FOUNDER THEORY SERIES

One theory stack for founder cooperation, breakdown, and selection

The founder problem is not three separate stories. It is one connected system: repeated cooperation, nonlinear exit, and pair design before trust is consumed.

Theory Map

Cooperate -> Break -> Select Better

δτFcooperationexitmatching

Paper 1 explains why cooperation can hold. Paper 2 explains why exits feel sudden. Paper 3 explains how to choose a pair that is structurally more likely to survive both.

Series Thesis

A startup founder relationship should be modeled as a repeated game with threshold dynamics and pair-fit constraints. If you understand only one layer, you will misdiagnose the company.

Diagnose cooperation

Use paper 1 when the question is why trust is failing despite capability and goodwill.

Diagnose departure

Use paper 2 when a founder exit looks sudden and you need a state-transition explanation.

Select better pairs

Use paper 3 before formation or when reclassifying whether someone should be a cofounder at all.

Papers

Read the series in order

Each paper solves a different failure of founder reasoning: naive cooperation analysis, naive departure narratives, and naive cofounder selection.

01

Repeated Game

42 min read

Repeated Games and the Cofounder Problem: Why Startup Cooperation Depends on Shared Time Horizons

Cooperation survives only when founders share a long enough time horizon.

cooperation constraint

delta >= (T - R) / (T - P)

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.

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02

Threshold Model

39 min read

Founder Exit Threshold Model: Why Cofounders Rarely Leave Gradually

Departure is a regime shift caused by accumulated pressure, not a mood change.

exit hazard

X_t >= tau_i for H rounds

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.

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03

Fit Function

38 min read

Cofounder Matching Fit Function Model: How to Evaluate Who Should Build Together

The right founding pair is chosen by structural fit, not charisma or convenience.

pair selection

F_ij = rewards - penalties

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.

Read articleARIA-WRITE-01

All articles reviewed and approved by the MARIA OS Editorial Pipeline.

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