Bitcoin neobank with fraud detection and European expansion focus
Bitstack operates a Bitcoin-native neobank built on Go, Python, Flutter, and a modern data stack (Snowflake, BigQuery, Airflow, Feast). The tech choices and project list reveal two concurrent challenges: fraud detection and financial crime prevention dominate their engineering roadmap (ML stack includes scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, plus real-time risk pipelines and monitoring dashboards), while European expansion occupies product and marketing (dedicated English accounts, social scaling across platforms). Hiring is concentrated in engineering and product, signaling both product-market fit in France and the engineering lift required to build compliance-grade infrastructure.
Notable leadership hires: Head of Engineering
Bitstack is a Paris-based Bitcoin neobank enabling users to save and invest in Bitcoin through a mobile-first platform. Founded in 2021, the company has evolved from a spare-change-to-Bitcoin savings tool into a full neobank offering buy, sell, earn, and spend functionality denominated in Bitcoin. The product targets retail users seeking exposure to Bitcoin without traditional banking intermediaries. Operating across 11–50 employees, Bitstack is expanding its European footprint beyond France while addressing fraud detection and financial crime prevention—core regulatory requirements for a payments-grade platform.
Bitstack uses Go and Python for backend, Flutter and Dart for mobile, TypeScript/JavaScript for frontend, Snowflake and BigQuery for data warehousing, Airflow for orchestration, and PyTorch, TensorFlow, and XGBoost for ML models.
Active projects include fraud detection models, real-time risk evaluation pipelines, fraud monitoring dashboards, European social media expansion, English-language account launches, and AI automation pipelines for internal operations.
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