Every week, Shopify sellers download sales CSVs and Facebook ad reports, then spend hours merging them in Excel just to figure out if they actually made money.
I got tired of that.
So I built Data.olllo
— a local desktop app that lets you open both CSVs, ask an AI assistant things like “calculate profit by campaign per month”, see the code it generates, preview the result, then click “Apply All” to run it safely on your full data. You can even visualize the outcome (income, outcome, profit) as interactive bar charts and save the whole workflow to rerun next week — all locally, no cloud uploads.
It turned what used to be a 2-hour spreadsheet task into a 10-second repeatable workflow.
I’d love feedback from the HN community — on the product, workflow design, or how to make the AI assistant smarter for real-world data tasks.
So I built Data.olllo — a local desktop app that lets you open both CSVs, ask an AI assistant things like “calculate profit by campaign per month”, see the code it generates, preview the result, then click “Apply All” to run it safely on your full data. You can even visualize the outcome (income, outcome, profit) as interactive bar charts and save the whole workflow to rerun next week — all locally, no cloud uploads.
It turned what used to be a 2-hour spreadsheet task into a 10-second repeatable workflow.
I’d love feedback from the HN community — on the product, workflow design, or how to make the AI assistant smarter for real-world data tasks.