{
  "kind": "all",
  "value": "all",
  "collectionKey": "slides:all:all:all-document-kinds:all-producers:all-orientations",
  "filters": {
    "documentKinds": [],
    "sourceTypes": [],
    "orientations": []
  },
  "total": 319975,
  "page": 888,
  "pageSize": 60,
  "pageCount": 5333,
  "rows": [
    {
      "docId": "019dd923-5e88-73ef-bd5c-c5b896858cd2",
      "docSlug": "c03c8bf8949f3488",
      "documentTitle": "2022 Accel The Reset",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 47,
      "slideType": "market_landscape",
      "function": "present_framework",
      "notes": "Includes logos of key players and a hierarchical segmentation of financial services.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c5b896858cd2/47",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c5b896858cd2",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c5b896858cd2#slide-47",
      "loopMatches": [
        {
          "to": 49,
          "from": 43,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019de0de-7e18-77ce-84dc-bffd12bf5199",
          "evidence": "p43 lists six themes; p44-49 each elaborate one with logos and trend evidence.",
          "position": 8,
          "objective": "Preview six future investment themes",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 65,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 49,
          "from": 43,
          "beatId": "019de0de-7c39-7608-b2fa-d1b1cce9aadf",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": null,
          "evidence": "'What's Next?' six future investment themes.",
          "position": 3,
          "confidence": 75,
          "parentBeatName": null,
          "parentBeatSlug": null
        },
        {
          "to": 49,
          "from": 43,
          "beatId": "019de0de-7d04-77fc-8651-84a8c5f67bb7",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Impact & Next Steps",
          "beatSlug": null,
          "evidence": "Six 'What's Next' themes for future investment.",
          "position": 5,
          "confidence": 60,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c5b896858cd2",
      "docSlug": "c03c8bf8949f3488",
      "documentTitle": "2022 Accel The Reset",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 48,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "Includes a logo grid of relevant companies and Gartner predictions.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c5b896858cd2/48",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c5b896858cd2",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c5b896858cd2#slide-48",
      "loopMatches": [
        {
          "to": 49,
          "from": 43,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019de0de-7e18-77ce-84dc-bffd12bf5199",
          "evidence": "p43 lists six themes; p44-49 each elaborate one with logos and trend evidence.",
          "position": 8,
          "objective": "Preview six future investment themes",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 65,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 49,
          "from": 43,
          "beatId": "019de0de-7c39-7608-b2fa-d1b1cce9aadf",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": null,
          "evidence": "'What's Next?' six future investment themes.",
          "position": 3,
          "confidence": 75,
          "parentBeatName": null,
          "parentBeatSlug": null
        },
        {
          "to": 49,
          "from": 43,
          "beatId": "019de0de-7d04-77fc-8651-84a8c5f67bb7",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Impact & Next Steps",
          "beatSlug": null,
          "evidence": "Six 'What's Next' themes for future investment.",
          "position": 5,
          "confidence": 60,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c5b896858cd2",
      "docSlug": "c03c8bf8949f3488",
      "documentTitle": "2022 Accel The Reset",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 49,
      "slideType": "market_landscape",
      "function": "summarize",
      "notes": "The slide uses a logo-grid to categorize key players in the Web3 stack.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c5b896858cd2/49",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c5b896858cd2",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c5b896858cd2#slide-49",
      "loopMatches": [
        {
          "to": 49,
          "from": 43,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019de0de-7e18-77ce-84dc-bffd12bf5199",
          "evidence": "p43 lists six themes; p44-49 each elaborate one with logos and trend evidence.",
          "position": 8,
          "objective": "Preview six future investment themes",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 65,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 49,
          "from": 43,
          "beatId": "019de0de-7c39-7608-b2fa-d1b1cce9aadf",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": null,
          "evidence": "'What's Next?' six future investment themes.",
          "position": 3,
          "confidence": 75,
          "parentBeatName": null,
          "parentBeatSlug": null
        },
        {
          "to": 49,
          "from": 43,
          "beatId": "019de0de-7d04-77fc-8651-84a8c5f67bb7",
          "arcName": "The Consultant's Gambit",
          "arcSlug": "consultants-gambit",
          "beatName": "Impact & Next Steps",
          "beatSlug": null,
          "evidence": "Six 'What's Next' themes for future investment.",
          "position": 5,
          "confidence": 60,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c5b896858cd2",
      "docSlug": "c03c8bf8949f3488",
      "documentTitle": "2022 Accel The Reset",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 50,
      "slideType": "closing_ask",
      "function": "summarize",
      "notes": "The background is a 3D voxel-style map of Europe.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c5b896858cd2/50",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c5b896858cd2",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c5b896858cd2#slide-50",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c5b896858cd2",
      "docSlug": "c03c8bf8949f3488",
      "documentTitle": "2022 Accel The Reset",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 51,
      "slideType": "appendix_data",
      "function": "summarize",
      "notes": "The slide serves as an appendix reference for the composition of the Accel Euroscape indices.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c5b896858cd2/51",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c5b896858cd2",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c5b896858cd2#slide-51",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 1,
      "slideType": "cover",
      "function": "front_matter",
      "notes": null,
      "imagePath": "https://imgproxy.kitesheet.com/hM9sFOZI8E9cTAaWFXB7ILMQnTsCUWRqSb3AXhKA-HM/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8xNDRiNDcyNjljMWY1NjBlL3AwMDEuanBn",
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/1",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-1",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": "https://imgproxy.kitesheet.com/QpCCOCPt7uvDzVvvI1baQmxb8MG3lYTWpIU4ROtAxO4/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8xNDRiNDcyNjljMWY1NjBlL3AwMDEucG5n",
