Samrith Shankar

Samrith Shankar

Software developer focusing on scale.
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Hyperterse treats data access as declarative infrastructure, rather than existing data tools that rely on insecure Text-to-SQL or tedious manual APIs. Define queries once, and we auto-generate secure Model Context Protocol (MCP) tools and REST endpoints. Standout features include "Security-by-Abstraction" (agents never see raw SQL), automatic input validation, and real-time generation of LLM-friendly documentation. It bridges the "Data Access Gap" for your Postgres, MySQL, and Redis data.
Hyperterse
HyperterseConnect your data to your agents.
Samrith Shankarstarted a discussion

Stop writing MCP boilerplate for your AI Agents.

The "10-to-1" rule says we spend 10x more time reading code than writing it. Yet, when connecting AI agents to databases, we are seeing developers drowning in manual boilerplate—writing endpoints, validation logic, and maintaining llms.txt files just to expose a simple query. We built Hyperterse to kill that toil. Define: A simple config.terse file. Run: A high-performance server. Result:...

Samrith Shankarstarted a discussion

Hyperterse - The production data interface for AI agents

Hey PH! 👋 I’ve been heads-down building Hyperterse, and I’m excited to finally share it with you. We are currently witnessing a massive shift from passive chatbots to active AI Agents. But for these agents to be useful, they need access to your production data, and right now, providing that access is a nightmare. The "Data Access Gap" is real, and it’s expensive. The Reliability Trap: Relying...