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1. Overview

‍Problem:‍

Achieving true product-market fit (PMF) is no longer a linear milestone but a dynamic, emergent condition.

- Conventional PMF discovery processes break down in fast-changing markets because they rely on:
- Reactive user feedback that lags actual behavioural shifts.
- Static user personas that ignore emotional and contextual evolution.
- Limited reasoning frameworks, leading to missed or misread inflection points in customer adoption.

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Solution:

‍We have developed a computational method for adaptive market intelligence that enables live, continuous recalibration of product-market resonance: what really matters, visualized.

Our system integrates:
- Real-time trust-risk mapping across user narratives and behaviours.
- Emergent intelligence generation through metaemotional profiling and ontological reasoning.
- A flywheel framework that identifies and adapts to hidden drivers of customer fit.

This method empowers startups, enterprises, and product teams to dynamically track, validate, and evolve product-market fit with strategic foresight rather than retrospective guesswork.

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2. The Innovation: A Method for Ontological Product-Market Fit Intelligence

We live-map metaemotional dynamics—emergent change in ‘how we feel about how we feel.’

This patent-pending method integrates ontological heuristics, multi-order inference modeling, and semantic network mapping to provide actionable insight into user-product dynamics.

2.1.1 Key Components of the Method

- Contextual Fit Engine: Dynamically maps emotional and cognitive drivers behind user adoption or resistance.
- Scenario Fit Generator: Generates adaptive value propositions using abductive reasoning.

- Stage-Gate Flywheel: Recalibrates product assumptions based on live market signals.

2.1.2 Methodology | Evidence-Based Testing + Data Rigour
- Canada’s largest financial institution: tested team-wide fit and messaging assumptions across mortgage service/approval/customer relations ecosystem.- Federation of Ontario Public Libraries: over 10,000 hours of in-room adaptive modelling across 600+ staff.

2.1.3 Human Systems + Natural Models

Our system mirrors the adaptive processes of natural ecosystems—distributed sensing, contextual alignment, and feedback recalibration. Our system works the way real livehuman beings work.

2.1.4 Extensibility + Modularization of Core Diagnostic Engine

It has not escaped our attention that our sense making system is but a pale imitation of the many modes of collective intelligence already active and thriving in nature, its niches and its networks—and has applications beyond what we detail here.

There is a clear commercial future in ‘modularizing’ the core engine:

• disinformation counter-messaging
• community conflict resolution
• sleep dysfunction diagnostics
• game/blockchain reputation management/security• team sports psychological profile diagnostics


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3. Computational, Neuroscientific + Mathematical Foundations

3.1 A Neuroscientific Approach to Product Resonance

Trust formation and value recognition are neurobiological processes. When product narratives match user predictive models, adoption increases. When they conflict, trust decays. Neural mirroring drives mutuality—reciprocal, trusted emotional ‘flow’—shaping shared user belief.  

Flowstate diagnostics are the beating heart of our praxis.

3.2 Adaptive Product-Market Fit Messaging

Using abductive reasoning and emergent community intelligence, our system generates market-fit hypotheses and adaptive value language that resonate with shifting user priorities in real time.

3.3 Emergent Strategic Scenarios
Our system continuously generates context-specific non-obvious strategic scenarios—emergent predicates for human sense- and decision-making. The data never stops.

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4. Market + Business Potential

4.1 Enterprise Applications

- Startups + VCs: de-risk premature scaling by real-time PMF tracking
- Product-Led Companies: align roadmap with deep user signal articulations- Customer Success Teams: reduce churn via emotional trust diagnostics
- B2B SaaS: identify value disconnects across stakeholder tiers.

For more info, contact brendan@lacunae.o or schedule a demo