      "thumbSrc": "https://imgproxy.kitesheet.com/wcGuwv-CkULwdzJT6CWKaRzi2Jq2CdPCQONodtrrVRY/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8xNDRiNDcyNjljMWY1NjBlL3AwMDEuanBn",
      "thumbSrcAlt": "https://imgproxy.kitesheet.com/2DOp2l-6Ndhn9fH3uhJcKhxNnLYLObXUPyxHhdeacLI/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8xNDRiNDcyNjljMWY1NjBlL3AwMDEucG5n"
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 2,
      "slideType": "table_of_contents",
      "function": "front_matter",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/2",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-2",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 3,
      "slideType": "industry_trends",
      "function": "establish_context",
      "notes": "The slide uses a visual annotation to emphasize the duration of the market recovery period.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/3",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-3",
      "loopMatches": [
        {
          "to": 4,
          "from": 3,
          "name": "Tale Two Worlds",
          "slug": "04-tale-two-worlds",
          "bestFor": "Competitive analysis, benchmarking, case for change",
          "matchId": "019de0f3-80b6-76cd-b60f-c5b1502d6911",
          "evidence": "Two near-identical NASDAQ charts juxtapose 2000 (14 years) and 2021 (18 months).",
          "position": 1,
          "objective": "Contrast 14-year vs 18-month NASDAQ recoveries to frame a new cycle",
          "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication",
          "confidence": 90,
          "description": "Show the gap between two states to drive urgency or highlight opportunity"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 4,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The slide uses a visual highlight to emphasize the rapid change in the index value over an 18-month window.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/4",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-4",
      "loopMatches": [
        {
          "to": 4,
          "from": 3,
          "name": "Tale Two Worlds",
          "slug": "04-tale-two-worlds",
          "bestFor": "Competitive analysis, benchmarking, case for change",
          "matchId": "019de0f3-80b6-76cd-b60f-c5b1502d6911",
          "evidence": "Two near-identical NASDAQ charts juxtapose 2000 (14 years) and 2021 (18 months).",
          "position": 1,
          "objective": "Contrast 14-year vs 18-month NASDAQ recoveries to frame a new cycle",
          "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication",
          "confidence": 90,
          "description": "Show the gap between two states to drive urgency or highlight opportunity"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 5,
      "slideType": "industry_trends",
      "function": "quantify_impact",
      "notes": "The slide highlights NVIDIA's entry into the $1T+ market cap club with a purple box.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/5",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-5",
      "loopMatches": [
        {
          "to": 8,
          "from": 5,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019de0f3-80df-7024-8b22-fd252cf1d930",
          "evidence": "Tech Titans +36% (p5) -> Cloud Giants +40% (p6) -> MSFT outlier (p7) -> MSFT dominates (p8).",
          "position": 2,
          "objective": "Stack evidence that tech titans dominate, culminating in MSFT eating cloud/security/AI",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 82,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 6,
      "slideType": "market_landscape",
      "function": "analyze_data",
      "notes": "The slide uses a grouped bar chart format to show year-over-year growth for companies with market caps over $100B.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/6",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-6",
      "loopMatches": [
        {
          "to": 8,
          "from": 5,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019de0f3-80df-7024-8b22-fd252cf1d930",
          "evidence": "Tech Titans +36% (p5) -> Cloud Giants +40% (p6) -> MSFT outlier (p7) -> MSFT dominates (p8).",
          "position": 2,
          "objective": "Stack evidence that tech titans dominate, culminating in MSFT eating cloud/security/AI",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 82,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 7,
      "slideType": "industry_trends",
      "function": "quantify_impact",
      "notes": "The chart uses a non-linear timeline/axis representation to compare market caps across two specific years.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/7",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-7",
      "loopMatches": [
        {
          "to": 8,
          "from": 5,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019de0f3-80df-7024-8b22-fd252cf1d930",
          "evidence": "Tech Titans +36% (p5) -> Cloud Giants +40% (p6) -> MSFT outlier (p7) -> MSFT dominates (p8).",
          "position": 2,
          "objective": "Stack evidence that tech titans dominate, culminating in MSFT eating cloud/security/AI",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 82,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 8,
      "slideType": "market_landscape",
      "function": "present_solution",
      "notes": "The slide uses a three-column layout to contrast established market positions in Cloud and Security with the strategic AI partnership between Microsoft and OpenAI.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/8",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-8",
      "loopMatches": [
        {
          "to": 8,
          "from": 5,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019de0f3-80df-7024-8b22-fd252cf1d930",
          "evidence": "Tech Titans +36% (p5) -> Cloud Giants +40% (p6) -> MSFT outlier (p7) -> MSFT dominates (p8).",
          "position": 2,
          "objective": "Stack evidence that tech titans dominate, culminating in MSFT eating cloud/security/AI",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 82,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 9,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The chart shows a significant peak in 2021 followed by a correction, with a recent upward trend.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/9",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-9",
      "loopMatches": [
        {
          "to": 11,
          "from": 9,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019de0f3-8106-74bc-9ffc-13b532799153",
          "evidence": "Euroscape Index recovery (p9) -> multiples normalising (p10) -> Accel global portfolio map (p11).",
          "position": 3,
          "objective": "Zoom from broader market down to Accel's Euroscape footprint",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 75,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 10,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The chart illustrates a significant market correction from the 2021 peak back to historical norms.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/10",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-10",
