/* @manifest:begin { "manifest_version": 1, "object": "bi-family-tree", "type": "dive", "app": "bi-family-tree", "database": "bi_universe", "label": "Dive", "url": "https://app.motherduck.com/dives/333dbe43-a523-4f02-9eda-ed96f6f1d37c", "reads_from": [ "view:bi_nodes", "view:bi_lineage_edges", "table:bi_deals", "table:bi_careers", "table:bi_founders", "table:bi_companies" ], "delivers_for": [], "feeds": [] } @manifest:end */ import { useSQLQuery, useDiveState } from "@motherduck/react-sql-query"; import { useEffect, useMemo, useRef, useState } from "react"; export const REQUIRED_DATABASES = [ { type: "share", path: "md:_share/bi_universe/9f818a91-1842-4a15-b3f1-809bdce162da", alias: "bi_universe" }, // link-only share, so viewers outside Ryan's org can read it ]; // ---------------------------------------------------------------- house style const NUM_FONT = '-apple-system, "Segoe UI", Roboto, Helvetica, Arial, sans-serif'; const BODY_FONT = "Georgia, 'Times New Roman', serif"; // Page shell is dark to match the star-map stages (an exception to the light house style, Ryan 2026-10-12). const C = { bg: "#0a0e13", text: "#f3f5f7", muted: "#8b97a6", accent: "#5cc3ff", pos: "#7ad66b", neg: "#ff7b6b", border: "#2a3441", sep: "#1a222c", panel: "#121922", hi: "rgba(92,195,255,.10)", skel: "#1c2530" }; const PALETTE = ["#0777b3", "#bd4e35", "#2d7a00", "#e18727", "#638cad", "#adadad"]; const N = (v: unknown): number => (v == null ? 0 : Number(v)); const S = (v: unknown): string => (v == null ? "" : String(v)); const B = (v: unknown): boolean | null => (v == null ? null : Boolean(v)); const AS_OF = 2026; // ---------------------------------------------------------------- types type Company = { id: string; name: string; nodeType: string; category: string; generation: string; status: string; founded: number | null; endYear: number | null; yearsIndep: number | null; primaryParent: string; parents: string; children: number; acquirer: string; acqYear: number | null; acqPrice: number | null; acqKind: string; funding: number | null; fundingNote: string; lineage: boolean | null; pool: string; inWave: boolean; hq: string; confidence: string; notes: string; sankeyCol: number | null; stints: number; isRoot: boolean; bigTech: boolean; bigTechFounder: string; bigTechEmployer: string; valueKind: string; valueUsd: number | null; valueYear: number | null; value2026: number | null; valueWho: string; valueSource: string; }; type Edge = { type: string; source: string; target: string; founderId: string; label: string; seat: string; year: number | null; value: number | null; confidence: string }; type Stint = { founderId: string; founderName: string; seq: number; companyId: string; company: string; nodeType: string; role: string; seat: string; isBi: boolean; how: string; start: number | null; end: number | null; confidence: string }; type LineageRow = { founderId: string; founderName: string; from: string; fromName: string; to: string; toName: string; role: string; seat: string; confidence: string; rel: string; gap: number | null }; // ---------------------------------------------------------------- small UI bits function ConfBadge({ c }: { c: string }) { const col = c === "high" ? C.pos : c === "medium" ? "#b8860b" : C.neg; return ( {c || "?"} ); } function Dropdown({ label, value, options, onChange }: { label: string; value: string; options: { value: string; label: string }[]; onChange: (v: string) => void }) { const [open, setOpen] = useState(false); const ref = useRef(null); useEffect(() => { if (!open) return; const h = (e: MouseEvent) => { if (ref.current && !ref.current.contains(e.target as Node)) setOpen(false); }; document.addEventListener("mousedown", h); return () => document.removeEventListener("mousedown", h); }, [open]); const selected = options.find((o) => o.value === value); const active = value !== options[0]?.value; return (

{label}

setOpen(!open)} style={{ fontFamily: NUM_FONT, fontSize: 11, color: active ? C.text : C.muted, background: active ? C.hi : C.panel, border: `1px solid ${active ? C.accent : C.border}`, borderRadius: 3, padding: "5px 24px 5px 10px", cursor: "pointer", userSelect: "none", whiteSpace: "nowrap", position: "relative", fontWeight: active ? 600 : 400 }}> {/* every option sits in the same grid cell (only the selected one visible), so the box is always as wide as the longest option and the filters beside it never shift when the selection changes (Ryan, 2026-10-13) */} {options.map((o) => {o.label})} {selected?.label || value} {open ? "▴" : "▾"}

{open && (

{options.map((o) => (

{ onChange(o.value); setOpen(false); }} style={{ fontFamily: NUM_FONT, fontSize: 11, padding: "5px 10px", cursor: "pointer", whiteSpace: "nowrap", background: o.value === value ? C.hi : C.panel, color: C.text }} onMouseEnter={(e) => (e.currentTarget.style.background = C.skel)} onMouseLeave={(e) => (e.currentTarget.style.background = o.value === value ? C.hi : C.panel)}> {o.label}

))}

)}

); } const fmtM = (v: number | null) => (v == null ? "" : v >= 1000 ? `$${(v / 1000).toFixed(1)}B` : `$${v % 1 === 0 ? v.toFixed(0) : v.toFixed(1)}M`); const GEN_ORDER = ["pre2000", "wave2000s", "wave2010s", "current"]; const GEN_LABEL: Record = { pre2000: "1990s & earlier", wave2000s: "2000s", wave2010s: "2010s", current: "2020s" }; const pct = (a: number, b: number) => (b ? `${Math.round((100 * a) / b)}%` : "—"); // ---------------------------------------------------------------- dark stage (story + explore) const DARK = { bg: "#0f141b", text: "#f3f5f7", muted: "#8b97a6", line: "rgba(255,255,255,.28)", ai: "#5cc3ff" }; // Slow-drifting, twinkling starfield behind the story stage. Deterministic (seeded) so it doesn't jump between renders. function Starfield() { const stars = useMemo(() => { let seed = 7; const rnd = () => ((seed = (seed * 16807) % 2147483647) / 2147483647); return Array.from({ length: 90 }, () => ({ x: rnd() * 100, y: rnd() * 100, r: 0.5 + rnd() * 1.6, o: 0.15 + rnd() * 0.5, dx: (rnd() - 0.5) * 40, dy: (rnd() - 0.5) * 30, dur: 18 + rnd() * 30, tw: 3 + rnd() * 5, delay: -rnd() * 30 })); }, []); return (

{stars.map((st, k) => (

1.5 ? "0 0 6px rgba(160,210,255,.7)" : "none", animation: `bift-twinkle ${st.tw}s ease-in-out ${st.delay}s infinite` }} />

))}

); } // Every line "extends" from its start (Ryan, 2026-10-13): a mask whose stroke grows along the path reveals it, so dashed // lines draw exactly like solid ones instead of fading in. function DrawMask({ id, d, dur, delay }: { id: string; d: string; dur: number; delay: number }) { return ; } // ---------------------------------------------------------------- coaching graph (the star map's family links) // Edge A -> B when a traced founder had a BI stop at A and their next BI stop founded LATER than A is B (backward hops // into older acquirers are skipped: Adaytum -> Cognos -> Anaplan yields Adaytum -> Anaplan and Cognos -> Anaplan). // founded = someone from `from` started `to`; joined = a future founder's next job (they worked at `to`, founded later) type TEdge = { from: string; to: string; founded: boolean; acq?: boolean; people: { name: string; role: string; kind: "founded" | "joined" }[] }; // PINNED-POSITIONS:BEGIN (generated by pin_positions.py from map-positions.json; edit the JSON, not this) const PINNED: Record<"tree" | "money", Record> = {"tree":{"spotfire":[690,486],"recorded_future":[1122,1101],"cognos":[200,882],"tableau":[905,882],"golden":[2359,1007],"cleargraph":[1359,1641],"spindle":[1747,757],"dataiku":[1289,436],"kaelio":[2116,681],"palantir":[927,1158],"upsolve":[2019,1423],"microstrategy":[519,895],"clarabridge":[986,605],"bitboard":[2198,503],"hex":[1619,499],"hyperion":[398,1080],"pentaho":[938,500],"looker":[1271,1114],"omni":[1901,970],"thoughtspot":[1265,972],"netspring":[1624,1149],"metamarkets":[1166,733],"rill":[1718,1314],"sisense":[953,737],"firebolt":[1605,325],"ridge":[2360,1132],"caliper":[2006,882],"athena":[1987,1493],"outlooksoft":[778,1169],"tidemark":[1177,891],"gravity":[2151,1114],"periscope":[1268,821],"modelbit":[1915,689],"adaytum":[529,390],"anaplan":[1030,1257],"clarity_systems":[524,642],"vena":[1202,507],"trifacta":[1241,1248],"data_literacy":[1567,632],"zoomdata":[1254,1365],"vizlib":[1427,1354],"astrato":[1996,1649],"stitch":[1471,1045],"siebel_analytics":[795,1307],"birst":[966,1018],"scoop":[1996,471],"seekwell":[1540,1337],"definite":[2131,962],"dataspark":[1782,878],"buster":[1980,1164],"friendlydata":[1442,1223],"narrative_bi":[1681,388],"plotly":[1255,310],"vizly":[2005,1345],"businessobjects":[532,1034],"visier":[1179,405],"solid":[2146,1257],"push_ai":[1884,769],"imply":[1401,1467],"einstein_analytics":[1344,1758],"hyperarc":[1858,616],"aily_labs":[1651,1058],"airbook":[1795,679],"akkio":[1619,1012],"arcwise":[1864,537],"athenic":[1887,1735],"basedash":[1669,1232],"brewit":[2045,1716],"briefer":[1896,874],"cotera":[1784,1092],"count":[1452,1643],"datagpt":[1812,1042],"dataherald":[1795,988],"datalogz":[1761,1623],"defog":[2038,735],"delphi_labs":[1913,512],"dot":[1822,1155],"euno":[1994,1029],"evidence":[1824,1607],"fabi":[1990,998],"findly":[1916,1687],"fluent":[1827,1249],"formula_bot":[1911,1324],"hashboard":[1814,523],"honeydew":[1925,1064],"inconvo":[1963,808],"julius":[1973,1243],"kater":[2022,788],"kausa":[1702,474],"lightdash":[1737,1121],"lopus":[2078,821],"lumi":[2019,963],"menza":[2056,1764],"metabase":[1352,1547],"minusx":[2146,1370],"motherduck":[1929,1225],"nao_labs":[2152,1427],"numbers_station":[1773,1199],"onvo":[2046,1078],"othor":[2084,1813],"pandasai":[2042,623],"powerdrill":[2029,1811],"preset":[1564,1225],"querio":[1996,1567],"quill":[1885,1104],"redbird":[1549,545],"seek_ai":[1748,1405],"sigma":[1366,1025],"sourcetable":[1667,708],"steep":[1742,1008],"sundial":[1772,371],"supaboard":[2024,1055],"supersimple":[1775,488],"textql":[1883,1264],"vanna":[2018,571],"waii":[2049,1007],"wisdomai":[2010,686],"wobby":[1996,1275],"wren":[2166,763],"zenlytic":[1660,1440],"zing":[1762,434],"camelai":[2034,1113]},"money":{"spotfire":[690,486],"recorded_future":[1122,1023],"cognos":[200,509],"tableau":[905,1203],"golden":[2359,1041],"cleargraph":[1359,1658],"spindle":[1747,1480],"dataiku":[1289,582],"kaelio":[2116,674],"palantir":[927,975],"upsolve":[2019,1439],"microstrategy":[519,777],"clarabridge":[986,589],"bitboard":[2198,503],"hex":[1619,601],"hyperion":[398,1234],"pentaho":[938,463],"looker":[1271,1171],"omni":[1901,972],"thoughtspot":[1265,937],"netspring":[1624,1128],"metamarkets":[1166,760],"rill":[1718,1294],"sisense":[953,732],"firebolt":[1605,344],"ridge":[2360,1617],"caliper":[2006,807],"athena":[1987,1499],"outlooksoft":[778,1407],"tidemark":[1177,859],"gravity":[2151,1178],"periscope":[1268,793],"modelbit":[1915,732],"adaytum":[529,558],"anaplan":[1030,1527],"clarity_systems":[524,668],"vena":[1202,370],"trifacta":[1241,1336],"data_literacy":[1567,689],"zoomdata":[1254,1456],"vizlib":[1427,1360],"astrato":[1996,1654],"stitch":[1471,1093],"siebel_analytics":[795,1513],"birst":[966,869],"scoop":[1996,471],"seekwell":[1540,1403],"definite":[2131,981],"dataspark":[1782,797],"buster":[1980,1174],"friendlydata":[1442,1269],"narrative_bi":[1681,412],"plotly":[1255,468],"vizly":[2005,1374],"businessobjects":[532,998],"visier":[1179,653],"solid":[2146,1079],"push_ai":[1884,804],"imply":[1401,1460],"einstein_analytics":[1344,1747],"hyperarc":[1858,666],"aily_labs":[1651,1025],"airbook":[1795,722],"akkio":[1619,958],"arcwise":[1864,589],"athenic":[1887,1744],"basedash":[1669,1214],"brewit":[2045,1716],"briefer":[1896,883],"cotera":[1784,994],"count":[1452,1601],"datagpt":[1812,930],"dataherald":[1795,875],"datalogz":[1761,1623],"defog":[2038,729],"delphi_labs":[1913,553],"dot":[1822,1155],"euno":[1994,1044],"evidence":[1824,1607],"fabi":[1990,1005],"findly":[1916,1689],"fluent":[1827,1241],"formula_bot":[1911,1343],"hashboard":[1814,566],"honeydew":[1925,1079],"inconvo":[1963,888],"julius":[1973,1265],"kater":[2022,889],"kausa":[1702,543],"lightdash":[1737,1038],"lopus":[2078,909],"lumi":[2019,951],"menza":[2056,1766],"metabase":[1352,1560],"minusx":[2146,1369],"motherduck":[1929,1230],"nao_labs":[2152,1429],"numbers_station":[1773,1199],"onvo":[2046,1094],"othor":[2084,1826],"pandasai":[2042,609],"powerdrill":[2029,1811],"preset":[1564,1225],"querio":[1996,1574],"quill":[1885,1131],"redbird":[1549,776],"seek_ai":[1748,1385],"sigma":[1366,1031],"sourcetable":[1667,750],"steep":[1742,948],"sundial":[1772,416],"supaboard":[2024,1069],"supersimple":[1775,527],"textql":[1883,1264],"vanna":[2018,558],"waii":[2049,1016],"wisdomai":[2010,669],"wobby":[1996,1307],"wren":[2166,760],"zenlytic":[1660,1518],"zing":[1762,473],"camelai":[2034,1130]}}; // PINNED-POSITIONS:END const FAMILY_HUES = ["#5cc3ff", "#ff9d5c", "#a18cff", "#4fe0a5", "#ff6b9a", "#ffd65c", "#6be4ff", "#c8f060"]; // acqFlow (Ryan chose this for Explore, 2026-10-12): edges follow each career stop to stop, so an acquisition step is its own // line running back in time into the buyer (Adaytum -> Cognos -> Anaplan) and there is no Adaytum -> Anaplan skip line. // Acquisition lines are drawn and lit, but never count toward families, colours or tree size. function useCoachingGraph(byId: Map, stints: Stint[], acqFlow = false) { return useMemo(() => { const yr = (id: string) => byId.get(id)?.founded ?? null; const edges = new Map(); const byF = new Map(); for (const st of stints) { if (!byF.has(st.founderId)) byF.set(st.founderId, []); byF.get(st.founderId)!.push(st); } const careers: { stops: Stint[]; keys: string[] }[] = []; for (const path of byF.values()) { const stops = [...path].sort((a, b) => a.seq - b.seq).filter((st) => st.isBi && yr(st.companyId) != null); const career = { stops, keys: [] as string[] }; careers.push(career); for (let i = 0; i < stops.length; i++) { const a = stops[i]; const b = acqFlow ? stops[i + 1] : stops.slice(i + 1).find((x) => yr(x.companyId)! > yr(a.companyId)!); if (!b) continue; const k = `${a.companyId}>${b.companyId}`; career.keys.push(k); const acq = acqFlow && b.how === "via-acquisition" && yr(b.companyId)! <= yr(a.companyId)!; if (!edges.has(k)) edges.set(k, { from: a.companyId, to: b.companyId, founded: false, acq, people: [] }); const e = edges.get(k)!; const kind = b.how === "founded" ? "founded" : "joined"; if (kind === "founded") e.founded = true; if (!e.people.some((p) => p.name === a.founderName)) e.people.push({ name: a.founderName, role: a.role, kind }); } } // "Bought by" steps run backward in time (ClearGraph 2014 -> Tableau 2003), so they aren't edges; tagged on hover only. const bought = new Map(); for (const c of careers) for (let i = 1; i < c.stops.length; i++) { const a = c.stops[i - 1], b = c.stops[i]; if (b.how !== "via-acquisition" || yr(b.companyId)! > yr(a.companyId)!) continue; const k = `${a.companyId}>${b.companyId}`; if (!bought.has(k)) bought.set(k, { from: a.companyId, to: b.companyId, people: [], year: b.start ?? null }); if (!bought.get(k)!.people.includes(a.founderName)) bought.get(k)!.people.push(a.founderName); } const E = Array.from(edges.values()); const out = new Map(), inn = new Map(); for (const e of E) { if (e.acq) continue; if (!out.has(e.from)) out.set(e.from, []); out.get(e.from)!.push(e); if (!inn.has(e.to)) inn.set(e.to, []); inn.get(e.to)!.push(e); } const ids = Array.from(new Set(E.flatMap((e) => [e.from, e.to]))); const reach = (id: string, m: Map, key: "to" | "from", seen = new Set()): Set => { for (const e of m.get(id) ?? []) if (!seen.has(e[key])) { seen.add(e[key]); reach(e[key], m, key, seen); } return seen; }; const down = new Map(ids.map((id) => [id, reach(id, out, "to")])); const up = new Map(ids.map((id) => [id, reach(id, inn, "from")])); // family = the root (no incoming edge) with the biggest tree among this node's ancestors (or itself) const roots = ids.filter((id) => !inn.has(id)).sort((a, b) => down.get(b)!.size - down.get(a)!.size || yr(a)! - yr(b)!); const family = new Map(); for (const r of roots) for (const d of [r, ...down.get(r)!]) if (!family.has(d)) family.set(d, r); const hue = new Map(); roots.forEach((r, i) => hue.set(r, down.get(r)!.size >= 2 && i < FAMILY_HUES.length ? FAMILY_HUES[i] : "#8a97a8")); // Dynasties inside a family (Ryan, 2026-10-02): a non-root star with 3+ descendants (Tableau) gets its own colour, // and its descendants take it – so Tableau reads as its own dynasty, not a facet of Cognos. const DYNASTY_HUES = ["#ff6f61", "#f7c948", "#e58cff"]; const heads = ids.filter((id) => inn.has(id) && down.get(id)!.size >= 3).sort((a, b) => down.get(b)!.size - down.get(a)!.size); heads.forEach((h, i) => hue.set(h, DYNASTY_HUES[i % DYNASTY_HUES.length])); const owner = new Map(); // nearest coloured ancestor-or-self const ownerOf = (id: string): string => { if (owner.has(id)) return owner.get(id)!; let best = family.get(id) ?? id; if (hue.has(id) && (heads.includes(id) || !inn.has(id))) best = id; else { let bestD = Infinity; const q: [string, number][] = [[id, 0]]; const seen = new Set([id]); while (q.length) { const [u, d] = q.shift()!; if (d > 0 && heads.includes(u) && d < bestD) { bestD = d; best = u; } for (const e of inn.get(u) ?? []) if (!seen.has(e.from)) { seen.add(e.from); q.push([e.from, d + 1]); } } } owner.set(id, best); return best; }; const boughtBy = new Map(); // acquired -> buyer, from founders' via-acquisition steps for (const c of careers) for (let i = 1; i < c.stops.length; i++) if (c.stops[i].how === "via-acquisition") boughtBy.set(c.stops[i - 1].companyId, c.stops[i].companyId); const baseColor = (id: string) => hue.get(ownerOf(id)) ?? hue.get(family.get(id) ?? id) ?? "#8a97a8"; const colorOf = (id: string): string => { let x = id; for (let n = 0; n < 5 && boughtBy.has(x); n++) x = boughtBy.get(x)!; return baseColor(x); }; // ring colour for a dynasty head = the colour it inherited before it became its own dynasty const ringOf = (id: string): string | null => { if (!heads.includes(id)) return null; const ps = (inn.get(id) ?? []).map((e) => colorOf(e.from)).filter((c) => c !== colorOf(id)); return ps[0] ?? null; }; // A star's line = the careers of the people who passed through it (Ryan, 2026-10-12): Ridge lights Tableau via // Ellie Fields, but not Cognos, because nobody went Cognos -> Ridge. Chaining company links merged two careers. const walkedBy = new Map>(); // person -> every company on their path for (const c of careers) if (c.stops.length) walkedBy.set(c.stops[0].founderName, new Set(c.stops.map((st) => st.companyId))); const lineNodes = new Map>(), lineEdges = new Map>(), foundedAfter = new Map>(); for (const c of careers) for (let i = 0; i < c.stops.length; i++) { const id = c.stops[i].companyId; if (!lineNodes.has(id)) { lineNodes.set(id, new Set([id])); lineEdges.set(id, new Set()); foundedAfter.set(id, new Set()); } if (!c.keys.length) continue; c.stops.forEach((st) => lineNodes.get(id)!.add(st.companyId)); c.keys.forEach((k) => lineEdges.get(id)!.add(k)); for (let j = 1; j < c.stops.length; j++) lineEdges.get(id)!.add(`${c.stops[j - 1].companyId}>${c.stops[j].companyId}`); c.stops.slice(i + 1).filter((st) => st.how === "founded" && st.companyId !== id).forEach((st) => foundedAfter.get(id)!.add(st.companyId)); } return { E, ids, out, inn, down, up, roots, family, colorOf, ringOf, yr, lineNodes, lineEdges, foundedAfter, walkedBy, careers, bought: Array.from(bought.values()) }; }, [byId, stints, acqFlow]); } type CGraph = ReturnType; const shortName = (n: string) => n.replace(/ $.*$$/, "").replace("Salesforce Einstein Analytics", "Einstein Analytics"); const KIND_WORD: Record = { acquisition: "acquisition", ipo: "market value at IPO", ipo_raise: "raised at IPO", valuation: "valuation", raised: "raised in total" }; function ValueLine({ c }: { c?: Company }) { if (!c || c.value2026 == null) return

