Introducing Hemrock hosted models

For 25 years I've shipped financial models as spreadsheets. Every cell open, every formula and assumption open for inspection and customization. Built to edit.

Today I'm introducing a model that lives in your browser. the Fund Economics Tool is now a hosted web model alongside the downloadable spreadsheet. See the demo.

The web surface gives you the same fund-economics math as the spreaadsheet: set fund size, average investment size, follow-on allocation, expected return multiples, gross and net multiple and IRR, TVPI, and more. What it adds are things a hosted model can do easier than a spreadsheet.

• Make iteration faster. Auto-save, multiple saved funds and scenarios, switch between strategies from a dropdown.
• Make sharing easier. Public read-only share links for LPs or private links with an access code. Send the link by email straight from the tool.
• Make scenarios live. A Scenarios tab with named cases (Conservative, Base, High) and a Monte Carlo simulation, all reconciling back to your live inputs.
• Make concentration analysis visible. A return-the-Fund analysis that shows the required exit multiple and required exit valuation per company, so you can sanity-check whether your fund can plausibly fund-return on one win.
• Ask AI to check your inputs. Use the Ask AI feature on the web to analyze your inputs, provide benchmarks, suggest a, and change your assumptions.
• Make multi-user editing optional. A separate add-on lets a co-GP, fractional CFO, or LP advisor edit alongside you. One purchase, invitees edit for free, up to 5 collaborators per model.

The base purchase covers the spreadsheet, the hosted version, and read-only sharing. The collaboration license is the only feature sold separately, and only the model owner needs it.

Why now

AI is getting better at financial modeling, and the way you collaborate with AI on a model matters. A spreadsheet on your laptop is a fine place to do that, and the skill files and MCP server keep working there. A hosted model is a better place to do it when you also want to share with an LP, fork from a public sample, or have a fractional CFO edit alongside you without sending versioned files around.

AI is also making it easier to write code to build models. The calculation engine behind the tool is also available on Github and via an npm package. Download the code and run the model in your browser locally. Use the packaged UI or build your own. Install the npm package into your own code and modeling tools. Free for a single fund management company to use in their own internal tooling, service providers and SaaS use cases need a commercial license.

Proven model structures, every cell open, every assumption editable, with whatever surface is right for the work you're doing. See the demo, get the Fund Economics Tool, or contact me if you want help using it with your fund.