      "loopMatches": [
        {
          "to": 11,
          "from": 9,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019de0f3-8106-74bc-9ffc-13b532799153",
          "evidence": "Euroscape Index recovery (p9) -> multiples normalising (p10) -> Accel global portfolio map (p11).",
          "position": 3,
          "objective": "Zoom from broader market down to Accel's Euroscape footprint",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 75,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 11,
      "slideType": "geographic_map",
      "function": "establish_context",
      "notes": "The slide highlights the global reach of Accel's investments in Cloud and AI sectors.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/11",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-11",
      "loopMatches": [
        {
          "to": 11,
          "from": 9,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019de0f3-8106-74bc-9ffc-13b532799153",
          "evidence": "Euroscape Index recovery (p9) -> multiples normalising (p10) -> Accel global portfolio map (p11).",
          "position": 3,
          "objective": "Zoom from broader market down to Accel's Euroscape footprint",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 75,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 12,
      "slideType": "section_divider",
      "function": "transition",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/12",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-12",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 13,
      "slideType": "industry_trends",
      "function": "establish_context",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/13",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-13",
      "loopMatches": [
        {
          "to": 14,
          "from": 13,
          "name": "Aha Moment",
          "slug": "03-aha-moment",
          "bestFor": "Data-heavy sections, research findings, analytical arguments",
          "matchId": "019de0f3-812e-7224-bbea-9294c19ea970",
          "evidence": "Three macro charts (p13) then quote-timeline showing narrative shift (p14).",
          "position": 4,
          "objective": "Macro data plus quotes reveal sentiment has shifted to soft-landing",
          "structure": "The Problem/Question -> What the Data Shows -> The Insight",
          "confidence": 78,
          "description": "Establish a tension, present data, then deliver the insight that changes everything"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 14,
      "slideType": "industry_trends",
      "function": "establish_context",
      "notes": "Uses a timeline framework to show the evolution of market sentiment.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/14",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-14",
      "loopMatches": [
        {
          "to": 14,
          "from": 13,
          "name": "Aha Moment",
          "slug": "03-aha-moment",
          "bestFor": "Data-heavy sections, research findings, analytical arguments",
          "matchId": "019de0f3-812e-7224-bbea-9294c19ea970",
          "evidence": "Three macro charts (p13) then quote-timeline showing narrative shift (p14).",
          "position": 4,
          "objective": "Macro data plus quotes reveal sentiment has shifted to soft-landing",
          "structure": "The Problem/Question -> What the Data Shows -> The Insight",
          "confidence": 78,
          "description": "Establish a tension, present data, then deliver the insight that changes everything"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 15,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "Data covers Euroscape fastest growing companies (top quartile by Q2-23 NTM growth rate).",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/15",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-15",
      "loopMatches": [
        {
          "to": 22,
          "from": 15,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019de0f3-8156-7746-ab01-074e2761a6e0",
          "evidence": "Profitability rising (p15), Rule of 40 (p16), top growers (p17), IPO reopening (p18-19), M&A momentum (p20-22).",
          "position": 5,
          "objective": "Aggregate evidence that the cloud market is recovering",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 16,
      "slideType": "peer_benchmark",
      "function": "compare_peers",
      "notes": "The charts use a scatter plot format with a diagonal threshold line representing the Rule of 40. 2023 data includes valuation multiples (EV/NTM Rev) for the two segments.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/16",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-16",
      "loopMatches": [
        {
          "to": 22,
          "from": 15,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019de0f3-8156-7746-ab01-074e2761a6e0",
          "evidence": "Profitability rising (p15), Rule of 40 (p16), top growers (p17), IPO reopening (p18-19), M&A momentum (p20-22).",
          "position": 5,
          "objective": "Aggregate evidence that the cloud market is recovering",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 17,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The chart highlights high growth rates in cybersecurity firms.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/17",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-17",
      "loopMatches": [
        {
          "to": 22,
          "from": 15,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019de0f3-8156-7746-ab01-074e2761a6e0",
          "evidence": "Profitability rising (p15), Rule of 40 (p16), top growers (p17), IPO reopening (p18-19), M&A momentum (p20-22).",
          "position": 5,
          "objective": "Aggregate evidence that the cloud market is recovering",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 18,
      "slideType": "industry_trends",
      "function": "establish_context",
      "notes": "The chart shows a significant peak in 2021 followed by a sharp decline in 2022, with a single data point for 2023 YTD.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/18",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-18",
      "loopMatches": [
        {
          "to": 22,
          "from": 15,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019de0f3-8156-7746-ab01-074e2761a6e0",
          "evidence": "Profitability rising (p15), Rule of 40 (p16), top growers (p17), IPO reopening (p18-19), M&A momentum (p20-22).",
          "position": 5,
          "objective": "Aggregate evidence that the cloud market is recovering",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 19,
      "slideType": "market_landscape",
      "function": "establish_context",
      "notes": "The slide uses a logo-grid to demonstrate market maturity and scale across two key geographic regions.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/19",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-19",
      "loopMatches": [
        {
          "to": 22,
