{"version":"1.0","type":"card","id":"d9a820cb-cd7a-47f3-9c1e-8681aab32036","url":"https://stacklist.com/card/d9a820cb-cd7a-47f3-9c1e-8681aab32036","title":"From Airbnb's Chronon Engine to Real-Time Feature Compute","source_url":"https://www.codestory.co/episodes/e13-bonus-from-airbnbs-chronon-engine-to-enterprise-real-time-feature-compute-with-varant-zanoyan-co-founder-ceo-of-zipline-ai/","note":"This episode features Varant Zanoyan, Co-Founder and CEO of Zipline AI, discussing his journey from working on Airbnb's Chronon Engine to developing enterprise-level real-time feature computation. The conversation delves into the challenges and innovations in the tech industry, providing insights for technical founders.","image":{"url":"https://ucarecdn.com/5c4691ca-5f3d-4a9c-b8e5-48499acbc74a/","alt":"From Airbnb's Chronon Engine to Real-Time Feature Compute","width":1400,"height":1400},"stack":{"id":"ae330d56-b695-4174-a2ab-055876836635","title":"Code Story S13 Episodes: Web Dev, AI & Tools","url":"https://stacklist.com/c/podcast/stack/ae330d56-b695-4174-a2ab-055876836635"},"created_at":"2026-09-03T15:39:33.704Z","updated_at":null,"aco":{"summary":"Varant Zanoyan, Co-Founder & CEO of Zipline AI, discusses how Airbnb's Chronon Engine evolved into an enterprise real-time feature compute platform. The episode explores how managing data pipelines became a critical bottleneck for AI development, leading to the creation of Zipline AI as a standalone solution for building and serving ML features with low latency and high freshness.","tags":["real-time-features","machine-learning","data-pipelines","chronon-engine","feature-compute","ai-infrastructure","startup"],"key_entities":[{"name":"Varant Zanoyan","type":"person","confidence":0.95},{"name":"Noah Labhart","type":"person","confidence":0.9},{"name":"Zipline AI","type":"organization","confidence":0.95},{"name":"Airbnb","type":"organization","confidence":0.95},{"name":"Palantir Technologies","type":"organization","confidence":0.9},{"name":"Chronon Engine","type":"technology","confidence":0.95},{"name":"real-time feature compute","type":"concept","confidence":0.9},{"name":"ML infrastructure","type":"concept","confidence":0.85},{"name":"San Mateo","type":"location","confidence":0.85},{"name":"Washington DC","type":"location","confidence":0.85},{"name":"Code Story Podcast","type":"event","confidence":0.9}],"classification":"transcript","language":"en","confidence":0.85,"provenance":{"model":"claude-haiku-4-5","tool":"@stacklist/be@0.1.0","confidence":0.85,"timestamp":"2026-09-03T15:39:54.961Z"},"token_counts":{"approximate":8753,"cl100k":9494},"content_hash":"sha256:6746ee3a3d546b7ae5eecc20e6965b69d0149d4d67f3e3dd831170c8626ab831","acp_version":"0.2","body_available":true,"body_tokens":8753,"visibility":"public","agent_accessible":true,"status":"final"},"_links":{"self":"/api/public/card/d9a820cb-cd7a-47f3-9c1e-8681aab32036.json","html":"https://stacklist.com/card/d9a820cb-cd7a-47f3-9c1e-8681aab32036","md":"/api/public/card/d9a820cb-cd7a-47f3-9c1e-8681aab32036.md","stack_json":"/api/public/stack/ae330d56-b695-4174-a2ab-055876836635.json"}}