Show HN: Monogate – EML operator family, hybrid framework, 108-node sin(x) (opens in new tab)

EML operator family, 52-74% node reduction, and empirical results from 36 hours of building We spent 36 hours implementing and extending arXiv:2603.21852 (Odrzywołek, 2026 — the "NAND gate for continuous math" paper that was on the front page two days ago). What we found: phantom attractors in EML symbolic regression, a Lambert W fixed point governing right-chain trees, two new operators (EDL, EXL), a HybridOperator that cuts node counts 52-74%, and machine-precision Taylor sin(x) at 108 nodes. npm install monogate / pip install monogate Live explorer: https://explorer.monogate.dev/ Challenge board: monogate.dev Paper draft: github.com/almaguer1986/monogate/blob/main/python/PAPER.md

just vibe coding this with claude and grok

hopefully this is helpful or useful to someone