
Chandra | Builder of SmartMaya.AI
21K posts

Chandra | Builder of SmartMaya.AI
@chandrakumar
⚡ Solving my own founder chaos → built @MayaAI245 | Now 300+ tools help biz owners & execs skip the busywork & grow faster | Try 4 Free https://t.co/9AV0Su1vJG







After having weeks of doomsday conversations with some of my smartest friends about AI displacement... I have to wonder: Why is there no standout edtech company synonymous with AI re-skilling? I'm sure folks are trying, but why hasn't there been a break out yet?

Exclusive: OpenAI’s top executives are finalizing plans for a major strategy shift to refocus the company around coding and business users on.wsj.com/3N6CFyr

What if one of the biggest drivers of future economic growth is something we rarely measure: brain health? New research shows how investing in brain capital could improve lives while strengthening economies. Explore the insights. mck.co/4rqhKV7









This is wild. theaustralian.com.au/business/techn…

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 Q1 termination notice if the language is close enough. A friend of mine asked his AI about a contract last week, and it returned a detailed, perfectly crafted answer pulled from a completely different client’s file. Once you’re dealing with 10M+ documents, these mix-ups happen all the time. VectorDB accuracy goes to shit. We built @hydra_db for exactly this. HydraDB builds an ontology-first context graph over your data, maps relationships between entities, understands the 'why' behind documents, and tracks how information evolves over time. So when you ask about 'Apple,' it knows you mean the company you're serving as a customer. Not the fruit. Even when a vector DB's similarity score says 0.94. More below ⬇️

After a decade, the term "Krishnayil" is back in Chennai. It referes to kerosene oil, in the so called Madras Tamil.




