SignalsAPI
Recruitment
Tacit knowledge source“How to find good leads”
Made computable asScraping and classification pipeline
Work
Five systems, five industries, one engineer.
Five solo systems built in five unrelated domains, each by extracting tacit knowledge from a domain expert and making it computable. Two consulting engagements follow, kept separate from the systems above.
Systems
Systems built solo
Graph orderThe five systems, the tacit knowledge each was built from, the shape it was made computable as, and the industry it serves.
Virtual BDR
Sales
Tacit knowledge source“How to work a prospect”
Made computable asComposable outreach modules
KIMA
Real estate
Tacit knowledge source“How to manage deals in a CRM”
Made computable asEvent and command queue orchestration
Ush
Executive scheduling
Tacit knowledge source“How to pick the right meeting slot”
Made computable asWeighted constraint optimization
A research knowledge platform
Scientific research
Tacit knowledge source“What we know about this domain”
Made computable asKnowledge graphs for AI
Fence
Consulting engagements
Kept separateTwo consulting engagements, on someone else's platform, are kept separate from the systems above, which were built solo: an enterprise HR-analytics platform, and a US personal-injury legal-tech platform.
| Engagement | Work done |
|---|---|
| a US personal-injury legal-tech platform | System architecture, back-end delivery, and the data layer underneath. |
| an enterprise HR-analytics platform | Distributed data engineering inside an existing data pipeline. |
Five solo systems, in the knowledge graph's own order: SignalsAPI (recruitment), Virtual BDR (sales), KIMA (real estate), Ush (executive scheduling), a research knowledge platform (scientific research). Two consulting engagements follow: a US personal-injury legal-tech platform, and an enterprise HR-analytics platform, kept separate from the systems above.