v0.1.1

Documentation and metadata only. Homepage now points at the project page; the README states the positioning line verbatim. No change to any calculation.

v0.1.0

First release.

Startup valuation methods as auditable code. The pre-revenue methods angel groups
actually use live in textbooks and spreadsheets but not in maintained software, and
every commercial tool that implements them keeps the arithmetic closed.

Eight methods, each implemented from its published description and citing it:
Berkus, Scorecard, Risk Factor Summation, the VC Method, First Chicago, and
EV/ARR, EV/Revenue and EV/EBITDA multiples.

• Every result carries its steps, assumptions, limitations and sources — a valuation
  nobody can check is not worth defending
• A readiness layer answers what usually comes first: which methods your data
  supports, and which missing fact would unlock the most
• Method constants are constructor arguments, not magic numbers
• Market data arrives through a provider you supply. The shipped figures are labelled
  placeholders, and any result that consults them says so
• An MCP server, so a model can do the reading and the library the arithmetic

Extraction is probabilistic; arithmetic should not be.

309 tests, no runtime dependencies. Every documented example is executed by the
test suite. Not investment advice, and not a 409A valuation.

pip install openvaluation