No public money figure found.

; return (

{fmtM(c.value2026)} in 2026 dollars

{fmtM(c.valueUsd)} {KIND_WORD[c.valueKind] ?? c.valueKind}{c.valueWho ? ` (${c.valueWho}` : ""}{c.valueYear ? `${c.valueWho ? ", " : " ("}${c.valueYear})` : c.valueWho ? ")" : ""}

); } // Side panel shared by Network + Flow: who came from where, with names. function LinkPanel({ id, g, byId }: { id: string | null; g: CGraph; byId: Map }) { const sel = id ? byId.get(id) : undefined; return (

{!sel ?

Hover a company to light up its constellation. Click to pin it.

: ( <>

{shortName(sel.name)}

{[sel.founded && `founded ${sel.founded}`, sel.acquirer ? `acquired by ${sel.acquirer} ${sel.acqYear ?? ""}` : null].filter(Boolean).join(" · ")}

{(["in", "out"] as const).map((dir) => { const es = (dir === "in" ? g.inn.get(sel.id) : g.out.get(sel.id)) ?? []; if (!es.length) return null; return (

{dir === "in" ? "Came from" : "Went on to"}

{es.map((e) => { const other = byId.get(dir === "in" ? e.from : e.to); return (

${e.to}`} style={{ fontSize: 13, marginBottom: 6, lineHeight: 1.35 }}> {shortName(other?.name ?? "")} {e.people.map((pp) =>

{pp.name}{pp.kind === "joined" ? (dir === "in" ? " – joined from here" : " – joined, founded later") : ""}

)}

); })}

{(() => { const n = g.foundedAfter.get(sel.id)?.size ?? 0; return n ? `People who passed through here went on to found ${n} ${n === 1 ? "company" : "companies"}.` : "End of the line, as far as we've traced."; })()}

