Equals replaces spreadsheet-to-dashboard loop
Bobby Pinero, CEO of Equals, on bringing joy to finance teams
The hard part in BI is usually not drawing the chart, it is winning the workflow that comes before and after the chart. Most BI products sit on the same basic layer, they query a database, aggregate rows, and render dashboards, so buying decisions often collapse into features checklists and RFPs. The opening for Equals is to replace the spreadsheet to dashboard loop that analysts still use every day, especially at smaller companies that are not ready to assemble a full warehouse, ETL, dbt, and BI stack.
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Inside many companies, the real workflow is spreadsheet first, dashboard second. Analysts prototype metrics in Sheets or Excel, harden them in Tableau or a similar BI tool, then export data back into a spreadsheet when a number looks wrong. That round trip makes the dashboard system of record, but keeps the spreadsheet as the actual place where thinking happens.
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That is why the market feels crowded. Sigma raised $200M in May 2024 to push deeper into cloud analytics, while ThoughtSpot bought Mode for $200M in July 2023 to combine search style BI with deeper analyst workflows. Even the big moves are converging on the same core job, helping teams query warehouse data and turn it into dashboards.
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The sharper split is not tool A versus tool B, it is BI for data teams versus spreadsheet native tools for finance and ops teams. Vena shows there is real demand for the second camp, reaching an estimated $116M ARR in 2024 by letting finance teams stay in Excel while fixing collaboration and live data access. Equals is pursuing the browser native version of that wedge.
The next phase of the market is likely to be won by products that collapse connectors, modeling, analysis, and sharing into one surface. As warehouses and dashboards become more standard, the strongest differentiation moves up the stack, into who can make a finance manager or operator go from raw Stripe, HubSpot, and database data to a live report without handing the work off to a separate BI team.