Quadratic

If you run a small business, your spreadsheet should help you understand your business better, not create more work. That's why Quadratic exists. All you have to do is connect your data, then you can ask Quadratic questions in plain English to better understand your business in minutes instead of hours. See how easy it is to analyze your data in Quadratic with this short video:

@dividendology We’re trying to make spreadsheets fun again 😎 this feature is actually insanely fast I'm glad you tried it!

Amazing work @QuadraticHQ !!

$NVDA REPORTS EARNINGS TODAY- And the AI spreadsheet tool Quadratic makes the analysis incredibly easy. You can ask for real market data, generate Python, and turn prices, fundamentals, technical indicators, and company data into charts and analysis in one spreadsheet. Wow.

@Sir_Seff @RowsHQ @Superhuman We're happy to help you analyze your data!

@RowsHQ @Superhuman does this mean I cannot sign up now because my data might get deleted soon?

Big news: Rows will be joining @Superhuman Over the past 9 years, we’ve worked to make business data easier to connect, analyze, and act on. Now, we’re excited to bring that experience to Superhuman and contribute to building their AI productivity platform at a broader scale. We’re grateful to everyone who built Rows with us, our community, and our team. rows.com/blog/post/rows…

Stop rebuilding the same spreadsheet report every week. With Quadratic, you can build a report once, update the data, and let AI help refresh the analysis. Watch this 4-minute video to save hours of spreadsheet work:

Accounts Receivable aging reports are one of the most important accounting reports, but traditional ways of building these are clunky and time-consuming. With Quadratic, you can connect live to your Quickbooks data and create a custom refreshable Accounts Receivable aging report with AI prompts in basic language. See how here:

In the past, creating Quickbooks reporting required filtering data in Quickbooks, exporting to Excel, cleaning up the spreadsheet, building charts, and repeating. Not anymore. With Quadratic, you can connect live to your data, and build a custom dashboard in minutes with simple prompts that you can refresh anytime you want. Get started with this tutorial:

Extracting PDF data is the worst. Getting the data into a spreadsheet is hard enough, then you're left with a mess to clean up. Not anymore. With Quadratic, you can extract tables from a PDF with simple AI prompts then export to a CSV with two clicks. Get started with this quick tutorial:

The problem with most net worth tracking spreadsheets is that they are inflexible and require constant imports. With Quadratic, you can connect live to your data and use plain language prompts to build a net worth spreadsheet in seconds. And since your connected directly to your finances, you can set up automatic refreshes so your data never goes stale. Watch this short tutorial to get started: youtu.be/Dxkcs2GJFJs

Most people track their finances with numerous banking apps, budgeting tools, and stale spreadsheets. But there's a better way. With Quadratic, you can connect directly to your data, create a custom financial dashboard in seconds, and schedule daily updates so you get new insights into your finances anytime you need it. Watch this tutorial to get started: youtu.be/e1MAZz0XT0E?si…

To be a successful investor, you need a way to evaluate stocks based on key metrics and remove personal bias. That's what a stock screener is for. A stock screener allows you to filter and evaluate stocks based on criteria like market cap, P/E, and other key financial metrics. The problem with most stock screeners is they are rigid, non-customizable, and may require additional work to pull in the data you need. Enter Quadratic. With Quadratic, you can pull in stock and financial data in seconds and build a custom stock screener with the criteria and layout that works for you. Here's how: youtu.be/8ZSP9adbgVw?si…

The old way to analyze stock market data meant CSV downloads, spreadsheet plugins, or stitching together market APIs yourself. With Quadratic, you can pull market data directly into a spreadsheet, format it into clean tables, and start analyzing with AI, Python, formulas, and charts immediately. Watch this short video to see how: youtu.be/hPXmQ_BA0aw?si…

Analyzing stock market data just got easier. Check out our new demo showing how easily you can retrieve market data, analyze it, and create charts with just a few simple prompts. Watch here: youtu.be/yDiHoyZ3xEQ?si…

See how it works: quadratichq.com/connections/st…

Stock analysis shouldn’t require five different tools. You can now use Quadratic to ask for real market data in plain language, generate Python automatically, and turn prices, fundamentals, financial statements, and technical indicators into charts and analysis inside one spreadsheet. No API keys. No plugins. No external setup. Just open Quadratic and start analyzing.

Most SaaS tools still assume you have a US bank account. We don’t. You can now pay for Quadratic with crypto. Works globally via @stripe.

This unlocks a whole new way to work with your financial data, making it interactive, explorable, and instantly useful. Connect QuickBooks to Quadratic today here: quadratichq.com/connections/qu…

With the new connection, you can: - Sync live QuickBooks data directly into Quadratic - Analyze revenue, expenses, cash flow, AR/AP within a familiar spreadsheet - Ask AI questions about invoices, bills, customers, and vendors - Build dashboards that update automatically - Combine QuickBooks with CRM, banking, or product data for deeper analysis - Share refreshable reports with your team, no BI setup required

QuickBooks -> Quadratic is now LIVE. Finance and operations teams shouldn’t have to export CSVs, rebuild spreadsheets, or wait on custom reports just to understand how the business is doing. That's why we just launched QuickBooks integration in Quadratic: a faster, more flexible way to turn your accounting data into real insights.

In any one game, anything is possible because the sample size is so small. But keep this post in mind when watching games this weekend to see if Quadratic gets these right!

The top 6 teams that are considered to be “high risk” of an upset are: 1. 6-seed North Carolina 2. 2-seed UConn 3. 6-seed BYU 4. 3-seed Virginia 5. 4-seed Nebraska 6. 5-seed Vanderbilt

We used AI to predict upsets in the 2026 NCAA basketball tournament. Here’s how we did it.