Finance Platform: guides and courses

Finance planning for early-stage SaaS and AI companies: business plans, forecasts with scenarios, pricing simulations, plan vs actual and a finance assistant that cites the numbers it uses. Guides, courses and the formula behind every figure.

Guides

How to do things with the platform, step by step.

• What the Finance Platform does

  A finance planning workspace for early-stage SaaS and AI companies: plan, forecast, price, compare plan with actuals, and ask an assistant that cites its numbers.

• Getting started

  Create an account and a workspace, or try the demo workspace, and run your first forecast.

• Check runway before a hire

  Find out whether you can hire someone in a given month and still keep the runway you want, with a scenario the assistant drafts and you review.

• Price a consumer subscription

  Simulate candidate prices for a subscription across conservative, base and optimistic cases and see break-even, payback, money needed and a suggested price.

• Import a spreadsheet

  Bring planning data from an Excel or CSV file into a workspace: inspect, map, check as a dry run, review the proposed changes and apply them only when you confirm.

• Connect your own AI agent

  Let your own AI agent (Claude, ChatGPT, an IDE assistant or an in-house agent) work with your workspace over MCP with OAuth, or call the REST API with a token.

• Share numbers you can prove

  Sign KPIs as a statement that a bank, investor or auditor verifies without an account, or open a live read-only data room with a secret link.

• Security, privacy and AI transparency

  How workspaces are kept apart, what is logged, how data is exported and erased, and how the assistant's answers stay transparent and under human oversight.

• Start from a business template

  Start a simulation from a template for your kind of business (SaaS, manufacturer, services firm, solo consultant, consumer goods with inventory, marketplace, café or shop), with the records and assistant tools that business needs, then grow it into your real business case.

Courses

Short courses on the finance behind a plan, each lesson linked to the formulas the platform uses.

• Finance basics for founders

  Three short lessons on the numbers investors ask about first: burn and runway, break-even and payback, and unit economics. Each lesson links to the exact formula the platform uses.

Formula reference

Every calculation the platform makes, with its formula. Published from the repository's docs/formulas.

• Actual costs and the run-rate

  What the business really spent per month and category, and the monthly run-rate a plan starts from (ADR 80, workflow). Calculated by the engine (calc/actual_costs.py, model actual-costs-1.0.0).

• Forecast formulas

  The forecast turns a company's plan (customers, prices, costs, hires, loans and funding) into monthly revenue, profit, cash and a balance sheet, and from those into runway, break-even and the key ratios investors ask about. This page gives every formula it uses, what each symbol means, when the formula holds and a worked example.

• Pricing simulation

  The pricing simulation answers "how much should I charge for a subscription, and how many customers do I need?". It compares several pricing strategies side by side and shows, for each, what one customer earns, how many customers cover the costs, the month the business makes a profit, the month the money spent is earned back and how much money is needed until then. This page gives every formula it uses, what each symbol means, when the formula holds and a worked example.

• Reports, business plans and variance

  How monthly forecast figures become quarterly and annual statements, how report rows are calculated, how business plan drafts are filled, and how plan and actual figures are compared. This page gives the formulas, what each symbol means, when they hold and a worked example.

• Scenario overrides

  A scenario is the plan's base inputs plus an ordered list of changes ("overrides"), such as "churn 20 % higher from July" or "hire a second engineer in March". Overrides never modify the stored inputs; the engine applies them to a copy for each run, so the base plan and every scenario can be compared side by side. This page gives the formulas for how an override changes a value, what each symbol means, when they hold and a worked example, followed by the catalogue of what can be overridden.

• Simulation formulas

  Some assumptions in a plan are uncertain: churn could be 2 % or 5 %, a hire could start in March or in June. The probabilistic mode runs the forecast many times, each time with different values drawn from the ranges a person gave, and reports how likely a goal is (for example "at least 12 months of runway"), the range of outcomes and which assumptions matter most. This page gives the formulas behind those figures, what each symbol means, when they hold and a worked example.