Gregor Žunič is a serial founder and full-stack engineer based in the San Francisco Bay Area with six years of hands-on experience building product- and research-driven startups across web3, AI, and developer tooling. He co-founded multiple companies including Browser Use—focused on making websites accessible to AI agents—and led backend engineering work that involved parsing and structuring DOMs for agent consumption using Python and BeautifulSoup. His background spans blockchain engineering (Solidity, EVM), senior frontend/backend roles, and EU-funded research at Jozef Stefan Institute, reflecting a rare blend of academic rigor and product velocity. Gregor has shipped consumer-facing products that reached 100k+ users and contributed to open-source projects tied to AI accessibility workflows, while also interning on Ethereum research at UC Berkeley. He pairs entrepreneurial grit with deep technical curiosity—equally comfortable crafting smart contracts, scaling APIs, or extracting structured data from messy HTML.
6 years of coding experience
6 years of employment as a software developer
Y Combinator
Master's degree Data Science, Master's degree Data Science at ETH Zürich
Physics, Physics at University of Ljubljana, Faculty of Mathematics and Physics
Contributions:13 releases, 2 reviews, 69 PRs in 4 months
Contributions summary:Gregor primarily worked on the back-end functionality of the project, focusing on processing and cleaning HTML content to make websites accessible for AI agents. They implemented a `DomService` class using Python and the BeautifulSoup library to parse, extract, and structure DOM elements. Their contributions included methods to identify interactive and leaf elements, generate XPath expressions, and collect essential attributes. The user also fixed issues related to the `DomService` and implemented javascript to help in checking visibility of elements.
Contributions:8 PRs, 27 pushes, 1 branch in 3 years
portoflioreactjsreactnextjs
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