Spreadsheets as Databases and Simulations
Taimur Abdaal, CEO of Causal, on the primitives of financial modelling
The key split is between spreadsheets as lightweight databases and spreadsheets as engines for business simulation. Airtable won the first job by turning rows into records for tracking projects, approvals, and internal tools. Causal was built for the second job, where teams map revenue, spend, headcount, and scenarios into reusable variables, connect live data, and ask what changes next month or next quarter if assumptions move.
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In practice, general productivity work is list making and workflow tracking. Financial modeling work is forecasting cash, comparing budget to actuals, and rolling assumptions forward. Causal says the pain in that second bucket is not sharing a table, it is rebuilding fragile formulas and manual imports every month.
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This is why newer FP&A tools all start from the same complaint about Excel, but split on product design. Pry emphasizes startup planning on top of QuickBooks and Xero. Runway emphasizes collaborative planning across departments. Causal centers on variables and dimensions so complex revenue logic can be modeled without cell by cell sprawl.
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The market consequence is that spreadsheet replacements rarely stay truly horizontal at the start. Airtable found a broad operations wedge. Causal found FP&A first, then expanded into BI and reporting. By 2024, Causal said reporting was a much larger entry point than pure planning, which shows how number work can spread beyond finance once the core model exists.
Going forward, the winning number tools will look less like blank grids and more like shared systems for live business models. The path is clear, start with a concrete wedge such as planning or reporting, connect the accounting and warehouse data, then become the place where each team sees how its actions change the company’s numbers.