Nishkarsh
@contextkingceo
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Founder @Hydra_DB
San Francisco
Joined August 2020
We've raised $6.5M to kill vector databases. Every system today retrieves context the same way: vector search that stores everything as flat embeddings and returns whatever "feels" closest. Similar, sure. Relevant? Almost never. Embeddings can’t tell a Q3 renewal clause from a
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i think most companies are still thinking humans will be the first users of their products. a friend from a fintech company told me about how they are internally thinking of their gateway to be agent-first where the assumptions have shifted to (observe) buying, selling, and
So what does @Razorpay look like in the agentic era? We started with the basics at FTX’26. • onboarding handled by an AI agent (~3 mins) • integration created from a prompt (~2 mins) • d̶a̶s̶h̶b̶o̶a̶r̶d̶ just talk to an agent for everything The first agentic fintech
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AI is getting smarter, but one challenge still slows many systems down, memory. Most AI tools are great at generating answers, but remembering and organizing large amounts of information in a meaningful way is a much harder problem. As datasets grow into millions or even billions
Memory isn’t just a feature in AI, it’s the difference between a system that responds and one that truly understands. In the first episode of The Long Walk, @kamath_sutra and I dive into how memory is shaping the next generation of voice agents, and why it’s becoming critical
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time to replace mem0
We've raised $6.5M to kill vector databases. Every system today retrieves context the same way: vector search that stores everything as flat embeddings and returns whatever "feels" closest. Similar, sure. Relevant? Almost never. Embeddings can’t tell a Q3 renewal clause from a
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Whenever someone asks me how do you feel about being a solo founder I’ve always thought back to moments where I’ve had friends like Josh always supporting and in my corner. I’ve never actually felt “solo”. Thank you Josh!
// there are moments when breakthroughs shape entire markets and the way we work with technology we've seen similar inflection points from the birth of the Internet to the conception of LLMs and then autonomous agents > and I believe we're witnessing a pivotal one here I've
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20 hours later still trending on top
We've raised $6.5M to kill vector databases. Every system today retrieves context the same way: vector search that stores everything as flat embeddings and returns whatever "feels" closest. Similar, sure. Relevant? Almost never. Embeddings can’t tell a Q3 renewal clause from a
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Steve would be proud
the ‘apple’ analogy isn’t stressed enough. be it any modality (especially voice), the semantic meaning over the context is most crucial. given memory ai space is already populated, i think this architecture is unique to push the frontier. last time i met nishkarsh in blr - he
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Sometimes you see a new technology so disruptive that it can kill an entire industry. Hydra DB is not just the replacement for a vector DB but will also completely change how the world thinks of databases. Congrats on the raise!
We've raised $6.5M to kill vector databases. Every system today retrieves context the same way: vector search that stores everything as flat embeddings and returns whatever "feels" closest. Similar, sure. Relevant? Almost never. Embeddings can’t tell a Q3 renewal clause from a
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Knowledge graphs win every single time. Before embeddings and similarity search, knowledge graphs were a game-changer. They are now going to win again. Similarity is not relevance. It never was. If you want relevant search results, you can't rely on similarity alone.
We've raised $6.5M to kill vector databases. Every system today retrieves context the same way: vector search that stores everything as flat embeddings and returns whatever "feels" closest. Similar, sure. Relevant? Almost never. Embeddings can’t tell a Q3 renewal clause from a
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guys i think the launch worked
been building in this space for years now, and have followed nishkarsh for years as well - congrats on the launch! since this is in the same space we're building in, i dived deep into it and have thoughts. the launch itself is very hype-y, and is meant to trigger rage bait 1.
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I still remember writing an email to @vaibhavbetter at 2am asking him if he could (please) invest in our company because my conversation with Vaibhav was one of the best conversations I had in our early days of raising!
@contextkingceo A lot of Better portcos are going to love this Nish — sending your way! Congrats on the launch. 🚀
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We've raised $6.5M to kill vector databases. Every system today retrieves context the same way: vector search that stores everything as flat embeddings and returns whatever "feels" closest. Similar, sure. Relevant? Almost never. Embeddings can’t tell a Q3 renewal clause from a
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If your AI agents keep retrieving the wrong context, explore HydraDB: https://t.co/jCwCopD423 Grateful to our investors who backed this vision: @Sky9Capital, @JeffDean, @gokulr, @shyamalanadkat, @klyap_, @0xJsum, @laura_yao, @caldbeckj, @anshulbhide, and @SeanZCai.
hydradb.com
Context infrastructure that makes your AI intelligent, stateful, and amazing.
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We are excited to welcome Nishkarsh Srivastava @contextkingceo Founder & CEO of Cortex AI. Nishkarsh sold his first company at 19. He has previously worked with @Stanford researchers and has built search engines for different modalities. Nishkarsh is now fixing the most
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Part 2 of The Long Walk is out. In the last episode, we explored how Voice AI is actually built and what makes it feel truly human. I break it down with @kamath_sutra from first principles, explaining how memory sits at the core of building more natural voice interactions. In
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🔥 Early-bird tickets running out in 48 hours! AI+ Renᴬᴵssance Summit | 📅 March 15 |📍SF Join now 👉： https://t.co/x1L8oOVB8G Collaborations: team@aiplus.dev On the Sunday before NVIDIA's GTC, AI+ Renᴬᴵssance Summit will bring together: - 20 founders / CEOs from top AI
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Good luck to those who follow
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