For the past twenty years, my work has lived right on the boundary between business strategy and production engineering. In most organizations, those two worlds speak different languages and communicate through handoffs: one group models cohort retention, customer lifetime value (CLTV), and consumer psychology, while another group writes the software, instruments the telemetry, and ships to production.

I’ve spent my career operating across both halves at once—starting from the underlying business math and human behaviour to figure out what actually moves the needle, translating those findings into concrete technical architecture, and building the production code myself.

This site is a working notebook where I publish long-form technical monographs on the problems I’ve learned the most from along the way, alongside open-source libraries and specification implementations I maintain.

01 // Selected Writing & Notes

All 6 monographs →

02 // Open-Source & Standards

GitHub →
@dropbear-dev/web-experiments TypeScript • W3C

Zero-flicker A/B & multivariate experimentation via native W3C Custom Elements and GA4 dataLayer attribution.

rdf_dart / shacl-dart / oxigraph-dart Dart • Rust FFI

Ground-up W3C Semantic Web suite covering RDF 1.2, JSON-LD 1.1, SHACL 1.2 shapes, and native Rust Oxigraph SPARQL bindings.

punycoder & iri IETF RFC 3492 / 3987

Standards-compliant Punycode codec (>76,000 pub.dev downloads) and Internationalized Resource Identifier primitives.

structured_field_values & brotli_codec IETF RFC 9651 / 7932

Strict HTTP Structured Field Values parser/serializer and Brotli compression stream codecs.

Elsewhere & Contact: For commercial consulting and client case studies, visit dropbear.dev.

For direct correspondence, write to mark@bivens.dev.