Quora operates a dual-platform knowledge network: a public Q&A site with hundreds of millions monthly visitors, plus Poe, an AI chat aggregator for creators. The tech stack reveals heavy investment in real-time personalization (Kafka, Spark, Trino, RAG) and multi-model AI integration (Gemini, Claude). Active migration from Redshift to Trino, combined with recommendation-system projects across feed, notifications, and ads, signals architectural modernization toward lower-latency ranking and real-time ad delivery.
Quora operates two interconnected platforms: Quora.com, a global knowledge-sharing site where writers answer questions across millions of topics for a reader audience, and Poe, a multi-model AI chat interface that aggregates access to leading AI providers and enables creators to build and monetize applications. The company serves a 201–500 person workforce split primarily between engineering and data, with offices in the US, Canada, and Ireland. Active hiring focuses on senior and staff engineers, signaling continued infrastructure scaling.
Quora's core stack includes Kafka, Apache Spark, Trino, Hive, Python, React, Next.js, GraphQL, and TypeScript. The company is adopting Gemini 2.5 Flash and Trino, while migrating off Redshift. Machine learning models (Claude, RAG) power personalization and feed ranking.
Active projects focus on recommendation systems for feed, notifications, and digest emails; real-time ad delivery; expanding external developer APIs; and migrating legacy Redshift infrastructure to Trino while revamping the Spark ecosystem.
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