[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_176":177,"_178":179},"routes/_app.x.$handle.$name",{"_95":94,"_31":43,"_103":85,"_26":104,"_13":14,"_105":-5,"_11":106,"_107":108,"_109":110,"_111":112,"_113":114,"_20":-5,"_115":-5,"_116":-5,"_117":24,"_118":119,"_120":57,"_121":-5,"_122":-5,"_123":124},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_41":42,"_31":43,"_36":44,"_45":-5,"_46":24,"_47":48,"_49":48,"_50":51,"_52":-5,"_18":53,"_54":55,"_56":57,"_58":-5,"_59":-5,"_60":61,"_62":63,"_64":-5,"_65":-5,"_66":-5,"_67":-5,"_68":69,"_70":69,"_71":72,"_73":72,"_74":72,"_75":69,"_76":69,"_77":78,"_79":80,"_81":82,"_83":24},"version",3,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":-7,"_23":24,"_25":24,"_26":27,"_28":27},"file",{"_29":30,"_31":27,"_32":33,"_34":35,"_36":37,"_38":14,"_39":40,"_23":24},"previous","deleted",false,"deletedHere","path","monitor.ts","latestPath","fileId","b66ee77e-670b-11f1-9d73-1607ee4eb77e","name","fileType","interval","content","import { email } from \"https://esm.town/v/std/email\";\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nimport { collectMatches, groupedHtml, type Match, type SourceResult } from \"./boards.ts\";\n\nconst SEEN_KEY = \"lab-monitor:seen:v1\";\nconst CURRENT_KEY = \"lab-monitor:current:v1\";\nconst DASHBOARD = \"https://jnyross--9bbe232c670b11f183681607ee4eb77e.web.val.run\";\nconst MS_AI = \"https://jobs.careers.microsoft.com/global/en/search?lc=London%2C%20England%2C%20United%20Kingdom&p=Product%20Management\";\n\nexport default async function (_interval: Interval) {\n const { matches, sources } = await collectMatches();\n const prev = (await blob.getJSON(SEEN_KEY)) as Record | undefined;\n const firstRun = !prev;\n const seen = prev ?? {};\n const fresh = matches.filter((m) => !seen[m.key]);\n const now = new Date().toISOString();\n for (const m of matches) if (!seen[m.key]) seen[m.key] = { firstSeen: now };\n await blob.setJSON(SEEN_KEY, seen);\n await blob.setJSON(CURRENT_KEY, { updated: now, matches, sources });\n\n const toSend = firstRun ? matches : fresh;\n if (toSend.length === 0) {\n console.log(`No new roles (${matches.length} total tracked).`);\n return;\n }\n const date = new Date().toLocaleDateString(\"en-GB\", { day: \"numeric\", month: \"short\" });\n const subject = `${firstRun ? \"[baseline] \" : \"\"}${toSend.length} frontier-AI product role${toSend.length > 1 ? \"s\" : \"\"} — ${date}`;\n await email({ subject, html: render(toSend, sources, firstRun) });\n console.log(`Emailed ${toSend.length} role(s).`);\n}\n\nfunction render(jobs: Match[], sources: SourceResult[], firstRun: boolean): string {\n const src = sources.map((s) => `${s.ok ? \"✓\" : \"✗\"} ${s.source}${s.ok ? \":\" + s.count : \" FAILED\"}`).join(\" · \");\n const intro = firstRun\n ? \"Baseline of everything matching right now. From the next run you'll only get new roles.\"\n : \"New role(s) since the last check.\";\n return `

Frontier-lab product radar

${intro}

\n${groupedHtml(jobs)}\n

Sources: ${src}
Microsoft AI checked manually — search Microsoft UK product roles.
Live dashboard: ${DASHBOARD}

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No matching roles right now. The monitor runs daily; you'll get an email when a new one appears.

\";\n const html = `Frontier-lab product radar

Frontier-lab product radar

Last updated: ${esc(updated)} · ${matches.length} live match(es). Priority: leadership → your lane (safety/governance) → other London/EU product.
Sources: ${esc(srcLine || \"—\")}
Microsoft AI is checked manually — search Microsoft UK product roles.

