{ "workflow": { "id": 11080, "name": "Track daily brand mentions from Hacker News to Slack with GPT-4o-mini sentiment analysis", "views": 63, "recentViews": 0, "totalViews": 63, "createdAt": "2025-11-21T06:38:23.420Z", "description": "## πŸ“Š Description\nMonitor daily brand visibility and reputation with an automated AI-powered mention tracker. πŸ”πŸ€– This workflow checks Hacker News every morning for new stories matching your brand keyword, classifies each mention’s sentiment and urgency using GPT-4o-mini, and delivers a clean daily summary to Slack. If no mentions are found, the workflow sends a simple β€œno mentions today” update insteadβ€”ensuring your team is always informed without manual monitoring. Perfect for reputation tracking, competitive intelligence, and early warning alerts. πŸ“ˆπŸ’¬\n\n## πŸ” What This Template Does\n1️⃣ Triggers every morning at 09:00 to begin the analysis. ⏰\n 2️⃣ Loads brand name + keyword filters from configuration. 🏷️\n 3️⃣ Fetches relevant mentions from Hacker News using the Algolia API. 🌐\n 4️⃣ Normalizes raw API data into clean fields (title, URL, snippet, author, points). πŸ“„\n 5️⃣ Classifies each mention’s sentiment, stance, topic, and urgency using GPT-4o-mini. πŸ€–\n 6️⃣ Builds a ranked daily summary including top 10 mentions and sentiment totals. πŸ“Š\n 7️⃣ Sends the report to Slack, formatted cleanly and ready for team consumption. πŸ’¬\n 8️⃣ If no mentions exist, sends a simple β€œno new mentions today” message. 🚫\n 9️⃣ Includes an error handler that notifies Slack of any workflow failures. ⚠️\n\n## ⭐ Key Benefits\nβœ… Automatically tracks brand presence without manual searching\n βœ… AI-powered sentiment & urgency analysis for deeper insights\n βœ… Clean Slack summaries keep teams aligned and aware\n βœ… Early detection of negative or high-urgency mentions\n βœ… Zero manual monitoring β€” runs fully on schedule\n βœ… Suitable for brand monitoring, PR, marketing, and leadership teams\n\n## 🧩 Features\n- Daily schedule trigger\n- Hacker News API (Algolia) integration\n- Structured data normalization\n- GPT-4o-mini classification (sentiment, stance, topic, urgency)\n- Slack notifications (detailed report or no-mention message)\n- Error-handling pipeline with Slack alerts\n- Fully configurable brand keywords\n\n## πŸ” Requirements\n- Slack API credentials\n- OpenAI API key (GPT-4o-mini)\n- No authentication required for Hacker News API\n- n8n with LangChain nodes enabled\n\n## 🎯 Target Audience\n- Brand monitoring & PR teams\n- AI companies tracking public sentiment\n- Founders monitoring mentions of their product\n- Marketing teams watching trends & community feedback\n", "workflow": { "id": "Sler1Jv8uyaDt7cZ", "meta": { "instanceId": "8443f10082278c46aa5cf3acf8ff0f70061a2c58bce76efac814b16290845177", "templateCredsSetupCompleted": true }, "name": "Track daily brand mentions from Hacker News to Slack with AI sentiment analysis", "tags": [], "nodes": [ { "id": "2a7612de-ca5d-4f4d-b0d2-8cd75ab96323", "name": "Every Day at 09:00", "type": "n8n-nodes-base.scheduleTrigger", "position": [ -1312, 464 ], "parameters": { "rule": { "interval": [ { "field": "cronExpression", "expression": "0 9 * * *" } ] } }, "typeVersion": 1.2 }, { "id": "f0061436-e3cf-4516-abbf-35c3e6413505", "name": "Brand Config", "type": "n8n-nodes-base.set", "position": [ -1088, 464 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "brand-field", "name": "brand", "type": "string", "value": "OpenAI" }, { "id": "keywords-field", "name": "keywords", "type": "string", "value": "OpenAI" } ] } }, "typeVersion": 3.4 }, { "id": "81966f20-5f1c-4e58-b9b2-8cc6f7726a3a", "name": "Fetch