The AI-native spreadsheet — built-in data sources, AI formulas, and shareable interactive dashboards.
Rows reimagines the spreadsheet as an AI-first data product. Native integrations pull live data from Stripe, HubSpot, Google Analytics, and 50+ sources directly into cells. AI functions run GPT-powered operations across columns — classifying, extracting, summarizing, and generating text at row scale. The result is an active, shareable dashboard rather than a static file.
Rows positions itself as the next evolution of the spreadsheet — one where data arrives live from connected sources, AI operates at column scale, and the output is a shareable interactive dashboard rather than an email attachment. The platform's built-in integrations (Stripe, HubSpot, Google Analytics, PostgreSQL, and 50+ others) let teams build live data views that update automatically without manual CSV exports. AI functions like =AI.EXTRACT(), =AI.CATEGORIZE(), =AI.SUMMARIZE(), and =AI.SENTIMENT() bring GPT-powered operations to every cell — classify thousands of support tickets by category, extract structured data from unstructured text fields, or summarize customer feedback at scale. The 'AI Analyst' feature answers plain-English questions about your data with generated charts and summaries. Published dashboards are shareable via link with configurable permissions — stakeholders see an interactive report without needing a Rows account. The free plan supports 2 users and basic features; the Plus plan at $59/mo unlocks AI functions, live integrations, and dashboard publishing for teams. For operations, growth, and finance teams that live in spreadsheets but need the power of a BI tool and the flexibility of AI, Rows eliminates the need for three separate tools.
Connect Rows to Stripe for MRR, ARR, and churn data and to HubSpot for pipeline and deal data. Build a dashboard that auto-refreshes daily, with AI-generated narrative summaries explaining period-over-period changes. Share with the leadership team via link — they see live data without touching a spreadsheet.
Import thousands of customer support tickets or survey responses via CSV or direct integration. Use =AI.CATEGORIZE() to tag each row by issue type and =AI.SENTIMENT() for tone. Build a pivot summary showing volume by category and sentiment trend — in minutes, without manual tagging.
Connect Google Search Console and Analytics as live data sources. Use =AI.SUMMARIZE() to generate plain-English descriptions of top-performing pages, and =AI.EXTRACT() to pull keyword intent signals from meta descriptions at scale. Refresh weekly and share the dashboard with the content team.
Build a Rows dashboard connected to a client's ad platform or analytics data. Publish it as a shared link with view-only permissions. The client sees a live, polished report that refreshes automatically — eliminating the weekly export, format, and email cycle.
Both add AI formulas to spreadsheets, but Rows is a fully independent platform while GPT for Sheets is an add-on to Google Sheets. Rows includes native live data integrations (Stripe, HubSpot, etc.) and shareable dashboard publishing — capabilities GPT for Sheets doesn't have. GPT for Sheets is better if you're committed to the Google Sheets ecosystem; Rows is better if you want an all-in-one modern spreadsheet with AI built in.
For many teams using BI tools primarily for dashboards and basic reporting, yes — Rows handles live data connections, auto-refresh, and shareable dashboards. For complex data modeling, advanced visualizations, or enterprise-scale reporting with role-based access and audit trails, dedicated BI tools like Tableau or Power BI remain more capable.
Rows Plus ($59/mo) includes a monthly AI credit allocation that covers typical team usage of AI functions. High-volume batch processing (tens of thousands of rows) may require purchasing additional credits. Check rows.com for current credit limits, as they are updated periodically.
Yes — Rows supports standard spreadsheet formula syntax compatible with Excel and Google Sheets. Functions like VLOOKUP, SUMIF, IF, and standard math/text functions work as expected. The AI functions (=AI.EXTRACT, =AI.CATEGORIZE, etc.) are Rows-specific additions on top of the standard formula language.