For startups without trading history, focus on driver-based forecasting. Identify the key variables that will determine your revenue and costs—such as expected customer numbers, average transaction values, pricing tiers, or market penetration rates. Ground these assumptions in evidence: industry benchmarks, competitor data, or pilot programme results. This approach lets you demonstrate the logic behind your projections and easily adjust scenarios when assumptions change.

Each funding source has trade-offs. Self-financing through customer revenue or cash reserves preserves full ownership and vision control. Bank debt provides capital without giving up equity but requires repayment regardless of business performance. Equity investment brings capital without repayment obligations but dilutes ownership and introduces partners with their own expectations. The right mix depends on your growth stage, risk tolerance, and how much control you want to retain.

Growing teams is often a startup's biggest cost. You need to model not just salaries but associated costs like equipment, taxes, and the revenue you expect new hires to generate.

How Fathom helps: Use Microforecasts to model individual hires as discrete events. Each microforecast can include the salary expense, equipment purchases, associated taxes, and expected revenue contribution. You can easily toggle microforecasts on and off to experiment with hiring timing, and use the Business Roadmap to drag and drop when hires happen to see the cash flow impact.