1import{j as e}from"./index-BQ-83wGx.js";const t=[{title:"1. Intelligence",href:"/intelligence",copy:"Start with Geomacro's core intelligence workspace. Review how current world events are turned into structured, explainable risk context and whether the evidence trail makes the output useful for real decisions."},{title:"2. Critical Minerals & Rare Earth Risk",href:"/global-risk",copy:"Pay particular attention to the Critical Minerals risk product, including rare-earth supply, geopolitical concentration and sourcing exposure. Judge whether it stands on its own as a useful commercial risk view rather than feeling like a secondary feature."},{title:"3. Ask Geomacro",href:"/ask-geomacro",copy:"Ask a real geopolitical, macroeconomic, trade, sanctions, supply-chain, rare-earth or market-risk question. Check the direct answer, risk drivers, confidence, verification status and supporting evidence."},{title:"4. Risk Indices",href:"/global-risk",copy:"Review the separate geopolitical, macroeconomic and critical-minerals risk views. Check whether the signals, evidence and methodology boundaries are understandable and decision-useful."},{title:"5. Risk Gate",href:"/risk-gate",copy:"Inspect how Geomacro turns governed risk intelligence into controlled decision context. Judge whether the reasoning, evidence and current Private Pilot boundary are clear."},{title:"6. Data & API",href:"/data-api",copy:"Review the machine-readable delivery surface, public data and API status. Tell us whether the data model, access boundary and intended use are clear to a technical buyer or integrator."},{title:"7. Research & Evidence",href:"/research",copy:"Review methodology, coverage evidence, limitations and proof lineage. We especially want feedback on whether claims are supported clearly enough for serious risk work."},{title:"8. Data Pipeline",href:"/pipeline",copy:"Review how Geomacro represents ingestion, normalization, deduplication, classification and scoring. This is supporting technical proof, not the commercial product itself."}];function i(){return e.jsx("main",{className:"mx-auto w-full max-w-5xl px-4 py-10 sm:px-6 lg:px-8",children:e.jsxs("section",{className:"space-y-6",children:[e.jsxs("div",{className:"rounded-xl border border-border/60 bg-card/40 p-6 sm:p-8",children:[e.jsx("p",{className:"text-xs font-medium uppercase tracking-[0.18em] text-muted-foreground",children:"Independent testing"}),e.jsx("h1",{className:"mt-3 text-3xl font-semibold tracking-tight sm:text-4xl",children:"Help test Geomacro before commercial launch"}),e.jsx("p",{className:"mt-4 max-w-3xl text-sm leading-7 text-muted-foreground sm:text-base",children:"Geomacro is an evidence-driven geopolitical, macroeconomic and critical-minerals risk intelligence product for human and machine decision systems. We are inviting a small group of builders, analysts and technical testers to independently test the core intelligence product."}),e.jsx("div",{className:"mt-5 rounded-lg border border-primary/30 bg-primary/5 p-4 text-sm leading-6",children:"This is not a request for a positive review. We want honest feedback, including anything that breaks, feels unclear or should be improved."}),e.jsx("div",{className:"mt-4 rounded-lg border border-border/60 bg-muted/20 p-4 text-sm leading-6 text-muted-foreground",children:"Product boundary: Prediction Markets, Bridge and Swap are separate testnet technical proofs. They are not part of Geomacro's commercial mainnet product and are intentionally excluded from this reviewer flow."})]}),e.jsxs("div",{className:"rounded-xl border border-primary/30 bg-primary/5 p-6 sm:p-8",children:[e.jsx("p",{className:"text-xs font-medium uppercase tracking-[0.18em] text-primary",children:"Commercial focus"}),e.jsx("h2",{className:"mt-2 text-2xl font-semibold",children:"Critical Minerals and Rare Earth risk is a first-class Geomacro product."}),e.jsx("p",{className:"mt-3 max-w-3xl text-sm leading-6 text-muted-foreground sm:text-base",children:"Reviewers should explicitly test whether Geomacro helps surface rare-earth and critical-mineral supply concentration, geopolitical exposure, sourcing pressure and related macro risk in a way that is explainable and useful to institutions, operators and automated systems."})]}),e.jsx("div",{className:"grid gap-4 md:grid-cols-2",children:t.map(r=>e.jsxs("a",{href:r.href,className:"rounded-xl border border-border/60 bg-card/30 p-5 transition hover:bg-card/60",children:[e.jsx("h2",{className:"font-medium",children:r.title}),e.jsx("p",{className:"mt-2 text-sm leading-6 text-muted-foreground",children:r.copy}),e.jsx("p",{className:"mt-4 text-xs font-medium",children:"Open test flow â"})]},r.title))}),e.jsxs("div",{className:"rounded-xl border border-border/60 bg-card/40 p-6 sm:p-8",children:[e.jsx("h2",{className:"text-xl font-semibold",children:"What we want to know"}),e.jsxs("ol",{className:"mt-4 list-decimal space-y-2 pl-5 text-sm leading-6 text-muted-foreground",children:[e.jsx("li",{children:"What part of Geomacro was most useful?"}),e.jsx("li",{children:"What was confusing?"}),e.jsx("li",{children:"Did anything break?"}),e.jsx("li",{children:"Would you use any part of the product yourself?"}),e.jsx("li",{children:"What is the single most important thing we should improve before commercial launch?"})]}),e.jsx("p",{className:"mt-5 text-sm leading-6 text-muted-foreground",children:"Technical criticism is welcome. Useful negative feedback will be treated as product evidence, not hidden or discouraged."})]}),e.jsxs("div",{className:"rounded-xl border border-border/60 bg-muted/20 p-6 sm:p-8",children:[e.jsx("h2",{className:"text-xl font-semibold",children:"Environment clarity"}),e.jsx("p",{className:"mt-3 text-sm leading-6 text-muted-foreground",children:"Geomacro's commercial identity is risk intelligence. Supporting testnet and technical-proof surfaces are deliberately separated from the main product experience so users can distinguish production-facing intelligence from experimental onchain demonstrations."}),e.jsxs("div",{className:"mt-5 flex flex-wrap gap-3 text-sm",children:[e.jsx("a",{className:"underline underline-offset-4",href:"/intelligence",children:"Intelligence"}),e.jsx("a",{className:"underline underline-offset-4",href:"/global-risk",children:"Risk Indices"}),e.jsx("a",{className:"underline underline-offset-4",href:"https://github.com/blocknine0/geomacro",target:"_blank",rel:"noreferrer",children:"GitHub"}),e.jsx("a",{className:"underline underline-offset-4",href:"/roadmap",children:"Roadmap"}),e.jsx("a",{className:"underline underline-offset-4",href:"/docs/01-what-is-geomacro",children:"Documentation"})]})]})]})})}export{i as component};
Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.