{"workflow":{"id":13839,"name":"Aggregate tech trend signals from RSS feeds into Google Sheets and Slack","views":65,"recentViews":1,"totalViews":65,"createdAt":"2026-03-03T12:54:14.898Z","description":"## Who is this for?\n\nFounders, product managers, content strategists, indie hackers, and anyone who wants to automatically monitor tech industry trends across multiple sources — without manually browsing Hacker News and Product Hunt every day.\n\n## What this workflow does\n\nThis workflow scans public RSS feeds from Hacker News and Product Hunt daily, scores every item against configurable keyword groups (AI, SaaS, No-Code, Dev Tools, etc.), clusters the results into ranked themes, and delivers a prioritized intelligence report via Slack and email. All signals and themes are logged to Google Sheets for historical trend analysis.\n\n## How it works\n\n1. **Daily trigger** fires on a configurable schedule (default: every 24 hours).\n2. **Fetches RSS feeds** from Hacker News (posts with 50+ points) and Product Hunt in parallel.\n3. **Parses and normalizes** all feed items — extracting titles, descriptions, URLs, and publish dates from RSS/Atom XML.\n4. **Scores each item** against 7 weighted keyword groups. Title matches receive a bonus multiplier. Source weights (Hacker News 1.5x, Product Hunt 1.3x) amplify signals from higher-authority sources.\n5. **Clusters into themes** — groups scored items by primary category, calculates theme strength using source diversity and volume bonuses, and classifies each as VERY_STRONG, STRONG, MODERATE, or WEAK.\n6. **Builds an intelligence report** with theme rankings, top 10 signals, and action items for surging topics. Generated in both plain text (Slack) and HTML (email).\n7. **Delivers and logs** — posts to Slack, sends HTML email, and appends both individual signals and theme summaries to separate Google Sheet tabs.\n\n## Setup steps\n\n1. **Connect Google Sheets OAuth2** credentials and update the Sheet ID in both \"Log Signals to Sheet\" and \"Log Themes to Sheet\" nodes.\n2. **Create a Google Sheet** with two tabs:\n - `signal` — headers: `date`, `title`, `source`, `score`, `category`, `url`\n - `themes` — headers: `date`, `category`, `signal_level`, `theme_strength`, `item_count`, `sources`, `top_keywords`\n3. **Connect Slack OAuth2** credentials and configure your target channel in the \"Post Report to Slack\" node.\n4. **Connect Gmail OAuth2** credentials and update `YOUR_EMAIL@EXAMPLE.COM` in the \"Email Daily Report\" node.\n5. **Activate** the workflow.\n\n## Requirements\n\n- n8n instance (self-hosted or cloud)\n- Google Cloud project with Sheets API enabled\n- Slack workspace with a bot configured\n- Gmail account with OAuth2 credentials (or swap for SMTP)\n- No API keys needed for RSS feeds — they are publicly accessible\n\n## How to customize\n\n- **Add more RSS feeds** — duplicate a feed node (e.g., TechCrunch, Reddit, Lobsters), connect it to the Merge node as an additional input, and add the parsing logic in the \"Parse All RSS Feeds\" code node.\n- **Edit keyword groups** — modify the `keywordGroups` object in the \"Score and Classify Signals\" node. Add your industry-specific keywords, adjust weights, and rename categories.\n- **Adjust source weights** — change the weight multipliers in the parser node to reflect which sources you trust most.\n- **Theme thresholds** — modify the strength cutoffs (30 = VERY_STRONG, 15 = STRONG, 8 = MODERATE) in the \"Aggregate Signals into Themes\" node.\n- **Schedule** — change from daily to hourly for real-time monitoring, or weekly for a digest format.