Show HN: I wrote a GPU-less billion-vector DB for molecule search (live demo) https://bit.ly/4eHxXk5

Show HN: I wrote a GPU-less billion-vector DB for molecule search (live demo) Input a SMILES string (or pick one molecule from the examples) and it returns up to 100k molecules closest in 3-D shape or electrostatic similarity – from 10+ billion scale databases — typically in under 5-10 s. *Why it might interest HN* * Entire index lives on disk — no GPU at query-time, less than ~10 GB RAM total. * Built from scratch (no FAISS index / Milvus / Pinecone). * Index-build cost: one Nvidia T4 (~ 300USD) for one 5.5B database. * Open to anyone, predict ADMET, export results as CSV/SDF. Full write-up & benchmarks (DUD-E, LIT-PCBA, SVS) in the pre-print: https://bit.ly/4kbb3SW... https://bit.ly/46fhMrK June 27, 2025 at 12:51AM