Common pain points we kept running into:
- Copy-pasting data from PDFs and reports into sheets
- Cleaning and formatting inconsistent exports before any real work can start
- Building multi-sheet financial models that are fragile and hard to change
- Manually wiring spreadsheets to external data sources
Most AI spreadsheet tools try to help by generating text or formulas, but they don’t remove the underlying manual glue work.
We’re building an open-source AI agent for spreadsheets that operates directly on tables and sheet structure.
What it can do today:
- Extract structured data from PDFs into spreadsheets
- Clean and format messy data while keeping it editable
- Build multi-sheet financial models (DCF, LBO)
- Connect and refresh data from external sources
Available on Google Sheets, Excel and as a standalone web interface.
Would love feedback from people who work in spreadsheets daily.
raj_khare•1mo ago
What do you mean by “agent”? Not an autonomous bot. It’s a constrained system that operates over spreadsheet primitives (tables, ranges, dependencies) with explicit actions.
How is this different from Copilot / formula generation? Most tools generate formulas or text and stop there. This operates on sheet structure directly — extraction, normalization, multi-sheet modeling — and leaves behind editable, inspectable spreadsheets rather than opaque outputs.
Why not Excel + Python? That works well for some workflows, but many users want everything to stay inside the spreadsheet execution model where recalculation, auditing, and collaboration already live.