adminAI Startup Burn Multiple: How Investors Should Adapt the Metric for Compute-Heavy Companies
How to interpret burn multiple for AI startups when compute, model training, inference and infrastructure investment distort traditional SaaS comparisons.
AI Startup Acquisition Due Diligence: 10 Questions Before Buying a Small AI Product
Ten due-diligence questions for acquiring a small AI product, covering retention, model dependency, data rights, code quality, channels and unit economics.
AI Startup Valuation: How to Think About Revenue, Growth and Compute Costs
A practical framework for thinking about AI startup valuation through revenue quality, growth, retention, gross margin, compute cost and defensibility.
AI Startup CAC Payback: A Better Way to Judge Paid Growth
How investors can evaluate AI startup CAC payback using gross margin, retention, channel quality, inference costs and cohort behavior.
AI Startup Revenue Quality: Subscription, Usage, Services or Licensing?
Compare subscription, usage, services and licensing revenue in AI startups and what each model means for predictability, margin and valuation.
AI Startup Moats in 2026: Data, Distribution, Workflow or Identity?
A framework for evaluating AI startup moats across proprietary data, distribution, workflow integration, identity systems, cost advantages and network effects.
Creator Economy SaaS vs AI Creator Platforms: Which Business Model Has Better Leverage?
Compare creator economy SaaS with AI creator platforms across revenue model, variable compute cost, network effects, distribution and creator switching costs.
AI Roll-Up Strategy: When Acquiring Small AI Products Can Create Real Value
An investor framework for AI roll-ups: when acquiring small AI products can create value through distribution, infrastructure, pricing and shared operations.
How to Read AI Startup Retention: Cohorts, Novelty and Real Product-Market Fit
A practical guide to reading AI startup retention curves, separating launch novelty from durable behavior and connecting cohorts to monetization and product-market fit.
AI Startup Gross Margin: Why Revenue Alone Can Mislead Investors
AI startup gross margin can look very different once inference, media generation, API fees and human review are included. Here is how investors should analyze it.
