Every job filled.
Every talent placed.
Zero economic slack.
A Bayesian matching exchange across labor, goods, services, bonds, and equities. Sellers post what they offer. Buyers publish their palmarès. The engine computes affinity, updates posteriors, and surfaces the optimal stop.
Posteriors update
after every signal.
Beta(α,β) priors are formed from requirements and palmarès. Each interview, review, or interaction updates α and β. Bellman's equation chooses continue vs. stop.
See live matchesLabor
Sellers post roles, buyers post palmarès. Bayesian affinity ranks every pair.
Goods, Bonds, Equities
Cross-market liquidity surfaces under a single matching engine.
AI Search
Authoritative research with citations, math, diagrams.
MarketSage
Conversational depth from 10K to 50K characters.
KDP-ready books
Export DOCX, PDF, EPUB to publication standards.
Bayesian fit
Heuristic prior from requirements, talents, comp. Every interview updates the Beta posterior.
Bellman stopping
Value of continuing vs. accepting now, across a 3-interview budget. We surface the optimal stop.
AI-drafted offers
At close, AI prices an offer package against palmarès and posterior fit.