          "from": 15,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019de0f3-8156-7746-ab01-074e2761a6e0",
          "evidence": "Profitability rising (p15), Rule of 40 (p16), top growers (p17), IPO reopening (p18-19), M&A momentum (p20-22).",
          "position": 5,
          "objective": "Aggregate evidence that the cloud market is recovering",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 20,
      "slideType": "market_landscape",
      "function": "analyze_data",
      "notes": "The chart shows annualised data for 2023. The table lists specific target companies, their EV, and their acquirers.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/20",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-20",
      "loopMatches": [
        {
          "to": 22,
          "from": 15,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019de0f3-8156-7746-ab01-074e2761a6e0",
          "evidence": "Profitability rising (p15), Rule of 40 (p16), top growers (p17), IPO reopening (p18-19), M&A momentum (p20-22).",
          "position": 5,
          "objective": "Aggregate evidence that the cloud market is recovering",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 21,
      "slideType": "market_landscape",
      "function": "analyze_data",
      "notes": "The 2023 data point is marked as annualised.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/21",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-21",
      "loopMatches": [
        {
          "to": 22,
          "from": 15,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019de0f3-8156-7746-ab01-074e2761a6e0",
          "evidence": "Profitability rising (p15), Rule of 40 (p16), top growers (p17), IPO reopening (p18-19), M&A momentum (p20-22).",
          "position": 5,
          "objective": "Aggregate evidence that the cloud market is recovering",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 22,
      "slideType": "market_landscape",
      "function": "analyze_data",
      "notes": "Includes a bar chart showing annual deal volume and a table detailing specific target companies, their EV, revenue multiples, premiums, and acquirers.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/22",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-22",
      "loopMatches": [
        {
          "to": 22,
          "from": 15,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019de0f3-8156-7746-ab01-074e2761a6e0",
          "evidence": "Profitability rising (p15), Rule of 40 (p16), top growers (p17), IPO reopening (p18-19), M&A momentum (p20-22).",
          "position": 5,
          "objective": "Aggregate evidence that the cloud market is recovering",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 23,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "US data excludes specific large deals (OpenAI, Inflection, Anthropic).",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/23",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-23",
      "loopMatches": [
        {
          "to": 29,
          "from": 23,
          "name": "Tale Two Worlds",
          "slug": "04-tale-two-worlds",
          "bestFor": "Competitive analysis, benchmarking, case for change",
          "matchId": "019de0f3-817e-739e-838e-56b8ad79c35a",
          "evidence": "Side-by-side EU/IL vs US bar charts on financing, late-stage, share, unicorns, deal sizes, Gen AI.",
          "position": 6,
          "objective": "Compare EU/Israel vs US funding to size the regional gap",
          "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication",
          "confidence": 82,
          "description": "Show the gap between two states to drive urgency or highlight opportunity"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 24,
      "slideType": "industry_trends",
      "function": "quantify_impact",
      "notes": "The slide highlights an ~80% decrease in both volume and value of late-stage rounds.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/24",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-24",
      "loopMatches": [
        {
          "to": 29,
          "from": 23,
          "name": "Tale Two Worlds",
          "slug": "04-tale-two-worlds",
          "bestFor": "Competitive analysis, benchmarking, case for change",
          "matchId": "019de0f3-817e-739e-838e-56b8ad79c35a",
          "evidence": "Side-by-side EU/IL vs US bar charts on financing, late-stage, share, unicorns, deal sizes, Gen AI.",
          "position": 6,
          "objective": "Compare EU/Israel vs US funding to size the regional gap",
          "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication",
          "confidence": 82,
          "description": "Show the gap between two states to drive urgency or highlight opportunity"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 25,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The chart highlights that despite a slight decline in 2023, the share remains higher than 2019 and 2020 levels.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/25",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-25",
      "loopMatches": [
        {
          "to": 29,
          "from": 23,
          "name": "Tale Two Worlds",
          "slug": "04-tale-two-worlds",
          "bestFor": "Competitive analysis, benchmarking, case for change",
          "matchId": "019de0f3-817e-739e-838e-56b8ad79c35a",
          "evidence": "Side-by-side EU/IL vs US bar charts on financing, late-stage, share, unicorns, deal sizes, Gen AI.",
          "position": 6,
          "objective": "Compare EU/Israel vs US funding to size the regional gap",
          "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication",
          "confidence": 82,
          "description": "Show the gap between two states to drive urgency or highlight opportunity"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 26,
      "slideType": "market_landscape",
      "function": "analyze_data",
      "notes": "H2 2023 Annualised. Source: CB Insights.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/26",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-26",
      "loopMatches": [
        {
          "to": 29,
          "from": 23,
          "name": "Tale Two Worlds",
          "slug": "04-tale-two-worlds",
          "bestFor": "Competitive analysis, benchmarking, case for change",
          "matchId": "019de0f3-817e-739e-838e-56b8ad79c35a",
          "evidence": "Side-by-side EU/IL vs US bar charts on financing, late-stage, share, unicorns, deal sizes, Gen AI.",
          "position": 6,
          "objective": "Compare EU/Israel vs US funding to size the regional gap",
          "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication",
          "confidence": 82,
          "description": "Show the gap between two states to drive urgency or highlight opportunity"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 27,
      "slideType": "data_table",
      "function": "analyze_data",
      "notes": "The slide contrasts a predictive table from 2022 with a bar chart showing actual funding round outcomes in Europe and Israel.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/27",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-27",
