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Ajay Kulkarni

Co-founder and CEO of Tiger Data (formerly Timescale), a database company focused on Postgres-native features, time-series and AI-native database capabilities.

Top 3 podcasts with Ajay Kulkarni

Ranked by the Snipd community
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45 snips
Dec 18, 2025 • 1h 22min

Agents in the database (Interview)

Ajay Kulkarni, Co-founder and CEO of Tiger Data, discusses his fascinating journey from MIT to leading a database company. He dives into how personal values shape company culture and reflects on the lessons learned from his leadership experiences. The conversation shifts to groundbreaking topics like the role of agents in databases and how they revolutionize workflows. Ajay also highlights the rapid evolution in product development cycles thanks to AI, and offers insights into their innovative CLI and MCP design aimed at enhancing both human and agent interactions.
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44 snips
Dec 18, 2025 • 1h 22min

Agents in the database (Changelog Interviews #671)

Ajay Kulkarni, Co-founder and CEO of Tiger Data, shares his fascinating journey from the dot-com collapse to leading a database revolution. He dives into the dynamics of founder values shaping company culture and discusses the evolution from Timescale to Tiger Data. The conversation takes a thrilling turn as Ajay uncovers how agents are transforming database interactions, allowing for quicker shipping and streamlined workflows. He also talks about the unrealized potential of semantic search and innovations that will redefine developer experiences.
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13 snips
Nov 6, 2025 • 56min

Is Your Database Ready for an Army of AI Agents?

Mike Freedman and Ajay Kulkarni, co-founders of Tiger Data, discuss their innovative creation, Agentic Postgres, a database tailored for AI agents. They explain how traditional Postgres struggles with search and scalability when used by agents and introduce concepts like Fluid Storage for instant database forks. The conversation covers the importance of developer-friendly features and the unique capabilities of their MCP server, which enhances model training while ensuring security. They also touch on using Postgres for unstructured data and the future of database tooling.

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