{
  "document": {
    "document_id": "doc-paddlenet-overview",
    "title": "paddleNET Overview",
    "slug": "home",
    "materialization_level": "2.5",
    "generated_at": "2026-06-23",
    "source_document": "/content/home.md",
    "license": "https://creativecommons.org/licenses/by/4.0/",
    "usageInfo": "https://paddlenet.earth/wiki/license/"
  },
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      "qa_id": "qa-home-001",
      "question": "What is paddleNET?",
      "answer": "paddleNET is an AI-native discovery layer for paddlesports that maps people, businesses, products, places, events, and experiences across the North American paddling ecosystem.",
      "qa_type": "factual",
      "intent": "understand",
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      "entities": [
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      "concepts": [
        "AI-native discovery",
        "paddlesports ecosystem"
      ],
      "tags": [
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        "ecosystem-mapping",
        "paddlesports"
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      "audience": [
        "paddlesports participants",
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      "related_questions": [],
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    {
      "qa_id": "qa-home-002",
      "question": "Why does paddleNET exist?",
      "answer": "paddleNET exists because much of the value in the outdoor and paddling ecosystem remains invisible online, while traditional search and social platforms tend to reward size and advertising spend over relevance and quality.",
      "qa_type": "conceptual",
      "intent": "understand",
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      "concepts": [
        "findability",
        "opportunity flow"
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      "tags": [
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        "opportunity",
        "outdoor-industry"
      ],
      "audience": [
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    },
    {
      "qa_id": "qa-home-003",
      "question": "What does SIG mean in paddleNET?",
      "answer": "SIG means Signal Intelligence Graph. paddleNET uses SIG layers such as NetworkSIG, IndustrySIG, TerraSIG, and Snap For Science to describe different discovery and intelligence functions.",
      "qa_type": "glossary",
      "intent": "learn",
      "knowledge_ids": [
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      "entities": [
        "IndustrySIG",
        "Snap For Science",
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        "paddleNET"
      ],
      "concepts": [
        "Signal Intelligence Graph"
      ],
      "tags": [
        "industrysig",
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        "signal-intelligence-graphs",
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      ],
      "audience": [
        "paddlesports participants",
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    },
    {
      "qa_id": "qa-home-004",
      "question": "What are the current paddleNET Signal Intelligence Graphs?",
      "answer": "The current SIG concepts named on the site are NetworkSIG for people, IndustrySIG for brands and businesses, TerraSIG for waterways and stewardship, and Snap For Science for citizen science powered by paddlers.",
      "qa_type": "factual",
      "intent": "discover",
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      "concepts": [
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    },
    {
      "qa_id": "qa-home-005",
      "question": "How is paddleNET related to iNDX.earth?",
      "answer": "The site describes paddleNET as the first industry implementation of the broader iNDX.earth platform.",
      "qa_type": "factual",
      "intent": "understand",
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      "concepts": [
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      "tags": [
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      "audience": [
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    },
    {
      "qa_id": "qa-home-006",
      "question": "How can someone contact paddleNET?",
      "answer": "The home page directs users to send a message through the contact form to contact paddleNET, subscribe to emails, or change email preferences.",
      "qa_type": "procedural",
      "intent": "execute",
      "knowledge_ids": [
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        "next_steps": [
          "Use the contact form on the home page."
        ]
      }
    },
    {
      "qa_id": "qa-home-007",
      "question": "Where can an agent find the NetworkSIG page?",
      "answer": "The sitemap chunk links Signal Intelligence Graphs to /graphs/network-sig/, which is the NetworkSIG overview page.",
      "qa_type": "navigational",
      "intent": "navigate",
      "knowledge_ids": [
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      "entities": [
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      "concepts": [
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    },
    {
      "qa_id": "qa-home-008",
      "question": "Which pages explain paddleNET policies and licensing?",
      "answer": "The home page sitemap points to /wiki/terms-conditions/ for terms and privacy, and /wiki/license/ for content license and reuse guidance.",
      "qa_type": "navigational",
      "intent": "navigate",
      "knowledge_ids": [
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      "audience": [
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}