      "loopMatches": [
        {
          "to": 29,
          "from": 23,
          "name": "Tale Two Worlds",
          "slug": "04-tale-two-worlds",
          "bestFor": "Competitive analysis, benchmarking, case for change",
          "matchId": "019de0f3-817e-739e-838e-56b8ad79c35a",
          "evidence": "Side-by-side EU/IL vs US bar charts on financing, late-stage, share, unicorns, deal sizes, Gen AI.",
          "position": 6,
          "objective": "Compare EU/Israel vs US funding to size the regional gap",
          "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication",
          "confidence": 82,
          "description": "Show the gap between two states to drive urgency or highlight opportunity"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 28,
      "slideType": "competitive_analysis",
      "function": "compare_peers",
      "notes": "Excludes convertible notes. Source: Pitchbook, Dealroom, Crunchbase.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/28",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-28",
      "loopMatches": [
        {
          "to": 29,
          "from": 23,
          "name": "Tale Two Worlds",
          "slug": "04-tale-two-worlds",
          "bestFor": "Competitive analysis, benchmarking, case for change",
          "matchId": "019de0f3-817e-739e-838e-56b8ad79c35a",
          "evidence": "Side-by-side EU/IL vs US bar charts on financing, late-stage, share, unicorns, deal sizes, Gen AI.",
          "position": 6,
          "objective": "Compare EU/Israel vs US funding to size the regional gap",
          "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication",
          "confidence": 82,
          "description": "Show the gap between two states to drive urgency or highlight opportunity"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 29,
      "slideType": "comparison_table",
      "function": "compare_peers",
      "notes": "The slide highlights the significant disparity in funding volume between US-based foundational model companies and those in Europe/Israel.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/29",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-29",
      "loopMatches": [
        {
          "to": 29,
          "from": 23,
          "name": "Tale Two Worlds",
          "slug": "04-tale-two-worlds",
          "bestFor": "Competitive analysis, benchmarking, case for change",
          "matchId": "019de0f3-817e-739e-838e-56b8ad79c35a",
          "evidence": "Side-by-side EU/IL vs US bar charts on financing, late-stage, share, unicorns, deal sizes, Gen AI.",
          "position": 6,
          "objective": "Compare EU/Israel vs US funding to size the regional gap",
          "structure": "Current State -> Desired State / Benchmark -> The Gap & Implication",
          "confidence": 82,
          "description": "Show the gap between two states to drive urgency or highlight opportunity"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 30,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The slide uses a 'Market Update' tag and highlights academic metrics as a proxy for AI competitiveness.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/30",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-30",
      "loopMatches": [
        {
          "to": 32,
          "from": 30,
          "name": "David Goliath",
          "slug": "16-david-goliath",
          "bestFor": "Startups, disruptive innovation, competitive displacement",
          "matchId": "019de0f3-81a7-7308-953b-416de0d694dd",
          "evidence": "EU 50% more AI publications (p30), distributed talent map (p31), promising EU/IL Gen AI startups (p32).",
          "position": 7,
          "objective": "Argue EU/IL has the talent edge to catch up in Gen AI",
          "structure": "The Giant's Weakness -> Our Slingshot (Unique Edge) -> The Topple",
          "confidence": 78,
          "description": "Frame your initiative as the nimble underdog taking on a slow, bloated incumbent"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 31,
      "slideType": "geographic_map",
      "function": "establish_context",
      "notes": "The slide uses lines to connect logos/names of organizations to their respective locations on a map.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/31",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-31",
      "loopMatches": [
        {
          "to": 32,
          "from": 30,
          "name": "David Goliath",
          "slug": "16-david-goliath",
          "bestFor": "Startups, disruptive innovation, competitive displacement",
          "matchId": "019de0f3-81a7-7308-953b-416de0d694dd",
          "evidence": "EU 50% more AI publications (p30), distributed talent map (p31), promising EU/IL Gen AI startups (p32).",
          "position": 7,
          "objective": "Argue EU/IL has the talent edge to catch up in Gen AI",
          "structure": "The Giant's Weakness -> Our Slingshot (Unique Edge) -> The Topple",
          "confidence": 78,
          "description": "Frame your initiative as the nimble underdog taking on a slow, bloated incumbent"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 32,
      "slideType": "market_landscape",
      "function": "summarize",
      "notes": "The slide uses a logo-grid layout to categorize companies into three distinct layers of the AI stack.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/32",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-32",
      "loopMatches": [
        {
          "to": 32,
          "from": 30,
          "name": "David Goliath",
          "slug": "16-david-goliath",
          "bestFor": "Startups, disruptive innovation, competitive displacement",
          "matchId": "019de0f3-81a7-7308-953b-416de0d694dd",
          "evidence": "EU 50% more AI publications (p30), distributed talent map (p31), promising EU/IL Gen AI startups (p32).",
          "position": 7,
          "objective": "Argue EU/IL has the talent edge to catch up in Gen AI",
          "structure": "The Giant's Weakness -> Our Slingshot (Unique Edge) -> The Topple",
          "confidence": 78,
          "description": "Frame your initiative as the nimble underdog taking on a slow, bloated incumbent"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 32,
          "from": 3,
          "beatId": "019de0f3-8041-7358-93af-106809f614ed",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": null,
          "evidence": "Market Update section: NASDAQ recovery, tech titan growth, IPO/M&A, funding data.",
          "position": 1,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 33,
      "slideType": "section_divider",
      "function": "transition",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/33",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-33",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 42,
          "from": 33,
          "beatId": "019de0f3-8069-7090-82d8-7390446cd475",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": null,
          "evidence": "2023 Euroscape: who the winners are and what their profile reveals.",
          "position": 2,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 34,
