Lev Kokotov

Montana Low and Lev Kokotov, co-founders of PostgresML, share their journey in enhancing machine learning capabilities within the Postgres database. They discuss real-world applications from Instacart, emphasizing the importance of practical, simpler predictive models over complex systems. The duo highlights the shift to Postgres, its advantages in integrating machine learning, and the innovative solutions they developed for performance and scalability. They also unpack the user-friendly features of PostgresML, aiming to make machine learning more accessible for data scientists.

Lev Kokotov, founder of PgDog and previously a database engineer at Instacart, discusses his journey from creating PgCat to developing PgDog, an innovative sharding solution for Postgres. He dives into the challenges of scaling databases without extensive rewriting or extensions. Lev shares insights about applying to Y Combinator as a solo founder and PgDog's unique architecture that enhances query handling across multiple instances. The conversation also touches on future developments and the importance of community engagement in shaping PgDog's features.