)}

); } // ---------------------------------------------------------------- Star map (Explore view; also the Story stage) // Explorable star map. Connected companies are force-settled on a large canvas (time pulls loosely left -> right); // every other BI vendor / wave company is a lone star at its founding year. Pan (drag) + zoom (wheel, buttons); // labels are screen-constant and appear by zoom level (families first, then small names, then lone stars). // A story beat drives the star map: which stars show, which are lit (family colour + lines), where the camera fits. type StoryBeat = { key: string; visible: Set | null; lit: Set | null; fit: string[] | null; flyIn: boolean; neutral: boolean; edges: boolean; showAxis: boolean; fan?: boolean; // spread the 2020+ stars across the whole sky (the "explosion") marker?: { year: number; label: string; left?: [string, string]; right?: [string, string] }; // a vertical line on the time axis (e.g. ChatGPT's launch); optional big [number, caption] each side labels?: boolean; // false = don't name the lit stars (too many to read) quack?: string; // star id that gets a little animated "quack quack" (MotherDuck, Ryan 2026-10-13) linksAtOnce?: boolean; // draw every story link together (like the family lines on the Cognos beat) instead of one after another links?: { from: string; to: string; label: string; solid?: boolean; color?: string; bend?: number }[]; // bend: -1 arcs up (default), +1 down // story-only connections (e.g. "acquired by") notes?: { at: string; text: string; below?: boolean }[]; // small annotations beside a star (below = centred under its name) clusters?: { name: string; color: string; ids: string[]; big?: string; r?: number; x?: number; y?: number; delay?: number; sub?: string; fs?: number; plain?: boolean }[]; // plain = stars drawn white, ignoring family colour // pull these stars into labelled bubbles; big = headline number over the label; r/x/y = own size and fixed centre; delay = seconds before it appears stagger?: number; pinYears?: boolean; clusterR?: number; // bubble radius for this beat (default 270) split?: number; // ms after arriving: clustered stars leave their bubble and settle just outside it, joined by a line mono?: string; // one colour for every lit star (ignores family colours), and the unlit visible stars drawn as countable grey stars // put every visible star exactly inside its founding year (so stars sit on the correct side of a marker) // seconds between clusters: each bubble and its stars fly in after the previous one pop?: string[]; // stars that arrive with a burst (the new acquisitions) tidy?: string; // root id: rearrange the lit family into an untangled tree (x stays at founding year) rows?: string[][]; padLeft?: number; fitPts?: { x: number; y: number }[] }; // frame the camera on these world points instead of the fit stars (beats that must share one frame) // extra room left of the stars for the caption card (default 520) // one band per row, first id = the parent; x stays at founding year, the rest step off the band function NetworkView({ g, byId, story }: { g: CGraph; byId: Map; story?: StoryBeat | null }) { const [hover, setHover] = useState(null); const [pin, setPin] = useState(null); const [view, setView] = useState({ k: 1, tx: 0, ty: 0 }); const svgRef = useRef(null); const drag = useRef<{ x: number; y: number; tx: number; ty: number; moved: boolean } | null>(null); const active = story ? null : hover ?? pin; // Story: hovering or clicking a star shows the same info panel as Explore, without changing what the slide lights up (Ryan, 2026-10-13) const storySel0 = story ? hover ?? pin : null; const storySel = storySel0 && (!story?.visible || story.visible.has(storySel0)) ? storySel0 : null; // hidden stars stay silent useEffect(() => { setPin(null); setHover(null); }, [story?.key]); const W = 2600, H = 2100; // time axis stretched toward the present: most companies (and nearly all lone stars) are 2015+ const STOPS: [number, number][] = [[1965, 0], [1990, 0.17], [2000, 0.29], [2010, 0.44], [2015, 0.54], [2020, 0.66], [2027, 1]]; const X = (y: number) => { const v = Math.max(1965, Math.min(2027, y)); for (let i = 1; i < STOPS.length; i++) if (v <= STOPS[i][0]) { const [a, fa] = STOPS[i - 1], [b, fb] = STOPS[i]; return 140 + (fa + ((v - a) / (b - a)) * (fb - fa)) * (W - 280); } return W - 140; }; // By founding year: a field of stars. x = founding year (jittered within the year), y scattered freely and spread // so stars don't overlap. No lanes and no lines by default – a family's lines draw in only when one of its stars is // hovered or clicked (lines on a time axis are long and horizontal, so all of them at once reads as wiring). // Size by: tree size (descendants) or money (largest known real-money endpoint, 2026 dollars; area ~ value). const [sizeBy, setSizeBy] = useState<"tree" | "money">("tree"); const maxVal = useMemo(() => Math.max(1, ...Array.from(byId.values()).map((c) => c.value2026 ?? 0)), [byId]); const moneyR = (c?: Company) => (c?.value2026 ? 3 + Math.sqrt(c.value2026 / maxVal) * 46 : 2.5); const S0 = 0.36; // approx. world->screen scale at default zoom // Tidy tree y-positions for a family: children ordered by founding year, leaves spaced `gap` apart around `cy`, each // parent centred on its children (a tree laid out this way has no crossings). Used by Explore (Cognos) and the Story. const tidyYs = (root: string, lit: Set, gap: number, cy: number) => { const kids = new Map(); const seen = new Set([root]); const q = [root]; while (q.length) { const u = q.shift()!; const cs = (g.out.get(u) ?? []).map((e) => e.to).filter((v) => lit.has(v) && !seen.has(v)).sort((a, b) => (byId.get(a)?.founded ?? 0) - (byId.get(b)?.founded ?? 0)); cs.forEach((v) => seen.add(v)); kids.set(u, cs); q.push(...cs); } const leaves: string[] = []; const walk = (u: string) => { const cs = kids.get(u) ?? []; if (!cs.length) leaves.push(u); cs.forEach(walk); }; walk(root); const top = cy - (gap * (leaves.length - 1)) / 2; const ys = new Map(); leaves.forEach((l, k) => ys.set(l, top + k * gap)); const yOf = (u: string): number => { if (ys.has(u)) return ys.get(u)!; const cs = kids.get(u)!; const y = cs.map(yOf).reduce((t, v) => t + v, 0) / cs.length; ys.set(u, y); return y; }; yOf(root); return { ys, leaves: leaves.length }; }; const simTimeline = (kind: "tree" | "money") => { let seed = 23; const rnd = () => ((seed = (seed * 16807) % 2147483647) / 2147483647); const rad = (id: string) => { // star radius in world units, as drawn const c = byId.get(id); const n = g.down.get(id)?.size ?? -1; const px0 = kind === "money" ? moneyR(c) : n >= 0 ? 5 + Math.sqrt(n) * 4.5 : 2.5; return (px0 * 1.1) / S0; }; const linked = new Set(g.ids); const loners = Array.from(byId.values()).filter((c) => !linked.has(c.id) && (c.nodeType === "bi-vendor" || c.nodeType === "roster") && c.founded != null); const ns = [...g.ids, ...loners.map((c) => c.id)].map((id) => ({ id, big: linked.has(id), r: rad(id), x: X((byId.get(id)?.founded ?? 2000) + (rnd() - 0.5) * 0.85), y: 90 + rnd() * (H - 200) })); // Frozen sky (Ryan, 2026-10-12): stars saved in map-positions.json keep their spot; only new stars are placed const pins = PINNED[kind]; for (const n of ns) { const p = pins[n.id]; if (p) { n.x = p[0]; n.y = p[1]; } } // Cognos is the spine of the story: in family-tree sizing its family is held in a tidy, uncrossed tree (Ryan, // 2026-10-02) and every other star settles around it. In money sizing the big stars won't fit a fixed tree. const fixed = new Set(ns.filter((n) => pins[n.id]).map((n) => n.id)); if (kind === "tree" && g.down.has("cognos") && !pins["cognos"]) { const fam = new Set(["cognos", ...g.down.get("cognos")!]); const { ys } = tidyYs("cognos", fam, 125, H * 0.42); for (const n of ns) if (ys.has(n.id)) { n.y = ys.get(n.id)!; fixed.add(n.id); } } for (let it = 0; it < 320; it++) { for (let i = 0; i < ns.length; i++) for (let j = i + 1; j < ns.length; j++) { const a = ns[i], b = ns[j]; const fa = fixed.has(a.id), fb = fixed.has(b.id); if (fa && fb) continue; const dx = Math.abs(b.x - a.x); const need = a.r + b.r + (a.big || b.big ? 70 : 40); // circle + label clearance if (dx > need) continue; const dy = b.y - a.y || (rnd() - 0.5); const want = Math.sqrt(Math.max(0, need * need - dx * dx)) * 1.05; const gap = want - Math.abs(dy); if (gap > 0) { const f = gap * 0.2 * Math.sign(dy); if (fa) b.y += 2 * f; else if (fb) a.y -= 2 * f; else { a.y -= f; b.y += f; } } } for (const n of ns) { if (fixed.has(n.id)) continue; n.y += (H / 2 - n.y) * 0.0015; n.y = Math.max(80 + n.r, Math.min(H - 100 - n.r, n.y)); } } // Hand placement (Ryan, 2026-10-02): Clarity Systems sits between MicroStrategy and Adaytum (its 1989–90 neighbours). const at = new Map(ns.map((n) => [n.id, n])); const PLACE_BETWEEN: [string, string, string][] = [["clarity_systems", "microstrategy", "adaytum"]]; for (const [id, a, b] of PLACE_BETWEEN) { const n = at.get(id), A = at.get(a), B = at.get(b); if (n && A && B && !pins[id]) { n.x = (A.x + B.x) / 2; n.y = (A.y + B.y) / 2; } } return { pos: new Map(ns.map((n) => [n.id, { x: n.x, y: n.y }])), loners: loners.map((c) => c.id) }; }; const layouts = useMemo(() => ({ tree: simTimeline("tree"), money: simTimeline("money") }), [g, byId, maxVal]); const tw = useMemo(() => { let sd = 5; return new Map(Array.from(byId.keys()).map((id) => [id, 2 + ((sd = (sd * 16807) % 2147483647) / 2147483647) * 4])); }, [byId]); // Fan layout for the story's opening: 2020+ stars spread across the whole sky, ordered loosely by founding year. const fanPos = useMemo(() => { let seed = 41; const rnd = () => ((seed = (seed * 16807) % 2147483647) / 2147483647); const wave = Array.from(byId.values()).filter((c) => c.inWave).sort((a, b) => (a.founded ?? 0) - (b.founded ?? 0) || a.id.localeCompare(b.id)); const ns = wave.map((c, k) => ({ id: c.id, x: 240 + (k / Math.max(1, wave.length - 1)) * (W - 480) + (rnd() - 0.5) * 160, y: 170 + rnd() * (H - 340) })); for (let it = 0; it < 140; it++) for (let a2 = 0; a2 < ns.length; a2++) for (let b2 = a2 + 1; b2 < ns.length; b2++) { const A = ns[a2], B = ns[b2]; const dx = B.x - A.x, dy = B.y - A.y; const d = Math.hypot(dx, dy) || 1; if (d < 210) { const f = (210 - d) * 0.25; A.x -= (dx / d) * f; A.y -= (dy / d) * f; B.x += (dx / d) * f; B.y += (dy / d) * f; } } for (const n of ns) { n.x = Math.max(160, Math.min(W - 160, n.x)); n.y = Math.max(140, Math.min(H - 160, n.y)); } return new Map(ns.map((n) => [n.id, { x: n.x, y: n.y }])); }, [byId]); // Tidy tree for a story family: children ordered by founding year, leaves spaced evenly, each parent centred on its // children – a tree has no crossings. x stays at the true founding year. const tidyPos = (root: string, lit: Set, base: Map) => { const n0 = tidyYs(root, lit, 1, 0).leaves; const { ys } = tidyYs(root, lit, Math.min(150, (H - 700) / Math.max(1, n0 - 1)), H / 2); const out = new Map(base); for (const [id, y] of ys) out.set(id, { x: base.get(id)!.x, y }); // a lit company that was bought into the tree (Adaytum -> Cognos) sits just above its buyer, at its own founding year for (const e of g.E) if (e.acq && lit.has(e.from) && !ys.has(e.from) && ys.has(e.to) && base.has(e.from)) out.set(e.from, { x: base.get(e.from)!.x, y: ys.get(e.to)! - 260 }); return out; }; // buyer bubbles sit in a row, right of the caption card const CLUSTER_R = story?.clusterR ?? 270; const SPLIT_GAP = 170; const clusterGap = story?.split && story.clusters ? Math.max(2 * CLUSTER_R + 150, (Math.max(...story.clusters.map((cl) => cl.ids.length)) - 1) * SPLIT_GAP + 300) : 2 * CLUSTER_R + 150; const clusterCenter = (k: number, n: number) => ({ x: W * 0.62 + (k - (n - 1) / 2) * clusterGap, y: H * 0.42 }); type Cl = NonNullable[number]; const cR = (cl: Cl) => cl.r ?? CLUSTER_R; const cAt = (cl: Cl, k: number, n: number) => (cl.x != null && cl.y != null ? { x: cl.x, y: cl.y } : clusterCenter(k, n)); const cDelay = (cl: Cl, k: number) => cl.delay ?? k * (story?.stagger ?? 0); const [phase, setPhase] = useState(0); useEffect(() => { setPhase(0); if (!story?.split) return; const t = setTimeout(() => setPhase(1), story.split); return () => clearTimeout(t); }, [story?.key]); // after the split: star j of n sits in a row under its bubble; every other star drops lower so names never touch const splitAt = (c0: { x: number; y: number }, j: number, n: number) => ({ x: c0.x + (j - (n - 1) / 2) * SPLIT_GAP, y: c0.y + CLUSTER_R + 150 + (j % 2) * 90 }); // Target positions for the current state; any change (story beat or size mode) glides stars from where they are. const targetPos = (ph = phase): Map => { let m = new Map(layouts[story ? "tree" : sizeBy].pos); if (story?.fan) for (const [id, v] of fanPos) m.set(id, v); if (story?.tidy && story.lit) m = tidyPos(story.tidy, story.lit, m); if (story?.rows) { const OFF = [0, -80, 80, 200, -200]; story.rows.forEach((row, k) => { const y = H / 2 + (k - (story.rows!.length - 1) / 2) * 300; row.forEach((id, j) => { const b = m.get(id); if (b) m.set(id, { x: b.x, y: y + OFF[j % OFF.length] }); }); }); } if (story?.pinYears) for (const [id, v] of m) { const f = byId.get(id)?.founded; if (f == null || (story.visible && !story.visible.has(id))) continue; const h = Array.from(id).reduce((t, ch) => (t * 31 + ch.charCodeAt(0)) >>> 0, 7); m.set(id, { x: X(f + 0.12 + (h % 70) / 100), y: v.y }); // within [year+.12, year+.81]: never across a year line } if (story?.clusters) story.clusters.forEach((cl, k) => { const c0 = cAt(cl, k, story.clusters!.length), R = cR(cl); cl.ids.forEach((id, j) => { const n = cl.ids.length; if (story.split && ph === 1) { const q = splitAt(c0, j, n); m.set(id, { x: q.x, y: q.y }); return; } if (n > 8) { const a = j * 2.39996, rr = (R - 45) * Math.sqrt((j + 0.5) / n); m.set(id, { x: c0.x + Math.cos(a) * rr, y: c0.y + Math.sin(a) * rr }); return; } const ang = -Math.PI / 2 + (2 * Math.PI * j) / Math.max(1, n); const rr = n === 1 ? 0 : Math.min(120 + (n > 4 ? 40 : 0), R * 0.55); m.set(id, { x: c0.x + Math.cos(ang) * rr, y: c0.y + Math.sin(ang) * rr }); }); }); return m; }; const stateKey = `${story?.key ?? "explore"}|${sizeBy}|${phase}`; const [anim, setAnim] = useState<{ from: Map; to: Map; a: number }>(() => { const t = targetPos(); return { from: t, to: t, a: 1 }; }); const ease = (t: number) => (t < 0.5 ? 4 * t * t * t : 1 - Math.pow(-2 * t + 2, 3) / 2); const posOf = (id: string) => { const B = anim.to.get(id)!; const A = anim.from.get(id) ?? B; const e = ease(anim.a); return { x: A.x + (B.x - A.x) * e, y: A.y + (B.y - A.y) * e }; }; useEffect(() => { const from = new Map(Array.from(anim.to.keys()).map((id) => [id, posOf(id)])); const to = targetPos(); setAnim({ from, to, a: 0 }); const t0 = performance.now(); let raf = 0; const step = (t: number) => { const a = Math.min(1, (t - t0) / (story ? 2100 : 1400)); setAnim((s0) => ({ ...s0, a })); if (a < 1) raf = requestAnimationFrame(step); }; raf = requestAnimationFrame(step); return () => cancelAnimationFrame(raf); }, [stateKey, layouts]); const switchSize = (m: "tree" | "money") => setSizeBy(m); const axisOpacity = 1; const lay = { loners: layouts.tree.loners }; // ---- pan / zoom ---- const toWorld = (cx: number, cy: number) => { const r = svgRef.current!.getBoundingClientRect(); const s = Math.min(r.width / W, r.height / H); const ox = (r.width - W * s) / 2, oy = (r.height - H * s) / 2; return { x: (cx - r.left - ox) / s, y: (cy - r.top - oy) / s, s }; }; const zoomAt = (wx: number, wy: number, f: number) => setView((v) => { const k = Math.max(0.8, Math.min(8, v.k * f)); return { k, tx: wx - ((wx - v.tx) * k) / v.k, ty: wy - ((wy - v.ty) * k) / v.k }; }); useEffect(() => { const el = svgRef.current; if (!el) return; const onWheel = (e: WheelEvent) => { if (story || !(e.ctrlKey || e.metaKey)) return; // trackpad pinch arrives as ctrl + wheel e.preventDefault(); const p = toWorld(e.clientX, e.clientY); zoomAt(p.x, p.y, Math.exp(-e.deltaY * (e.ctrlKey && !e.metaKey ? 0.01 : 0.0015))); }; el.addEventListener("wheel", onWheel, { passive: false }); return () => el.removeEventListener("wheel", onWheel); }, []); const onDown = (e: React.PointerEvent) => { drag.current = { x: e.clientX, y: e.clientY, tx: view.tx, ty: view.ty, moved: false }; }; const onMove = (e: React.PointerEvent) => { const d = drag.current; if (!d) return; const s = toWorld(0, 0).s; const dx = (e.clientX - d.x) / s, dy = (e.clientY - d.y) / s; if (Math.abs(dx) + Math.abs(dy) > 4 / s) d.moved = true; if (d.moved) setView((v) => ({ ...v, tx: d.tx + dx, ty: d.ty + dy })); }; const onUp = () => { const d = drag.current; drag.current = null; if (d && !d.moved) setPin(null); }; const screenK = () => (svgRef.current ? toWorld(0, 0).s : 0.45) * view.k; // world units -> screen px const sk = screenK(); const px = (n: number) => n / sk; // n screen px in world units // filled = still operating on its own (independent, or taken private like Anaplan); outline = acquired, merged or shut down const alive = (c?: Company) => !!c && (c.status === "independent" || c.status === "taken-private"); const famOf = (id: string) => g.family.get(id) ?? id; const timeline = true; const near = story ? story.lit : !active ? null : !g.down.has(active) ? new Set([active]) : timeline ? (g.lineNodes.get(active) ?? new Set([active])) // its line: the careers of the people who passed through it : new Set([active, ...(g.out.get(active) ?? []).map((e) => e.to), ...(g.inn.get(active) ?? []).map((e) => e.from)]); // story: fly-in from a deterministic direction per star; camera fits the beat's stars const stageDelay = (id: string) => { if (!story?.clusters) return 0; const k = story.clusters.findIndex((cl) => cl.ids.includes(id)); return k < 0 ? 0 : cDelay(story.clusters[k], k); }; const monoR = (id: string) => px(story?.lit?.has(id) || hover === id ? 7 : 4); const monoAnim = (id: string): React.CSSProperties => ({ r: monoR(id), transition: "r .25s ease-out", ...(story?.lit?.has(id) ? { animation: `bift-pulse ${tw.get(id)}s ease-in-out infinite` } // non-orange stars stay visible and glide to their spot (Ryan, 2026-10-13: the old shrink-and-grow read as disappearing) : { animation: `bift-pulse ${tw.get(id)}s ease-in-out 2.1s infinite` }) } as React.CSSProperties); const fly = (id: string): React.CSSProperties => { if (!story?.flyIn || (story.visible && !story.visible.has(id)) || (story.pop && !story.pop.includes(id))) return {}; const h = Array.from(id).reduce((t, ch) => (t * 31 + ch.charCodeAt(0)) >>> 0, 9); const ang = (h % 360) * (Math.PI / 180), dist = 1400 + (h % 700); return { ["--fx" as any]: `${Math.cos(ang) * dist}px`, ["--fy" as any]: `${Math.sin(ang) * dist}px`, animation: `bift-flyin 1.6s cubic-bezier(.15,.75,.25,1) ${(h % 90) / 100 + stageDelay(id)}s both` }; }; useEffect(() => { if (!story) return; if (!story.fitPts && (!story.fit || !story.fit.length)) { setView({ k: 1, tx: 0, ty: 0 }); return; } const tps = story.split ? [targetPos(0), targetPos(1)] : [targetPos()]; const ps = story.fitPts ?? tps.flatMap((tp) => story.fit!.map((id) => tp.get(id))).filter(Boolean) as { x: number; y: number }[]; // leave the lower-left free for the caption card: extra room on the left and below const x0 = Math.min(...ps.map((q) => q.x)) - (story.padLeft ?? 520), x1 = Math.max(...ps.map((q) => q.x)) + 360; const y0 = Math.min(...ps.map((q) => q.y)) - (story.marker?.left || story.marker?.right ? 340 : 160), y1 = Math.max(...ps.map((q) => q.y)) + 380; const k = Math.max(0.8, Math.min(2.4, Math.min(W / (x1 - x0), H / (y1 - y0)))); setView({ k, tx: W / 2 - ((x0 + x1) / 2) * k, ty: H / 2 - ((y0 + y1) / 2) * k }); }, [story?.key]); // Explore fits the window from where the map actually starts (Ryan, 2026-10-13: the old "100vh - 110px" ignored the title + tabs above it, so the map spilled below the window on load) const [fitH, setFitH] = useState(null); useEffect(() => { if (story) return; const fit = () => { const el = svgRef.current; if (!el) return; const top = el.getBoundingClientRect().top + window.scrollY; setFitH(Math.round(Math.max(420, Math.min(800, window.innerHeight - top - 16)))); }; fit(); window.addEventListener("resize", fit); return () => window.removeEventListener("resize", fit); }, [story]); const btn: React.CSSProperties = { width: 30, height: 30, borderRadius: 6, border: "1px solid rgba(255,255,255,.2)", background: "rgba(15,20,27,.7)", color: DARK.text, fontFamily: NUM_FONT, fontSize: 16, cursor: "pointer", lineHeight: "28px", textAlign: "center" }; return (

{storySel &&

{pin &&

setPin(null)} style={{ position: "absolute", right: 8, top: 6, cursor: "pointer", color: DARK.muted, fontSize: 14 }}>×

}

} {!story && <>

zoomAt(W / 2, H / 2, 1.5)}>+

zoomAt(W / 2, H / 2, 1 / 1.5)}>−

setView({ k: 1, tx: 0, ty: 0 })}>⟲

Pinch or ⌘/Ctrl + scroll to zoom · drag to pan · click a star

{([["tree", "Size: constellation"], ["money", "Size: money (2026 $)"]] as const).map(([m, l]) => (

switchSize(m)} style={{ fontFamily: NUM_FONT, fontSize: 11.5, padding: "6px 13px", cursor: "pointer", background: sizeBy === m ? "rgba(92,195,255,.18)" : "rgba(15,20,27,.7)", color: sizeBy === m ? DARK.ai : DARK.muted }}>{l}

))}

}

{!story &&

{/* key */}

Still operating Acquired, merged or shut down {sizeBy === "money" ? "Bigger = more cash changed hands: sale price or money raised (2026 $)" : "Bigger = more companies descend from it"} Colour = BI constellation Lone star: no known BI lineage Founded: their people started it Worked here next: a future founder's next job Hover a star to draw its constellation

}

); } // Panel for the star map: linked companies get the who-came-from-where list; lone stars get their background. function StarPanel({ id, g, byId }: { id: string | null; g: CGraph; byId: Map }) { if (id && g.down.has(id)) return ; const c = id ? byId.get(id) : undefined; const POOL: Record = { "in-house-data": "in-house data teams", "bigtech-ml": "big-tech engineering & ML", "infra-database": "databases & infrastructure", "other-startup": "other startups", academia: "academia & research", "quant-finance": "finance & quant", "consulting-vc": "consulting & VC", journalism: "journalism", "new-grad": "straight out of school", unknown: "not yet traced" }; return (

{!c ?

Bright stars with lines are BI constellations. The faint lone stars are companies with no known BI lineage. Hover or click any of them.

: ( <>

= 2020 ? "#bfe6ff" : DARK.text }}>{shortName(c.name)}

{[c.founded && `founded ${c.founded}`, c.hq, c.acquirer ? `acquired by ${c.acquirer} ${c.acqYear ?? ""}` : null].filter(Boolean).join(" · ")}

{c.lineage == null ? "A founder's background couldn't be traced yet." : <>No known BI lineage. Founders came from {POOL[c.pool] ?? "elsewhere"}.}

{c.notes ?

{c.notes}

: null} )}

); } // ---------------------------------------------------------------- shared stage styling const STAGE_CSS = ` @keyframes bift-drift { 0% { transform: translate(0,0) } 50% { transform: translate(var(--dx), var(--dy)) } 100% { transform: translate(0,0) } } @keyframes bift-twinkle { 0%,100% { opacity: var(--o) } 50% { opacity: calc(var(--o) * .35) } } @keyframes bift-flow { to { stroke-dashoffset: -36 } } @keyframes bift-draw { from { stroke-dashoffset: 1 } to { stroke-dashoffset: 0 } } @keyframes bift-flyin { from { transform: translate(var(--fx), var(--fy)); opacity: 0 } 25% { opacity: 1 } to { transform: translate(0,0); opacity: 1 } } @keyframes bift-rise { from { opacity: 0; transform: translateY(8px) } to { opacity: 1; transform: none } } @keyframes bift-fadein { from { opacity: 0 } to { opacity: 1 } } @keyframes bift-crawl { from { stroke-dashoffset: 0 } to { stroke-dashoffset: calc(var(--per) * -1) } } @keyframes bift-grow { from { transform: scale(.25); opacity: .3 } to { transform: scale(1); opacity: 1 } } @keyframes bift-quack { 0% { opacity: 0; transform: translateY(6px) scale(.6) rotate(-8deg) } 8% { opacity: 1; transform: translateY(0) scale(1.15) rotate(4deg) } 14% { transform: scale(1) rotate(-3deg) } 20% { transform: rotate(2deg) } 26% { transform: rotate(0) } 60% { opacity: 1 } 72%, 100% { opacity: 0; transform: translateY(-4px) } } @keyframes bift-pulse { 0%,100% { opacity: 1 } 50% { opacity: .55 } } @keyframes bift-burst { 0% { opacity: 0; transform: scale(.6) } 15% { opacity: .9 } 100% { opacity: 0; transform: scale(4) } } `; const stageStyle: React.CSSProperties = { position: "relative", overflow: "clip", borderRadius: 10, color: DARK.text, padding: "26px 30px 24px", background: `radial-gradient(1200px 700px at 70% 30%, #1b2a3a 0%, ${DARK.bg} 62%)` }; // ---------------------------------------------------------------- Explore: the star map // shown in the empty sky for the second before the data arrives function LoadingVoid() { return (

In the beginning there was the void…

); } function ExploreTab({ byId, stints, loading }: { byId: Map; stints: Stint[]; loading: boolean }) { const g = useCoachingGraph(byId, stints, true); // acquisition lines run back into the buyer (Ryan chose B, 2026-10-12) if (loading && g.ids.length === 0) return ; return (

WHERE TODAY'S ANALYTICS COMPANIES CAME FROM

Explore the sky

I traced the founders of {Array.from(byId.values()).filter((c) => c.inWave).length || 73} analytics companies founded since 2020 to answer the question, where did these companies come from?

