Jeremy Suh is a San Francisco-based software engineer and co-founder who built Browser Buddy - an AI-powered recommendation engine for high-quality internet writing - through Y Combinator's Winter 2024 batch. Exa, the AI search infrastructure company redefining how developers access web data for LLMs, acquired Browser Buddy in its first-ever acquisition, bringing Jeremy and co-founder Arnav Wadehra onto the team. At Exa, he works on new approaches to retrieval and web organization at a company now valued at $2.2 billion following a $250 million Series C led by Andreessen Horowitz in 2026.
Daniel Svonava is the Co-Founder and CEO of Superlinked, an ML infrastructure company building self-hosted inference infrastructure for vector search and document processing. A Slovak-born engineer and entrepreneur based in San Francisco, he spent six years as an ML Tech Lead at YouTube building ad performance systems powering over $10B in annual ad revenue before co-founding Superlinked in 2021. Superlinked raised a $9.5M seed round led by Index Ventures in March 2024, and the company is on a mission to make vector-based retrieval accessible and production-ready for enterprises.
Mike Tung is the founder and CEO of Diffbot, the company behind the world's largest automated knowledge graph — a continuously-rebuilt database of 10+ billion entities and over a trillion facts extracted from the open web. A UC Berkeley EECS graduate and Stanford AI lab dropout, Tung spent 15+ years building Diffbot with minimal funding (under $15M total) into a platform used by Microsoft Bing, DuckDuckGo, Snapchat, and 400+ enterprises. In January 2025 he launched the Diffbot LLM, an open-source language model grounded in the knowledge graph, achieving top factual accuracy benchmarks among sub-100B models.
Vicki Boykis is a founding ML engineer and one of the most respected voices in applied machine learning. Known for making complex systems legible through rigorous writing and dry wit, she runs the Normcore Tech newsletter, authored a widely-cited deep dive on embeddings, built Viberary (a semantic book recommendation engine), and created Normconf - an unconventional data conference celebrating the unglamorous realities of ML work. She brings an economist's skepticism and a software engineer's discipline to a field that often confuses hype for progress.
ZeroEntropy is the AI infrastructure company fixing the broken retrieval layer of modern AI applications. Founded in 2024 by Ghita Houir Alami (CEO) and Nicholas Pipitone (CTO), the San Francisco–based startup builds rerankers, embedding models, and end-to-end search infrastructure that outperforms Google, OpenAI, Cohere, and Voyage on public benchmarks. Backed by Y Combinator (W25) and a $4.2M seed round led by Initialized Capital, ZeroEntropy's products — zerank-2, zembed-1, zsearch, and ze-onprem — are used by enterprises including Assembled (serving Stripe, Canva, Robinhood, and Notion). The company's proprietary zELO training methodology, derived from chess Elo ratings and the Thurstone statistical model, produces models with calibrated relevance judgments that binary labels cannot replicate.