      "slideType": "appendix_methodology",
      "function": "present_framework",
      "notes": "The slide uses a 'Who' vs 'How' framework to explain the research methodology.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/34",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-34",
      "loopMatches": [
        {
          "to": 37,
          "from": 34,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019de0f3-81cf-7288-b7c1-777b6e043625",
          "evidence": "Methodology (p34) -> graduates (p35) -> Top 100 grid (p36) -> at-a-glance KPIs (p37).",
          "position": 8,
          "objective": "Define the Euroscape population and surface its headline numbers",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 72,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 42,
          "from": 33,
          "beatId": "019de0f3-8069-7090-82d8-7390446cd475",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": null,
          "evidence": "2023 Euroscape: who the winners are and what their profile reveals.",
          "position": 2,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 35,
      "slideType": "other",
      "function": "summarize",
      "notes": "Part of the 2023 Euroscape deck.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/35",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-35",
      "loopMatches": [
        {
          "to": 37,
          "from": 34,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019de0f3-81cf-7288-b7c1-777b6e043625",
          "evidence": "Methodology (p34) -> graduates (p35) -> Top 100 grid (p36) -> at-a-glance KPIs (p37).",
          "position": 8,
          "objective": "Define the Euroscape population and surface its headline numbers",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 72,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 42,
          "from": 33,
          "beatId": "019de0f3-8069-7090-82d8-7390446cd475",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": null,
          "evidence": "2023 Euroscape: who the winners are and what their profile reveals.",
          "position": 2,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 36,
      "slideType": "market_landscape",
      "function": "present_framework",
      "notes": "The slide uses a grid-based taxonomy to organize companies by industry vertical and horizontal function.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/36",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-36",
      "loopMatches": [
        {
          "to": 37,
          "from": 34,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019de0f3-81cf-7288-b7c1-777b6e043625",
          "evidence": "Methodology (p34) -> graduates (p35) -> Top 100 grid (p36) -> at-a-glance KPIs (p37).",
          "position": 8,
          "objective": "Define the Euroscape population and surface its headline numbers",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 72,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 42,
          "from": 33,
          "beatId": "019de0f3-8069-7090-82d8-7390446cd475",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": null,
          "evidence": "2023 Euroscape: who the winners are and what their profile reveals.",
          "position": 2,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 37,
      "slideType": "kpi_dashboard",
      "function": "summarize",
      "notes": "The slide uses a 2x3 grid of metric cards to present high-level data.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/37",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-37",
      "loopMatches": [
        {
          "to": 37,
          "from": 34,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019de0f3-81cf-7288-b7c1-777b6e043625",
          "evidence": "Methodology (p34) -> graduates (p35) -> Top 100 grid (p36) -> at-a-glance KPIs (p37).",
          "position": 8,
          "objective": "Define the Euroscape population and surface its headline numbers",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 72,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 42,
          "from": 33,
          "beatId": "019de0f3-8069-7090-82d8-7390446cd475",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": null,
          "evidence": "2023 Euroscape: who the winners are and what their profile reveals.",
          "position": 2,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 38,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The chart uses a grouped bar format to show two time periods for each category.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/38",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-38",
      "loopMatches": [
        {
          "to": 42,
          "from": 38,
          "name": "Aha Moment",
          "slug": "03-aha-moment",
          "bestFor": "Data-heavy sections, research findings, analytical arguments",
          "matchId": "019de0f3-81f7-71da-867c-e6143f84f876",
          "evidence": "Hiring outlier Gen AI (p38), funding by category (p39), 5-yr median age (p40), leaner (p41), G2 lead (p42).",
          "position": 9,
          "objective": "Reveal that 2023 winners are Gen-AI-led, leaner, customer-obsessed",
          "structure": "The Problem/Question -> What the Data Shows -> The Insight",
          "confidence": 80,
          "description": "Establish a tension, present data, then deliver the insight that changes everything"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 42,
          "from": 33,
          "beatId": "019de0f3-8069-7090-82d8-7390446cd475",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": null,
          "evidence": "2023 Euroscape: who the winners are and what their profile reveals.",
          "position": 2,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 39,
      "slideType": "data_table",
      "function": "analyze_data",
      "notes": "The chart uses a grouped bar chart format to compare two years of funding data across 12 categories.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/39",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-39",
      "loopMatches": [
        {
          "to": 42,
          "from": 38,
          "name": "Aha Moment",
          "slug": "03-aha-moment",
          "bestFor": "Data-heavy sections, research findings, analytical arguments",
          "matchId": "019de0f3-81f7-71da-867c-e6143f84f876",
          "evidence": "Hiring outlier Gen AI (p38), funding by category (p39), 5-yr median age (p40), leaner (p41), G2 lead (p42).",
          "position": 9,
          "objective": "Reveal that 2023 winners are Gen-AI-led, leaner, customer-obsessed",
          "structure": "The Problem/Question -> What the Data Shows -> The Insight",
          "confidence": 80,
          "description": "Establish a tension, present data, then deliver the insight that changes everything"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 42,
          "from": 33,
          "beatId": "019de0f3-8069-7090-82d8-7390446cd475",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": null,
          "evidence": "2023 Euroscape: who the winners are and what their profile reveals.",