); } // ---------------------------------------------------------------- Story: click-through narrative on the star map // Captions are DRAFT placeholders for Ryan to rewrite in his voice. Beat order and what each beat lights are the design. // Masthead decoration: a little constellation that draws itself, in the report's two story colours. function HeroConstellation() { const P = [[36, 70], [68, 38], [104, 52], [132, 22], [160, 44], [184, 16], [148, 78]]; const L = [[0, 1], [1, 2], [2, 3], [3, 4], [4, 5], [2, 6], [6, 4]]; return ( ); } function CountUp({ to, ms = 1600 }: { to: number; ms?: number }) { const [v, setV] = useState(0); useEffect(() => { const t0 = performance.now(); let raf = 0; const step = (t: number) => { const a = Math.min(1, (t - t0) / ms); setV(Math.round(to * (1 - Math.pow(1 - a, 3)))); if (a < 1) raf = requestAnimationFrame(step); }; raf = requestAnimationFrame(step); return () => cancelAnimationFrame(raf); }, [to, ms]); return <>{v}; } function StoryTab({ byId, stints, loading, onExplore }: { byId: Map; stints: Stint[]; loading: boolean; onExplore: () => void }) { const g = useCoachingGraph(byId, stints, true); // same lines as Explore: acquisitions run back into the buyer (2026-10-12) const [i, setI] = useState(0); const stageRef = useRef(null); const [stageW, setStageW] = useState(1500); useEffect(() => { const el = stageRef.current; if (!el) return; const ro = new ResizeObserver(() => setStageW(el.clientWidth || 1500)); ro.observe(el); return () => ro.disconnect(); }, [g.ids.length === 0]); // the stage only mounts once data arrives // every BI deal in the data, for sizing the buyer bubbles const dq = useSQLQuery(`SELECT acquirer, target, coalesce(year_closed, year_announced) AS year FROM "bi_universe"."main"."bi_deals"`); const deals = useMemo(() => (Array.isArray(dq.data) ? dq.data : []).map((r: any) => ({ acquirer: S(r.acquirer), target: S(r.target), year: r.year == null ? null : N(r.year) })), [dq.data]); const beats = useMemo(() => { const wave = Array.from(byId.values()).filter((c) => c.inWave); const waveIds = new Set(wave.map((c) => c.id)); const alumni = wave.filter((c) => c.lineage === true).map((c) => c.id); const fam = (root: string) => new Set([root, ...(g.down.get(root) ?? [])]); const all = new Set(g.ids); const n = (id: string) => shortName(byId.get(id)?.name ?? id); const kids = (id: string) => Array.from(g.foundedAfter.get(id) ?? []).filter((x) => byId.has(x)).sort((a, b) => yrOf(a) - yrOf(b)).map(n); // companies founded by people who passed through it (whole careers) const list = (xs: string[]) => (xs.length < 2 ? xs.join("") : `${xs.slice(0, -1).join(", ")} and ${xs[xs.length - 1]}`); const pct = Math.round((100 * alumni.length) / Math.max(1, wave.length)); type B = StoryBeat & { title: React.ReactNode; text: string; cta?: boolean; kicker?: string }; // kicker = the blue line above the title const yrOf = (id: string) => byId.get(id)?.founded ?? 0; const pre = wave.filter((c) => (c.founded ?? 0) <= 2022), post = wave.filter((c) => (c.founded ?? 0) >= 2023); const alum = (xs: Company[]) => xs.filter((c) => c.lineage === true).length; const buyers = new Set(["cognos", "clarity_systems", "seek_ai", "tableau", "spindle", "waii", "businessobjects", "outlooksoft", "kausa"].filter((id) => byId.has(id))); const acquiredWave = wave.filter((c) => c.acquirer).length; const outsiders = wave.filter((c) => c.lineage === false); const out: B[] = [ { key: "explosion", kicker: "Where do today's analytics founders come from?", visible: waveIds, lit: null, fit: [...waveIds], flyIn: true, neutral: true, edges: false, showAxis: false, fan: true, title: <> new analytics companies, text: `Since 2020 there's been an explosion of BI and analytics tools – AI analysts, semantic layers, notebooks, embedded dashboards. This research found ${wave.length} of them.` }, // Slide 2 split in two (Ryan, 2026-10-13): first the heritage question on its own, then whether ChatGPT changed the mix { key: "heritage", kicker: "Where do today's analytics founders come from?", visible: waveIds, lit: new Set(alumni), fit: [...waveIds], flyIn: false, neutral: false, edges: false, showAxis: true, pinYears: true, mono: "#ff9d5c", title: "Do BI people found BI companies?", text: `${alumni.length} of the ${wave.length} – about ${pct}% – were founded by someone who'd worked at a previous standalone BI or analytics company. Those are the orange stars.` }, { key: "chatgpt", kicker: "Where do today's analytics founders come from?", visible: waveIds, lit: new Set(alumni), fit: [...waveIds], flyIn: false, neutral: false, edges: false, showAxis: true, pinYears: true, mono: "#ff9d5c", marker: { year: 2022.92, label: "ChatGPT", left: [`${alum(pre)} of ${pre.length}`, "founded 2020–22"], right: [`${alum(post)} of ${post.length}`, "founded since"] }, title: "Did ChatGPT change the mix?", text: `Yes. Before ChatGPT, ${alum(pre)} of ${pre.length} new companies (${Math.round((100 * alum(pre)) / Math.max(1, pre.length))}%) had a BI founder. Since, it's ${alum(post)} of ${post.length} (${Math.round((100 * alum(post)) / Math.max(1, post.length))}%).` }, { key: "cognos", kicker: "The constellations of analytics", visible: null, lit: new Set([...fam("cognos"), ...(byId.has("adaytum") ? ["adaytum"] : [])]), fit: [...fam("cognos"), ...(byId.has("adaytum") ? ["adaytum"] : [])], flyIn: false, neutral: false, edges: true, showAxis: true, tidy: "cognos", title: "The Cognos → Tableau Dynasty", // Ajenstat is the closing beat (Ryan, 2026-10-12): Golden is left out of both lists so the bridge sentence lands it // Ryan's wording, 2026-10-13 text: `Cognos alumni found ${list(kids("cognos").filter((x) => x !== n("golden")))} and serve as executives at Tableau, which begets ${list(kids("tableau").filter((x) => x !== n("golden")))}. The bridge that builds the dynasty is Francois Ajenstat, Cognos, Chief Product Officer at Tableau and Founder of Golden Analytics.` }, ...(() => { // Two startups each (Ryan, 2026-10-12): mid-size BI tools whose people went on to found two companies, counted along // whole careers (Periscope's Modelbit runs through Sisense, which bought Periscope). Tableau, Palantir and Cognos // have their own beats. Lit = every stop on those walks, so the lines drawn are the real ones. const P = ["looker", "thoughtspot", "metamarkets", "periscope"].filter((id) => byId.has(id)); const kidsOf = (id: string) => Array.from(g.foundedAfter.get(id) ?? []).filter((x) => byId.has(x)).sort((a, b) => yrOf(a) - yrOf(b)); // drawn as one row per tool with its own lines (Periscope's Modelbit walk runs through Sisense, which isn't shown) const rows = P.map((p) => [p, ...kidsOf(p)]); const lit = new Set(rows.flat()); // Omni buying Explo + Fabi cut (Ryan, 2026-10-13): a different point, already made on the "where are they going" slide return [{ key: "litters", kicker: "The constellations of analytics", visible: null, lit, fit: [...lit], flyIn: false, neutral: false, edges: false, showAxis: true, rows, padLeft: 950, linksAtOnce: true, links: P.flatMap((p) => kidsOf(p).map((k) => ({ from: p, to: k, label: "", solid: true, color: g.colorOf(p), bend: 0 }))), title: "The Two Startup Club", text: `Looker alumni founded ${list(kidsOf("looker").map(n))}. ThoughtSpot's founded ${list(kidsOf("thoughtspot").map(n))}; Metamarkets' founded ${list(kidsOf("metamarkets").map(n))}; Periscope's founded ${list(kidsOf("periscope").map(n))}.` }] as B[]; })(), { key: "atallah", kicker: "The constellations of analytics", visible: null, lit: new Set(["cleargraph", "tableau", "spindle"].filter((id) => byId.has(id))), fit: ["cleargraph", "tableau", "spindle"].filter((id) => byId.has(id)), flyIn: false, neutral: false, edges: false, showAxis: true, rows: [["tableau", "spindle", "cleargraph"]], padLeft: 700, // one band, so the frozen sky's spread doesn't stretch the zoom (Ryan, 2026-10-12) links: [{ from: "cleargraph", to: "tableau", label: `acquired ${byId.get("cleargraph")?.acqYear ?? 2017}`, bend: 1 }, { from: "tableau", to: "spindle", label: `left, founded Spindle ${yrOf("spindle")}`, solid: true, color: "#ff6f61" }], notes: [{ at: "spindle", text: `→ bought by Salesforce, Tableau's owner (${byId.get("spindle")?.acqYear ?? 2025})` }], title: "Sold into the same constellation twice", text: `Ryan Atallah co-founded ClearGraph, which Tableau bought in ${byId.get("cleargraph")?.acqYear ?? 2017}; there he built Ask Data. He left to found Spindle AI in ${yrOf("spindle")} – and Salesforce, Tableau's owner, bought it in ${byId.get("spindle")?.acqYear ?? 2025}.` }, { key: "palantir", kicker: "The constellations of analytics", visible: null, lit: fam("palantir"), fit: [...fam("palantir")], flyIn: false, neutral: false, edges: true, showAxis: true, tidy: "palantir", title: "The outsider: Palantir", text: `Not a BI company – but its alumni built ${list(kids("palantir"))}.` }, ...(() => { // Big tech (Ryan, 2026-10-12): an outsider with at least one founder employed directly at Google, Meta, Amazon, // Apple or Microsoft (big_tech flag in the data, one named founder + source per company) const bt = outsiders.filter((c) => c.bigTech); const by = (e: string) => bt.filter((c) => c.bigTechEmployer === e).length; const md = bt.find((c) => c.id === "motherduck"); const EMP = [["Google", "#8fd3ff"], ["Meta", "#a18cff"], ["Amazon", "#ffd65c"], ["Apple", "#e8eef5"], ["Microsoft", "#4fe0a5"]] as const; const clusters = EMP.map(([e, color]) => ({ name: e, color, ids: bt.filter((c) => c.bigTechEmployer === e).map((c) => c.id) })).filter((cl) => cl.ids.length); return [{ key: "bigtech", visible: new Set(bt.map((c) => c.id)), lit: new Set(bt.map((c) => c.id)), fit: bt.map((c) => c.id), flyIn: false, neutral: false, edges: false, showAxis: false, clusters, clusterR: 130, split: 2600, quack: md ? "motherduck" : undefined, // replaced the Jordan Tigani note (Ryan, 2026-10-13: it stood out too much) title: "Big tech's alumni", text: `${bt.length} of the outsiders have a founder who worked at Google, Meta, Amazon, Apple or Microsoft. Meta alone accounts for ${by("Meta")}.` }] as B[]; })(), ...(() => { // Wrap-up (Ryan, 2026-10-12): every traced 2020+ company in exactly one group, BI heritage first, then big tech, // then everything else; each group flies in after the last. Untraced founders are named in the caption, not a bubble. // untraced founders fold into "Other backgrounds" (Ryan, 2026-10-13): no BI company found is true of them too, and the bubbles now sum to the wave const bi = wave.filter((c) => c.lineage === true), bt = outsiders.filter((c) => c.bigTech), other = wave.filter((c) => c.lineage !== true && !c.bigTech); const groups = [ { name: "Previous BI companies", color: "#ff9d5c", ids: bi.map((c) => c.id), big: String(bi.length) }, // outsiders draw plain white: Fabi and Hashboard sit on the map (founders went with the acquisition) and would // otherwise wear their buyer's family colour, which here would wrongly read as BI heritage { name: "Big tech", color: "#5cc3ff", ids: bt.map((c) => c.id), big: String(bt.length), plain: true }, { name: "Other backgrounds", color: "#c9d6e6", ids: other.map((c) => c.id), big: String(other.length), plain: true }, ]; const all = groups.flatMap((g0) => g0.ids); return [{ key: "close", visible: new Set(all), lit: new Set(all), fit: all, flyIn: true, neutral: false, edges: false, showAxis: false, labels: false, clusters: groups, stagger: 1.4, title: "Most come from outside BI", text: `${bi.length} come from previous BI companies. ${bt.length} come from big tech. The other ${other.length} have other backgrounds – mostly in-house data teams, other startups or research labs.` }] as B[]; })(), ...(() => { // Buyers, sized by every BI deal they've made (bi_deals, all eras; area ~ deal count). Beat 1: last generation's giants // holding what they bought then. Beat 2 (Ryan, 2026-10-12): the new buyers fly in, and every acquired 2020+ company // flies into whichever bubble bought it. Buyer group comes from the buyer's category in the data. const OLD: [string, string, string[]][] = [["IBM", "#8fd3ff", ["cognos", "clarity_systems"]], ["SAP", "#f7e08a", ["businessobjects", "outlooksoft"]], ["Salesforce", "#ff8a7a", ["tableau"]]]; const idByName = new Map(Array.from(byId.values()).map((c) => [c.name, c.id])); const dealN = (name: string) => deals.filter((d) => d.acquirer === name).length; const R = (name: string) => Math.max(85, 85 * Math.sqrt(dealN(name))); const acquired = wave.filter((c) => c.acquirer); const free = wave.filter((c) => !c.acquirer).map((c) => c.id); const groupOf = (name: string) => { const c = byId.get(idByName.get(name) ?? ""); const cat = c?.category ?? ""; return c?.nodeType === "bi-vendor" || ["bi-tool", "semantic-layer", "data-infra"].includes(cat) ? "data" : "other"; }; const newBuyers = Array.from(new Set(acquired.map((c) => c.acquirer))).filter((nm) => !OLD.some(([o]) => o === nm)) .sort((a, b) => dealN(b) - dealN(a) || a.localeCompare(b)); const into = (nm: string) => acquired.filter((c) => c.acquirer === nm).map((c) => c.id); const label = (nm: string) => nm; const sub = (nm: string) => `${dealN(nm)} BI deal${dealN(nm) === 1 ? "" : "s"}`; const FS = (nm: string) => Math.max(34, R(nm) * 0.2); const nameW = (nm: string) => nm.length * FS(nm) * 0.78; // rows: giants on top, data companies in the middle, everyone else below; each row centred const row = (names: string[], y: number) => { const w = names.map((nm) => Math.max(2 * R(nm), nameW(nm)) + 70); let x = 2150 - w.reduce((t, v) => t + v, 0); // right-aligned return names.map((nm, k) => { const c = x + w[k] / 2; x += w[k]; return { nm, x: c, y }; }); }; const giantsRow = row(OLD.map(([nm]) => nm), 560); // last generation's buyers only; HCLSoftware (1 deal) joins the bottom row, in its colour const pos = new Map([...giantsRow, ...row(newBuyers.filter((nm) => groupOf(nm) === "data"), 1130), ...row(newBuyers.filter((nm) => groupOf(nm) !== "data"), 1600)].map((q) => [q.nm, q])); const COL: Record = { giant: "#c9d6e6", data: "#4fe0a5", other: "#a18cff" }; const oldCl = OLD.map(([nm, color, ids]) => ({ name: label(nm), color, ids: ids.filter((id) => byId.has(id)), r: R(nm), x: pos.get(nm)!.x, y: pos.get(nm)!.y, delay: 0, sub: sub(nm), fs: FS(nm) })); const newCl = newBuyers.map((nm, k) => ({ name: label(nm), color: COL[groupOf(nm)], ids: into(nm), r: R(nm), x: pos.get(nm)!.x, y: pos.get(nm)!.y, delay: 0.6 + k * 0.25, sub: sub(nm), fs: FS(nm) })); const oldIds = oldCl.flatMap((c) => c.ids); const both = [...oldCl.map((c) => ({ ...c, ids: [...c.ids, ...into(OLD.find(([o]) => label(o) === c.name)![0])] })), ...newCl]; const allIds = both.flatMap((c) => c.ids); const rightEdge = Math.max(...both.map((c) => c.x! + c.r!)); const indep = { name: "Still independent", color: "#c9d6e6", ids: free, r: 430, x: rightEdge + 560, y: 1080, delay: 0.6 + newCl.length * 0.25 + 0.8, sub: `${free.length} companies`, fs: 86 }; // one camera frame for both beats (Ryan, 2026-10-13: the giants' bubbles seemed to shrink between them) const frame = [...both, indep].flatMap((c) => [{ x: c.x! - c.r! * 0.7, y: c.y! - c.r! * 0.7 }, { x: c.x! + c.r! * 0.7, y: c.y! + c.r! * 0.7 }]); const by = (grp: string) => acquired.filter((c) => (OLD.some(([o]) => o === c.acquirer) ? "giant" : groupOf(c.acquirer)) === grp); const yrList = (ids: string[]) => list(ids.map((id) => `${n(id)} (${byId.get(id)?.acqYear ?? "?"})`)); return [ { key: "buyers", kicker: "Where are today's analytics companies headed?", visible: new Set(oldIds), lit: new Set(oldIds), fit: oldIds, flyIn: false, neutral: false, edges: false, showAxis: false, clusters: oldCl, fitPts: frame, padLeft: 1150, title: "Meet the buyers", text: `The last generation of BI was bought up by the giants. IBM took ${yrList(oldCl[0].ids)}. SAP took ${yrList(oldCl[1].ids)}. Salesforce took ${yrList(oldCl[2].ids)}.` }, { key: "back", kicker: "Where are today's analytics companies headed?", visible: new Set([...allIds, ...free]), lit: new Set(allIds), fit: [...allIds, ...free], flyIn: true, neutral: false, edges: false, showAxis: false, clusters: [...both, indep], pop: [...acquired.map((c) => c.id), ...free], fitPts: frame, padLeft: 1150, title: "Acquisitions have already started", // Ryan's wording, 2026-10-13 text: `${acquired.length} of the ${wave.length} new companies (${Math.round((100 * acquired.length) / Math.max(1, wave.length))}%) have already been acquired. ${by("giant").length} went to giants, ${by("data").length} went to other data companies, and ${by("other").length} went to software outside data. The other ${free.length} are still on their own – for now.`, cta: true }, ] as B[]; })(), ]; return out; }, [byId, g, deals]); // "Explore it yourself" (Ryan, 2026-10-12): every star glides back to its frozen home spot, then the Explore tab takes over const [leaving, setLeaving] = useState(false); const EXIT: StoryBeat = { key: "exit", visible: null, lit: null, fit: null, flyIn: false, neutral: false, edges: false, showAxis: true }; const toExplore = () => { if (leaving) return; setLeaving(true); setTimeout(() => { setLeaving(false); onExplore(); }, 2400); }; const lastGo = useRef(0); const go = (d: number) => { // ignore a second click while the scene is still moving const now = performance.now(); if (now - lastGo.current < 900) return; lastGo.current = now; setI((x) => Math.max(0, Math.min(beats.length - 1, x + d))); }; useEffect(() => { const k = (e: KeyboardEvent) => { if (e.key === "ArrowRight") go(1); if (e.key === "ArrowLeft") go(-1); }; window.addEventListener("keydown", k); return () => window.removeEventListener("keydown", k); }, [beats.length]); if (loading && g.ids.length === 0) return ; const b = beats[i]; // caption scales with the stage's real width (not the browser window, which differs inside MotherDuck's frame) const sc = Math.max(0.7, Math.min(1, stageW / 1500)); const z = (v: number) => Math.round(v * sc * 10) / 10; const btn: React.CSSProperties = { fontFamily: NUM_FONT, fontSize: z(12.5), color: DARK.text, background: "rgba(15,20,27,.6)", border: "1px solid rgba(255,255,255,.22)", borderRadius: 999, padding: `${z(7)}px ${z(16)}px`, cursor: "pointer", whiteSpace: "nowrap", flexShrink: 0 }; return (

