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    Home»Software Engineering»Turbopuffer with Simon Hørup Eskildsen
    Software Engineering

    Turbopuffer with Simon Hørup Eskildsen

    big tee tech hubBy big tee tech hubOctober 1, 2025003 Mins Read
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    Turbopuffer with Simon Hørup Eskildsen
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    Vector search has become a foundational technology for AI applications, enabling everything from semantic code search to contextual retrieval for large language models. However, a major challenge with vector databases has been the cost as data storage scales.

    Turbopuffer is a vector database that focuses on speed, cost and scalability. It was created by Simon Hørup Eskildsen and Justin Li in 2023 and has seen adoption from high-profile companies such as Cursor and Notion.

    Simon joins the podcast with Gregor Vand to discuss the origin of turbopuffer, its unique technical design, the economics of vector storage, and more.

    rectangle 3 3Gregor Vand is a security-focused technologist, and is the founder and CTO of Mailpass. Previously, Gregor was a CTO across cybersecurity, cyber insurance and general software engineering companies. He has been based in Asia Pacific for almost a decade and can be found via his profile at vand.hk.

    Capital One’s tech team isn’t just talking about multi-agentic AI.

    They already deployed one.

    It’s called Chat Concierge, and it’s simplifying car shopping.

    Using self-reflection and layered reasoning with live API checks,
    It doesn’t just help buyers find a car they love.

    It helps schedule a test drive, get pre-approved for financing, and estimate trade-in value.

    Advanced, intuitive, and deployed: that’s how they stack.

    That’s technology at Capital One.

    redis logo

    Building agentic AI apps isn’t just about choosing the best LLM.

    Agents need short‑term memory, long‑term recall, and lightning‑fast retrieval. Without it, you’re left with clunky prototypes that never scale.

    You know, Redis? The world’s fastest caching solution?

    It turns out fast data is the key to good context. And good context is essential for fast, accurate memory. It’s what makes AI agents actually work with your data.

    Redis for AI. The right infrastructure. The right tools. The only way to scale.
    Learn more at redis.io/genai

    stream logo

    Building an app often feels like a balancing act. You want to ship features fast – chat, activity feeds, moderation, video. But building them from scratch is slow and complex.

    That’s where Stream comes in. Stream provides developer-friendly APIs that let you add real-time communication without reinventing the wheel.

    Why Stream?

    First, developer experience. Stream has clean, open source SDKs, and great docs, and you can get a proof of concept running in hours.

    Second, speed to build. Experiment, prototype, or launch features quickly – no credit card required to start.

    Stream also scales. Over 2,000 global apps, including Strava, Patreon, Nextdoor, Robinhood, and Peloton, rely on Stream to power in-app communication for more than a billion users.

    Whether you’re a startup or an enterprise, Stream handles the hard parts so you can focus on what makes your app unique. Get started today at getstream.io/podcast.



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