          "position": 2,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 40,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The chart compares company age cohorts across two years, with a clear peak at 4-5 years.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/40",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-40",
      "loopMatches": [
        {
          "to": 42,
          "from": 38,
          "name": "Aha Moment",
          "slug": "03-aha-moment",
          "bestFor": "Data-heavy sections, research findings, analytical arguments",
          "matchId": "019de0f3-81f7-71da-867c-e6143f84f876",
          "evidence": "Hiring outlier Gen AI (p38), funding by category (p39), 5-yr median age (p40), leaner (p41), G2 lead (p42).",
          "position": 9,
          "objective": "Reveal that 2023 winners are Gen-AI-led, leaner, customer-obsessed",
          "structure": "The Problem/Question -> What the Data Shows -> The Insight",
          "confidence": 80,
          "description": "Establish a tension, present data, then deliver the insight that changes everything"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 42,
          "from": 33,
          "beatId": "019de0f3-8069-7090-82d8-7390446cd475",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": null,
          "evidence": "2023 Euroscape: who the winners are and what their profile reveals.",
          "position": 2,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 41,
      "slideType": "data_table",
      "function": "analyze_data",
      "notes": "The slide uses grouped horizontal bar charts to compare two years across categorical buckets.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/41",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-41",
      "loopMatches": [
        {
          "to": 42,
          "from": 38,
          "name": "Aha Moment",
          "slug": "03-aha-moment",
          "bestFor": "Data-heavy sections, research findings, analytical arguments",
          "matchId": "019de0f3-81f7-71da-867c-e6143f84f876",
          "evidence": "Hiring outlier Gen AI (p38), funding by category (p39), 5-yr median age (p40), leaner (p41), G2 lead (p42).",
          "position": 9,
          "objective": "Reveal that 2023 winners are Gen-AI-led, leaner, customer-obsessed",
          "structure": "The Problem/Question -> What the Data Shows -> The Insight",
          "confidence": 80,
          "description": "Establish a tension, present data, then deliver the insight that changes everything"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 42,
          "from": 33,
          "beatId": "019de0f3-8069-7090-82d8-7390446cd475",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": null,
          "evidence": "2023 Euroscape: who the winners are and what their profile reveals.",
          "position": 2,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 42,
      "slideType": "kpi_dashboard",
      "function": "analyze_data",
      "notes": "Notes: Sales / Support category excluded due to low review count. Source: Accel Analysis, G2",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/42",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-42",
      "loopMatches": [
        {
          "to": 42,
          "from": 38,
          "name": "Aha Moment",
          "slug": "03-aha-moment",
          "bestFor": "Data-heavy sections, research findings, analytical arguments",
          "matchId": "019de0f3-81f7-71da-867c-e6143f84f876",
          "evidence": "Hiring outlier Gen AI (p38), funding by category (p39), 5-yr median age (p40), leaner (p41), G2 lead (p42).",
          "position": 9,
          "objective": "Reveal that 2023 winners are Gen-AI-led, leaner, customer-obsessed",
          "structure": "The Problem/Question -> What the Data Shows -> The Insight",
          "confidence": 80,
          "description": "Establish a tension, present data, then deliver the insight that changes everything"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 42,
          "from": 33,
          "beatId": "019de0f3-8069-7090-82d8-7390446cd475",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": null,
          "evidence": "2023 Euroscape: who the winners are and what their profile reveals.",
          "position": 2,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 43,
      "slideType": "agenda",
      "function": "transition",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/43",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-43",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 50,
          "from": 43,
          "beatId": "019de0f3-8090-72d1-8582-afa98d059142",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": null,
          "evidence": "What's Next divider then six forward-looking Gen AI trends p.44-50.",
          "position": 3,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 44,
      "slideType": "next_steps",
      "function": "state_next_steps",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/44",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-44",
      "loopMatches": [
        {
          "to": 50,
          "from": 44,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019de0f3-821e-745b-8df2-70ceaa089c9d",
          "evidence": "Six trends preview (p44) then one slide per trend with data + logos (p45-50).",
          "position": 10,
          "objective": "Stack six forward-looking Gen AI trends as the path forward",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 50,
          "from": 43,
          "beatId": "019de0f3-8090-72d1-8582-afa98d059142",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": null,
          "evidence": "What's Next divider then six forward-looking Gen AI trends p.44-50.",
          "position": 3,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 45,
      "slideType": "industry_trends",
      "function": "present_solution",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/45",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-45",
      "loopMatches": [
        {
          "to": 50,
          "from": 44,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019de0f3-821e-745b-8df2-70ceaa089c9d",
          "evidence": "Six trends preview (p44) then one slide per trend with data + logos (p45-50).",
          "position": 10,
          "objective": "Stack six forward-looking Gen AI trends as the path forward",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 50,
          "from": 43,
          "beatId": "019de0f3-8090-72d1-8582-afa98d059142",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": null,
          "evidence": "What's Next divider then six forward-looking Gen AI trends p.44-50.",
          "position": 3,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 46,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "Includes logos of major Gen AI players: Stability AI, ElevenLabs, Runway, Synthesia, Midjourney, PhotoRoom.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/46",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-46",
      "loopMatches": [
        {
          "to": 50,
          "from": 44,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019de0f3-821e-745b-8df2-70ceaa089c9d",