{/* caption */}

{(beats[i].kicker ?? "Where do today's analytics companies come from?").toUpperCase()} · {i + 1} / {beats.length}

{b.title}

{b.text}

{b.cta ? : }

{beats.map((x, k) =>

setI(k)} style={{ width: k === i ? z(20) : z(7), height: z(7), flexShrink: 0, borderRadius: 999, cursor: "pointer", background: k === i ? DARK.ai : "rgba(255,255,255,.25)", transition: "width .3s" }} />)}

{sc > 0.8 &&

← → keys work too

}

); } // ---------------------------------------------------------------- Deals: BI acquisitions as merging lanes // One lane per enterprise BI platform on the market today (right edge = current owner + product). A platform's own // acquisitions sit on its lane; when it was itself bought, its lane flows into the buyer's lane (Cognos → IBM). Each // deal is a star at its closing year, area ~ price in 2026 dollars; undisclosed prices are small hollow rings. // Roster rule (Ryan, 2026-10-02): enterprise BI platforms still on the market, under their current owner. type Deal = { target: string; acquirer: string; year: number; price: number | null; price2026: number | null; kind: string; note: string; source: string; basis: string }; type Lane = { today: string; group: string; main: string[]; tribs?: { name: string; ents: string[]; merge: number }[] }; const DEAL_GROUPS: { key: string; label: string; color: string }[] = [ { key: "bigtech", label: "BIG TECH", color: "#5cc3ff" }, { key: "suite", label: "THE SUITES", color: "#f7c948" }, { key: "indie", label: "INDEPENDENTS", color: "#4fe0a5" }, { key: "rolled", label: "ROLLED UP ELSEWHERE", color: "#c4a5ff" }, ]; const LANES: Lane[] = [ { today: "Microsoft (Power BI)", group: "bigtech", main: ["Microsoft"] }, { today: "Salesforce (Tableau)", group: "bigtech", main: ["Salesforce"], tribs: [{ name: "Tableau", ents: ["Tableau"], merge: 2019 }] }, { today: "Google (Looker)", group: "bigtech", main: ["Google"], tribs: [{ name: "Looker", ents: ["Looker"], merge: 2020 }] }, { today: "Oracle (Oracle Analytics)", group: "suite", main: ["Oracle"], tribs: [ { name: "Hyperion", ents: ["Hyperion Solutions", "IMRS (Hyperion Software)", "Hyperion Software", "Arbor Software"], merge: 2007 }, { name: "Siebel", ents: ["Siebel Systems"], merge: 2006 }] }, { today: "SAP (Analytics Cloud, BusinessObjects)", group: "suite", main: ["SAP"], tribs: [{ name: "Business Objects", ents: ["Business Objects"], merge: 2008 }] }, { today: "IBM (Cognos Analytics)", group: "suite", main: ["IBM"], tribs: [{ name: "Cognos", ents: ["Cognos"], merge: 2008 }, { name: "SPSS", ents: ["SPSS"], merge: 2009 }] }, { today: "Qlik", group: "indie", main: ["Qlik"] }, { today: "Strategy (MicroStrategy)", group: "indie", main: ["MicroStrategy"] }, { today: "ThoughtSpot", group: "indie", main: ["ThoughtSpot"] }, { today: "Domo", group: "indie", main: ["Domo"] }, { today: "Sisense", group: "indie", main: ["Sisense"] }, { today: "Alteryx", group: "indie", main: ["Alteryx"] }, { today: "TIBCO (Spotfire)", group: "rolled", main: ["TIBCO"] }, { today: "insightsoftware (Logi, Vizlib)", group: "rolled", main: ["insightsoftware"], tribs: [{ name: "Logi Analytics", ents: ["Logi Analytics"], merge: 2021 }] }, { today: "Hitachi Vantara (Pentaho)", group: "rolled", main: ["Hitachi"], tribs: [{ name: "Pentaho", ents: ["Pentaho"], merge: 2015 }] }, { today: "Infor (Birst)", group: "rolled", main: ["Infor"], tribs: [{ name: "Birst", ents: ["Birst"], merge: 2017 }] }, { today: "Workday (Adaptive Insights)", group: "rolled", main: ["Workday"] }, { today: "ServiceNow (Pyramid)", group: "rolled", main: ["ServiceNow"] }, ]; function DealsTab() { const q = useSQLQuery(`SELECT target, acquirer, coalesce(year_closed, year_announced) AS year, price_usd_m, price_2026_usd_m, kind, note, source, price_basis FROM "bi_universe"."main"."bi_deals" WHERE in_deals_view`); const [hover, setHover] = useState(null); const [pin, setPin] = useState(null); const deals = useMemo(() => (Array.isArray(q.data) ? q.data : []).filter((r: any) => r.year != null).map((r: any) => ({ target: S(r.target), acquirer: S(r.acquirer), year: N(r.year), price: r.price_usd_m == null ? null : N(r.price_usd_m), price2026: r.price_2026_usd_m == null ? null : N(r.price_2026_usd_m), kind: S(r.kind), note: S(r.note), source: S(r.source), basis: S(r.price_basis) })), [q.data]); const W = 1500, X0 = 120, X1 = W - 330, Y0 = 1986, Y1 = 2026.6; const X = (y: number) => X0 + ((y - Y0) / (Y1 - Y0)) * (X1 - X0); const TRIB = 30, LANE = 62, GROUP_GAP = 38; const lay = useMemo(() => { const maxP = Math.max(1, ...deals.map((d) => d.price2026 ?? 0)); const used = new Set(); let y = 40; let lastGroup = ""; // a platform with no deals in the data gets no lane – it's listed in the footnote instead const hasDeal = (ln: Lane) => deals.some((d) => ln.main.includes(d.acquirer) || ln.main.includes(d.target) || (ln.tribs ?? []).some((t) => t.ents.includes(d.acquirer) || t.ents.includes(d.target))); const empty = LANES.filter((ln) => !hasDeal(ln)).map((ln) => ln.today); const lanes = LANES.filter(hasDeal).map((ln) => { if (ln.group !== lastGroup) { y += lastGroup ? GROUP_GAP : 0; lastGroup = ln.group; } const tribs = ln.tribs ?? []; const yMain = y + TRIB * tribs.length + 18; const place = (d: Deal) => { if (ln.main.includes(d.acquirer)) return { y: yMain, trib: -1 }; const ti = tribs.findIndex((t) => t.ents.includes(d.acquirer)); if (ti >= 0) return { y: yMain - TRIB * (tribs.length - ti), trib: ti }; if (ln.main.includes(d.target)) return { y: yMain, trib: -1 }; // the platform's own take-private const tj = tribs.findIndex((t) => t.ents.includes(d.target) && !ln.main.includes(d.acquirer)); if (tj >= 0) return { y: yMain - TRIB * (tribs.length - tj), trib: tj }; return null; }; const pts = deals.map((d) => ({ d, at: place(d) })).filter((x) => x.at).map((x) => { used.add(x.d); return { d: x.d, y: x.at!.y, trib: x.at!.trib }; }); const tribLines = tribs.map((t, ti) => { const ty = yMain - TRIB * (tribs.length - ti); const ys = pts.filter((p0) => p0.trib === ti).map((p0) => p0.d.year); return { name: t.name, y: ty, start: Math.max(Y0 + 0.5, Math.min(t.merge - 2, ...ys)), merge: t.merge }; }); const mainYears = pts.filter((p0) => p0.trib === -1).map((p0) => p0.d.year); const out = { ln, yMain, pts, tribLines, start: mainYears.length ? Math.min(...mainYears, ...tribLines.map((t) => t.merge)) : null as number | null }; y = yMain + LANE - 18; return out; }); // name only the dozen biggest deals; the rest are on hover const named = new Set([...deals].filter((d) => d.price2026).sort((a, b) => b.price2026! - a.price2026!).slice(0, 12)); return { lanes, H: y + 50, maxP, unplaced: deals.filter((d) => !used.has(d)), empty, named }; }, [deals]); const r = (d: Deal) => (d.price2026 ? 3.5 + Math.sqrt(d.price2026 / lay.maxP) * 19 : 0); const gcol = (g: string) => DEAL_GROUPS.find((x) => x.key === g)?.color ?? "#9aa"; const sel = hover ?? pin; if (q.isLoading && deals.length === 0) return

; return (

THE DEALS

BI's 37-year shopping spree

One lane per enterprise BI platform that did major acquisitions.

{!sel ?

Hover a deal for the details. Stars are priced deals, sized by 2026 dollars; small ticks didn't disclose a price.

: ( <>

{sel.target}

{sel.kind} by {sel.acquirer}, {sel.year}

{sel.price2026 ?

{fmtM(sel.price2026)} in 2026 dollars

{fmtM(sel.price)} at the time{sel.basis && sel.basis !== "disclosed" ? ` (${sel.basis})` : ""}

Price not disclosed.

} {sel.note &&

{sel.note}

} {sel.source && Source ↗} )}

{deals.length - lay.unplaced.length} of {deals.length} deals sit on these lanes. The other {lay.unplaced.length} were by buyers outside today's enterprise BI roster (e.g. {Array.from(new Set(lay.unplaced.map((d) => d.acquirer))).slice(0, 4).join(", ")}). {lay.empty.length > 0 && <> No acquisitions found for {lay.empty.join(" or ")}.}

); } // ---------------------------------------------------------------- main export default function BIFamilyTree() { const [tab, setTab] = useDiveState<"story" | "explore" | "deals" | "analyze" | "making">("tab", "story"); // ---- queries: fixed SQL, everything else client-side ---- const nodesQ = useSQLQuery(` SELECT company_id, company_name, node_type, category, generation, status, founded_year, end_year, years_independent, primary_parent, parents, children, acquirer, acquisition_year, acquisition_price_usd_m, acquisition_kind, funding_usd_m, funding_note, has_bi_lineage, background_pool, in_current_wave, hq, confidence, notes, sankey_col, founder_stints, is_root, value_kind, value_usd_m, value_year, value_2026_usd_m, value_counterparty, value_source, big_tech, big_tech_founder, big_tech_employer FROM "bi_universe"."main"."bi_nodes" ORDER BY company_name`); const careersQ = useSQLQuery(` SELECT k.founder_id, f.founder_name, k.seq, k.company_id, c.company_name, c.node_type, k.role, k.seat_type, k.is_bi_vendor, k.how, k.start_year, k.end_year, k.confidence FROM "bi_universe"."main"."bi_careers" k JOIN "bi_universe"."main"."bi_founders" f USING (founder_id) JOIN "bi_universe"."main"."bi_companies" c USING (company_id) ORDER BY k.founder_id, k.seq`); const lineageQ = useSQLQuery(` SELECT founder_id, founder_name, from_company_id, from_company, to_company_id, to_company, role_at_parent, seat_type, confidence, acquisition_relationship, years_after_parent_acquired FROM "bi_universe"."main"."bi_lineage_edges"`); // ---- ref-anchored caches ---- const nodesRef = useRef(null); const companies = useMemo(() => { const raw = Array.isArray(nodesQ.data) ? nodesQ.data : []; if (raw.length === 0) return nodesRef.current || []; if (nodesRef.current && nodesRef.current.length === raw.length) return nodesRef.current; const out = raw.map((r: any) => ({ id: S(r.company_id), name: S(r.company_name), nodeType: S(r.node_type), category: S(r.category), generation: S(r.generation), status: S(r.status), founded: r.founded_year == null ? null : N(r.founded_year), endYear: r.end_year == null ? null : N(r.end_year), yearsIndep: r.years_independent == null ? null : N(r.years_independent), primaryParent: S(r.primary_parent), parents: S(r.parents), children: N(r.children), acquirer: S(r.acquirer), acqYear: r.acquisition_year == null ? null : N(r.acquisition_year), acqPrice: r.acquisition_price_usd_m == null ? null : N(r.acquisition_price_usd_m), acqKind: S(r.acquisition_kind), funding: r.funding_usd_m == null ? null : N(r.funding_usd_m), fundingNote: S(r.funding_note), lineage: B(r.has_bi_lineage), pool: S(r.background_pool), inWave: Boolean(r.in_current_wave), bigTech: Boolean(r.big_tech), bigTechFounder: S(r.big_tech_founder), bigTechEmployer: S(r.big_tech_employer), hq: S(r.hq), confidence: S(r.confidence), notes: S(r.notes), sankeyCol: r.sankey_col == null ? null : N(r.sankey_col), stints: N(r.founder_stints), isRoot: Boolean(r.is_root), valueKind: S(r.value_kind), valueUsd: r.value_usd_m == null ? null : N(r.value_usd_m), valueYear: r.value_year == null ? null : N(r.value_year), value2026: r.value_2026_usd_m == null ? null : N(r.value_2026_usd_m), valueWho: S(r.value_counterparty), valueSource: S(r.value_source), })); nodesRef.current = out; return out; }, [nodesQ.data]); const stintsRef = useRef(null); const stints = useMemo(() => { const raw = Array.isArray(careersQ.data) ? careersQ.data : []; if (raw.length === 0) return stintsRef.current || []; if (stintsRef.current && stintsRef.current.length === raw.length) return stintsRef.current; const out = raw.map((r: any) => ({ founderId: S(r.founder_id), founderName: S(r.founder_name), seq: N(r.seq), companyId: S(r.company_id), company: S(r.company_name), nodeType: S(r.node_type), role: S(r.role), seat: S(r.seat_type), isBi: Boolean(r.is_bi_vendor), how: S(r.how), start: r.start_year == null ? null : N(r.start_year), end: r.end_year == null ? null : N(r.end_year), confidence: S(r.confidence) })); stintsRef.current = out; return out; }, [careersQ.data]); const lineageRef = useRef(null); const lineage = useMemo(() => { const raw = Array.isArray(lineageQ.data) ? lineageQ.data : []; if (raw.length === 0) return lineageRef.current || []; if (lineageRef.current && lineageRef.current.length === raw.length) return lineageRef.current; const out = raw.map((r: any) => ({ founderId: S(r.founder_id), founderName: S(r.founder_name), from: S(r.from_company_id), fromName: S(r.from_company), to: S(r.to_company_id), toName: S(r.to_company), role: S(r.role_at_parent), seat: S(r.seat_type), confidence: S(r.confidence), rel: S(r.acquisition_relationship), gap: r.years_after_parent_acquired == null ? null : N(r.years_after_parent_acquired) })); lineageRef.current = out; return out; }, [lineageQ.data]); const byId = useMemo(() => new Map(companies.map((c) => [c.id, c])), [companies]); const loading = nodesQ.isLoading || careersQ.isLoading || lineageQ.isLoading; const err = nodesQ.error || careersQ.error || lineageQ.error; // ---- KPIs (anchored to full data) ---- const kpi = useMemo(() => { const lineageCos = new Set(lineage.map((l) => l.to)); const founders = new Set(lineage.map((l) => l.founderId)); const multi = new Set(); const byF = new Map>(); for (const s of stints) { if (!byF.has(s.founderId)) byF.set(s.founderId, new Set()); } for (const [fid] of byF) { const path = stints.filter((s) => s.founderId === fid).sort((a, b) => a.seq - b.seq); const prior = new Set(path.slice(0, -1).filter((s) => s.isBi).map((s) => s.companyId)); if (prior.size >= 2) multi.add(fid); } const gaps = lineage.filter((l) => l.rel === "within-5yrs-of-acquisition" || l.rel === "long-after-acquisition").map((l) => l.gap!).sort((a, b) => a - b); const median = gaps.length ? gaps[Math.floor(gaps.length / 2)] : null; const wave = companies.filter((c) => c.inWave); const waveLineage = wave.filter((c) => c.lineage === true).length; const waveUnknown = wave.filter((c) => c.lineage == null).length; const post = wave.filter((c) => c.founded != null && c.founded >= 2023); // founded after ChatGPT's launch (year granularity) const postLineage = post.filter((c) => c.lineage === true).length; return { lineageCos: lineageCos.size, founders: founders.size, multi: multi.size, median, wave: wave.length, waveLineage, waveUnknown, post: post.length, postLineage }; }, [lineage, stints, companies]); return (

{/* Masthead: a hero stage in the same sky as the charts (Ryan, 2026-10-12: the plain title looked basic) */}

EXPLORING THE HISTORY OF TODAY'S BI FOUNDERS

The BI Universe

By Ryan Dolley ·Built on MotherDuck ·Spot something wrong? Tell me

{/* Tabs */} {/* headline KPI tiles removed (Ryan, 2026-10-13): they repeated the Story; the table is for looking things up */} {err ?

