Marcus Eagan

I build NativeLink, which is open source, and a suite of scientific computing tools at Trace Machina for agents and their human collaborators. Our customers process and store several petabytes of data with us, often in air-gapped environments.

I was born and raised in Detroit. My first company was acquired by a router company that is now part of a public company. Afterward, I studied the foundations of Natural Language Processing (now broadly referred to as AI) at the University of Michigan, built a zero-to-one product at Lucidworks, a one-to-two product at MongoDB, Atlas Search, and a zero-to-one product at MongoDB, Atlas Vector Search, from an idea I pitched in an interview in 2020 to hundreds of customers.

I am an Apache Committer to the Solr project, mainly in developer experience and security features. I advised MongoDB, and now I advise Weaviate, a vector database. I am an affiliated scholar at UC Law San Francisco. I am an angel investor in roughly 50 companies, and some of them will have IPO'd by the time you read this biography.

I played hockey poorly as a kid, won LEGO competitions, and was a foster parent for four years to high-risk youth in the Bay Area. I live in San Francisco, I lived in New York for a few years, and my favorite place to be is wherever my loved ones are.

I first learned to code at 11 years old in the DAPCEP program in Detroit, while my older brother was studying Computer Engineering at Wayne State. I am passionate about funding similar opportunities for youth all over the world.

My favorite books that are not of spiritual importance to me:

The music of John Coltrane, Bill Evans, and countless others steers me through the stormiest journeys.

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