
 A Product Market Fit Show | Startup Podcast for Founders He built a new database in his bedroom—now he powers Cursor, Notion and Anthropic. | Simon Eskildsen, Founder of turbopuffer
 Oct 30, 2025 
 Simon Eskildsen, the founder of TurboPuffer and a former Shopify infrastructure engineer, discusses his journey of creating a cost-effective vector database. He reveals how he helped Cursor cut their costs by 95% within a week by migrating their entire workload. Simon emphasizes the importance of being willing to fly to customers and shares the exhausting 24-hour coding sprints that won over Notion. He also outlines his six reasons for considering fundraising and why he prefers staying profitable with a small team instead of raising unnecessary capital. 
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Vectors Are The New Search Layer
- Vectors are high-dimensional coordinates that let AI find similar content for search and recommendations.
 - Storing these vectors efficiently is essential because they are larger than the original data and very costly to host.
 
Trade Latency For Massive Cost Savings
- Putting cold data on S3 makes storage two orders of magnitude cheaper than RAM.
 - You can accept slower write latency to S3 and puff hot data into RAM on demand for low query latency.
 
Two Essentials To Build A Database Company
- Building a generational database needs a new workload and novel storage architecture.
 - AI-connected search (vectors) plus S3-backed storage creates that combination.
 

