18, Founder of Mantle (YC F25), ZFellow, Neovim enthusiast
Previously:
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Youngest Google grantee at 17. I used the GCP grant to build Gakudan, a multi-agent protocol that let agents:
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Think of a question from different perspectives
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Discuss, see other opinions from self building RAG
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Conclude agentically
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Hedge fund data processing: built options order-book pipelines over TBs of data. Sped up the old system ~8x.
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My Neovim config grew to 280+ stars. It was the #2 biggest Neovim config until a month after release.
Tech from ideas I tried but that didn't pan out
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Our own voice AI server, with latency similar to a local LiveKit setup
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Weighted cosine similarity search: cluster-based weighting of vector dimensions for query vectors
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A collaborative multi-agent protocol for agent-native knowledge systems
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Agents discuss millions of tokens of context to find the best shape and structure for knowledge
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Once the structure is decided, they write, iterate, and collaborate on the context
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This worked well but was very token-expensive. It was inspired by Gakudan.
I am always happy to talk about anything and everything interesting.
I am especially interested in new approaches to RL and knowledge representation.
email: samrath at mantle dot work
twitter: @samrathchadha
linkedin: in/samrathchadha