Seznam.cz is the dominant search engine and web portal in Czech Republic, operating at scale across millions of queries daily. The tech stack reveals a heavy investment in data engineering (Keboola, Snowflake, BigQuery, Kafka, PySpark) paired with ML infrastructure (PyTorch, Kubeflow, XGBoost, CatBoost) — suggesting the core challenge is less about scale per se and more about relevance and ranking. Active projects in vector search, entity detection, and image search relevance underscore a shift from keyword-based search toward semantic and visual understanding.
Seznam.cz operates the most-visited web portal and search engine in the Czech Republic, serving millions of daily queries across web, image, and news verticals. Founded in 1996 as the country's first web portal, the company has grown to 1,001–5,000 employees and operates from Prague, with additional hiring activity in Canada. Beyond search, Seznam owns and operates real estate services (sreality.cz) and maintains a full-stack advertising and media business. The organization is actively scaling backend infrastructure on Kubernetes and professionalizing data practices across marketing, analytics, and ML teams.
Core stack: Keboola, Snowflake, Kafka, Elasticsearch, Redis, Kubernetes, Docker. Analytics: Tableau, Looker Studio, BigQuery, SQL. ML/modeling: PyTorch, Kubeflow, XGBoost, CatBoost, PySpark. Backend: Python, Flask, C++, PostgreSQL, MySQL. Currently adopting MCP (Model Context Protocol).
Primary search engine and web portal. Also operates sreality.cz (real estate services). Active development includes image search relevance, entity detection in queries, and findhub MCP server integration.
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