this question.
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