rushil
19 posts


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 ⬇️

🚨 BIG INTERVIEW: Heads of the SEC and CFTC join the All-In Pod! @SECPaulSAtkins and @ChairmanSelig join @Jason and @chamath to discuss: -- Fixing the IPO drought -- Making private markets more accessible -- Prediction markets and the "insider trading" question -- Top priorities for 2026 -- AI trading bots and autonomous hedge funds -- Crypto classification -- Biggest risks (0:00) Jason and Chamath welcome SEC's Paul Atkins and CFTC's Michael Selig (0:53) Atkins on how US markets have changed over his 40 year career (3:04) Top priorities across both agencies: Fixing the IPO drought, crypto regulation, cutting unnecessary rules (8:16) AI trading bots, autonomous hedge funds, and investing with leverage (15:30) Ending the "Turf War" between the SEC and CFTC, super app vision (19:15) Prediction markets, insider trading, gray area (26:56) Trump advocates for changing quarterly earnings to bi-annual (30:30) Changing the accreditation rules a priority for 2026 (34:56) HFT firms that dominate the futures markets, swap reporting (40:36) VC fund formation (46:18) US markets vs the world, crypto classification (52:54) Biggest risks: Market manipulation, crypto scams, and the Gen Z gambling crisis