${body}`;\n return new Response(html, { headers: { \"content-type\": \"text/html; charset=utf-8\" } });\n}\n",[135],"0118b29d-ec79-463e-9d6b-d5fd960399da","boards.ts","899d8e08-670b-11f1-b06d-1607ee4eb77e",1,["D",1781343467619],"script","// Shared library: fetch + classify product-role postings across frontier-AI labs\n// and adjacent employers. No secrets; all endpoints are public job boards.\n\nconst UA = \"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) frontier-lab-radar\";\n\nexport type RawJob = { id: string; title: string; dept: string; location: string; url: string; publishedAt?: string };\nexport type Match = RawJob & {\n source: string; company: string; key: string;\n isLondon: boolean; isLeadership: boolean; isDomain: boolean; priority: \"P1\" | \"P2\" | \"P3\";\n};\nexport type SourceResult = { source: string; ok: boolean; count: number; error?: string };\n\nconst CORE = new Set([\"Anthropic\", \"OpenAI\", \"Google DeepMind\"]);\n\nfunction isProductRole(title: string, dept: string): boolean {\n const t = title.toLowerCase();\n if (/product (marketing|design|designer|counsel|support|specialist|analyst)/.test(t)) return false;\n if (dept && /product management/i.test(dept)) return true;\n return /\\bproduct\\b/.test(t) && /(manager|management|\\blead\\b|director|owner|head|\\bvp\\b|chief|gpm)/.test(t);\n}\nconst isLondon = (l: string) => /london|united kingdom|\\buk\\b|england/i.test(l);\nconst isEU = (l: string) =>\n /london|united kingdom|\\buk\\b|england|paris|france|dublin|ireland|berlin|munich|germany|amsterdam|netherlands|madrid|barcelona|spain|zurich|switzerland|stockholm|sweden|lisbon|portugal|warsaw|poland|\\bemea\\b|europe/i.test(l) ||\n /remote/i.test(l);\nconst isLeadership = (t: string) =>\n /(group product|head of product|product director|director,?\\s*product|director of product|\\bvp\\b|vice president|chief product|principal product|product lead\\b|lead product manager)/i.test(t) ||\n (/\\bdirector\\b/i.test(t) && /\\bproduct\\b/i.test(t));\nconst isDomain = (t: string) =>\n /(safeguard|integrity|trust|safety|responsib|governance|privacy|policy|\\brisk\\b|abuse|compliance|frontier|assurance|security|enforcement)/i.test(t);\n\nfunction classify(company: string, source: string, j: RawJob): Match | null {\n if (!isProductRole(j.title, j.dept)) return null;\n const london = isLondon(j.location);\n const lead = isLeadership(j.title);\n const geoOk = CORE.has(company) ? london : isEU(j.location);\n if (!(geoOk || lead)) return null;\n const dom = isDomain(j.title);\n return {\n ...j, source, company, key: `${source}:${j.id}`,\n isLondon: london, isLeadership: lead, isDomain: dom,\n priority: lead ? \"P1\" : dom ? \"P2\" : \"P3\",\n };\n}\n\nasync function gh(token: string): Promise {\n const r = await fetch(`https://boards-api.greenhouse.io/v1/boards/${token}/jobs`, { headers: { \"User-Agent\": UA } });\n if (!r.ok) throw new Error(`HTTP ${r.status}`);\n const j = await r.json();\n return (j.jobs ?? []).map((x: any) => ({ id: String(x.id), title: x.title ?? \"\", dept: \"\", location: x.location?.name ?? \"\", url: x.absolute_url ?? \"\", publishedAt: x.updated_at }));\n}\nasync function ashby(token: string): Promise {\n const r = await fetch(`https://api.ashbyhq.com/posting-api/job-board/${token}`, { headers: { \"User-Agent\": UA, Accept: \"application/json\" } });\n if (!r.ok) throw new Error(`HTTP ${r.status}`);\n const j = await r.json();\n return (j.jobs ?? []).map((x: any) => {\n const locs = [x.location, ...