\n- **Add AI analysis** — insert an LLM node after the report builder to generate strategic commentary on detected trends.","workflow":{"id":"CprHW1jo93EjF1wy","meta":{"instanceId":"8f8ee4eb853c20789e317beb113798e3d078c0c7ef754b4b9fad98c2eee7e79d"},"name":"Aggregate trend signals to Google Sheets and Slack","tags":[],"nodes":[{"id":"e0aa7c36-3e3b-4433-8fe9-2df2a24bbfda","name":"Daily Schedule Trigger","type":"n8n-nodes-base.scheduleTrigger","position":[736,432],"parameters":{"rule":{"interval":[{"field":"hours","hoursInterval":24}]}},"typeVersion":1.2},{"id":"44403338-5ecd-4d8f-a423-4794ed804449","name":"Fetch Hacker News RSS","type":"n8n-nodes-base.httpRequest","position":[960,336],"parameters":{"url":"https://hnrss.org/newest?points=50&count=30","options":{"timeout":15000,"response":{"response":{"responseFormat":"text"}}}},"typeVersion":4.2},{"id":"856fee05-7dd2-4bbe-8580-b8e10986238e","name":"Fetch Product Hunt RSS","type":"n8n-nodes-base.httpRequest","position":[960,528],"parameters":{"url":"https://www.producthunt.com/feed","options":{"timeout":15000,"response":{"response":{"responseFormat":"text"}}}},"typeVersion":4.2},{"id":"5e540b05-7780-41e7-aa16-88bf0a7cbedd","name":"Wait for All Feeds","type":"n8n-nodes-base.merge","position":[1184,432],"parameters":{},"typeVersion":3},{"id":"80c7a7f6-84fe-4d81-be24-498bc4a0e87a","name":"Parse All RSS Feeds","type":"n8n-nodes-base.code","position":[1408,432],"parameters":{"jsCode":"// Parse RSS/Atom feeds into normalized items\n// Grab data from each named feed node directly\n\nconst rawFeeds = [];\n\ntry {\n const hn = $('Fetch Hacker News RSS').all();\n for (const item of hn) {\n const str = typeof item.json === 'string' ? item.json : (item.json.data || JSON.stringify(item.json));\n rawFeeds.push({ name: 'hackernews', weight: 1.5, xml: str });\n }\n} catch(e) {}\n\ntry {\n const ph = $('Fetch Product Hunt RSS').all();\n for (const item of ph) {\n const str = typeof item.json === 'string' ? item.json : (item.json.data || JSON.stringify(item.json));\n rawFeeds.push({ name: 'producthunt', weight: 1.3, xml: str });\n }\n} catch(e) {}\n\nfunction extractItems(xml, sourceName, weight) {\n const items = [];\n if (!xml || xml.length < 50) return items;\n \n const itemRegex = /<(?:item|entry)[^>]*>([\\s\\S]*?)<\\/(?:item|entry)>/gi;\n let match;\n \n while ((match = itemRegex.exec(xml)) !== null) {\n const block = match[1];\n \n const getTag = (tag) => {\n const r = new RegExp(\n '<' + tag + '[^>]*><\\\\/' + tag + '>|' +\n '<' + tag + '[^>]*>([\\\\s\\\\S]*?)<\\\\/' + tag + '>',\n 'i'\n );\n const m = block.match(r);\n return m ? (m[1] || m[2] || '').trim() : '';\n };\n \n let link = getTag('link');\n if (!link) {\n const hrefMatch = block.match(/href=\"([^\"]+)\"/i);\n if (hrefMatch) link = hrefMatch[1];\n }\n \n const title = getTag('title').replace(/<[^>]+>/g, '').trim();\n const desc = getTag('description').replace(/<[^>]+>/g, '').substring(0, 300);\n const content = getTag('content').replace(/<[^>]+>/g, '').substring(0, 300) || desc;\n const pubDate = getTag('pubDate') || getTag('published') || getTag('updated') || '';\n \n if (!title) continue;\n \n items.push({\n source: sourceName,\n source_weight: weight,\n title: title,\n url: link,\n description: (content || desc).substring(0, 200),\n published: pubDate,\n raw_text: (title + ' ' + desc + ' ' + content).toLowerCase()\n });\n }\n \n return items;\n}\n\nlet allItems = [];\n\nfor (const feed of rawFeeds) {\n try {\n const items = extractItems(feed.xml, feed.name, feed.weight);\n allItems = allItems.concat(items);\n } catch(e) {}\n}\n\nif (allItems.length === 0) {\n return [{ json: { items: [], total_fetched: 0, feeds_processed: rawFeeds.length, error: 'No items parsed from any feed.' } }];\n}\n\nreturn [{ json: { items: allItems, total_fetched: