adminAI Infrastructure Exposure: How to Stress-Test a Startup’s Compute Risk
A framework for stress-testing AI startup exposure to GPU supply, model API pricing, cloud concentration, latency and infrastructure contracts.
AI Startup Working Capital: Why Prepaid Credits Can Distort Cash Quality
How prepaid AI credits, annual contracts and deferred revenue affect cash flow, working capital and the quality of an AI startup’s reported growth.
Creator AI LTV: How to Model Revenue When Creators and Fans Share the Economics
A framework for modeling creator AI lifetime value across fan retention, payer conversion, creator revenue share, inference cost and cross-creator discovery.
Open-Source AI Dependency: A Due-Diligence Checklist
How to evaluate AI startups that depend on open-source models, libraries and infrastructure across licenses, maintainers, security, forks and differentiation.
AI Startup ARR: How to Normalize Recurring Revenue When Usage Is Volatile
A practical framework for normalizing AI startup ARR when subscriptions, usage revenue, credits and services make headline recurring revenue difficult to compare.
AI Startup Secondary Shares: What Investors Should Check Before Buying Private Stock
A practical checklist for evaluating AI startup secondary shares across valuation, rights, transfer restrictions, dilution, liquidity and company fundamentals.
AI Startup Pricing Power: How to Tell a Feature From a Durable Business
An investor framework for AI startup pricing power across measurable ROI, switching costs, differentiation, gross margin and customer alternatives.
AI Startup Model Dependency Risk: What Investors Should Ask About API Providers
How investors should evaluate AI startup dependence on external model APIs across pricing, reliability, portability, differentiation and vendor concentration.
AI Startup Net Revenue Retention: How to Read Expansion and Churn
An investor guide to AI startup net revenue retention across seat growth, usage expansion, inference costs, contraction and customer concentration.
AI Startup Rule of 40: Does the SaaS Metric Still Work for AI Companies?
How investors can adapt the Rule of 40 for AI startups when inference costs, usage revenue and compute-heavy growth make SaaS comparisons imperfect.