          "evidence": "Six trends preview (p44) then one slide per trend with data + logos (p45-50).",
          "position": 10,
          "objective": "Stack six forward-looking Gen AI trends as the path forward",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 50,
          "from": 43,
          "beatId": "019de0f3-8090-72d1-8582-afa98d059142",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": null,
          "evidence": "What's Next divider then six forward-looking Gen AI trends p.44-50.",
          "position": 3,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 47,
      "slideType": "market_landscape",
      "function": "present_framework",
      "notes": "The slide uses a simple list-based segmentation to categorize the Gen AI tooling landscape.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/47",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-47",
      "loopMatches": [
        {
          "to": 50,
          "from": 44,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019de0f3-821e-745b-8df2-70ceaa089c9d",
          "evidence": "Six trends preview (p44) then one slide per trend with data + logos (p45-50).",
          "position": 10,
          "objective": "Stack six forward-looking Gen AI trends as the path forward",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 50,
          "from": 43,
          "beatId": "019de0f3-8090-72d1-8582-afa98d059142",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": null,
          "evidence": "What's Next divider then six forward-looking Gen AI trends p.44-50.",
          "position": 3,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 48,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "The slide highlights the shift towards Gen AI-native automation tools and provides a market sentiment indicator via a bar chart.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/48",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-48",
      "loopMatches": [
        {
          "to": 50,
          "from": 44,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019de0f3-821e-745b-8df2-70ceaa089c9d",
          "evidence": "Six trends preview (p44) then one slide per trend with data + logos (p45-50).",
          "position": 10,
          "objective": "Stack six forward-looking Gen AI trends as the path forward",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 50,
          "from": 43,
          "beatId": "019de0f3-8090-72d1-8582-afa98d059142",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": null,
          "evidence": "What's Next divider then six forward-looking Gen AI trends p.44-50.",
          "position": 3,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 49,
      "slideType": "industry_trends",
      "function": "establish_context",
      "notes": "Includes a logo grid of representative modern data stack companies.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/49",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-49",
      "loopMatches": [
        {
          "to": 50,
          "from": 44,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019de0f3-821e-745b-8df2-70ceaa089c9d",
          "evidence": "Six trends preview (p44) then one slide per trend with data + logos (p45-50).",
          "position": 10,
          "objective": "Stack six forward-looking Gen AI trends as the path forward",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 50,
          "from": 43,
          "beatId": "019de0f3-8090-72d1-8582-afa98d059142",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": null,
          "evidence": "What's Next divider then six forward-looking Gen AI trends p.44-50.",
          "position": 3,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 50,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "Includes a logo grid of relevant cybersecurity vendors.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/50",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-50",
      "loopMatches": [
        {
          "to": 50,
          "from": 44,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019de0f3-821e-745b-8df2-70ceaa089c9d",
          "evidence": "Six trends preview (p44) then one slide per trend with data + logos (p45-50).",
          "position": 10,
          "objective": "Stack six forward-looking Gen AI trends as the path forward",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 50,
          "from": 43,
          "beatId": "019de0f3-8090-72d1-8582-afa98d059142",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": null,
          "evidence": "What's Next divider then six forward-looking Gen AI trends p.44-50.",
          "position": 3,
          "confidence": 88,
          "parentBeatName": null,
          "parentBeatSlug": null
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 51,
      "slideType": "table_of_contents",
      "function": "front_matter",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/51",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-51",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 52,
      "slideType": "appendix_data",
      "function": "summarize",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/52",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-52",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 53,
      "slideType": "closing_ask",
      "function": "summarize",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/53",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-53",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "docSlug": "144b47269c1f560e",
      "documentTitle": "2023 Accel Generation AI",
      "authorId": "Accel",
      "authorName": "Accel",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 54,
      "slideType": "appendix_disclosure",
      "function": "other",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-c94988b4c44e/54",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-c94988b4c44e#slide-54",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "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": 1,
      "slideType": "cover",
      "function": "front_matter",
      "notes": "The visual is a clear reference to Pac-Man, symbolizing AI's disruptive integration into the software landscape.",
      "imagePath": "https://imgproxy.kitesheet.com/1AR1lTfyDb3MvRcMwV-eIyzvpzIVHL-HpEmrBoQTWrM/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy80ZmZkYTgwNDM0OGI0Mjc0L3AwMDEuanBn",
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-cd66aa158518/1",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-cd66aa158518",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-cd66aa158518#slide-1",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": "https://imgproxy.kitesheet.com/fvn8aLwp6SmuolN3UYgQ4OfVlSC79P_h5MDagZ6CE2Q/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy80ZmZkYTgwNDM0OGI0Mjc0L3AwMDEucG5n",
      "thumbSrc": "https://imgproxy.kitesheet.com/YVvhKxMaK-O9y2-FxuPBuvevLcicwG-DX70ygiUU5rw/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy80ZmZkYTgwNDM0OGI0Mjc0L3AwMDEuanBn",
      "thumbSrcAlt": "https://imgproxy.kitesheet.com/MO8PJcm9UOimUn0gXswbuVavRqrBSYc4jyo5IZy9sRA/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy80ZmZkYTgwNDM0OGI0Mjc0L3AwMDEucG5n"
    }
  ]
}