Ramp Sheets goes viral: three engineers built an AI spreadsheet tool that got thousands of daily users in its first week
Nov 24, 2025 with Alex Shevchenko & Alex Stauffer
Key Points
- Ramp Labs' three-person team launched Ramp Sheets, an AI spreadsheet tool that attracted thousands of daily users and 2 million impressions in its first week without requiring account signup.
- The product emerged from watching Ramp's own finance team reject automation tools in favor of spreadsheets, signaling that familiar interfaces beat process-mining complexity.
- Early adopters span Wharton students, banks, VCs, and space industry professionals, with near-term roadmap adding shareable links, financial templates, and direct integration with Ramp's transaction data.
Summary
Ramp Sheets, an AI-native spreadsheet tool built by a three-person team at Ramp Labs, generated 2 million impressions and thousands of daily active users within its first week of public availability. The product is accessible at ramp.com/sheets to anyone, not just existing Ramp customers, a deliberate choice to minimize friction and avoid requiring Google or Microsoft account access.
The tool originated as an internal experiment aimed at helping Ramp's own finance team. Early attempts to automate workflows through process-mining and no-code tools like Zapier and Retool were rejected by the finance team as too opaque. Reviewing screen recordings of how that team actually worked, the builders found spreadsheets in nearly every session, which drove the decision to build a familiar grid interface rather than a plugin or automation layer.
Alex Stauffer and Alex Shevchenko, both leads at Ramp Labs, describe the product as sitting outside Ramp's core mandate, an experimental bet on the cutting edge of AI. The positioning is not a direct assault on Excel or Google Sheets but rather a complementary tool, with users expected to export outputs as CSV or Excel files and continue work in existing environments.
Adoption has skewed toward exactly the high-value finance workflows the team targeted. Early users include students and faculty at Wharton, multiple banks, venture capital firms, and professionals in the space industry. A London-based VC was on a call with the team the morning of the interview. Smaller but telling use cases include wedding planning and relocation modeling, pointing to broader consumer traction.
The core value proposition for founders and small business owners is significant. Spinning up a financial model or pro forma in minutes displaces what would otherwise require hiring a consultant, potentially at a cost of thousands of dollars per engagement.
Near-term development priorities include shareable links, which shipped the day of the interview, a library of pre-built financial templates including pro formas and budgeting tools, and a direct integration with Ramp's spend data so customers can pull transaction history directly into Ramp Sheets for analysis.