{String(err)}

: null} {tab === "story" ? setTab("explore")} /> : tab === "explore" ? : tab === "making" ? : tab === "deals" ? : } {/* Footer: how this was built */}

); } // ---------------------------------------------------------------- How I made it (Ryan, 2026-10-13): a vertical scroll of five // sections down a single constellation line, same night-sky look as the Story. Copy is placeholder until Ryan writes it. // Ryan's words, 2026-10-13 (typos fixed only). [[shot:...]] = screenshot to come; [[book link]] = link to come const MAKING: { k: string; t: string; body: string[] }[] = [ { k: "The idea", t: "Every founder has an origin story", body: ["As an author, advisor and independent analyst covering analytics and business intelligence, I meet founders of all stripes. I'm always fascinated by their origin stories – what makes someone decide to start a company to help people analyze data, and what sort of background gives them the confidence to believe they can do it? Many of the founders I work with have a background in the industry, but many do not. That got me wondering, where do these people as a whole come from? And is it possible for one man to answer that question now that we have AI?"] }, { k: "The research", t: "Burning all the tokens", body: ["The research here was done primarily with a combination of Claude Opus 5.5 and OpenAI Astra 6. First, the definition of BI was decided as being tools primarily about visualizing, explaining, reporting on data, or preparing data specifically for that purpose. It's a fuzzy line for sure and we could argue all day about what companies fall on which side of it. But a line had to be drawn.", "Opus did the initial research pass in Claude Code and wrote the findings to JSON files. First, based on the criteria above, how many companies can we identify that were founded after 2020? Once the companies were set, Claude identified the founders and did a deep dive on their professional backgrounds, using company websites, press releases, articles and blogs, and LinkedIn profiles.", "Once the first pass was complete, a dossier was handed off to ChatGPT to verify. This is a technique I like to use with extremely complex research or technical projects – ask one model to do the first pass, and another to verify. Because the relative strengths and weaknesses of the models are always changing, this gives me more confidence in the results. ChatGPT confirmed most of what Claude found, but did catch a few important errors.", "Finally, I had it grade each finding on confidence. To the extent I could, I manually tracked down many low confidence findings."] }, { k: "The stack", t: "Everything in its right place", body: ["The entire dashboard was built in Claude Code using Opus 5.5, and deployed to [[MotherDuck]]. MotherDuck started as a cloud service for managed DuckDB databases, but has evolved to an all-purpose analytics platform with the core databases, pipelines (flights), BI (dives) and context (guides) in a single package. Because MotherDuck handles the entire stack in one place, I could focus entirely on the analysis and visual design without ever worrying about integration or cross-tool weirdness. They made it so easy. Full disclosure, MotherDuck is one of my long-term clients.", "[[shot:Architecture diagram]]"] }, { k: "The build", t: "From Sankey to star map", body: ["The process took several weeks of consistent effort mixed in with my other daily responsibilities and writing and editing my upcoming book [[book link]]. The initial pass was a terrible looking Sankey diagram that I played around with for about ten minutes before realizing it was never going to work.", "[[shot:The first attempt: a Sankey diagram]]", "After some thinking, I came up with an idea of 'coaching trees' like you see with NFL head coaches, but quickly pivoted to 'family trees' because more people would understand the reference. That created a very easy to understand visual, but not one anyone would get excited about.", "[[shot:The family tree]]", "Finally I hit on the idea of a star chart or constellation map. That gave me the interesting visual hook I needed while still preserving the easy-to-follow relationship patterns with a pleasing visual metaphor.", "From there it was countless iterations in Claude and MotherDuck, both in making the visuals and structuring the data. Claude made most of the hard DB decisions for me, which I was comfortable with given the nature of the data. However, it made a lot of puzzling display decisions that took a long time to uncover on my way to the report you have today. And, my god, the writing was abysmal."] }, { k: "The receipts", t: "Am I sure it's right?", body: ["This gets to the big question you might have – if AI did all this research, how do I know it's correct? The truth is, I am not 100% certain every relationship is correct. I did what I could to verify low confidence relationships and figures, however it's likely that some items marked as high confidence are incorrect. This is the nature of the work we can do with AI now. A report like this was completely impossible for one man to build before AI – it would have taken a company like Gartner to assign a small team of analysts this task for six plus months to pull it off. The fact that I did it alone is a miracle. But the downside is the loss of absolute, 100% deterministic results. One man can build it, it would still take a team to check it all.", "That's where you come in. If you see something on this report that you know is wrong, [[tell me]] and I will fix it."] }, ]; // affiliate link (Ryan, 2026-10-13): this version goes public const BOOK_URL = "https://amzn.to/3VJQ3wg"; const MAKING_CLOSE = ["I hope you find this as interesting to read as I did to create.", "Ryan"]; function MakingTab() { const refs = useRef<(HTMLDivElement | null)[]>([]); const [seen, setSeen] = useState>(new Set([0])); const [zoom, setZoom] = useState(null); // image popped out to full size useEffect(() => { if (!zoom) return; const k = (e: KeyboardEvent) => { if (e.key === "Escape") setZoom(null); }; window.addEventListener("keydown", k); return () => window.removeEventListener("keydown", k); }, [zoom]); useEffect(() => { const io = new IntersectionObserver((es) => es.forEach((e) => { if (e.isIntersecting) { const i = Number((e.target as HTMLElement).dataset.i); setSeen((s0) => new Set(s0).add(i)); } }), { threshold: 0.25 }); refs.current.forEach((el) => el && io.observe(el)); return () => io.disconnect(); }, []); return (

{zoom && (

setZoom(null)} role="dialog" aria-label="Enlarged image" style={{ position: "fixed", inset: 0, zIndex: 100, background: "rgba(5,8,12,.88)", display: "flex", alignItems: "center", justifyContent: "center", padding: 24, cursor: "zoom-out" }}>

)}

HOW I BUILT IT

Behind The BI Universe

{/* the constellation line the sections hang from */}

{MAKING.map((m, i) => (

{ refs.current[i] = el; }} data-i={i} style={{ position: "relative", marginBottom: i === MAKING.length - 1 ? 0 : 72, opacity: seen.has(i) ? 1 : 0, transform: seen.has(i) ? "none" : "translateY(16px)", transition: "opacity .8s ease-out, transform .8s ease-out" }}>

{String(i + 1).padStart(2, "0")} · {m.k.toUpperCase()}

{m.t}

{m.body.map((para, j) => para.startsWith("[[shot:") ? (MAKING_SHOTS[para.slice(7, -2)] ?

Screenshot to come: {para.slice(7, -2)}

) :

{/* [[book link]] and [[tell me]] become links in Ryan's text */} {para.split(/(\[\[book link\]\]|\[\[tell me\]\]|\[\[MotherDuck\]\])/).map((part, q) => { const ln: React.CSSProperties = { color: DARK.ai, textDecoration: "none", borderBottom: "1px solid rgba(92,195,255,.5)" }; return part === "[[book link]]" ? (see it here) : part === "[[MotherDuck]]" ? MotherDuck : part === "[[tell me]]" ? tell me : {part}; })}

)}

))}

{MAKING_CLOSE.map((line, j) =>

{line}

)}

); } const TABS = [ { key: "story", label: "Story", hint: "The two-minute version" }, { key: "explore", label: "Explore", hint: "The star map" }, { key: "deals", label: "Deals", hint: "BI M&A since 1989" }, { key: "analyze", label: "One Big Table", hint: "Dig in yourself" }, { key: "making", label: "How I built it", hint: "The gritty details" }, ] as const; // ================================================================ TAB 1: COMPANIES type SortKey = "name" | "founded" | "yearsIndep" | "status" | "parents" | "children" | "acquirer" | "funding" | "category" | "generation" | "lineage" | "confidence"; function CompaniesTab({ companies, lineage, stints, loading, kpi }: { companies: Company[]; lineage: LineageRow[]; stints: Stint[]; loading: boolean; kpi: any }) { const [gen, setGen] = useDiveState("gen", "all"); const [lin, setLin] = useDiveState("lin", "all"); const [conf, setConf] = useDiveState("conf", "all"); const [kind, setKind] = useDiveState("kind", "vendors"); const [q, setQ] = useState(""); const [sortKey, setSortKey] = useDiveState("sort", "founded"); const [sortDir, setSortDir] = useDiveState<"asc" | "desc">("dir", "desc"); const [page, setPage] = useState(0); const [openId, setOpenId] = useState(null); const genOptions = useMemo(() => [{ value: "all", label: "All generations" }, ...Array.from(new Set(companies.map((c) => c.generation).filter(Boolean))).sort().map((g) => ({ value: g, label: GEN_LABEL[g] || g }))], [companies]); const linOptions = [{ value: "all", label: "BI founder: any" }, { value: "yes", label: "BI-alumni founder" }, { value: "no", label: "No BI lineage" }, { value: "unknown", label: "Unknown" }]; const confOptions = [{ value: "all", label: "Any confidence" }, { value: "high", label: "High" }, { value: "medium", label: "Medium" }, { value: "low", label: "Low" }]; const kindOptions = [{ value: "vendors", label: "BI vendors + current wave" }, { value: "all", label: "Everything incl. acquirers & employers" }, { value: "bi-vendor", label: "BI vendors only" }]; const filtered = useMemo(() => { const ql = q.trim().toLowerCase(); return companies.filter((c) => { if (kind === "vendors" ? !(c.nodeType === "bi-vendor" || c.nodeType === "roster") : kind !== "all" && c.nodeType !== kind) return false; if (gen !== "all" && c.generation !== gen) return false; if (lin === "yes" && c.lineage !== true) return false; if (lin === "no" && c.lineage !== false) return false; if (lin === "unknown" && c.lineage !== null) return false; if (conf !== "all" && c.confidence !== conf) return false; if (ql && !(c.name.toLowerCase().includes(ql) || c.parents.toLowerCase().includes(ql) || c.acquirer.toLowerCase().includes(ql) || c.category.includes(ql) || c.pool.includes(ql))) return false; return true; }); }, [companies, kind, gen, lin, conf, q]); const sorted = useMemo(() => { const dir = sortDir === "asc" ? 1 : -1; const val = (c: Company): any => { switch (sortKey) { case "name": return c.name.toLowerCase(); case "founded": return c.founded; case "yearsIndep": return c.yearsIndep; case "status": return c.status; case "parents": return c.parents.toLowerCase(); case "children": return c.children; case "acquirer": return c.acqYear; case "funding": return c.funding; case "category": return c.category; case "generation": return GEN_ORDER.indexOf(c.generation); case "lineage": return c.lineage === true ? 2 : c.lineage === false ? 0 : 1; case "confidence": return ["low", "medium", "high"].indexOf(c.confidence); } }; return [...filtered].sort((a, b) => { const va = val(a), vb = val(b); if (va == null && vb == null) return 0; if (va == null) return 1; // nulls last regardless of direction if (vb == null) return -1; return va < vb ? -dir : va > vb ? dir : a.name.localeCompare(b.name); }); }, [filtered, sortKey, sortDir]); const pageRows = sorted; // no pagination: the table scrolls const onSort = (k: SortKey) => { if (sortKey === k) setSortDir(sortDir === "asc" ? "desc" : "asc"); else { setSortKey(k); setSortDir(k === "name" || k === "parents" || k === "status" || k === "category" ? "asc" : "desc"); } setPage(0); }; const cols: { k: SortKey; label: string; num?: boolean; w?: number }[] = [ { k: "name", label: "Company", w: 150 }, { k: "founded", label: "Founded", num: true, w: 58 }, { k: "yearsIndep", label: "Yrs indep.", num: true, w: 58 }, { k: "status", label: "Status", w: 78 }, { k: "parents", label: "Parent(s)", w: 130 }, { k: "children", label: "Kids", num: true, w: 40 }, { k: "acquirer", label: "Acquired by (yr)", w: 120 }, { k: "funding", label: "Funding", num: true, w: 66 }, { k: "category", label: "Category", w: 90 }, { k: "generation", label: "Gen", w: 62 }, { k: "lineage", label: "BI founder", w: 70 }, { k: "confidence", label: "Conf.", w: 58 }, ]; const detail = useMemo(() => { if (!openId) return null; const asChild = lineage.filter((l) => l.to === openId); const asParent = lineage.filter((l) => l.from === openId); const founderIds = Array.from(new Set(asChild.map((l) => l.founderId))); const paths = founderIds.map((fid) => ({ fid, name: asChild.find((l) => l.founderId === fid)!.founderName, path: stints.filter((s) => s.founderId === fid).sort((a, b) => a.seq - b.seq) })); return { asChild, asParent, paths }; }, [openId, lineage, stints]); return (

{/* headline like the other tabs (Ryan, 2026-10-13) */}

ONE BIG TABLE

Every star in the universe

All {companies.length} companies in the research: the new startups, the BI companies they came from, and the buyers along the way.

{ setKind(v); setPage(0); }} /> { setGen(v); setPage(0); }} /> { setLin(v); setPage(0); }} /> { setConf(v); setPage(0); }} />

{ setQ(e.target.value); setPage(0); }} placeholder="name, parent, acquirer, pool…" style={{ fontFamily: NUM_FONT, fontSize: 11, padding: "5px 8px", border: `1px solid ${C.border}`, borderRadius: 3, width: 190, background: C.panel, color: C.text }} />

{sorted.length} of {companies.length} · {kpi.waveLineage} of {kpi.wave} current-wave companies have BI lineage

{cols.map((c) => ( ))} {loading && pageRows.length === 0 ? Array.from({ length: 6 }).map((_, i) => ( )) : pageRows.map((c) => { const open = openId === c.id; return [ setOpenId(open ? null : c.id)} style={{ cursor: "pointer", background: open ? C.hi : "transparent", opacity: c.confidence === "low" ? 0.78 : 1 }}> , open && detail ? ( ) : null, ]; })}

onSort(c.k)} style={{ textAlign: c.num ? "right" : "left", fontFamily: NUM_FONT, fontSize: 10, textTransform: "uppercase", letterSpacing: 0.4, color: sortKey === c.k ? C.accent : C.muted, position: "sticky", top: 0, zIndex: 1, background: C.panel, fontWeight: 600, padding: "6px 6px", borderBottom: `1px solid ${C.border}`, cursor: "pointer", whiteSpace: "nowrap", minWidth: c.w, userSelect: "none" }}> {c.label}{sortKey === c.k ? (sortDir === "asc" ? " ▲" : " ▼") : ""}

{c.name}{c.nodeType === "acquirer" \|\| c.nodeType === "employer" ? {c.nodeType} : null}	{c.founded ?? ""}	{c.yearsIndep ?? ""}	{c.status}	{c.parents}	{c.children \|\| ""}	{c.acquirer ? {c.acquirer} ({c.acqYear}{c.acqPrice ? `, ${fmtM(c.acqPrice)}` : ""}) : ""}	{fmtM(c.funding)}{c.fundingNote && c.funding == null ? — : ""}	{c.category}	{GEN_LABEL[c.generation] \|\| ""}	{c.lineage === true ? yes : c.lineage === false ? no : ?}
{c.notes ? {c.notes} : null} {c.pool && c.nodeType === "roster" ? Founder background pool: {c.pool} : null} {detail.paths.length ? detail.paths.map((p) => ( {p.name}{" "} {p.path.map((s, i) => {i ? " → " : ""}{s.company}{s.how === "via-acquisition" ? "" : ""})} )) : No BI-alumni founder recorded. } {detail.asParent.length ? Spawned: {Array.from(new Set(detail.asParent.map((l) => l.toName))).join(", ")} : null} {detail.paths.length ? arrived via acquisition of the previous employer : null}

Years independent = founded → acquisition/merger, or → {AS_OF} if still independent (take-privates count as independent). Low-confidence rows are dimmed, not hidden; click any row for the founders and their paths.

