{
  "docId": "019dd923-5e88-73ef-bd5c-cd66aa158518",
  "docSlug": "4ffda804348b4274",
  "documentTitle": "2024 Accel AI eating software",
  "authorId": "Accel",
  "authorName": "Accel",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "vc_research",
  "sourceTypeLabel": "VC research",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 39,
  "pageCount": 55,
  "prevPage": 38,
  "nextPage": 40,
  "slideType": "kpi_dashboard",
  "function": "summarize",
  "density": "dense",
  "nDataPoints": 6,
  "notes": null,
  "elementsJson": [
    "headline_text",
    "big_number",
    "icon_grid"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5e88-73ef-bd5c-cd66aa158518/39",
  "deckHref": "/decks/019dd923-5e88-73ef-bd5c-cd66aa158518",
  "deckJsonHref": "/decks/019dd923-5e88-73ef-bd5c-cd66aa158518.json",
  "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-cd66aa158518#slide-39",
  "components": [
    {
      "bbox": {
        "h": 0.3,
        "w": 0.28,
        "x": 0.36,
        "y": 0.268
      },
      "kind": "metric",
      "text": "$5.1B TOTAL FUNDING",
      "attrs": null,
      "subkind": "big-number",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "07e9a37e-3739-4ab9-87fa-4a295544fc20",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.3,
        "w": 0.28,
        "x": 0.04,
        "y": 0.268
      },
      "kind": "metric",
      "text": "~10,500 EMPLOYEES",
      "attrs": null,
      "subkind": "big-number",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "403d3456-7816-44ba-8818-abc330b6b4ac",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.3,
        "w": 0.28,
        "x": 0.36,
        "y": 0.582
      },
      "kind": "metric",
      "text": "$52M AVERAGE FUNDING",
      "attrs": null,
      "subkind": "big-number",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "46034d65-74fb-4ef8-a05b-fafe5b8ad34d",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.3,
        "w": 0.28,
        "x": 0.68,
        "y": 0.582
      },
      "kind": "metric",
      "text": "80% LTM FTE GROWTH",
      "attrs": null,
      "subkind": "big-number",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "62a22bfd-cabe-4c32-a755-468960ee4971",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.3,
        "w": 0.28,
        "x": 0.68,
        "y": 0.268
      },
      "kind": "metric",
      "text": "16 COUNTRIES",
      "attrs": null,
      "subkind": "big-number",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "9e1b3338-3a45-456e-a39a-514cb000c0a2",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.3,
        "w": 0.28,
        "x": 0.04,
        "y": 0.582
      },
      "kind": "metric",
      "text": "$22M AVG. SERIES A FUNDING",
      "attrs": null,
      "subkind": "big-number",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "f49ee5b2-1aed-46ae-8a77-79a43032af0c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Total Funding: $5.1B",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-41ab-72d9-bba3-5a62a4e63c07",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.25,
        "x": 0.04,
        "y": 0.95
      },
      "kind": "source-note",
      "text": "Source: Accel analysis, Dealroom, Crunchbase. Note: Data as of Oct-10 2024",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "6b246fe7-607f-410e-a0f5-7bb563b4f491",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.4,
        "x": 0.04,
        "y": 0.08
      },
      "kind": "title",
      "text": "2024 Accel Euroscape — At a glance",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "8ad4c338-310c-4521-b4e2-86a329cd2f14",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "3-Second Rule",
      "slug": "3-second-rule",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019de0ca-6f61-71cf-87d8-8949aa684e37",
      "evidence": "Six headline metrics readable instantly",
      "confidence": 72
    },
    {
      "name": "Visual Hierarchy",
      "slug": "visual-hierarchy",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019de0ca-6f3a-7409-b5b6-9d5d76a3fa94",
      "evidence": "2x3 big-number cards establish key KPIs at-a-glance",
      "confidence": 80
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 44,
      "from": 36,
      "beatId": "019de0ca-5da0-7058-b29d-28eece9468aa",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Evidence & Proof",
      "beatSlug": null,
      "evidence": "Euroscape 100 methodology, winners' funding/hiring/G2 benchmarks",
      "position": 4,
      "confidence": 82,
      "parentBeatName": null,
      "parentBeatSlug": null
    }
  ],
  "loops": [
    {
      "to": 44,
      "from": 36,
      "name": "Zoom In",
      "slug": "06-zoom-in",
      "bestFor": "Technical deep-dives, case studies, detailed analysis",
      "matchId": "019de0ca-5fd9-729e-b3d0-92e6f9a27586",
      "evidence": "Methodology (p36) → 100 winners landscape (p38) → at-a-glance KPIs (p39) → drill into funding/hiring/age/G2 (p40-44).",
      "position": 7,
      "objective": "Zoom from population scope into Euroscape-100 winners' specific metrics",
      "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
      "confidence": 78,
      "description": "Start broad, then progressively focus on specific details that prove your point"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}