The numbers behind building a startup.

AI in Excel is genuinely impressive. It is also solving the wrong problem. Here is what the spreadsheet debugging wave is missing about how financial models break.

How to build financial model assumptions that are explicit, defensible, and actually useful for making decisions and talking to investors.

Why scenario planning matters for early-stage startups and how to build a downside case that is honest, defensible, and actually useful.

The two main approaches to revenue forecasting for startups, what each one is good for, and why the best models combine both.

What gross margin is, why SaaS businesses target 70-80%, and how it connects to fundraising, unit economics, and your financial model.

A practical guide to customer acquisition cost and lifetime value for pre-seed and seed founders who need to understand and defend these numbers.

The case for building a financial model at pre-seed, even when everything is uncertain and the numbers will be wrong.

Why spreadsheet models break under real startup change and how structured systems reduce risk.

What VCs actually want to see in early-stage financials and how to avoid common trust-killers.

A founder-focused guide to MRR, ARR, and churn and how they drive revenue, cash, and runway.

Why profit can look healthy while cash shrinks, and how founders should model the difference.

How to calculate runway and burn rate, avoid common mistakes, and keep cash decisions grounded in reality.

A founder-first guide to building a startup financial model that connects revenue, costs, and cash decisions.