allItems.length, feeds_processed: rawFeeds.length } }];"},"typeVersion":2},{"id":"e44a28b9-0a58-4298-9213-ebe8f72c3871","name":"Score and Classify Signals","type":"n8n-nodes-base.code","position":[1632,432],"parameters":{"jsCode":"const data = $input.first().json;\nconst items = data.items;\n\nif (!items || items.length === 0) {\n return [{ json: { scored_items: [], total_signals: 0, total_fetched: 0, error: 'No items to score' } }];\n}\n\n// ============================================\n// CUSTOMIZE YOUR KEYWORD GROUPS BELOW\n// Add, remove, or adjust keywords and weights\n// to match your industry and interests\n// ============================================\nconst keywordGroups = {\n 'ai_automation': {\n keywords: ['ai agent', 'ai automation', 'llm', 'gpt', 'claude', 'copilot', 'ai tool', 'artificial intelligence', 'machine learning', 'generative ai', 'ai-powered', 'langchain', 'rag'],\n weight: 2.0,\n category: 'AI & Automation'\n },\n 'no_code': {\n keywords: ['no-code', 'nocode', 'low-code', 'lowcode', 'n8n', 'zapier', 'make.com', 'automation platform', 'workflow automation', 'airtable'],\n weight: 1.8,\n category: 'No-Code / Low-Code'\n },\n 'saas_business': {\n keywords: ['saas', 'mrr', 'arr', 'churn', 'b2b saas', 'micro-saas', 'bootstrapped', 'indie hacker', 'recurring revenue', 'subscription'],\n weight: 1.5,\n category: 'SaaS & Business'\n },\n 'developer_tools': {\n keywords: ['developer tool', 'dev tool', 'api', 'sdk', 'open source', 'cli tool', 'developer experience', 'dx', 'devops', 'infrastructure'],\n weight: 1.3,\n category: 'Developer Tools'\n },\n 'marketing_growth': {\n keywords: ['seo', 'content marketing', 'growth hack', 'conversion', 'landing page', 'email marketing', 'organic traffic', 'product-led', 'plg', 'go-to-market'],\n weight: 1.4,\n category: 'Marketing & Growth'\n },\n 'pricing_monetization': {\n keywords: ['pricing', 'monetization', 'freemium', 'paywall', 'revenue model', 'billing', 'payment', 'stripe', 'pricing strategy'],\n weight: 1.6,\n category: 'Pricing & Monetization'\n },\n 'remote_productivity': {\n keywords: ['remote work', 'async', 'productivity', 'collaboration tool', 'project management', 'notion', 'obsidian', 'second brain', 'knowledge management'],\n weight: 1.1,\n category: 'Remote & Productivity'\n }\n};\n\nconst scoredItems = [];\n\nfor (const item of items) {\n const text = item.raw_text || '';\n let totalScore = 0;\n const matchedGroups = [];\n const matchedKeywords = [];\n \n for (const [groupId, group] of Object.entries(keywordGroups)) {\n let groupHits = 0;\n \n for (const kw of group.keywords) {\n if (text.includes(kw)) {\n groupHits++;\n matchedKeywords.push(kw);\n }\n }\n \n if (groupHits > 0) {\n const groupScore = groupHits * group.weight;\n totalScore += groupScore;\n matchedGroups.push({\n group: group.category,\n hits: groupHits,\n score: parseFloat(groupScore.toFixed(2))\n });\n }\n }\n \n totalScore = totalScore * (item.source_weight || 1);\n \n const titleText = (item.title || '').toLowerCase();\n let titleBonus = 0;\n for (const [groupId, group] of Object.entries(keywordGroups)) {\n for (const kw of group.keywords) {\n if (titleText.includes(kw)) {\n titleBonus += 1.5;\n }\n }\n }\n totalScore += titleBonus;\n \n if (totalScore > 0) {\n scoredItems.push({\n title: item.title,\n url: item.url,\n source: item.source,\n description: item.description,\n published: item.published,\n signal_score: parseFloat(totalScore.toFixed(2)),\n matched_groups: matchedGroups,\n matched_keywords: [...new Set(matchedKeywords)],\n primary_category: matchedGroups.length > 0 \n ? matchedGroups.sort((a, b) => b.score - a.score)[0].group \n : 'General',\n title_match: titleBonus > 0\n });\n }\n}\n\nscoredItems.sort((a, b) => b.signal_score - a.signal_score);\n\nreturn [{ json: { scored_items: scoredItems, total_signals: scoredItems.length, total_fetched: items.length } }];"},"typeVersion":2},{"id":"5c8edc2d-9950-40b3-b722-5d372f13cd04","name":"Aggregate Signals into Themes","type":"n8n-nodes-base.code","position":[1856,432],"parameters":{"jsCode":"const data = $input.first().json;\nconst items = data.scored_items || [];\n\nif (items.length === 0) {\n const today = new Date().toISOString().split('T')[0];\n return [{\n json: {\n date: today,\n themes: [],\n total_signals: 0,\n total_fetched: data.total_fetched || 0,\n top_items: [],\n note: 'No keyword matches found today.'\n }\n }];\n}\n\nconst themes = {};\n\nfor (const item of items) {\n const cat = item.primary_category;\n if (!themes[cat]) {\n themes[cat] = {\n category: cat,\n items: [],\n total_score: 0,\n source_diversity: new Set(),\n all_keywords: []\n };\n }\n themes[cat].items.push(item);\n themes[cat].total_score += item.signal_score;\n themes[cat].source_diversity.add(item.source);\n themes[cat].all_keywords.push(...(item.matched_keywords || []));\n}\n\nconst themeResults = [];\n\nfor (const [cat, theme] of Object.entries(themes)) {\n const itemCount = theme.items.length;\n const sourceDiversity = theme.source_diversity.size;\n const avgScore = theme.total_score / itemCount;\n \n const diversityBonus = 1 + (sourceDiversity - 1) * 0.3;\n const volumeBonus = 1 + Math.log2(Math.max(itemCount, 1)) * 0.2;\n const themeStrength = parseFloat((theme.total_score * diversityBonus * volumeBonus).toFixed(2));\n \n let signalLevel;\n if (themeStrength >= 30) signalLevel = 'VERY_STRONG';\n else if (themeStrength >= 15) signalLevel = 'STRONG';\n else if (themeStrength >= 8) signalLevel = 'MODERATE';\n else signalLevel = 'WEAK';\n \n const kwFreq = {};\n for (const kw of theme.all_keywords) {\n kwFreq[kw] = (kwFreq[kw] || 0) + 1;\n }\n const topKeywords = Object.entries(kwFreq)\n .sort((a, b) => b[1] - a[1])\n .slice(0, 5)\n .map(([kw, count]) => kw + ' (' + count + ')');\n \n themeResults.push({\n category: cat,\n signal_level: signalLevel,\n theme_strength: themeStrength,\n item_count: itemCount,\n sources: [...theme.source_diversity],\n source_count: sourceDiversity,\n avg_item_score: parseFloat(avgScore.toFixed(2)),\n top_keywords: topKeywords,\n top_items: theme.items\n .sort((a, b) => b.signal_score - a.signal_score)\n .slice(0, 5)\n .map(i => ({\n title: i.title,\n source: i.source,\n score: i.signal_score,\n url: i.url\n }))\n });\n}\n\nthemeResults.sort((a, b) => b.theme_strength - a.theme_strength);\n\nconst today = new Date().toISOString().split('T')[0];\n\nreturn [{\n json: {\n date: today,\n themes: themeResults,\n total_signals: data.total_signals,\n total_fetched: data.total_fetched,\n top_items: items.slice(0, 15).map(i => ({\n title: i.title,\n source: i.source,\n score: i.signal_score,\n category: i.primary_category,\n url: i.url\n }))\n }\n}];"},"typeVersion":2},{"id":"7a566c27-041c-4164-9d7b-be035c22a036","name":"Build Intelligence Report","type":"n8n-nodes-base.code","position":[2080,432],"parameters":{"jsCode":"const data = $input.first().json;\nconst themes = data.themes || [];\nconst topItems = data.top_items || [];\nconst today = data.date || new Date().toISOString().split('T')[0];\n\nif (themes.length === 0 && topItems.length === 0) {\n const report = 'SIGNAL INTELLIGENCE REPORT — ' + today + '\\n\\nSources scanned: ' + (data.total_fetched || 0) + ' items\\nNo matching signals found today.\\n\\nTip: Broaden keywords in the Score node, or add more RSS sources.';\n return [{\n json: {\n report: report,\n report_html: '

Signal Report — ' + today + '

No matching signals found today.

