Business Planning Models

What it is

Two Python models that compute growth and exit scenarios and a month-by-month 90-day and May 2027 plan from one shared inputs.json (prices, firm shapes, uptake and costs), then render branded HTML and PDF documents. Every figure printed is computed in the build and written to a model JSON, and the build fails if a page overflows.

The problem

Planning decks with hand-typed numbers go stale and contradict each other as assumptions change.

How it works

1. exit-100m holds the scenario model (model.py, inputs.json) and the HTML and PDF builder.
2. path-to-1m reads the same inputs plus a path.json of monthly targets, launches, channels and gates.
3. Outputs a path_model.json with per-month MRR, ARR, costs and cumulative net.

Stack

Disciplines

For your business

Assumption-driven financial models that regenerate every chart and table in a client's planning documents from one input file.