Math, at scale.
Grids is a cloud calculation platform. The interface is a spreadsheet you already know. The engine runs whatever the math demands — across machines, in parallel, returned to your cells without ceremony.
- 01
Formulas are functions
Cells are variables. Formulas are functions. A workbook is a program — you have been writing them since seventh grade, you just never had a runtime that took them seriously. Grids is the runtime.
- 02
The grid is the engine
Behind every cell is a calculation pool. Formulas fan out across machines, run in parallel, and land back in your sheet as if nothing happened. A million-scenario Monte Carlo, a multi-terabyte join, a recursive option model — the sheet doesn’t know it’s a supercomputer.
- 03
The math doesn’t stop
A hundred-thousand rows. A hundred-million scenarios. The math grows; the grid grows with it. There is no “too big” — only longer or shorter waits, and rarely longer.
You write the math. The grid runs it. Type a formula, press enter, the cloud answers.
Four ways to go deeper.
Each page is one slice of how the conceit becomes real — a different scenario, a different surface of the same product.
A spreadsheet that knows what it's saying.
Type tags, spilling arrays, pipelines, and 496 built-in functions — the surface area, with a hiring rubric to ground it.
Source on the left. A running model on the right.
Parse → AST → model graph → runtime. Three substrates, one language, with a portfolio model running through.
A spreadsheet that fetches the world.
The five external functions, the dirty → ready lifecycle, and one operator that decides whether work is eager or lazy.
Type a sentence. Get a model that runs.
Seven tools for grounding, behavioral verification before return, four surfaces, three providers.