\n {backLink && (\n \n ← Back to all runs\n \n )}\n

{title}

{subtitle}

\n );\n}\n\nfunction StatCard({ title, value }: { title: string; value: string }) {\n return (\n

\n {title}\n

{value}

\n );\n}\n\nfunction NewsItem({ item, index }: { item: any; index: number }) {\n return (\n

0 ? \"border-t border-gray-200\" : \"\"}`}>\n

\n {item.headline}\n

{item.summary}

\n \n {item.url}\n \n {item.companies && item.companies.length > 0 && (\n

\n {item.companies.map((company: string) => (\n \n {company}\n \n ))}\n

\n )}\n

\n );\n}\n\nfunction RunItem({ run }: { run: any }) {\n return (\n

\n {new Date(run.timestamp).toLocaleString()}\n

Run ID: {run.timestamp}

\n \n View Details\n \n

\n );\n}\n\n// List all runs\napp.get(\"/\", async (c) => {\n const allBlobs = await blob.list(\"newsletter-runs/\");\n const runs = allBlobs\n .map((b) => ({\n key: b.key,\n timestamp: b.key.replace(\"newsletter-runs/\", \"\"),\n lastModified: b.lastModified,\n }))\n .sort((a, b) =>\n new Date(b.timestamp).getTime() - new Date(a.timestamp).getTime()\n );\n\n const val = parseVal();\n\n return c.html(\n \n

\n \n\n

\n Run History\n

\n\n \n Want to trigger a run now?\n \n

\n {runs.length === 0\n ? (\n

\n No newsletter runs yet. The bot will run daily at 7am ET.\n

\n )\n : (\n runs.map((run) => )\n )}\n

\n ,\n );\n});\n\n// View specific run details\napp.get(\"/run/:runId\", async (c) => {\n const runId = c.req.param(\"runId\");\n\n const runData = await blob.getJSON(`newsletter-runs/${runId}`);\n\n if (!runData) {\n return c.html(\n \n

Run Not Found

\n The requested newsletter run could not be found.\n

\n \n ← Back to dashboard\n \n

\n ,\n 404,\n );\n }\n\n const newsItems = JSON.parse(runData.finalOutput);\n\n return c.html(\n \n

\n \n\n

\n News Items ({newsItems.length} stories)\n

\n {newsItems.map((item: any, idx: number) => (\n \n ))}\n

\n\n

\n Full Agent Response\n

\n              {JSON.stringify(runData.fullResult, null, 2)}\n

\n ,\n );\n});\n\nexport default app.fetch;",[],[188],{"_104":196,"_96":197,"_158":198,"_160":-5,"_161":144,"_162":199,"_164":120,"_106":200,"_101":201,"_167":202,"_169":203,"_171":22,"_172":-5,"_173":204,"_99":205},"cca6c192-c6f2-11f0-8cff-42dde27851f2","main.ts","aafc887a-c58e-11f0-a48a-42dde27851f2",94,["D",1763740656627],28,"interval","import { Agent, run, webSearchTool } from \"npm:@openai/agents@0.3.0\";\nimport { email } from \"https://esm.town/v/std/email?v=11\";\nimport { blob } from \"https://esm.town/v/std/blob\";\nimport { generateNewsletterHTML } from \"./newsletter-template.tsx\";\nimport { readFile } from \"https://esm.town/v/std/utils/index.ts\";\n\nconst PROMPT = await readFile(\"/PROMPT.txt\");\nconst agent = new Agent({\n name: \"researcher\",\n model: \"gpt-5.1-2025-11-13\",\n tools: [webSearchTool()],\n modelSettings: {\n temperature: 0.5,\n },\n});\n\nexport default async function sendNewsletter() {\n const runId = new Date().toISOString();\n\n console.log(`[Newsletter Bot ${runId}] Starting research...`);\n\n const result = await run(agent, PROMPT);\n\n console.log(`[Newsletter Bot ${runId}] Research complete`);\n\n // Store full result in blob storage for debugging\n await blob.setJSON(`newsletter-runs/${runId}`, {\n timestamp: runId,\n fullResult: result,\n finalOutput: result.finalOutput,\n });\n\n const newsItems = JSON.parse(result.finalOutput);\n if (!Array.isArray(newsItems) || newsItems.length === 0) {\n throw new Error(\"No news items found\");\n }\n\n await email({\n subject: `Daily Research Report from Val Town`,\n html: generateNewsletterHTML(newsItems),\n // By default, the email will be sent to the owner of the val\n // If you have Val Town Pro, you can specify who to send it to, like so:\n // to: [ \"me@example.com\", \"friend@example.com\"]\n });\n}",[],[197],{"_104":207,"_96":208,"_158":209,"_160":-5,"_161":144,"_162":210,"_164":120,"_106":211,"_101":212,"_167":213,"_169":214,"_171":22,"_172":-5,"_173":215,"_99":216},"c3b78314-c6f2-11f0-b7b9-42dde27851f2","newsletter-template.tsx","01f8ed74-c591-11f0-8519-42dde27851f2",93,["D",1763740641617],3,"script","/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport { renderToStaticMarkup } from \"npm:react-dom@18.2.0/server\";\n\ninterface NewsItem {\n headline: string;\n summary: string;\n url: string;\n companies?: string[];\n}\n\nfunction NewsletterTemplate(\n { newsItems, date }: { newsItems: NewsItem[]; date: string },\n) {\n return (\n \n \n \n \n Daily Research Report\n \n \n \n \n \n \n {/* Header */}\n \n \n \n Daily Research Report\n \n \n {date}\n

