Clean Data, Clear Insights

Stop wrestling with regex and documentation. Let InstaPrompt handle the tedious parts of data science.

Data science is 80% cleaning and 20% analysis. But what if you could speed up that 80%? From crafting complex regular expressions to documenting your preprocessing pipeline, AI can be a powerful accelerator.

InstaPrompt brings the power of LLMs directly to your browser, helping you solve coding challenges and explain your findings without context switching.

The Data Dilemma

๐Ÿงน Messy Data

Writing custom parsers and regex for every new dataset is repetitive and error-prone.

๐Ÿ“ Documentation

Explaining your methodology and code to stakeholders often takes a backseat to coding.

๐Ÿง  Complex Algorithms

Quickly recalling the syntax for specific libraries or statistical tests can break your flow.

How InstaPrompt Helps

๐Ÿ” Regex Generator

Describe what you want to match (e.g., "dates in YYYY-MM-DD format") and get the regex instantly.

๐Ÿ“„ Code Explainer

Highlight a complex block of pandas or SQL code and ask AI to "Explain this step-by-step".

๐Ÿ Syntax Helper

Forget how to do a specific join? Just type "pandas left join syntax" and get a snippet.

Real-World Examples

Generating Regex for Data Cleaning

Prompt:
"Write a regex to extract email addresses that end in .edu from a text string."
InstaPrompt Output:
[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.edu
Workflow: Type prompt โ†’ Choose "Generate Code" โ†’ Copy regex

Explaining SQL Queries

Selected Code:
SELECT c.name, SUM(o.total) FROM customers c JOIN orders o ON c.id = o.user_id GROUP BY c.name HAVING SUM(o.total) > 1000;
InstaPrompt Explanation:
"This query retrieves the names of customers who have spent more than 1000 in total. It joins the customers and orders tables, groups the results by customer name, and filters for sums greater than 1000."
Workflow: Select query โ†’ Choose "Explain Code" โ†’ Paste in docs

Key Features for Data Pros

  • Jupyter Support: Works within Jupyter Notebooks running in the browser.
  • Privacy Focused: Your proprietary data and code snippets aren't stored on our servers.
  • Multi-Language: Support for Python, R, SQL, and Julia.

Optimize Your Pipeline

Spend less time cleaning and more time discovering.