(x.secondaryLocations ?? []).map((s: any) => s?.name ?? s?.location ?? \"\")].filter(Boolean).join(\" | \");\n return { id: String(x.id), title: x.title ?? \"\", dept: x.department ?? x.team ?? \"\", location: locs, url: x.jobUrl ?? x.applyUrl ?? \"\", publishedAt: x.publishedAt };\n });\n}\nasync function lever(token: string): Promise {\n const r = await fetch(`https://api.lever.co/v0/postings/${token}?mode=json`, { headers: { \"User-Agent\": UA } });\n if (!r.ok) throw new Error(`HTTP ${r.status}`);\n const arr = await r.json();\n return (arr ?? []).map((x: any) => ({ id: String(x.id), title: x.text ?? \"\", dept: x.categories?.team ?? \"\", location: (x.categories?.allLocations ?? [x.categories?.location]).filter(Boolean).join(\", \"), url: x.hostedUrl ?? \"\", publishedAt: x.createdAt ? new Date(x.createdAt).toISOString() : undefined }));\n}\nasync function googleDeepmind(): Promise {\n const r = await fetch(\"https://www.google.com/about/careers/applications/jobs/results?company=DeepMind&location=London%2C%20UK&q=product\", { headers: { \"User-Agent\": UA } });\n if (!r.ok) throw new Error(`HTTP ${r.status}`);\n const html = await r.text();\n const re = /jobs\\/results\\/(\\d+)-([a-z0-9-]+)/g;\n const seen = new Set(); const out: RawJob[] = []; let m: RegExpExecArray | null;\n while ((m = re.exec(html))) {\n const id = m[1], slug = m[2]; if (seen.has(id)) continue; seen.add(id);\n const title = slug.replace(/-deepmind.*$/, \"\").replace(/-/g, \" \").replace(/\\b\\w/g, (c) => c.toUpperCase());\n out.push({ id, title, dept: \"\", location: \"London, UK\", url: `https://www.google.com/about/careers/applications/jobs/results/${id}-${slug}` });\n }\n return out;\n}\n\nconst SOURCES: { source: string; company: string; fn: () => Promise }[] = [\n { source: \"anthropic-gh\", company: \"Anthropic\", fn: () => gh(\"anthropic\") },\n { source: \"openai-ashby\", company: \"OpenAI\", fn: () => ashby(\"openai\") },\n { source: \"deepmind-gh\", company: \"Google DeepMind\", fn: () => gh(\"deepmind\") },\n { source: \"deepmind-google\", company: \"Google DeepMind\", fn: googleDeepmind },\n { source: \"mistral-lever\", company: \"Mistral\", fn: () => lever(\"mistral\") },\n { source: \"cohere-ashby\", company: \"Cohere\", fn: () => ashby(\"cohere\") },\n { source: \"isomorphic-gh\", company: \"Isomorphic Labs\", fn: () => gh(\"isomorphiclabs\") },\n];\n\nexport async function collectMatches(): Promise<{ matches: Match[]; sources: SourceResult[] }> {\n const sources: SourceResult[] = [];\n const matches: Match[] = [];\n const keys = new Set();\n await Promise.all(SOURCES.map(async (s) => {\n try {\n const raw = await s.fn();\n let n = 0;\n for (const j of raw) {\n const m = classify(s.company, s.source, j);\n if (m && !keys.has(m.key)) { keys.add(m.key); matches.push(m); n++; }\n }\n sources.push({ source: s.source, ok: true, count: n });\n } catch (e) {\n sources.push({ source: s.source, ok: false, count: 0, error: String((e as Error)?.message ?? e) });\n }\n }));\n const ord: Record = { P1: 0, P2: 1, P3: 2 };\n matches.sort((a, b) => ord[a.priority] - ord[b.priority] || a.company.localeCompare(b.company) || a.title.localeCompare(b.title));\n return { matches, sources };\n}\n\nexport function esc(s: string): string {\n return s.replace(/[&<>\"]/g, (c) => ({ \"&\": \"&\", \"<\": \"<\", \">\": \">\", '\"': \""\" }[c] as string));\n}\n\nexport function groupedHtml(jobs: Match[]): string {\n const groups: { p: \"P1\" | \"P2\" | \"P3\"; label: string }[] = [\n { p: \"P1\", label: \"Leadership — Group PM / Director / Head / VP\" },\n { p: \"P2\", label: \"Your lane — safety / governance / risk / privacy\" },\n { p: \"P3\", label: \"Other London / EU product\" },\n ];\n return groups.map((g) => {\n const items = jobs.filter((j) => j.priority === g.p);\n if (!items.length) return \"\";\n const rows = items.map((j) => `${esc(j.title)}${esc(j.company)}${esc(j.location || \"—\")}`).join(\"\");\n return `

${g.label} (${items.length})

${rows}

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Diff · v3