Welcome back {{First Name| to Prompts Daily}}.
Today, we’re tackling a common frustration: getting insights from data without struggling with clunky spreadsheets or overcomplicated formulas.
The solution?
A browser-based spreadsheet that blends AI, code, and database connections—so you can analyze data at the speed of thought.
What’s in this deep dive?
3 ways Quadratic helps you analyze and visualize data instantly:
Turn raw data into insights with AI
Generate SQL queries without knowing SQL
Create interactive charts and models with code
Let’s break it down.👇
1. Turn raw data into insights with AI
Traditional spreadsheets weren’t built for today’s data needs. They require too much manual work—copy-pasting, cleaning and preparing data, and running formulas. It’s slow and prone to errors.
Quadratic changes that. Here’s how:
Import any dataset (CSV, Parquet, Excel, or database connections)
Chat with your data—ask natural language questions
Let AI generate insights, formulas/code, and data visualizations.
For example, drag-and-drop in customer sales data and ask:
What’s the trend in revenue over the past 6 months?
Which region had the highest growth?
What’s the most common customer complaint?
AI handles the grunt work. You get the insights.
2. Generate SQL queries without knowing SQL
Databases store valuable data, but querying them requires SQL knowledge. If you’re not a developer, that’s a roadblock.
Quadratic fixes this with AI-powered query generation:
Connect databases (PostgreSQL, MySQL, Snowflake, etc.) and APIs
Describe what you need in plain English
AI generates the SQL query for you
Example:
“Show me total revenue by product category for the last 12 months.”
Quadratic converts that into an optimized SQL query, runs it, and returns the results in a clean spreadsheet format.
No SQL? No problem.
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3. Create interactive charts and models with code
Spreadsheets are great for organizing data, but limited in visualization. Quadratic solves this by letting you embed Python, SQL, and JavaScript directly inside your spreadsheet.
That means:
Use Python for data analysis, machine learning, and forecasting
Use SQL to manipulate datasets from multiple sources
Use JavaScript to build custom visualizations and dashboards
Example:
Load sales data into Quadratic
Run a Python script to predict next quarter’s revenue
Generate an interactive chart to visualize trends
No need to switch between Jupyter, Excel, and BI tools. Everything happens inside one AI-powered spreadsheet.
Why Quadratic?
Unlike traditional spreadsheets, Quadratic is built for speed and scale:
✔ Native code support: Write or generate code for more complex analysis without relying on formulas.
✔ Multiplayer mode: Collaborate in real-time like Google Sheets.
✔ Secure & Compliant: SOC 2 (Type II) & HIPAA certified.
✔ Self-hosting available: Deploy on your own servers.
Hope this helped you see how AI-powered spreadsheets can transform how you work with data.
Thanks to Quadratic for sponsoring today’s newsletter.
See you in the next deep dive! 🚀
That’s all, team!
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Let me know which tool I should do a deep dive on next 🧠
That’s it for now 🙂 Stay curious, leaders!
- Mr. Prompts
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