Reddit Mentions", "type": "n8n-nodes-base.httpRequest", "position": [ -864, 464 ], "parameters": { "url": "=http://hn.algolia.com/api/v1/search?query={{$json[\"keywords\"]}}&tags=story", "options": {}, "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "User-Agent", "value": "n8n-monitor-bot" } ] } }, "typeVersion": 4.2 }, { "id": "0e9f423c-3298-4524-a5cf-7a6d799a3d87", "name": "Normalize Mentions", "type": "n8n-nodes-base.code", "position": [ -640, 464 ], "parameters": { "jsCode": "const items = $input.all();\nconst brand = $('Brand Config').first().json.brand\n\nconst normalized = [];\n\nitems.forEach(item => {\n const hits = item.json.hits || [];\n \n hits.forEach(hit => {\n normalized.push({\n platform: 'Hacker News',\n title: hit.title || '',\n url: hit.url || `https://news.ycombinator.com/item?id=${hit.objectID}`,\n snippet: hit.story_text || hit.title || '',\n author: hit.author || 'unknown',\n created_at: hit.created_at || new Date(hit.created_at_i * 1000).toISOString(),\n brand: brand,\n points: hit.points || 0,\n num_comments: hit.num_comments || 0\n });\n });\n});\n\nreturn normalized.map(item => ({ json: item }));" }, "typeVersion": 2 }, { "id": "cd01b4a3-fc61-43fb-8d32-b78ccaadd62f", "name": "Mentions Exist?", "type": "n8n-nodes-base.if", "position": [ -192, 464 ], "parameters": { "options": {}, "conditions": { "options": { "version": 1, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "mention-exists", "operator": { "type": "number", "operation": "gt" }, "leftValue": "={{ $items().length }}", "rightValue": 0 } ] } }, "typeVersion": 2 }, { "id": "bbb9eddd-8d0f-48d1-b5a8-f794e1462f7c", "name": "Build Daily Summary", "type": "n8n-nodes-base.code", "position": [ 720, 320 ], "parameters": { "jsCode": "const items = $input.all();\nconst brand = items[0]?.json.brand || 'VivekLabs';\n\nconst totalMentions = items.length;\nconst sentimentCounts = {\n positive: 0,\n negative: 0,\n neutral: 0\n};\n\nitems.forEach(item => {\n const sentiment = item.json.sentiment || 'neutral';\n if (sentimentCounts[sentiment] !== undefined) {\n sentimentCounts[sentiment]++;\n }\n});\n\nconst top10 = items.slice(0, 10);\n\nlet reportText = `*Daily Brand Mentions Report for ${brand}*\\n\\n`;\nreportText += `πŸ“Š *Total Mentions:* ${totalMentions}\\n`;\nreportText += `βœ… Positive: ${sentimentCounts.positive}\\n`;\nreportText += `❌ Negative: ${sentimentCounts.negative}\\n`;\nreportText += `βšͺ Neutral: ${sentimentCounts.neutral}\\n\\n`;\nreportText += `*Top Mentions:*\\n`;\n\ntop10.forEach((item, index) => {\n const data = item.json;\n const emoji = data.sentiment === 'positive' ? 'βœ…' : data.sentiment === 'negative' ? '❌' : 'βšͺ';\n const title = data.title || 'No title';\n const platform = data.platform || 'Hackers Info';\n const topic = data.topic || 'other';\n const urgency = data.urgency || 'low';\n const url = data.url || '';\n \n reportText += `${index + 1}. ${emoji} *${title}*\\n`;\n reportText += ` Platform: ${platform} | Topic: ${topic} | Urgency: ${urgency}\\n`;\n reportText += ` ${url}\\n\\n`;\n});\n\nreturn [{ json: { text: reportText } }];" }, "typeVersion": 2 }, { "id": "bfea6659-b7e3-4adf-b01c-72062f040af5", "name": "Send Daily Report to Slack", "type": "n8n-nodes-base.slack", "position": [ 944, 320 ], "webhookId": "bb4a4d66-7a78-44db-94e2-8b0e4a12be68", "parameters": { "text": "={{$json[\"text\"]}}", "select": "channel", "channelId": { "__rl": true, "mode": "id", "value": "=" }, "otherOptions": {} }, "credentials": { "slackApi": { "id": "credential-id", "name": "slackApi Credential" } }, "typeVersion": 2.2 }, { "id": "6207ae42-847f-4f24-8497-4adddf98d690", "name": "No