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\n \n\n

\n \n 0\n ? new Date(runs[0].timestamp).toLocaleDateString()\n : \"Never\"}\n />\n \n

\n\n

\n Run History\n

\n \n \n Run now\n \n \n

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

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

\n ,\n );\n});\n\n// Manual run trigger\napp.post(\"/run-now\", async (c) => {\n const runId = new Date().toISOString();\n\n throw new Error(\"disabled so folks don't abuse this\");\n // Run the newsletter agent\n // await sendNewsletter();\n\n // Redirect to the new run's detail page\n return c.redirect(`/run/${runId}`);\n});\n\n// View specific run details\napp.get(\"/run/:runId\", async (c) => {\n const runId = c.req.param(\"runId\");\n\n const runData = await blob.getJSON(`newsletter-runs/${runId}`);\n\n if (!runData) {\n return c.html(\n \n

Run Not Found

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

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\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;","/** @jsxImportSource npm:hono@4/jsx */\nimport { Hono } from \"npm:hono@4\";\nimport { blob } from \"https://esm.town/v/std/blob\";\nimport sendNewsletter from \"./main.ts\";\n\nconst app = new Hono();\n\nfunction Layout({ children, title }: { children: any; title: string }) {\n return (\n \n \n \n \n {title}\n \n \n \n {children}\n \n \n );\n}\n\nfunction Header(\n { title, subtitle, backLink }: {\n title: string;\n subtitle: string;\n backLink?: string;\n },\n) {\n return (\n

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\n {title}\n

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\n {item.headline}\n

{item.summary}

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

Run ID: {run.timestamp}

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\n \n 0\n ? new Date(runs[0].timestamp).toLocaleDateString()\n : \"Never\"}\n />\n \n

\n\n

\n Run History\n

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

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

\n ,\n );\n});\n\n// Manual run trigger\napp.post(\"/run-now\", async (c) => {\n const runId = new Date().toISOString();\n\n return c.json(\"disabled so folks don't abuse this\");\n // Run the newsletter agent\n // await sendNewsletter();\n\n // Redirect to the new run's detail page\n return c.redirect(`/run/${runId}`);\n});\n\n// View specific run details\napp.get(\"/run/:runId\", async (c) => {\n const runId = c.req.param(\"runId\");\n\n const runData = await blob.getJSON(`newsletter-runs/${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

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\n \n \n\n {/* Content */}\n \n \n \n Your daily curated digest of the most important enterprise\n technology news from the last 24 hours.\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 © {new Date().getFullYear()}{\" \"}\n Enterprise Tech Brief. All rights reserved.\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}","label",[133],"671ce6ce-c591-11f0-9656-42dde27851f2","main.ts","aafc887a-c58e-11f0-a48a-42dde27851f2",14,["D",1763588873926],10,"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\");\n\nexport default async function sendNewsletter() {\n const runId = new Date().toISOString();\n console.log(`[Newsletter Bot ${runId}] Starting research...`);\n\n const agent = new Agent({\n name: \"enterprise-tech-researcher\",\n model: \"gpt-5.1-2025-11-13\",\n instructions: PROMPT,\n tools: [webSearchTool()],\n });\n\n // Run the agent to gather news\n const result = await run(\n agent,\n `Research and find the top 15 most important enterprise technology news stories from the LAST 24 HOURS. \n Return ONLY valid JSON with no other text.`,\n );\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 // Parse the JSON response\n const newsItems = JSON.parse(result.finalOutput);\n\n if (!Array.isArray(newsItems) || newsItems.length === 0) {\n throw new Error(\"No news items found\");\n }\n\n console.log(`[Newsletter Bot ${runId}] Found ${newsItems.length} news items`);\n\n // Generate HTML newsletter\n const htmlContent = generateNewsletterHTML(newsItems);\n\n // Send email\n console.log(`[Newsletter Bot ${runId}] Sending email...`);\n await email({\n subject: `Enterprise Tech Daily Brief - ${\n new Date().toLocaleDateString(\"en-US\", {\n month: \"long\",\n day: \"numeric\",\n year: \"numeric\",\n })\n }`,\n html: htmlContent,\n });\n\n console.log(`[Newsletter Bot ${runId}] Newsletter sent successfully!`);\n}",[145],"610e07b4-c59a-11f0-9ff0-42dde27851f2",["D",1763592729158],22,[28],"96805a1c-c592-11f0-860a-42dde27851f2","README.md","96805af8-c592-11f0-860a-42dde27851f2",19,["D",1763589382930],0,"# research-newsletter-bot\n\nAutomated daily newsletter that scrapes enterprise tech news and emails a formatted digest.\n\n## Files\n\n- [main.ts](./main.ts) - Interval job that kicks off the OpenAI agent, parses results, generates HTML, and sends the email\n- [PROMPT.txt](./PROMPT.txt) - System prompt instructing the agent to find 15 recent enterprise tech stories and return JSON\n- [newsletter-template.tsx](./newsletter-template.tsx) - React component that renders news items into an HTML email template\n- [dashboard.tsx](./dashboard.tsx) - Web UI for viewing past newsletter runs stored in blob storage\n",[158],"fbe0ffb4-c593-11f0-913e-42dde27851f2","PROMPT.txt","f3156c60-c590-11f0-a184-42dde27851f2",26,["D",1763589982502],5,"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. 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Diff · v43