**Jupyter is used by millions** of data scientists and analysts but it has _many_ problems. **Pretzel fixes Jupyter's problems** with native AI-tooling, collaboration, modern code-editing features, native SQL support and a visual, AI-assisted data exploration and dashboarding suite. **We're two ex-Stripe founders**. Prasoon worked as a Data Scientist at Stripe, Goldman Sachs and Klarna for over 7 years. We recently launched on GitHub and got **1000 GitHub stars in two weeks**, 500+ DAU, usage at large companies like Stripe and Bayer and 7 new code contributors.
Prasoon worked at Stripe, Goldman Sachs and Klarna for over 7 years as a Data Scientist, building ML models and analytics for Stripe's payment fraud, Klarna's US credit market and Goldman's market risk data. He graduated from IIT Roorkee in India with a degree in Applied Maths.
Ramon was an Engineer at Stripe and Klarna and was the first Lead at 2 early stage startups. First line of code in SaaS (startups), releasing new products to consumers (Klarna app) and big integrations with Enterprise (Stripe). He holds a MSc in Autonomous Vehicles Dynamics and Control from Cranfield University.
Hey everyone! We're Prasoon and Ramon from Pretzel AI, and we're building the modern Jupyter Notebook that fixes many longstanding problems with Jupyter. Pretzel improves on Jupyter with native support for AI tools like GitHub Copilot and LLMs, built-in collaboration (think Google Docs), an IDE-like code-writing experience (think VSCode), native support for SQL and Python, reactivity (so your notebooks are reproducible) and a visual data exploration and dashboarding suite. Best of all, we are fully open-source.
As our first product, we’ve built just one feature Pretzel: a visual data exploration tool that runs locally in the browser. See demo below or check us out on GitHub!
Jupyter Notebook started in 2011 as a nicer, interactive way to work in Python. At the time, it was the best interactive tool to work with data really popular! It’s currently used by millions of data scientists and analysts everyday.
Despite it’s popularity, there are many longstanding problems with Jupyter:
We're building Pretzel to address these pain points by building the notebook experience for the modern day. Here's what makes Pretzel special:
💡 What Are We Doing Differently?
Other tools like Hex have tried to fix problems with Jupyter. While Hex is a great product, it has been unable to displace Jupyter as the de facto data tool. Why? Because Open Source = Distribution and closed source tools have failed at distribution.
With Pretzel, we tap into the same distribution mechanics as Jupyter to become the new de-facto data tool. With our free and open-source approach:
We plan to monetize via cloud hosting and enterprise features (like SSO, compute, single-tenancy hosting, local LLM support etc).
We'd love to get your feedback on Pretzel and the features you would like to see! Email us at founders [at] withpretzel [dot] com or talk to us on GitHub.
Here’s a silly photo of us to wrap up the post :)
Happy data wrangling!