Mentions Message", "type": "n8n-nodes-base.set", "position": [ 160, 608 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "no-mentions-text", "name": "text", "type": "string", "value": "=No new AI engine mentions were found today for {{$node[\"Brand Config\"].json[\"brand\"]}}." } ] } }, "typeVersion": 3.4 }, { "id": "bcad6160-5453-456d-b264-fc991c42b7ac", "name": "Send No Mentions to Slack", "type": "n8n-nodes-base.slack", "position": [ 496, 608 ], "webhookId": "762aabea-1b4b-4672-8f42-7e496395e84d", "parameters": { "text": "={{$json[\"text\"]}}", "select": "channel", "channelId": { "__rl": true, "mode": "id", "value": "=" }, "otherOptions": {} }, "credentials": { "slackApi": { "id": "credential-id", "name": "slackApi Credential" } }, "typeVersion": 2.2 }, { "id": "8ce97211-b4e1-4e1d-9e15-fd6ebd320247", "name": "Checking Score", "type": "n8n-nodes-base.if", "position": [ -416, 464 ], "parameters": { "options": {}, "conditions": { "options": { "version": 1, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "mention-exists", "operator": { "type": "number", "operation": "gt" }, "leftValue": "={{ $json.num_comments }}", "rightValue": 1000 } ] } }, "typeVersion": 2 }, { "id": "def75b6a-d57f-44f2-8a1c-64d0552e6baa", "name": "OpenAI Chat Model - GPT-4o-mini", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 32, 432 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini", "cachedResultName": "gpt-4o-mini" }, "options": {} }, "credentials": { "openAiApi": { "id": "credential-id", "name": "openAiApi Credential" } }, "typeVersion": 1.2 }, { "id": "b49bd7bc-b0ed-4bb2-a495-3eb9dbd83428", "name": "Memory - Conversation Buffer", "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "position": [ 160, 432 ], "parameters": { "sessionKey": "\"GEO Classify\"", "sessionIdType": "customKey" }, "typeVersion": 1.3 }, { "id": "6b4a610e-a656-45a3-87e5-9d564efc88f2", "name": "Output Parser - Structured JSON", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 288, 432 ], "parameters": { "jsonSchemaExample": "{\n \"sentiment\": \"positive | negative | neutral\",\n \"stance\": \"supports | criticizes | questioning | just mentioning\",\n \"topic\": \"pricing | quality | support | features | bugs | performance | general | other\",\n \"urgency\": \"low | medium | high\",\n \"reason\": \"short explanation string\"\n}" }, "typeVersion": 1.3 }, { "id": "9428daf8-21da-47cc-9d7d-88c05404ad20", "name": "AI Agent - Classify Mention Sentiments", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 96, 208 ], "parameters": { "text": "=Brand: {{$json[\"brand\"]}}\nPlatform: {{$json[\"platform\"]}}\nTitle: {{$json[\"title\"]}}\nSnippet: {{$json[\"snippet\"]}}\n\nDetermine how this mention talks about the brand.\n", "options": { "systemMessage": "=You are a brand reputation analyst.\n\nClassify each mention of the brand by:\n- sentiment: positive, negative, or neutral\n- stance: supports, criticizes, questioning, or just mentioning\n- topic: one of [pricing, quality, support, features, bugs, performance, general, other]\n- urgency: low, medium, or high.