// 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 had the privilege of knowing @contextkingceo living together at the @mission__ctrl hacker house. very few founders think this deeply about where AI systems actually break once they leave the demo phase vector search helped bootstrap the first wave of RAG that extended the use of agents into every domain/industry but at real scale, with millions of documents, evolving workflows, production agents, similarity ≠ truth any autonomous system depends on context to work. but retrieval needs to be grounded in the semantic meaning to be contextually accurate. that's how we as humans work. and that's how AI would need to work alongside humans this means that ontology-first context graphs will be a new core primitive for the AI stack. and as context graphs took over mindshare in the past months, @hydra_db takes a foundational approach to infrastructure supporting this. I host the annual @aiplus_hq AI+ Renaissance conference and spending time with hundreds of frontier teams building agents, multimodal systems, and enterprise AI, this is one of the companies I am most excited about the addressable market here is massive and still largely untapped as AI becomes embedded everywhere we work and live - from b2b systems like CRMs and internal knowledge tools to consumer memory layers in devices and everyday apps - this category will only grow in importance huge congrats to Nishkarsh and team, and proud to be an angel investor one of the highest-leverage infra bets I’ve seen in recent times still very early to the market and already dominating. hail hydra.