Resumen diario de noticias de Hacker News AI: resumen con GPT-5 y envío por correo electrónico

• •Pueden requerirse credenciales de autenticación para la API de destino
• •Clave de API de OpenAI

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        "content": "# Daily AI News Digest from Hacker News\n\n## 📋 What This Template Does\nFetches recent AI stories from Hacker News, filters for today, scrapes each article, summarizes with GPT into snippets, aggregates into HTML, and emails a styled daily digest.\n\n## 🔧 Prerequisites\n- n8n instance\n- OpenAI API access\n- SMTP server (e.g., Zoho, Gmail)\n\n## 🔑 Required Credentials\n\n### OpenAI API\n1. Get key from platform.openai.com/api-keys\n2. Add to n8n as OpenAI credential\n3. Assign to \"GPT 5 pro\" node\n\n### SMTP Setup\n1. Configure in n8n credentials (host, port, user/pass)\n2. Assign to \"Send Email Digest\" node\n3. Update fromEmail/toEmail fields\n\n## ⚙️ Configuration Steps\n1. Import JSON into n8n\n2. Assign OpenAI and SMTP credentials\n3. Update fromEmail/toEmail in \"Send Email Digest\" node\n4. Set schedule in \"Daily Schedule Trigger\" (e.g., daily at 8 AM)\n5. Activate workflow\n\n## 🎯 Use Cases\n- Personal AI news briefing\n- Team knowledge sharing\n- Content curation for blogs\n\n## ⚠️ Troubleshooting\n- No stories: Check keyword filter; HN API limits\n- Scraping fails: Add proxy if blocked\n- Email not sending: Verify SMTP settings\n- Summaries poor: Tweak GPT prompt"
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        "content": "## 📥 Data Collection\n\n**Fetch HN AI Stories:**\n- Pulls 1000 stories with \"AI\" keyword\n- Uses public HN API (no auth needed)\n\n**Filter Last 24 Hours:**\n- Checks `created_at` field\n- Keeps only yesterday/today posts\n- Uses `$now().minus({ days: 1 })`\n\n**💡 Customization:**\nChange keyword filter or date range here"
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        "content": "## 🌐 Content Processing\n\n**Loop Over Items:**\n- Processes each story sequentially\n- Prevents rate limiting\n\n**Scrape Article URL:**\n- Fetches content from source URL\n- May need proxy for blocked sites\n\n**Convert to Markdown:**\n- Cleans HTML to text\n- Formats for LLM input\n\n**💡 Troubleshooting:**\nIf scraping fails, check URL accessibility"
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