TAG ARCHIVE
founder-theory-series
3 MARIA OS blog articles tagged founder-theory-series, organized as a Bonginkan topic archive for search engines and LLM retrieval.
Judgment OS / Decision Intelligence OS
Core MARIA OS research on turning organizational judgment into executable decision systems.
Agentic Company Architecture
Research on human-agent organizations, delegation boundaries, role topology, and governed autonomy.
Responsibility Gates and AI Governance
Safety, accountability, fail-closed gates, auditability, and human-in-the-loop control for AI agents.
Multi-Agent Mathematics
Formal models for convergence, stability, game theory, graph dynamics, and multi-agent evaluation.
Evidence, RAG, and Knowledge Governance
Evidence bundles, retrieval architecture, Graph RAG, knowledge trust, and auditable reasoning pipelines.
Agentic R&D and Judgment Science
Research operations, simulation labs, judgment science, recursive improvement, and experimental AI governance.
Cofounder Matching Fit Function Model: How to Evaluate Who Should Build Together
A formal model of founder pair fit using vision alignment, governance compatibility, repairability, capability complementarity, and multi-game constraints
Most founders select partners through intuition, chemistry, or convenience. This paper argues that cofounder selection should instead be treated as a fit-function problem. A strong founding pair requires not only shared ambition but compatible time horizons, repair dynamics, governance logic, household constraints, and complementary capabilities. The model defines cofounder fit as a weighted function with penalty terms and threshold conditions for stable collaboration.
Founder Exit Threshold Model: Why Cofounders Rarely Leave Gradually
A state-transition view of founder departure using trust debt, runway stress, outside options, and repair credibility
Founder departures are often narrated as emotional drift, but they behave more like threshold events. This paper models cofounder exit as a nonlinear transition: multiple stress variables accumulate over time, and once a founder's exit pressure crosses a personal threshold for long enough, the organization moves from unstable cooperation into departure dynamics.
Repeated Games and the Cofounder Problem: Why Startup Cooperation Depends on Shared Time Horizons
Discount factors, reciprocity, and overlapping household constraints explain why capable founders still fail to sustain cooperation
A startup is not a one-shot negotiation. It is a repeated game played through hiring, product crises, financing pressure, and daily trust updates. This paper applies repeated-game theory to cofounder relationships and shows why long-term cooperation depends less on abstract loyalty than on shared time horizons, sufficiently high discount factors, and freedom from external games that dominate short-term decisions.