\n\nYou MUST respond with STRICT JSON only, no markdown, like:\n{\n \"sentiment\": \"positive | negative | neutral\",\n \"stance\": \"supports | criticizes | questioning | just mentioning\",\n \"topic\": \"pricing | quality | support | features | bugs | performance | general | other\",\n \"urgency\": \"low | medium | high\",\n \"reason\": \"short explanation string\"\n}\n" }, "promptType": "define", "hasOutputParser": true }, "typeVersion": 2.1 }, { "id": "485ed40a-9751-4ba2-aad7-28b8f9f8f6af", "name": "Format Sentiment Data", "type": "n8n-nodes-base.set", "position": [ 496, 320 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "8e26c379-a8fa-4b5e-9d9b-a12f22686645", "name": "sentiment", "type": "string", "value": "={{ $json.output.sentiment }}" }, { "id": "d9267ace-ee8c-4662-aa08-b250c6556ffa", "name": "stance", "type": "string", "value": "={{ $json.output.stance }}" }, { "id": "d916c361-c65f-4029-b466-ea7fe76ba5c5", "name": "topic", "type": "string", "value": "={{ $json.output.topic }}" }, { "id": "b71b8175-4c7f-45fd-bb29-1ffc3c4b3436", "name": "urgency", "type": "string", "value": "={{ $json.output.urgency }}" }, { "id": "7c9dcebe-a2a0-4529-bc0c-ad6cc788898d", "name": "reason", "type": "string", "value": "={{ $json.output.reason }}" } ] } }, "typeVersion": 3.4 }, { "id": "cf1fb0da-f564-4230-8b8e-b4d811b04cc5", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -1408, -384 ], "parameters": { "width": 448, "height": 704, "content": "## Daily AI Engine Mentions Tracker – Overview\n\nThis workflow tracks daily online mentions of a selected brand and sends a summary to Slack. It checks Hacker News each morning, processes the results, analyzes sentiment and urgency with AI, and sends either a detailed report or a β€œno mentions today” message. This helps teams monitor brand reputation and identify issues early.\n\n### How it works\n1. A daily trigger runs at 09:00 and loads brand configuration.\n2. Mentions are fetched from Hacker News based on brand keywords.\n3. Mentions are normalized into a clean structure.\n4. AI classifies each mention’s sentiment, stance, topic, and urgency.\n5. A daily summary is generated, showing total mentions and the top 10 items.\n6. Slack receives either a detailed report or a no-mentions message.\n\n### Setup steps\n- Set your brand name and keyword inside the β€œBrand Config” node.\n- Add Slack credentials and select the channel to send reports.\n- Add OpenAI credentials for GPT-4o-mini.\n- Run a sample execution to verify formatting.\n" }, "typeVersion": 1 }, { "id": "c71bebc3-69e1-4b2f-b3b5-9316e69d5f5a", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -1392, 352 ], "parameters": { "color": 2, "width": 448, "height": 304, "content": "## Trigger & Brand Setup\nRuns daily at 09:00 and loads the brand name + keyword filters.\n" }, "typeVersion": 1 }, { "id": "0e11af5a-7d41-4fbc-bf13-1a974922145b", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ -928, 352 ], "parameters": { "color": 2, "width": 224, "height": 304, "content": "## Fetch Mentions\nQueries Hacker News for new stories matching the brand keyword.\n" }, "typeVersion": 1 }, { "id": "4ee80f6b-2907-4068-9295-8f324a5865b9", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ -688, 320 ], "parameters": { "color": 2, "width": 614, "height": 336, "content": "## Normalize Mentions\nConverts raw API results into a clean structure for AI classification.\n" }, "typeVersion": 1 }, { "id": "371de316-878a-48c4-a492-394605e7504b", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ -16, 112 ], "parameters": { "color": 2, "width": 448, "height": 464, "content": "## AI Classification\nAI evaluates sentiment, stance, topic, and urgency for each mention.\n" }, "typeVersion": 1 }, { "id": "d15ba049-379e-4f68-a17c-51f614aee438", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ 448, 112 ], "parameters": { "color": 2, "width": 400, "height": 464, "content": "## Format Sentiment Output and Summary\nMaps AI-generated sentiment fields into clean JSON for reporting.Builds a daily Slack-friendly summary including top trending mentions.