',\n date: today,\n themes: [],\n top_items: [],\n strong_theme_count: 0,\n total_signals: 0\n }\n }];\n}\n\nlet report = 'SIGNAL INTELLIGENCE REPORT — ' + today + '\\n';\nreport += 'Sources scanned: ' + data.total_fetched + ' items → ' + data.total_signals + ' signals detected\\n';\nreport += '━━━━━━━━━━━━━━━━━━━━━━━━━━\\n\\n';\nreport += 'THEME STRENGTH RANKING:\\n\\n';\n\nfor (const theme of themes) {\n report += theme.signal_level + ' ' + theme.category + '\\n';\n report += ' Strength: ' + theme.theme_strength + ' | Items: ' + theme.item_count + ' | Sources: ' + theme.sources.join(', ') + '\\n';\n report += ' Keywords: ' + theme.top_keywords.join(', ') + '\\n\\n';\n}\n\nreport += '━━━━━━━━━━━━━━━━━━━━━━━━━━\\n';\nreport += 'TOP 10 STRONGEST SIGNALS:\\n\\n';\n\nfor (let i = 0; i < Math.min(topItems.length, 10); i++) {\n const item = topItems[i];\n report += (i + 1) + '. ' + item.title + '\\n';\n report += ' Score: ' + item.score + ' | Source: ' + item.source + ' | Theme: ' + item.category + '\\n';\n if (item.url) report += ' ' + item.url + '\\n';\n report += '\\n';\n}\n\nconst strongThemes = themes.filter(t => t.theme_strength >= 15);\nif (strongThemes.length > 0) {\n report += '━━━━━━━━━━━━━━━━━━━━━━━━━━\\n';\n report += 'ACTION ITEMS — Strong signals detected:\\n\\n';\n for (const t of strongThemes) {\n report += '• ' + t.category + ' is surging across ' + t.source_count + ' sources. ';\n report += 'Top keyword: ' + (t.top_keywords[0] || 'n/a') + '. ';\n report += 'Consider creating content or building in this space.\\n';\n }\n}\n\nlet html = '

Signal Intelligence Report — ' + today + '

';\nhtml += '

Sources scanned: ' + data.total_fetched + ' items → ' + data.total_signals + ' signals

';\nhtml += '

Theme Strength

';\nhtml += '';\nfor (const theme of themes) {\n html += '';\n html += '';\n html += '';\n html += '';\n html += '';\n}\nhtml += '
ThemeSignalStrengthItemsSources
' + theme.category + '' + theme.signal_level + '' + theme.theme_strength + '' + theme.item_count + '' + theme.sources.join(', ') + '
';\nhtml += '

Top Signals

    ';\nfor (let i = 0; i < Math.min(topItems.length, 10); i++) {\n const item = topItems[i];\n html += '
  1. ' + item.title + '
    Score: ' + item.score + ' | ' + item.source + ' | ' + item.category;\n if (item.url) html += ' | Link';\n html += '
    2. ';\n}\nhtml += '
';\n\nreturn [{\n json: {\n report: report,\n report_html: html,\n date: today,\n themes: themes,\n top_items: topItems,\n strong_theme_count: strongThemes.length,\n total_signals: data.total_signals\n }\n}];"},"typeVersion":2},{"id":"9ca1e3b4-a677-44f0-9f04-7fcf6d480dad","name":"Flatten Top Signals for Sheet","type":"n8n-nodes-base.code","position":[2304,336],"parameters":{"jsCode":"const data = $input.first().json;\nconst items = data.top_items || [];\n\nif (items.length === 0) {\n return [{ json: { date: data.date, title: 'No signals detected', source: '-', score: 0, category: '-', url: '-' } }];\n}\n\nreturn items.map(item => ({\n json: {\n date: data.date,\n title: item.title || '',\n source: item.source || '',\n score: item.score || 0,\n category: item.category || '',\n url: item.url || ''\n }\n}));"},"typeVersion":2},{"id":"ea3b55cb-bf55-4fea-a5db-4b5cc8f4b2d8","name":"Log Signals to Sheet","type":"n8n-nodes-base.googleSheets","position":[2528,336],"parameters":{"columns":{"value":{"date":"={{ $json.date }}","category":"={{ $json.category }}"},"schema":[{"id":"date","type":"string","display":true,"required":false,"displayName":"date","defaultMatch":false,"canBeUsedToMatch":true},{"id":"category","type":"string","display":true,"required":false,"displayName":"category","defaultMatch":false,"canBeUsedToMatch":true},{"id":"signal_level","type":"string","display":true,"required":false,"displayName":"signal_level","defaultMatch":false,"canBeUsedToMatch":true},{"id":"theme_strength","type":"string","display":true,"required":false,"displayName":"theme_strength","defaultMatch":false,"canBeUsedToMatch":true},{"id":"item_count","type":"string","display":true,"required":false,"displayName":"item_count","defaultMatch":false,"canBeUsedToMatch":true},{"id":"sources","type":"string","display":true,"required":false,"displayName":"sources","defaultMatch":false,"canBeUsedToMatch":true},{"id":"top_keywords","type":"string","display":true,"required":false,"displayName":"top_keywords","defaultMatch":false,"canBeUsedToMatch":true}],"mappingMode":"autoMapInputData","matchingColumns":[],"attemptToConvertTypes":false,"convertFieldsToString":true},"options":{},"operation":"append","sheetName":{"__rl":true,"mode":"list","value":"YOUR_SIGNALS_SHEET_GID","cachedResultUrl":"YOUR_SIGNALS_SHEET_URL","cachedResultName":"signal"},"documentId":{"__rl":true,"mode":"list","value":"YOUR_GOOGLE_SHEET_ID","cachedResultUrl":"YOUR_GOOGLE_SHEET_URL","cachedResultName":"Your Signal Tracking Sheet"}},"typeVersion":4.5},{"id":"a13b13c1-42c3-4f3e-97a5-c61611d51f4e","name":"Post Report to Slack","type":"n8n-nodes-base.slack","position":[2304,528],"webhookId":"f27fc60f-c098-4f14-9086-f702a16bbbcf","parameters":{"text":"={{ $json.report }}","otherOptions":{}},"typeVersion":2.2},{"id":"487352c5-339f-4210-8bb6-8aee9fef77e8","name":"Prepare Themes for Sheet","type":"n8n-nodes-base.code","position":[2304,144],"parameters":{"jsCode":"const data = $input.first().json;\nconst themes = data.themes || [];\n\nif (themes.length === 0) {\n return [{ json: { date: data.date, category: 'No themes', signal_level: '-', theme_strength: 0, item_count: 0, sources: '-', top_keywords: '-' } }];\n}\n\nreturn themes.map(theme => ({\n json: {\n date: data.date,\n category: theme.category,\n signal_level: theme.signal_level,\n theme_strength: theme.theme_strength,\n item_count: theme.item_count,\n sources: theme.sources.join(', '),\n top_keywords: theme.top_keywords.join(', ')\n }\n}));"},"typeVersion":2},{"id":"0c0c570b-35c1-4025-b039-02fbc3bc68e5","name":"Log Themes to Sheet","type":"n8n-nodes-base.googleSheets","position":[2528,144],"parameters":{"columns":{"value":{"date":"={{ $json.date }}","sources":"={{ $json.sources }}","category":"={{ $json.category }}","item_count":"={{ $json.item_count }}","signal_level":"={{ $json.signal_level }}","top_keywords":"={{ $json.top_keywords }}","theme_strength":"={{ $json.theme_strength }}"},"schema":[{"id":"date","type":"string","required":false,"displayName":"date","defaultMatch":false,"canBeUsedToMatch":true},{"id":"category","type":"string","required":false,"displayName":"category","defaultMatch":false,"canBeUsedToMatch":true},{"id":"signal_level","type":"string","required":false,"displayName":"signal_level","defaultMatch":false,"canBeUsedToMatch":true},{"id":"theme_strength","type":"string","required":false,"displayName":"theme_strength","defaultMatch":false,"canBeUsedToMatch":true},{"id":"item_count","type":"string","required":false,"displayName":"item_count","defaultMatch":false,"canBeUsedToMatch":true},{"id":"sources","type":"string","required":false,"displayName":"sources","defaultMatch":false,"canBeUsedToMatch":true},{"id":"top_keywords","type":"string","required":false,"displayName":"top_keywords","defaultMatch":false,"canBeUsedToMatch":true}],"mappingMode":"defineBelow","matchingColumns":[],"attemptToConvertTypes":false,"convertFieldsToString":true},"options":{},"operation":"append","sheetName":{"__rl":true,"mode":"list","value":"YOUR_THEMES_SHEET_GID","cachedResultUrl":"YOUR_THEMES_SHEET_URL","cachedResultName":"themes"},"documentId":{"__rl":true,"mode":"list","value":"YOUR_GOOGLE_SHEET_ID","cachedResultUrl":"YOUR_GOOGLE_SHEET_URL","cachedResultName":"Your