); } const td: React.CSSProperties = { padding: "5px 6px", borderBottom: "1px solid #eee", verticalAlign: "top" }; const tdNum: React.CSSProperties = { ...td, textAlign: "right", fontFamily: NUM_FONT, fontVariantNumeric: "tabular-nums" }; // ================================================================ TAB 2: FLOW (sankey by generation) // Screenshots for How I made it (Ryan's desktop, 2026-10-13), embedded so the dive stays one file const NO_CAPTION = new Set(["Architecture diagram"]); const MAKING_SHOTS: Record = { "Architecture diagram": "data:image/svg+xml;base64,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"The first attempt: a Sankey diagram": 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tXpkbM0Sljn5RXmnavTraGWSJdik8D+VfJZL8U/kfccQfDT+f6BmjJq+mnyn75Aq4lhCv3stX0bqRR8qqcmYuCeBUyWs79F/Ot5Yo0+4AKfWbrdkaKj3ZjrpjkfMwX9asrZQJkyZOO5q/QcHrWbqSfU0VOK6ESwRJ91RUtNORkjn2o3qTjPSs79y7DqKTcKTd7GgY6im5bsKT957UAPopm1z1b8qTygfvEn8aAHllHU4qMzx9jn6UMkMS7mHH51QlnuJPlgUqPXFZzqKO7NadKU9kTy3qx/wnPvxVCTULluIwF/WoJIpUG+QY+tUZDO3CDArinifM9CnhPK5NLLI3M8pP44qmZoEPyLn3pptpWOWNNNsV+8wFc7rR7nWqElshxu3/hAFMN1N60ghLHCZY+wqQadev0XFR7aPcr2MuxgaxrOqWJjWzuHiDZJCnGcYrpfh54g1CfV5l1O4klQQEgMSedy/0p6aT4YAH/CTztHJn5B0yO/611vhOx8GQ6g7+H5fNm8s7gTnC5HPPvivPcZOtzKWnqeLKlJYm7lp2uZGoeKdZt9XuLixm86xsUaW5UxgY+XKxK27lu544FST+L9ZNxLp8ttsuII3mkRXXaI0RXJDdCfmAx6+1dqvhTw8s8lwtsA0rMz/ADPhi/DEruwc/SkPhLw61utq1qCisWGWbOSADls5IIABBOMCvS06noXa2OGbxIxldorKSeMGTa7Oq58qNZWODyOGx9as/wDCYxrcwT2lqEsz5+ZGK7mMMe4jBPy/Nxk16CdI0wkkwL8xcn/tou1/zAxVJfB+gTTNKtkrM6lD94jDLtOBnAyBgkcmmlHsJub3Zx8XxAlmmDLbhYYkuPOywHzRLGy7SccHf3rrvDuvJ4gtJbhYzG0MrQuuc8qAcg+hBrWg+G2nzIVFioVsk72bncoU5ycnIA/IV1OkeALLS0dIMRCRt7hSWJbAGSWJ5wOtXyX2Rl7RLdmBSgE9K9Eh8O6bFywLn3NakVlaQjEUaj8KpUX1IeIj0R5fFZXc3+qjZvoK0YtA1OX/AJZ7f944r0SSWOFN8jBVHc8VgXfiSzhytvmRh+A/Om6cVuyVWnL4UZMfhW5P+tkVfpzUj6Dp1qM3dzj24FZd1r2oXOQG2L6L/jWOzMx3Mcn1NQ3FbI1UZv4mbsraDBxErzEd84FUJLyI8QwInvyT+tctruv6d4dtEvdSLBHkEY2jJycnOB2ABJPYVUuPF2g2uotplxOqyI2xyeFU7N/J9xU3b2LsluzitQ0vVz4iluNPtmMj3RlzLGDEAU2iRJhgj/cOaqi18QCygMkd/s2kTqMeYZ/LwCvGfL359unavU5NY0qKUwSXEauE8zBYZ24zn6Y5qi/inw/HCbj7XEUDbchgRnGcflRzDUOx5lff8JjZWV1cXbXAuYoZXeRceR5Ytvl29t/m/jn2rp7FvEUeh6ibSO4LybVtBcf6wM6KrsfRQxLfgccVtah4p021MUMylluNwBI+XCoXO722g1UHjC1lnit7d4y0xcJg5H7sbm57YBzU85SpPucxpvhrX9Mkj8OKZI7JJ3l823JVdjwN8uTz/rQD/wACrNuY/HE7QxTQ3B3QLHMMZVg1sQx44B83r3/CuvufFXl+WRKHWbdtMeGHysinJHvItXItQa4MSPdIjzfcRmAY8kdPcijnfYPZLbmOJu7TXdRjvtGDSyQ6esbqI2+Z2kaN/L45zEFYAe4rSgtvEiXzCdboAvI1v5WAigzykmTPGShXGf510Czaakbz/boVUPhyG/jIJ598A/lVpRZNMkH21C8ib1G7krjOR7Yo532H7OP8xV8FjV006dNXEuQw2NNkM3yDcdp5HzfUZ6cVzZilyflb8jXa2VvbXifabO5WZUPJQ5GRzit//hZyj/lwT/vr/wCtXjZjCnUcfbT5d+lztw0pwT9lHm+dj0zwuCPDtkD/AM8VrerO0i8/tDS4L7YE81A20dBntWjX0dFJU4pdkfPVbucr9wooorUzCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA//9X7wooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAr5I+Nv/ACOY/wCveP8ArX1vXyR8bf8Akcx/17x/1r1Ms/jfI8/MP4XzK/wt/wBfef7qfzNYEOg+IYHM+m28sdzF9uIPkiMDzfMMZEnWQklcD39q3vhd/rb3/dT+Zr16unGRvVZz4WVqaPIdTu/Fd3LLd2cV3HGZ8wxbCpIEUeM8EqN+7qMdc1YhsPFIaWcGeIxS74o1wFbdduWyMc/uiD9Oa9Work5Tp5jxO3XxwbOc3j3If5PMCoT8+87tmBnbt4O3PGD61uaU3ij+27FrxLjyzEglVvuKNjbiWxgndjIOGzXqFFHL5hzeR5NrGl3Ltq9lLYPc3d7JmzuQuQilFVf3n/LPy2BPUfrWLLBrelx3Kv8AaFBuJjKZR+5ZXmXyzHxyzcn8/avc6Y8ccoAkUMAQRkZ5HQ0nAfOeN2y+Ov8ASGvGuPvL56qpzjzvm8k45Pl5+7n86bc2XiGFri5tvtymbyCCwLMUXzBtbaCVP3c4GemR1r2ms7Urr7NbkKfnfgf1NNQvoJztqcu15c3VrAt0CrpGu8E5O7AzkjjrUFFFdyVlY4m7u4UUUVQgoorGvb5TmNDhe59aaVxN2H3V4WPlxHjualsbfaPOfqelYsU0byYA3Ada0jcXUvyxjA9q1asrIzT6s1XljjGXIFUJdQA4iGfc1XFlcOctx9TV+10SW5bavPrjpUWit2V7z2MmSeWU/OfwpI4JpjtiUsfYV6DaeG7GDDTDzG9+lb8cUcS7YlCj2GKzddL4UaKi3uzzWHw9qk3Jj2D/AGuKk1DwzcQ6ZcTSOPkidsD2UmvSay9c/wCQLef9cJP/AEE1zVa8nCXodNCjFVI+qPlztXtIu7W0tYmupFiBUYLEAdK8W7V6prtg+peG5bSKMSSNEAgIHXjpmvlMr3n8j7fOvhh8zcW5tng+0rIpj67weOPepS6K4jJAZskDucdfyry3XtM8RXFxd29jE/kSJLGqLgKQY/lI5wPm9uvU0660vxI+Z9PWVQomEXmkGRVcQ55/2irba9y580epUV5TLaeLktohB57FC7pnr98EKwz/AHQcZJ9MV1Olf21/aapdxyLFGLjc7EbWLSAx4+i/lTuB1tGKKUAngUwEwKQjPTir0On3c3Krgep4rVi0RRzM+fYVlKrCO7NI0pS2RzgPrxU8cE0pxGpNdYlhZRYwgJHc81OJUQhGIyc4xXPLFLojeOGf2mc1HpF2/wB4BfrV5NDX/lpJ+Qra8wdgT+FBd/4VP48Vi8RNm6w8EUE0mzTqC31NQ3UtjYrtjRS/Yen1qK/1SWLMMG3d3PXFc0RK5Jd+T6VzTrSelzrp4eO7RYlmeZt7/wCAFZV1fxQfIpBb+VVrudBmKMknuc1QigMjbY1ya5JSZ6EYJbjJLhpW3HLGnxQXc/8Aq1wPU1sQWCJ80nzH07VoAADApKPcpzS2MaPSc8zyE+y8VdjsLSLkICfU81coqrIzcmxAqrwoA+lLUiRSSHCKT9K0ItIu5PvAKPeqSbIcktzxzx//AMfdt/uN/OtH4TgnX5wP+fY/+hrTPibZizvbRd24tGx/UV0/wAVW8W3W4A4s2xn/AK6JXBGN8UkfKVp2xbku57Vb6Vf3X+qjOPU8Cty38KzNzcyBfZea0ZPFmjxRvI7n93eLYkY5813WMcemWHNaMWt6PMSsV1ExDiM4YffOcL9eDX0apJbnZLESexBb+H9Ng5ZS59W/wrXjhihGIlC/QYpIJ4bmFbi3YOjjKspyCPUGpa0SS2MXJvdhRTJJEiQySEKB1JrldQ8Son7uwG4/3j0/ClKSW44wctjp57iG2jMk7BQPWuVvvE4GUsVz/tN/hXKXF1cXT+ZcMWPvUFc8qrex2QoJfEWJ7u5um3TuW+vT8qr0VWlu4Yjszub+6vJrFvudKXRFmo5JYohmRgo96qH7bP0xEvvy1LHp8CnfJmRvVuaV+xVl1OR8Q6VbeJLqMTmSSCOKRBHHlcvJ8pYn025GPese08D6pJdpdahNE+1ACSmSzCEw7j+HNepgBRhRge1LTu+4ny9EeND4TZlJmuw4MQXcQ24MIPJ4Gcbe/wClamp/DeO8Dx2kqRRyABk2kDiLys5HOe/v0NeoEhRknFUZNStI+A24+i80+axKhfY5fU/CL6lo9ppjTKjW0MkTMF4YyQNDn8N2apan4CS+kn8mVYUnVkIVcbQ0CwkjHfKg/Suu+3Xcv/HtCfq1M8vV5fvMqD2pc/Yr2S6nE2/w9eJVd50R9zMwUMQcmEj7xz0i/X2rKfwnfWuow6fGRJCZ4pnnKjKiMMCFbOR16etZmneLNYu/Ik1FxsuYfMBEbqA3mIm0Fjh8hicjpjNQ3XifVfJNzDFs2WzTmMo0hYrNJHjcvCjCZyau8+xnan3Ol0XwRY6RPby3VxFILZ4yBgnescciDO4kZzJnp2ptv4RgtrSXTReRmGeFY3fZmRSsRiGw9hg5/P1rUXXdEV2LQy+UDKqS8bXeFdzqPpg4PQ4qvD4s8OyKrrDIQBO0hBBCLbhS5JBwRhxjFTeZdqSNHwpplr4fgniaVXkuCg+QNj5F2D7xPJrRPgDxR/zwH/fS/wCNVdCvYtUur2Oa2Nv9m8rYr/e+dN+TgkelIfGnif8A5+2/If4V4+YujeP1i/lax24ZTs/YW+Z9B6DazWWi2tpcDbJHGFYehFa1Y/h64mu9Dtbm4bfJJGGZj3JrYr6Kjb2ceXayPnqt+eV+4UUUVqZhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAf/1vvCiiigAooooAKK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P4XzK3wu/wBbe/7qfzNev4NeQ/C3/X3n+6n8zXNyXniNbB9IVrglrw3vm/NkQi58vys/7wHH93PaunGStVZz4WN6aPoGivIdP8Sa4sRWRvKMauY4TEzGXmUlt3baVA//AFirkOv+JYb6C1u5FeQm2/dLFjzVmGZHB7eX0x7c9a5OdHTys9TwaSvBILrU7e0YWdxK8phV3uF37hiaPd50bZCvtJ6HpntW3qfinxNp2nR3e4O8jTuqiPA2RPtVc4JJYc9Mntilzj5D2CivELjxT4psDJFbNv3T3Dq8inHylPLiGFPBDE8c+latx4q8Q/bXSBl3r9pc2xjOVW3ZSPn771z+dPnQuRnrVUr15DH5EH334+g7mjweNQ8R6UmrTDy4py0qFhjbCSSgPvtwT7mtCZYfOZoRx0BPXAqoyVyXFlK0tI7SPYnJPU+tYGr3Rln8lT8qfzrfvbgWtu0vfoPrXFEknJremrvmZjN2VkABYhR1NdhbpFp1oBKQO5+tcrZ3MUUplxvKdB2z/wDWonuJrl98pzWkot6ERdtTbS4k1O48pfliXk+/1rerP022+zWw3D5m5P8AStCueT1sjaO2oUUVt6Vo02oMJH+WIHk+v0rNtJXZok27Irabpk+oy7U4Qfeb/PevSLW1hs4RBAMAfrToIIraIQwqFUdhU1cNSo5eh2QgohRRRWRoFYHiv/kVtS/69J//AEW1b9YHiv8A5FbUv+vSf/0W1TP4WaUvjj6nwKelfSF/oVvrtpp6XeGjt3WZkIyGxGy49vvZr5vPSvq+xbFnD0/1a/yFeHhN2fV5jtE4XW/BD39zA2mypbQQLHtiCnAaOXzMjaRnd0Oc+oqofhtqlxcQNb3O5YGjcDY3VJGc9GAwd3fOO1eprPKpypxUhvbsjHmMPoa9FSPEcTjIPhHetFa/v44Ps8VrGSy/eNuJFLEA9WEnHPGK7fwd4O0LwbayRXVwlzK7RnfjHEcMcWMAnuhP41VaWV/vsT9TUdVzpdCHSb3Z6BL4k06IYiDPj0GBWPP4oun4t0VB6nk1y9FJ1JMaowRdudQvLs5nkJ9u1UqKztQ1GCygZ2YFgMADk5rNvqzaMeiOe1Gfz7tmHRflH4Vly3EUIy5/Cqxkurj/AFY2A9z1p0djGp3SHefeuVu56KikrMt6Yl5qErNCNqDjPbmuttdKhgw8vzt+lTabbi3tFXGCfmP41fraMbbnJUqNuyDp0ooorQxCsTUtR8rNvAfm7n0qTUdREAMMJy/c+n/165gB5ZNiAsx5xWcpdEb04dWJyTgck10Wn6asRWa5+8furUlhpggxNNy+OnpWuqqoAHaiMerCdS+iG7mIyo745pSHO4ZxnpjtT6K0MBu35t2T0xXa+HtESJFvbhfmHKA9veqGg6R9rcXdwP3angf3j/hXfV0U4faZx16v2UfJ/wC0GqrrunkDGYHJ/wC+qqfs/f8AI23f/Xm3/oyOvXfiP4g8D6PfwReKrH7XK8RMbbQ2FB5HPvWZ4L8ZfDubUZF8O2BtZvKJZggGV3DI4PrivNlSisVzua32PIcV7S9z3GivOH+KfhWO9ewd5A8bmNiUYLvUbiu7G0nHbNaB8f6Atp9ud9sQj84sSBhCM7iOuMV6/PHudV0dvRXEwePNFuvMNsS4iba5yBggA/lz1q0fFtoOkTn8RS9pHuLmR1EMMVunlwKEXJbAGBljkn8Sc1JXIHxdB/DC351GfF6/wwfrR7WPcOZHZ0Vw7eLpT92ED8art4svT92NB+dL20Rc6PQKK84fxRqbfdKr+FYureKNWhtGxMQzfKMYHWodeK1Fzou63fG/v3cfcT5V+g/xrW8PCCxgk1a8IVfuJ6n1xXiU+p3KY3yMS3AGafJd3UyKkjsQowBniuFV9eaxjz63PUdX15tRba7hIh0XP6ms6wEN7J5ayKoHBY9BXF2GnSXh3yZWMd/X6V1kMSQgRRDA7AU1NyfMxpt7no9jdaBpce2GQMx6tgkmrTeJdKXozH6CvOhb3DfdjY/gamGn3zfdhf8AI10qrLZIvmfQ7lvFOmjoHP4VGfFlj2jf9K5AaRqbdIW/KpRoWrHpCfzFP2k+w+aR0x8W2vaJvzFM/wCEui7Qn8//AK1YA8Pasf8Aln+op48N6qTjYPzo5qgXkZbfF/TFtoZ/ssm6WSaMoWAKGDPmFuwAIA/EVYuvi1oVtJ5