Meet the founder behind Julius AI

Early Days

Rahul studied Computer Science at the University of Texas at Dallas, graduating in 2019.

After College, he started working on a startup called Waterview that launched in 2017 and eventually shut down. When Waterview shut down, Rahul began working on a new idea; a startup designed to track trucks and have logistics software. This startup was strong enough to get him into Y Combinator in 2022.

Meanwhile, the same day when Elon Musk's Twitter takeover led to mass layoffs, a prank was pulled which turned into a viral story online. On this day Rahul declared himself a laid off Twitter engineer under the joke name Rahul Ligma.

When LLMs became powerful enough to build new kinds of products, everything changed. Rahul was going to give himself roughly a year and a half to work on something in AI. This brought him to Julius.

Building Julius

Julius AI debuted back in 2023. In the early days of the launch, it was pitched as Code Interpreter, an early killer feature from OpenAI, just built specifically for data analysts and finance people rather than data scientists in general.

He targeted people already incorporating ChatGPT plugins (before their replacement by GPT-4 incorporating support for code interpreter) rather than creating audience from scratch. That one channel gave him his first ten thousand users.

Subsequently, everything progressed rapidly. Ten months after launch, Julius reached 300,000 users.

When the app was most active it was writing and running an over a million lines of code every two days. About one and a half year, it crosses two million users.

He concentrated on becoming the best at one thing: AI-assisted data analysis. This more focused approach is the reason why users perceive Julius as an authentic solution for manipulating data, rather than another model wrapper.

Providing a browser for Julius.

Julius is no longer just a data analyzer tool.

To enable Julius to take actions instead of just answering questions, the company created a Browser Agent - called the Web Connector - built with Browserbase. Recently, users can assign specific tasks to the various models available, with xAI's Grok now an option.