\n \n \n\n {/* Content */}\n \n \n \n Your daily curated digest.\n

\n\n {newsItems.map((item, index) => (\n \n \n \n {item.headline}\n \n \n \n {item.summary}\n

\n {item.companies && item.companies.length > 0 && (\n

\n {item.companies.map((company, idx) => (\n \n {company}\n \n ))}\n

\n )}\n \n Read more →\n \n \n ))}\n \n \n\n {/* Footer */}\n \n \n \n This newsletter is powered by AI-driven research and\n analysis.\n

\n \n \n \n \n \n \n \n \n );\n}\n\nexport function generateNewsletterHTML(newsItems: NewsItem[]): string {\n const date = new Date().toLocaleDateString(\"en-US\", {\n weekday: \"long\",\n year: \"numeric\",\n month: \"long\",\n day: \"numeric\",\n });\n\n const html = renderToStaticMarkup(\n ,\n );\n\n return `\\n${html}`;\n}",[],[208],"files",[156,176,186,195,206],"counts",{"_221":32,"_222":223,"_224":225,"_226":227},"pulls","branches",1,"forks",5,"envVars",{"_228":223,"_229":32},"count","emptyCount","contents",[],{"_104":157,"_96":100,"_158":159,"_160":-5,"_161":144,"_162":163,"_164":120,"_106":233,"_101":166,"_167":168,"_169":170,"_171":22,"_172":-5,"_99":234},["D",1763738269840],[100],"upstreamProject","upstreamBranch","emptyEnvVars","isNew","flags",[],"routes/_app.x.$handle.$name.branch.$branch.history_.$",{"_94":95,"_96":97,"_98":44,"_99":100,"_102":243,"_168":248,"_251":252,"_285":286,"_295":-7,"_296":32,"_297":22},{"_104":105,"_96":97,"_106":244,"_108":-5,"_109":22,"_110":111,"_112":113,"_114":115,"_14":116,"_117":118,"_119":120,"_121":120,"_122":-5,"_123":124,"_16":125,"_126":127,"_128":127,"_129":130,"_131":130,"_132":130,"_133":127,"_134":127,"_23":245,"_138":246,"_141":247,"_153":22},["D",1763587699293],{"_94":95,"_136":137},{"_94":95,"_140":137,"_14":116},{"_101":143,"_96":44,"_104":144,"_145":105,"_146":-5,"_147":-5,"_148":-5,"_149":-5,"_150":-5,"_151":97,"_152":95},{"_104":157,"_96":100,"_158":159,"_160":-5,"_161":144,"_162":163,"_164":120,"_106":249,"_101":166,"_167":168,"_169":170,"_171":22,"_172":-5,"_99":250},["D",1763738269840],[100],"history",[253,255,260,266,271,276,281],{"_104":157,"_161":144,"_158":159,"_96":100,"_169":170,"_167":168,"_101":166,"_160":-5,"_106":254,"_162":163,"_172":-5},["D",1763738269840],{"_104":256,"_161":144,"_158":159,"_96":100,"_169":257,"_167":168,"_101":225,"_160":-5,"_106":258,"_162":259,"_172":-5},"fbe0ffb4-c593-11f0-913e-42dde27851f2","You are a professional enterprise technology research analyst creating a daily newsletter.\n\nYour task:\n1. Search for the top 15 most important and recent news items from the last 24 hours about the enterprise technology landscape\n2. Focus on:\n - Hot startups making announcements\n - Established companies: Salesforce, ServiceNow, SAP, Microsoft, Amazon, Google (but not limited to these)\n - Cloud computing news\n - Developer tools and platforms\n - AI/ML enterprise applications\n - Other significant enterprise tech news\n\n3. Use diverse sources including (but not limited to):\n - Techmeme\n - TechCrunch\n - CNBC\n - The Verge\n - VentureBeat\n - Fortune\n - Bloomberg\n - Runtime news\n - The New Stack\n\n4. Prioritize the most recent stories, but you can include stories from the past 48 hours if they are significant\n\n5. For each item, provide:\n - Headline\n - Brief summary (2-3 sentences)\n - URL to original source\n - Company/companies mentioned\n\nCRITICAL: Return ONLY valid JSON, no other text. Use this exact structure:\n[\n {\n \"headline\": \"...\",\n \"summary\": \"...\",\n \"url\": \"...\",\n \"companies\": [\"...