OAzh1V1BOVDEjccgcAiuYufhNfXF9f3nmAC9i2KnaNm2+Yw932rn6VDD8KdfE8t1f3EVx5k6zkbNrkR52x5zjaFOB+dXeZV2eixePLa53rborlFViA2cBxlfzHNciPia6ZxZR8nPU1B4P+HmtaLopiutpmlZnYFslVA2xpnHOxAq/hWR/wr7xKWIEaZ/3hXkZhPFRcfYX+49bLo0Zc3t/Kx71o94dQ0uC+KhDKgbaOgzWlWToNrNZaNbWdwMSRxhWHuK1q9ulfkjzb2PPqW5ny7BRRRWhAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH/9T7wooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAr5I+Nv/ACOY/wCveP8ArX1vXyR8bf8Akcx/17x/1r1Ms/jfI8/MP4XzK3wu/wBde/7qfzNevYFeQ/C7/W3v+6n8zXr1deL/AIrOXDfw0JgZzgUYGd2Bkd6WiuU6BoVRnAHPXilKqeoHFWoLO6uTiCNm+grobPwxPJh7xtg/ujk/4VEpqO7LUW9jlkhMrBEXcSeABmtGx+HGkTzSXupQgGcEOoJyQxBYHnjOOcda9DtNPs7IYt0APr3/ADpup6jBplo1zOQMcAE4ya5pVXLSJvGmo6yOc125gsLZNHsVEahRkLwAo6CuPrOvNdheRpSTI7HJPQZrmNS1m6MRKtsB4AFdtKi0rHJUqq9yXW9UhM/kqchOw9e9cu91NcMI04B7CqXXk1q2EGB57fhXoKKgjicnJl+KMRRhB2rV0y1+0XALfdTk/wCFZ1dnYWwtbcKfvHlvrWE5WRtCN2XaACTgVZtbS4vJPKt1LH+X1rutL0KCyxLNh5fXsPpXDOoonZGDkZGleHmkxcX4wvZO5+tdoiLGoRBgDgAU6iuGc3J6nZGKjsFFFFQUFFFFABWB4r/5FbUv+vSf/wBFtW/WB4r/AORW1L/r0n/9FtUz+FmlL44+p8CnpX1dZf8AHnD/ANc1/lXyielfV1l/x5w/9c1/lXhYTqfWZjtEs0UUmD613nji0hIHWk2g8HNII0BzgUAMM8Q6Hd/ujNMMlw3+rTHux/oKs0UDuUjbTS/66U49F4H+NYmrJBCVt4VAP3ie/tXTkhQWPQVw91Mbi4aY9zx9O1Zz0RtSu2QVZs4ftFykXYnn6Cq1dFokGFa5bv8AKP61nFXZtN2Vze6cCiikJAGTwK6DiFrD1LVBCDDbnLdyO3096r6hqxcm3tD9W9fpUVlpEkpE1z8o9O5/wrNyvpE2jFLWRQt7W4vZMJ0PUntXV2dhDZr8vLY5Y1ajijhQJGMAU+nGNiZzbCiiirMwra0fSX1CbfIMRL1Pr7CoNL02XUZwo4RfvN7en1r0qGGK3iWGEbVUYAranC+rOetV5dFuPREjQIgwBwAKdRRXUeefOfxq8I+JPEer2Vxolo9wkUDK5Ujgls45Irlfh34E8XaXq0tzqFjJFG8BUMxXqWU46+grt/jB468S+E9Vs7bQ5hEk0LOwKq2SGx3BrmfAfxM8Ya5qstrqNwrosJcAIo53KOw968OoqP1l3vzfKxxy5OfXc3U+GmoPNe3V3E0kk1xLPCpkOxCy7VJTONw55xXKy/CTxVNayWEkUXzI/wC/3Eu2638oREY+4G5znoBxmunk+JHimDxCbG6eOK3MxiQNE37xQudySjKbs8bCAapt8apWZZUbbFEzG4yFYhBDJKu0qcZJTBH/AOuvSXL5nQZkvw68Tf2nbW6w7BdSs10EJKC3Ajbbu4Gd6BR6qTXrY8PauefK/UV5+PjJvgFwBKMymIj5MAhQ3387TkHgZ65HaorX4q6yVuHvUkPkyzFvKC4jgik8oO2TySQTgf8A65ai+4mkejjw3q5/5Zgf8CFSr4X1Q9Qo/GvP4/idfXM7W9rHdSMGmHy7eUgcRu456biAB1NO0j4jjXdUfSrWWbcm/DkjDeW2xuhyOemRzStHsxWR6IvhPUD1dB+f+FTL4RuP45lH0BP+FeGw+PfE0sV5ezzlYrb7V8ogmxiBnA/e7whJ28/lWnN8QIoxK9xDc7I/Mw/BDmFgr4GcgDOcntmnaPYLLseyDwrAn+uucfgB/M15l4pbSre6aCOfzPL4AyOvcnFcDqvxPhgRzFEwjaFWWTcp+d5DGFGCRjjOc157F4nS8nHkxyStJtCoMbi7Fwec4I+SuatLS0YkSfZHrOmW+mTTtc3cmdvA5PWvQdI0zw8zC5vR8g5C4JLfX2ryaS8/srwpBrluqeddFUt0n4Te39/HZQCTj0rqbbxhBcxW80FrNJFNFbyNKgG1PtDbEByck7xg46UqVNpXaFGL7Hsi6v4et1CwW3TphQKR/E9mo/c23T1wP6V4r/wmBu5DBpluzyRTRpIhKklHLjja2A2UPBp974qm+VtMtzJCY2d5iRtUiATgAZGSFI3D3rrvPojX3j2U+Lmx+6gX86hbxbeH7sSD8682fWXhsZdSe1l+yo7RpMMbGKSeU3fKgNnlhjAJruNH0SfWNNg1SJ1RJ0DgHkgH3UkH8DReoHvFxvFeon7qoPwrmPEPxA13SZrD7OglW4uDE6IgLFfKd/lyRzlR+FdkvhGX+KYfgKZL4Ftbh4pbiTc0D74zt+6xBXI564JH40JVAtI8ptfi9rO64jv42RvPkjt12hWYoyKIyOfm+cHPp9KZJ8ZdRhtUuLqF4zcKGt1BVjJmTyznaDtweeh49+K9Fn+FelXWo296ZCFt5mudioPmmZdu8nrwO3riq2nfB3wvY2P2KQGUsAGdh8xw28Y/u4PPGOeavlkVZnDxfFzVJrWe88qWNLa2aeQvtGGDMioFxklmXg46GqGlfFrXn06EagfPu/Nlin8oCNVWJPNL7WGceX27mvXI/hh4agh8lIsJ8nGBz5bF1z64Yk/Wpm+Hvhk3p1ORczngyHbk/KU9P7px9KXLILM4/R/GWvapatPOrW5Kq6gsrZV13KeOh9R/OuPPi7xICcXkn5169Y+A/DOj27Q6e3ko3XDDsMDr2A6elcx/wg3hctj+0h0znclePmNHETcfZSt87Hr5bOnDm9qr7dLnp3h2ea50K0uLhi7vECzHqSa2aztItobPTILW2fzY40Cq47gd+K0a92kmoRT3sjz6jTm2gooorQzCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA//1fvCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvG/Hfwwm8X64NWjvUtwI1j2Mm4/L3zuFeyV8mfGuWVPGQVGIH2ePofrXfgYylVtCVnY48ZKKp3mro9L8J/C2Xw487yXyTCUKOExjGf8AaNduPDFuP9Zcc/hXzp8MJZWlvNzE/KnU+5r1zL4zzXTiIVFUalK/yMKE4OCcY/idmug6PFzNPu/4EBVlF8N2xyDHkeuWrguTSVzezb3kb+0S2R6G/iHS4RiMlvZRj+eKz5vFa9IIvxY/4VxlLg4z2oVGIOrI2bnxFqMgJ3iNe+3j9a841TUZ9RuC8jFlHTJz+NT6nf8AnH7PAflHU+v/ANasWuylTUdbHJUqOWlwrCvJvOlwPurwK0b2fyo9q/easQAk4FdcF1OWb6EtvCZpQg6d/pXQqAoCjoKgtLfyk2gZZuuK3rXSLq4YbhsB/P8AKonNFwixNJtDc3IbGQnOPU9hXqWneHJp8S3v7tf7vc/4Vu6FoNno1qqIoMpGXY8nNb1eRWxHM/dPUpULL3ivbWsFpH5VuoUVYoorjOoKKKKACiiigAooooAKwPFf/Iral/16T/8Aotq36wPFf/Iral/16T/+i2qZ/CzSl8cfU+BT0r6usv8Ajzh/65r/ACr5RPSvq6y/484f+ua/yrwsJ1PrMx2iWaKKK7zxwooooAKKKKAMvVrjybbYp+Z+Pw71ydaGp3AuLo7fur8orPrCTuzspxshVUswVeSeBXcW0It4FhH8I/Wua0qASXHmv92Pk59e1b73Esny2i5/224X/wCvVQ7mdV3diae5htk3ynHt3Nc/JJfas22EbYfX/PWtGLTg8nn3LF2B79K1QoUbVGBV2b3M01HYz7PTILQA/fb1NaNFFNK2xDbe4UUUUxBWlpumzajNsThB95vT/wCvTtM0ufUZcL8qD7zf0HvXo1tbQ2kIggGFFawp31Zz1avLotwtraG0hEEAwoqxRRXWee3cKKKKAPJPiL4F8P8Aiy/t7nWNSFi8MZRVLRjcCc5+c1ieDPhh4c0m+e50/VftUrRFWjVo2wNwOfl57Vw37QpA13T8/wDPu3/odU/2fiD4tu8H/lzb/wBGR14sqlN4rkcNb7nI2vaWse1SfCnw3NeNcSvKxdzKYyx8veRgv5edu7HfFVYvgz4TiznzXyuw73Zvl2NGB8xPRWIHpXNX1vqFr4zm1DS7V7m7N47BZYZEdF8ogMtyp8toen7tuecdax4fE/xObT1klabymkjE0vkuJI2MTllUeRkr5gUcIwHTdg5r1+RHVyo9Db4Q+F3tvssjzsuWLEyuWbcACGOcsCABg8cVNJ8JvCsu3cJRtZyQrsobzH8xlYA/MpbnB4rgobTxvrE19putRyRQalbjMkaMCbwWkRUsMfJGGBwR/GMHtVK2svGV5cQavLazCTW2/tKeOQELDJZB2gifP3d58sY4zg0ciDlR6jP8LPCtwEEqyjY8j/LIy585t8gOCMqzckHirWn/AA28MaZeSX1okoeTdwZGKrvO5tqnhcnk4FeHXuveK9Z0GVNXaWd1STCiNw6yvZzq6/6uPgOVA4IBOATXtEnie7e2jitR5QCKCTy3T9KiThHcTsinefD7wHp0coulm2z+YWh8+Xa3m5L/ACbtoySe1cpqnh/w7fqIIbXyolaRl2u4bMhBY5znJIB9q15JJJXLyEsx7nk1bn0y6hs/tU48sNwuepJ9q55TctkZOV9jx++8H6Dczixsrc4jUrkM2cl95YnOchuQeo5r0jwF8OtDtL9NUaHc9tgqxJPzDdjqeSN7Ek+tSW1rHCBFAvJP4kmvYNLshp9klv8AxYyx9z1pUYNyuwgru5Rh8M6JB9jEcAxYBxbgkkJ5gw3BPJx3PSqcXgvw3BHNFFb4Wd1kddzYykpmXAzwA7E4HH4V1VFd5ucTY/D/AMM6ZMl1YwuJItvl75ZGVfLJaMBS2MKWOB2yaq6Z8OPD9noUGi3aeaInllZlLR7nnyJOFI+Ug7QD2A9K9AqC4ure0jMty4RR3JoA5OTwJ4dMksiRSq0zbspNIvlktvJjw3yZYZO3GT1rpNN06y0awj06wXy4YRhQST3ySSeSSeSTXFp4/wBL1ewW90FxNBISFlPAODg4HB61zza9Nqu8faN4RzGyg8Bl4IIHcVhKqloiXNHp9xremWxIklBI7Lz/ACrDuPF0YyLaIn3Y4/QVwAuIDcRWquDJMSI1ByWKjJAHfArfttB1G6XzFUKv95iMcVn7SctiOZvY4Px3rcd/q+lHWoybRBcbgiO43FU25Cg89cVxNt4t8f2L2WlLLMsJ2mES7izo07AK5CscrFt6lSM5Oa920LTdM17Tk1exvUmt3LBXQcEoxVh82OhB7VtXGjeH9Nhe51GfCRqXYswGFHJOBzTSm9x+8fM+iyeJ4JrayinmQ3Un76dk3MAxuGPUY6qvJ9feqf8Aa/iuSeLU9svnAAlAhCyyfY2KhuOhkGPYmvp+WfwTZ2wu7iWIREAhmY4+bGPzzT4dV8IOMwqpG5l5QjJU4OA3PBFHL1bQWPEvBmq6vqllcSaowcKVEbbSp5XLg5ROh6YHtmufPU19H/2v4XCEpEGHOcIK4o+JvAO//kHnHf5F/wAa8PM8PCbjeolue3ldRw5+WLe23zPSvC3/ACLll/1xWt6s7SZrW40yCeyTy4XQFF9B6Vo19DRVqcV5I8yq7zk/MKKKK1MwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP/1vvCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACvkj42/8AI5j/AK94/wCtfW9fJPxsBPjMYH/LvH/WvUyz+N8jz8w/hfMrfC3HnXmf7qfzNVIVJEU0Ym/t/wC3ES53/wCr807s/wAPleV07dO9W/hcD517x/Cn8zXr209cV04xXqs58K7U0eNt4j1rVks9kkkIjFm1wViI/eP5olU5HQELnHSq+meIvFFrYxxQgyTxR7VtHjOWjW38wSl+uS/GPw6817esMzcKhP0FQTsbfh0bd6Ac1yKL7nVzeR4tc+IPEwmjurFjeRwbsz+WUwrRKZTswAxj52jjJ46isjU9Unj1yW80/fdzGdtmQ8coXYQAQMo0J69jz617Hcpqd4dgTYnpkD86hj0SY8yMq/TmtFTS1bMnUb0SPEJrnWtXhiiW4d1DxuZFj24cxuzIRjorBfxPNd9oUrvoNnNcuXc28ZdmGCTtGcj1zXfRaLbr/rCW/SszUjao32W3UDb94+/pW0LXM57HHOs91IXCnHb6V0+keHSwFzdHH90D+dW9NsPtL+bKP3a/qa6vpwKupVfwoiFNbsrwWsFuuIlA9+9dd4b0/wA+4N5IPlj6e7f/AFq5+3ge5nWCPq5wK9Ts7ZLO2S3j6KOvqe5rzq07Kx3UoXdyzRRRXCdgUUUUAFFFFABRRRQAUUUUAFYHiv8A5FbUv+vSf/0W1b9YfieOSbw1qMMKl3a1mVVUZJJQgAAdSamfws0p/GvU+Aj0r6usv+POH/rmv8q+bT4Z8SY/5B91/wB+X/wr6estPv8A7HEDDICEUcqfSvEwsXrofU5hOLUbMZRV8aXqJ6Qv+VTJomqP0hI+uK7+V9jyOZdzKoreTw3qbfeCqPc1N/wj6Rc3lzGnsOf8KfJLsT7SPc5uqOoXP2a2LD7x4Fde8Ph+24Z3nPtwK4PWNZhnuStjCsaJwCfmPucmon7q1ZpT956IwFgmcbgpx6ngUjIqcbgT7f40STzTHMjE1Y0+A3NztAyE5Oelc/kjubsrs37G1S3tlaUZZuT36+1aO3P38YByKUKASw706t0rHE3d3YUUUUxBRRSgEnAoAStvStGm1BhJJ8sQ6n19hWlpXh5nxcX4wvUJ3P1rs1VUUIgwBwAK3hTvqzlq17aRGQwxW8YhhUKq9AKloorpOEKKKKACiiigDyX4ieNvDvhW/t7bWtO+2vLGWVvl+UA4x8wNYfgv4k+GdSvpbfS9L+zShGcuNgyu4fLwPcVnfGfwb4j8S6paXejW/nRwwsrncBglsjqa5r4f/Dnxho2rS3OpWvlo0JUHep53Kex9q8edSsq9ktPQ5ZSnz2S0PXZPipoMd81gyOGVihcg+WHA3Fd+3buA5xmiL4maZdypBaeWWlGY8t98BQ2V9cAivPLj4ZeK7jV5LmKOGFJZmd5VlYeZGyldjw42Fu2/OcD1rOh+C3iZ7dUka1iYRNFwzHaDAkeQQvdk5HHBr0LzZvqelTePTJdJZJPEjyIZE24wVVgpwxyM5I461BPfXlz/AK+Rm+prk5fg3qWoRTS3Qs4JGtJ4oo4txWOaRkKMCVH90kkA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", "The family tree": 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};

The BI Universe - Explore the Lineage of Today's Analytics Founders

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