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\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

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

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

\n\n

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\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 { parseVal } from \"https://esm.town/v/stevekrouse/utils/index.ts\";\n\nconst app = new Hono();\napp.onError((err) => Promise.reject(err));\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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{title}

{subtitle}

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

\n {title}\n

{value}

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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

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

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

Run ID: {run.timestamp}

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\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

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

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\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.\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}","label",[145],"9d74d6f8-c70a-11f0-8160-42dde27851f2","main.ts","019aa7be-b7f6-726d-b4a2-0725fdb5c5b0",["D",1763750885327],"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}",[155],"a7be075e-c865-11f0-b2c0-42dde27851f2",["D",1763899937989],[28],"9d74c5aa-c70a-11f0-8160-42dde27851f2","README.md","019aa7be-b7f6-726d-b4a1-fc4fd8519390",["D",1763750885327],"# Research Newsletter Bot\n\nThis bot delivers a daily, personalized briefing of the most important news for\nyou and anyone you choose to include. It runs automatically, sends a clean email\nsummary, and gives you a simple dashboard to review past updates.\n\n## Getting started\n\n1. Click **Remix**\n2. Set `OPENAI_API_KEY` in this val's environment variables\n3. Done! You will get an email tomorrow morning.\n\nReady to test it instantly? Open [shell.ts](./shell.ts) and click **Run**. After\na couple minutes, you will receive the email and see the results on your\ndashboard. Check this val’s logs in the left sidebar if something looks off.\n\n## Customizing\n\nYou can tailor it in a few quick ways:\n\n- **Schedule the run time**\\\n The default schedule in [main.ts](./main.ts) runs at 12am UTC (7am ET). Open\n the **Cron** editor above the file to adjust it.\n\n- **Customize what the bot collects**\\\n The prompt in [PROMPT.txt](./PROMPT.txt) asks for 15 enterprise tech stories.\n Change the wording to focus on different topics, formats, or story counts.\n\n- **Choose who gets the newsletter**\\\n By default, [main.ts](./main.ts) emails the val’s owner. If you use\n [Val Town Pro](https://www.val.town/pricing), you can add more recipients.\n\n## Files\n\n- **[PROMPT.txt](./PROMPT.txt)** - Defines how the agent selects news and how\n the response should be formatted.\n- **[dashboard.tsx](./dashboard.tsx)** – Displays previous newsletter runs from\n blob storage in a simple web UI.\n- **[main.ts](./main.ts)** – The scheduled job that calls the OpenAI agent,\n processes the results, renders the email, and sends it.\n- **[newsletter-template.tsx](./newsletter-template.tsx)** – React component\n that turns news items into a polished HTML email.\n- **[shell.ts](./shell.ts)** – Lets you manually run the newsletter on demand.",[165],"9d74bb50-c70a-11f0-8160-42dde27851f2","PROMPT.txt","019aa7be-b7f6-726d-b4a1-fb52c519d8c5",["D",1763750885327],"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.\n\nYour entire response must be a JSON array of exactly 15 objects. If you find fewer than 15 stories from the last 24 hours, add important stories from the previous 24 hours until you have 15.\n\nUse this exact object shape for each of the 15 items:\n{\n \"headline\": \"...\",\n \"summary\": \"...\",\n \"url\": \"...\",\n \"companies\": [\"...\"]\n}\n\nUse as many web_search calls as needed until you have 15 distinct stories. Do not stop after the first story.",[171],"pulls","branches","forks","envVars",{"_183":90,"_185":61},"connections",{"_183":61,"_184":61},"count","unfilledCount","emptyCount",{"_43":170,"_32":171,"_30":172,"_147":-5,"_41":42,"_40":90,"_148":57,"_38":204,"_13":61,"_33":20,"_35":174,"_24":25,"_152":-5,"_192":205,"_27":206},{"_43":164,"_32":165,"_30":166,"_147":-5,"_41":42,"_40":90,"_148":25,"_38":201,"_13":61,"_33":20,"_35":168,"_24":25,"_152":-5,"_192":202,"_27":203},{"_43":161,"_32":28,"_30":31,"_147":-5,"_41":42,"_40":14,"_148":57,"_38":198,"_13":90,"_33":34,"_35":37,"_24":25,"_152":-5,"_192":199,"_27":200},{"_43":154,"_32":155,"_30":156,"_147":-5,"_41":42,"_40":90,"_148":57,"_38":195,"_13":61,"_33":158,"_35":159,"_24":25,"_152":-5,"_192":196,"_27":197},{"_43":144,"_32":145,"_30":146,"_147":-5,"_41":42,"_40":90,"_148":57,"_38":191,"_13":61,"_33":150,"_35":151,"_24":25,"_152":-5,"_192":193,"_27":194},["D",1763750885327],"children",[],[145],["D",1763750885327],[],[155],["D",1763899937989],[],[28],["D",1763750885327],[],[165],["D",1763750885327],[],[171],["D",1763750885327],{"_98":97,"_105":101},{"_98":97,"_99":-5,"_100":101,"_18":54,"_102":103,"_104":25},{"_13":84,"_32":85,"_43":42,"_86":44,"_87":88,"_89":90,"_91":50,"_92":93,"_94":63,"_95":45,"_96":97},"ctx",{"_77":-5,"_127":244,"_245":246,"_247":248,"_249":25,"_250":25,"_251":25,"_252":57,"_253":-5,"_254":-7,"_255":-7,"_256":61,"_257":25,"_258":25,"_259":-5,"_260":25,"_261":25,"_262":25,"_263":-5},"ENV",{"_215":216,"_217":218,"_219":85,"_220":221,"_222":223,"_224":225,"_226":227,"_228":229,"_230":231,"_232":233,"_234":235,"_236":237,"_238":239,"_240":241,"_242":243},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","e8c4b7030cb7600e4eb0736b15f422c8b8bd130f","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

Diff · v3