\"],\n }\n]",["D",1763589982502],26,{"_104":261,"_161":144,"_158":159,"_96":100,"_169":262,"_167":168,"_101":263,"_160":-5,"_106":264,"_162":265,"_172":-5},"f8f27a30-c593-11f0-8510-42dde27851f2","You are a professional enterprise technology research analyst creating a daily newsletter.\n\nYour task:\n1. Search for the top 15 most important and recent news items from the last 24 hours about the enterprise technology landscape\n2. Focus on:\n - Hot startups making announcements\n - Established companies: Salesforce, ServiceNow, SAP, Microsoft, Amazon, Google (but not limited to these)\n - Cloud computing news\n - Developer tools and platforms\n - AI/ML enterprise applications\n - Other significant enterprise tech news\n\n3. Use diverse sources including (but not limited to):\n - Techmeme\n - TechCrunch\n - CNBC\n - The Verge\n - VentureBeat\n - Fortune\n - Bloomberg\n - Runtime news\n - The New Stack\n\n4. Prioritize the most recent stories, but you can include stories from the past 48 hours if they are significant\n\n5. For each item, provide:\n - Headline\n - Brief summary (2-3 sentences)\n - URL to original source\n - Company/companies mentioned\n - Image URL if available\n\nCRITICAL: Return ONLY valid JSON, no other text. Use this exact structure:\n[\n {\n \"headline\": \"...\",\n \"summary\": \"...\",\n \"url\": \"...\",\n \"companies\": [\"...\"],\n \"imageUrl\": \"...\" (optional, omit if not available)\n }\n]",4,["D",1763589977588],25,{"_104":267,"_161":144,"_158":159,"_96":100,"_169":268,"_167":168,"_101":212,"_160":-5,"_106":269,"_162":270,"_172":-5},"c78c41e2-c593-11f0-aa17-42dde27851f2","You are a professional enterprise technology research analyst creating a daily newsletter.\n\nYour task:\n1. Search for the top 15 most important and recent news items from the LAST 1-2 DAYS about the enterprise technology landscape\n2. Focus on:\n - Hot startups making announcements\n - Established companies: Salesforce, ServiceNow, SAP, Microsoft, Amazon, Google (but not limited to these)\n - Cloud computing news\n - Developer tools and platforms\n - AI/ML enterprise applications\n - Other significant enterprise tech news\n\n3. Use diverse sources including (but not limited to):\n - Techmeme\n - TechCrunch\n - CNBC\n - The Verge\n - VentureBeat\n - Fortune\n - Bloomberg\n - Runtime news\n - The New Stack\n\n4. Prioritize the most recent stories, but you can include stories from the past 48 hours if they are significant\n\n5. For each item, provide:\n - Headline\n - Brief summary (2-3 sentences)\n - URL to original source\n - Company/companies mentioned\n - Image URL if available\n\nCRITICAL: Return ONLY valid JSON, no other text. Use this exact structure:\n[\n {\n \"headline\": \"...\",\n \"summary\": \"...\",\n \"url\": \"...\",\n \"companies\": [\"...\"],\n \"imageUrl\": \"...\" (optional, omit if not available)\n }\n]",["D",1763589894713],24,{"_104":272,"_161":144,"_158":159,"_96":100,"_169":273,"_167":168,"_101":124,"_160":-5,"_106":274,"_162":275,"_172":-5},"a70a3fc4-c592-11f0-a0e3-42dde27851f2","You are a professional enterprise technology research analyst creating a daily newsletter.\n\nYour task:\n1. Search for the top 15 most important and recent news items from the LAST 24 HOURS ONLY about the enterprise technology landscape\n2. Focus on:\n - Hot startups making announcements\n - Established companies: Salesforce, ServiceNow, SAP, Microsoft, Amazon, Google (but not limited to these)\n - Cloud computing news\n - Developer tools and platforms\n - AI/ML enterprise applications\n - Other significant enterprise tech news\n\n3. Use diverse sources including (but not limited to):\n - Techmeme\n - TechCrunch\n - CNBC\n - The Verge\n - VentureBeat\n - Fortune\n - Bloomberg\n - Runtime news\n - The New Stack\n\n4. IMPORTANT: Skip any story that is over 24 hours old\n\n5. For each item, provide:\n - Headline\n - Brief summary (2-3 sentences)\n - URL to original source\n - Company/companies mentioned\n\nCRITICAL: Return ONLY valid JSON, no other text. Use this exact structure:\n[\n {\n \"headline\": \"...