Rows

Rows was a web-based spreadsheet and data analysis platform built around live business data. Rather than treating a spreadsheet as a static document, it connected tables to external services, refreshed data automatically, and let users turn the results into reports, dashboards, forms, embeds, and API outputs.

The platform’s AI Analyst added natural-language assistance to this workflow. Users could ask it to interpret spreadsheet data, create or modify tables and formulas, summarize trends, generate charts, identify outliers, forecast results, or perform what-if analysis. This made Rows closer to a lightweight analytics and automation workspace than to a conventional spreadsheet alone.

There is an important current-status qualification: Rows announced that it would join Superhuman and that the Rows product would fully wind down on May 31, 2026. As of October 7, 2026, it should be regarded as retired and unavailable, even if some historical pages remain accessible.

What Rows was designed to do

Rows was aimed at business teams, analysts, marketers, finance professionals, founders, and operations users who already worked in spreadsheets but needed more connected data and repeatable reporting. A typical workflow began with importing a file or connecting a service. The user could then clean or enrich the data, add formulas and calculated columns, build pivots and charts, and publish the result as a dashboard or shared spreadsheet.

Its main distinction was the combination of spreadsheet interaction and external data connectivity. Users could work with data from advertising, marketing, CRM, analytics, finance, and database systems in one spreadsheet-oriented environment. Historical integrations included Google Analytics 4, Google Ads, Google Search Console, Facebook Ads, LinkedIn Pages, Salesforce, HubSpot, Stripe, Snowflake, BigQuery, MySQL, PostgreSQL, Airtable, Google Sheets, Slack, Mailchimp, and custom HTTP APIs.

AI Analyst and data workflows

The AI Analyst was intended to help users work directly on spreadsheet data rather than conduct open-ended chat. It could answer questions about tables, summarize or classify information, suggest or create spreadsheet structures, help fix formulas, generate charts, and examine trends. Rows also described support for forecasts, anomaly checks, joins, pivots, and what-if analysis.

This approach differs from a general-purpose chatbot because the AI was tied to the workbook and its structured data. It was also different from a full enterprise business-intelligence platform: Rows emphasized a flexible spreadsheet interface and no-code workflows, while larger BI systems generally provide deeper governance and more specialized reporting infrastructure.

Rows supported file uploads and data extraction workflows involving formats such as CSV, XLS, XLSX, PDF, and images. Its integrations page also described AI-assisted extraction and analysis of web content, Python support, translation integrations, and connections to services such as Google Translate, DeepL, and Microsoft Translator. These were supporting capabilities around the spreadsheet workflow rather than the product’s primary purpose.

Automation, dashboards, and publishing

Rows used Data Tables to bring structured information into spreadsheets and refresh it manually or automatically. Historical paid plans increased the frequency of refreshes, with daily automation on Plus and minute-level automation on Pro. Users could use the refreshed data to maintain recurring marketing, SEO, sales, finance, or operational reports.

The resulting work could be shared through collaborative workspaces, public spreadsheets, dashboards, calculators, questionnaires, forms, embeds, or the Rows API. HTTP functions and API connectivity made it possible to read from and write to external services, although the platform was still centered on spreadsheet-based work rather than autonomous software agents.

Who Rows suited

• Analysts and operations teams: useful for combining structured data sources and producing recurring reports without building a custom application.
• Marketing and growth teams: suitable for bringing advertising, search, social, and web-analytics data into shared reporting workbooks.
• Finance and business teams: helpful for spreadsheet-based analysis, calculations, forecasts, dashboards, and scenario planning.
• Founders and smaller teams: offered a no-code way to connect services and publish lightweight internal or external tools.

Users seeking a currently available spreadsheet product should not choose Rows, because the product was scheduled to wind down. For readers comparing the historical product category, current tools such as Airtable and Hex illustrate adjacent approaches: Airtable is more database- and application-oriented, while Hex is more analytics- and notebook-oriented. Julius AI is another relevant comparison for AI-assisted data analysis, although it is not the same product type.

Pricing and access

Rows historically offered a free-forever plan, but that access should not be interpreted as an active current offering. The historical Free plan included five AI Tasks per month, manually refreshed Data Tables, ten integration accounts, up to three guests, 500 monthly cell-enrichment tasks, 500 Rows API calls per month, and a 1 MB file-import limit.

Historical paid pricing listed Plus from $8 per user per month and Pro from $79 per month plus $8 per user per month when billed monthly. Annual pricing was listed at $6 per user per month for Plus and $59 per month plus $6 per user per month for Pro. Enterprise pricing was custom. Paid tiers increased AI-task allowances, Data Table automation, integration capacity, and API limits. These prices are historical and are not a basis for purchasing the retired service.

Limitations and data considerations

The shutdown is the decisive limitation. Rows is not a practical choice for a new production workflow, and historical availability does not guarantee that workspaces, integrations, APIs, or stored data remain accessible after the wind-down.

Rows was primarily browser-based and had no verified native mobile or desktop application. Advanced refresh schedules, higher API limits, and larger-scale collaboration required paid plans. The complete list of underlying AI models was not disclosed; Rows stated that it used a combination of OpenAI GPT models, Llama, and other large language models.

Rows stated that Rows AI did not use customer data to train models for others. That historical statement does not establish the current handling, retention, export, or deletion status of data after the product shutdown. Historical materials described version-history limits ranging from seven days on Free to unlimited on Enterprise, but current retention after the wind-down could not be verified.

Bottom line

Rows was notable for putting AI assistance, live integrations, automation, and publishing inside a spreadsheet-oriented workspace. It was a strong example of an AI-enhanced operational spreadsheet for teams that needed connected reporting and lightweight data applications. However, because the product was scheduled to fully shut down on May 31, 2026, it should now be understood as a discontinued platform and a historical reference point rather than a current tool to adopt.