📦 Product & Business Models · 1 min read February 2026

The Network-Effects Playbook

Last updated February 27, 2026

Six network-effect archetypes, their tipping-point dynamics, and field-tested strategies for solving the cold-start problem in each.

Network effects require explicit design choices across supply, demand, and trust.

Cold Start

Narrow scope aggressively to create dense interaction loops first.

Liquidity

Measure the probability of successful interaction, not just growth.

Contributor

Mikkel @mkl_vang

Covers operational innovation, AI implementation patterns, and how teams ship useful change without theater.

Mikkel writes from an operator perspective. He is interested in what happens after the strategy deck: staffing constraints, decision latency, governance friction, and the daily tradeoffs that determine whether innovation initiatives survive contact with reality. His reference base includes the OECD Oslo Manual, the NIST AI Risk Management Framework, and Google Re:Work.

His pieces often combine process design with clear implementation checklists, especially around AI adoption and cross-functional delivery. He likes explaining how high-level frameworks can be adapted to smaller teams with fewer resources by drawing on practical standards like the OECD Oslo Manual, the NIST AI Risk Management Framework, and team practices from Google Re:Work.

When reviewing content, Mikkel prioritizes precision over hype. If a recommendation cannot be tested in a sprint or measured over a quarter, it usually does not make the final draft.

The Network-Effects Playbook

Cold Start

Liquidity

Mikkel @mkl_vang

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