Marketplace platform scaling pre-owned book re-commerce across Central Europe
Knihobot & Bookbot operates a multi-country marketplace for pre-owned books, now rebuilding core systems from PHP while adopting Kafka-native infrastructure (Strimzi, MirrorMaker, Karpenter, KEDA). The tech stack reveals an analytics-first engineering culture — SQL, Python, Snowflake, BigQuery, and three BI tools (Power BI, Metabase) sit alongside event-streaming foundations — suggesting the business is moving from monolithic order processing toward real-time catalog and lead-management pipelines. Active hiring spans engineering, finance, and data roles across Czechia, Slovakia, Netherlands, and Canada, indicating simultaneous product iteration and geographic expansion.
Knihobot & Bookbot acquires, catalogs, and resells pre-owned books across the Czech Republic, Slovakia, Germany, and Austria, with recent expansion into the Netherlands. The company operates as a two-sided logistics platform: sourcing books from suppliers, automating warehouse operations, and matching inventory to customer demand. Founded in 2019 and now 1,001–5,000 employees, it faces the classic re-commerce margin problem — profitability at scale requires tight catalog analytics, efficient lead approval (books evaluated daily at high volume), and operational automation. Current projects include warehouse automation, supplier tendering, and community engagement features; leadership is addressing a legacy system rewrite and optimizing the book-lead-to-inventory pipeline.
Core: SQL, Python, MySQL, Snowflake, BigQuery. Frontend: TypeScript, Next.js, React. Streaming: Kafka, RabbitMQ. Infra: AWS, Azure, GCP, Kubernetes, Prometheus. Analytics: Power BI, Metabase. Adopting Kafka operators (Strimzi, MirrorMaker) and auto-scaling (Karpenter, KEDA). Migrating away from PHP.
Refining book lead approval workflows and catalog data processing; warehouse automation and supplier tenders; expansion into Netherlands; legacy system rewrite; adding community elements and building part-time support teams; scaling profitability across high-volume book intake operations.
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