Signal Tracking Sheet"}},"typeVersion":4.5},{"id":"677fd5a7-a775-4c41-8250-70795d778306","name":"Email Daily Report","type":"n8n-nodes-base.gmail","position":[2304,720],"webhookId":"200a7c26-5a3f-494d-af9d-f428f5cedf55","parameters":{"sendTo":"user@example.com","message":"={{ $json.report_html }}","options":{},"subject":"=Signal Report — {{ $json.date }} | {{ $json.total_signals }} signals, {{ $json.strong_theme_count }} strong themes"},"typeVersion":2.2},{"id":"6783701c-801b-4908-b97c-04ae73afa864","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[-288,-496],"parameters":{"color":"#80883F","width":680,"height":960,"content":"## Aggregate trend signals to Google Sheets and Slack\n\nThis workflow scans multiple RSS feeds daily, scores each item against configurable keyword groups, clusters them into themes, and delivers a prioritized intelligence report.\n\n## How it works\n1. **Daily trigger** fetches RSS feeds from Hacker News (50+ points) and Product Hunt in parallel\n2. **Merge node** waits for all feeds to complete before proceeding\n3. **RSS parser** extracts and normalizes titles, descriptions, URLs, and dates from all feeds\n4. **Keyword scorer** matches each item against 7 configurable keyword groups (AI, No-Code, SaaS, Dev Tools, Marketing, Pricing, Productivity) with weighted scoring\n5. **Theme aggregator** clusters scored items into themes, calculates theme strength using source diversity and volume bonuses, and classifies as VERY_STRONG / STRONG / MODERATE / WEAK\n6. **Report builder** generates a complete intelligence report (plain text for Slack, HTML for email)\n7. **Outputs** — sends report to Slack + email, logs individual signals and themes to separate Google Sheet tabs\n\n## Setup steps\n1. Connect **Google Sheets OAuth2** credentials and update the Sheet ID in both \"Log Signals to Sheet\" and \"Log Themes to Sheet\" nodes\n2. Create a Google Sheet with two tabs:\n - `signal` — headers: `date`, `title`, `source`, `score`, `category`, `url`\n - `themes` — headers: `date`, `category`, `signal_level`, `theme_strength`, `item_count`, `sources`, `top_keywords`\n3. Connect **Slack OAuth2** credentials and configure the target channel\n4. Connect **Gmail OAuth2** credentials and update the recipient email address\n5. Activate the workflow\n\n## Customization\n- **Add more RSS feeds** — duplicate a feed node, connect it to the Merge node, and add parsing logic in the \"Parse All RSS Feeds\" node\n- **Edit keyword groups** — modify the `keywordGroups` object in the \"Score and Classify Signals\" node to match your industry\n- **Adjust source weights** — change the weight multipliers (Hacker News: 1.5x, Product Hunt: 1.3x) in the parser\n- **Theme thresholds** — modify the strength cutoffs (30/15/8) in the aggregator node\n- **Schedule** — change from daily to hourly or weekly in the trigger node"},"typeVersion":1},{"id":"9b9a6837-a077-4c0c-ad82-ae2cecec182c","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[880,128],"parameters":{"color":"#564343","width":284,"height":164,"content":"## 1. Fetch RSS Feeds\nTrigger fires daily. Hacker News and Product Hunt feeds are fetched in parallel. Merge node waits for both to complete before passing data forward."