\n" }, "typeVersion": 1 }, { "id": "84710f35-de7d-4b58-8c4b-5f043d4573a9", "name": "Sticky Note6", "type": "n8n-nodes-base.stickyNote", "position": [ 864, 112 ], "parameters": { "color": 2, "height": 464, "content": "## Slack Notifications\nSends either a full daily report or a β€œno mentions today” message.\n" }, "typeVersion": 1 }, { "id": "fac8347b-4957-4dee-b866-4955bf268dd7", "name": "Error Handling", "type": "n8n-nodes-base.stickyNote", "position": [ -1376, 1040 ], "parameters": { "color": 2, "width": 584, "height": 276, "content": "## Error Handling\nCaptures workflow failures and sends details to Slack for quick debugging.\n" }, "typeVersion": 1 }, { "id": "15ea6ce7-3a12-4b28-aa15-691fbc6e1f83", "name": "Error Handler Trigger", "type": "n8n-nodes-base.errorTrigger", "position": [ -1232, 1152 ], "parameters": {}, "typeVersion": 1 }, { "id": "7e3a85d0-6586-4a32-b5b3-99aca1fe5f4d", "name": "Slack: Send Error Alert", "type": "n8n-nodes-base.slack", "position": [ -1024, 1152 ], "webhookId": "d5eff2c3-ff6e-4116-bdda-59455acd861b", "parameters": { "text": "=⚠️ *Error in API Error Catalog Workflow*\n*Node:* {{ $json.node.name }}\n*Message:* {{ $json.error.message }}\n*Time:* {{ $json.timestamp }}", "select": "channel", "channelId": { "__rl": true, "mode": "id", "value": "=" }, "otherOptions": {}, "authentication": "oAuth2" }, "credentials": { "slackOAuth2Api": { "id": "credential-id", "name": "slackOAuth2Api Credential" } }, "typeVersion": 2.3 } ], "active": false, "pinData": {}, "settings": { "executionOrder": "v1" }, "versionId": "b9d49bbe-de92-4ac0-afd6-7d04141ab9da", "connections": { "Brand Config": { "main": [ [ { "node": "Fetch Reddit Mentions", "type": "main", "index": 0 } ] ] }, "Checking Score": { "main": [ [ { "node": "Mentions Exist?", "type": "main", "index": 0 } ] ] }, "Mentions Exist?": { "main": [ [ { "node": "AI Agent - Classify Mention Sentiments", "type": "main", "index": 0 } ], [ { "node": "No Mentions Message", "type": "main", "index": 0 } ] ] }, "Every Day at 09:00": { "main": [ [ { "node": "Brand Config", "type": "main", "index": 0 } ] ] }, "Normalize Mentions": { "main": [ [ { "node": "Checking Score", "type": "main", "index": 0 } ] ] }, "Build Daily Summary": { "main": [ [ { "node": "Send Daily Report to Slack", "type": "main", "index": 0 } ] ] }, "No Mentions Message": { "main": [ [ { "node": "Send No Mentions to Slack", "type": "main", "index": 0 } ] ] }, "Error Handler Trigger": { "main": [ [ { "node": "Slack: Send Error Alert", "type": "main", "index": 0 } ] ] }, "Fetch Reddit Mentions": { "main": [ [ { "node": "Normalize Mentions", "type": "main", "index": 0 } ] ] }, "Format Sentiment Data": { "main": [ [ { "node": "Build Daily Summary", "type": "main", "index": 0 } ] ] }, "Memory - Conversation Buffer": { "ai_memory": [ [ { "node": "AI Agent - Classify Mention Sentiments", "type": "ai_memory", "index": 0 } ] ] }, "OpenAI Chat Model - 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With deep expertise in building open-source workflow automation and self-hosted automation platforms, he helps organizations eliminate manual processes through intelligent n8n ai agent automation solutions.\n\n", "verified": true, "links": [ "https://www.linkedin.com/in/callrahul/" ], "avatar": "https://gravatar.com/avatar/b6cf57822463143589b36ada06fbf6cb1509223a740fae3160b28f1ce41ccc12?r=pg&d=retro&size=200" }, "nodes": [ { "id": 12, "icon": "fa:bug", "name": "n8n-nodes-base.errorTrigger", "codex": { "data": { "details": "In n8n, when a workflow execution fails, it can start another workflow. This second workflow can be any arbitrary workflow on your n8n instance. 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