\",\n \"summary\": \"...\",\n \"url\": \"...\",\n \"companies\": [\"...\"],\n }\n]",["D",1763589410667],22,{"_104":277,"_161":144,"_158":159,"_96":100,"_169":278,"_167":168,"_101":223,"_160":-5,"_106":279,"_162":280,"_172":-5},"a4293486-c592-11f0-932a-42dde27851f2","You are a professional enterprise technology research analyst creating a daily newsletter.\n\nYour task:\n1. Search for the top 15 most important and recent news items from the LAST 24 HOURS ONLY about the enterprise technology landscape\n2. Focus on:\n - Hot startups making announcements\n - Established companies: Salesforce, ServiceNow, SAP, Microsoft, Amazon, Google (but not limited to these)\n - Cloud computing news\n - Developer tools and platforms\n - AI/ML enterprise applications\n - Other significant enterprise tech news\n\n3. Use diverse sources including (but not limited to):\n - Techmeme\n - TechCrunch\n - CNBC\n - The Verge\n - VentureBeat\n - Fortune\n - Bloomberg\n - Runtime news\n - The New Stack\n\n4. IMPORTANT: Skip any story that is over 24 hours old\n\n5. For each item, provide:\n - Headline\n - Brief summary (2-3 sentences)\n - URL to original source\n - Company/companies mentioned\n - Image URL if available\n\nCRITICAL: Return ONLY valid JSON, no other text. Use this exact structure:\n[\n {\n \"headline\": \"...\",\n \"summary\": \"...\",\n \"url\": \"...\",\n \"companies\": [\"...\"],\n }\n]",["D",1763589405839],21,{"_104":282,"_161":144,"_158":159,"_96":100,"_169":283,"_167":168,"_101":32,"_160":-5,"_106":284,"_162":225,"_172":-5},"f3156bac-c590-11f0-a184-42dde27851f2","You are a professional enterprise technology research analyst creating a daily newsletter.\n\nYour task:\n1. Search for the top 15 most important and recent news items from the LAST 24 HOURS ONLY about the enterprise technology landscape\n2. Focus on:\n - Hot startups making announcements\n - Established companies: Salesforce, ServiceNow, SAP, Microsoft, Amazon, Google (but not limited to these)\n - Cloud computing news\n - Developer tools and platforms\n - AI/ML enterprise applications\n - Other significant enterprise tech news\n\n3. Use diverse sources including (but not limited to):\n - Techmeme\n - TechCrunch\n - CNBC\n - The Verge\n - VentureBeat\n - Fortune\n - Bloomberg\n - Runtime news\n - The New Stack\n\n4. IMPORTANT: Skip any story that is over 24 hours old\n\n5. For each item, provide:\n - Headline\n - Brief summary (2-3 sentences)\n - URL to original source\n - Company/companies mentioned\n - Image URL if available\n\nCRITICAL: Return ONLY valid JSON, no other text. Use this exact structure:\n[\n {\n \"headline\": \"...\",\n \"summary\": \"...\",\n \"url\": \"...\",\n \"companies\": [\"...\"],\n \"imageUrl\": \"...\" (optional, omit if not available)\n }\n]",["D",1763588679259],"versions",[287,289,290,291,292,293,294],{"_168":253,"_288":255},"previous",{"_168":255,"_288":260},{"_168":260,"_288":266},{"_168":266,"_288":271},{"_168":271,"_288":276},{"_168":276,"_288":281},{"_168":281,"_288":-5},"versionNumber","page","hasNext","actionData","errors"]

stevekrouse

research-newsletter-bot

History for PROMPT.txt