Network Effects That Actually Compound
Source-grounded pack with Cold Start Risk Scan, Network Defensibility Review, and Liquidity Metric Design, plus 1 more.
Use this pack when
Choose this pack when the work touches Network Effects That Actually Compound and you need a bounded workflow with explicit inputs, a defined output, and human review gates.
Included workflows
Choose the job in front of you.
4 source-grounded skills. Load one workflow at a time.
Cold Start Risk Scan
Use this workflow when a network is too sparse to create reliable value and needs an atomic network, standalone first-side value, deliberate constraints, manual scaffolding, bottleneck-specific subsidies, useful-density thresholds, and an adjacency-based expansion test.
Output Return a cold start plan with atomicnetwork, densityladder, firstsidevalue, manualscaffolding, constraintandsubsidy, densitythresholds, and expansiongate.
Network Defensibility Review
Use this workflow when a network must protect trust, quality, topology, incentives, reputation, workflow, liquidity, data, ecosystem value, and verified outcomes against abuse, concentration, multi-homing, disintermediation, extraction, AI-generated noise, switching, and decay.
Output Return a network defensibility review with accumulatedadvantage, multihomingandleakage, topologyrisk, governanceandincentives, extractionreview, aiimpact, and decayandrepairplan.
Liquidity Metric Design
Use this workflow when a marketplace or matching network needs to prove that participants reliably obtain relevant outcomes within local category, geography, urgency, price, quality, or use-case pockets rather than relying on aggregate supply, demand, GMV, or launch activity.
Output Return a liquidity measurement system with clearingdefinition, demandmetrics, supplymetrics, systemqualityandeconomics, localviews, thresholds, and decisionrules.
Network Loop Map
Use this workflow when a product, marketplace, community, data product, collaboration tool, protocol, or ecosystem claims network effects and needs proof of the participant-to-participant value exchange, effect type, compounding unit, quality conditions, local topology, and negative effects.
Output Return a network loop map with effectclaims, atomicvalueexchange, loopfunnel, effecttaxonomy, marginalityandlocality, topology, and falsificationandnegativeeffects.
Human review
Keep consequential decisions explicit.
These workflows structure analysis and artifacts; they do not authorize autonomous external, personnel, financial, legal, security, or other high-impact action.
Source and files
Grounded in the complete Network Effects That Actually Compound series.
10 source essays · 4 usable skills · reviewed Jul 2026