The Recommendation Engine for Commodity Traders — Anekha Sokhal, Moshi

What would you get if Bloomberg, Claude, and Netflix had a baby? Moshi founder and CEO Anekha Sokhal joins swyx at AI Engineer NYC to discuss building AI tools for traders: connecting market data, handling conflicting sources, and turning insights into recommendations people actually use. They also discuss the pressure on AI engineers to become the whole team, and how to make the most of conference conversations. Moshi: hellomoshi.ai/ AI Engineer: ai.engineer/ Latent Space: latent.space/ Chapters: 00:00 AI Engineer NYC and the one-person team 00:54 Meet Anekha Sokhal 02:30 From math to trading 05:45 What is Moshi? 06:53 Structured, unstructured, and private data 08:26 Building a connected data graph 10:03 Bloomberg, Claude, and Netflix 12:19 From dashboards to workflows 14:49 Trust and private data 16:12 When sources disagree 16:45 Parsing messy PDFs 18:19 AI Engineer NYC and the one-person team 20:32 Making conference connections 23:47 Hiring versus finding customers 25:56 How swyx got into AI Sponsorship and business inquiries: business@latent.space