},"typeVersion":1},{"id":"7f4bab62-2c1e-4b09-b5d0-61de8a8b01f3","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[1408,192],"parameters":{"color":"#564343","width":292,"height":164,"content":"## 2. Parse and Score\nRSS XML is parsed into normalized items. Each item is scored against 7 keyword groups with configurable weights. Title matches get a bonus multiplier."},"typeVersion":1},{"id":"24c55502-0595-4c20-84a2-7aa9189786be","name":"Sticky Note3","type":"n8n-nodes-base.stickyNote","position":[1888,144],"parameters":{"color":"#564343","width":324,"height":196,"content":"## 3. Aggregate Themes and Build Report\nSignals are clustered into themes with strength scores (using source diversity and volume bonuses). A full intelligence report is generated in both plain text and HTML."},"typeVersion":1},{"id":"9805b4b7-5bf6-41f3-a5e0-0023ba8b5025","name":"Sticky Note4","type":"n8n-nodes-base.stickyNote","position":[2352,-80],"parameters":{"color":"#564343","width":308,"height":164,"content":"## 4. Deliver and Log\nReport is posted to Slack and emailed. Individual signals and theme summaries are logged to separate Google Sheet tabs for historical analysis."},"typeVersion":1},{"id":"efedef54-8924-49a0-a487-42594a15fd1e","name":"Sticky Note5","type":"n8n-nodes-base.stickyNote","position":[2480,832],"parameters":{"color":3,"width":340,"height":80,"content":"⚠️ **Update the email address** in this node to your own recipient before activating."},"typeVersion":1},{"id":"5fe3987d-3e12-4165-8e68-6bbc7155d71c","name":"Sticky Note6","type":"n8n-nodes-base.stickyNote","position":[496,656],"parameters":{"color":"#564343","width":388,"height":332,"content":"## Keyword Group Reference\nEdit these in the \"Score and Classify Signals\" node:\n\n| Group | Weight |\n|---|---|\n| AI & Automation | 2.0 |\n| No-Code / Low-Code | 1.8 |\n| Pricing & Monetization | 1.6 |\n| SaaS & Business | 1.5 |\n| Marketing & Growth | 1.4 |\n| Developer Tools | 1.3 |\n| Remote & Productivity | 1.1 |\n\n**Source Weights:**\n- Hacker News: 1.5x\n- Product Hunt: 1.3x"},"typeVersion":1}],"active":false,"pinData":{},"settings":{"binaryMode":"separate","availableInMCP":false,"executionOrder":"v1"},"versionId":"81e0d68c-faac-4d6f-b955-e0a06184a893","connections":{"Wait for All Feeds":{"main":[[{"node":"Parse All RSS Feeds","type":"main","index":0}]]},"Parse All RSS Feeds":{"main":[[{"node":"Score and Classify Signals","type":"main","index":0}]]},"Fetch Hacker News RSS":{"main":[[{"node":"Wait for All Feeds","type":"main","index":0}]]},"Daily Schedule Trigger":{"main":[[{"node":"Fetch Hacker News RSS","type":"main","index":0},{"node":"Fetch Product Hunt RSS","type":"main","index":0}]]},"Fetch Product Hunt RSS":{"main":[[{"node":"Wait for All Feeds","type":"main","index":1}]]},"Prepare Themes for Sheet":{"main":[[{"node":"Log Themes to Sheet","type":"main","index":0}]]},"Build Intelligence Report":{"main":[[{"node":"Flatten Top Signals for Sheet","type":"main","index":0},{"node":"Prepare Themes for Sheet","type":"main","index":0},{"node":"Email Daily Report","type":"main","index":0},{"node":"Post Report to Slack","type":"main","index":0}]]},"Score and Classify Signals":{"main":[[{"node":"Aggregate Signals into Themes","type":"main","index":0}]]},"Aggregate Signals into Themes":{"main":[[{"node":"Build Intelligence Report","type":"main","index":0}]]},"Flatten Top Signals for Sheet":{"main":[[{"node":"Log Signals to Sheet","type":"main","index":0}]]}}},"lastUpdatedBy":1,"workflowInfo":{"nodeCount":21,"nodeTypes":{"n8n-nodes-base.code":{"count":6},"n8n-nodes-base.gmail":{"count":1},"n8n-nodes-base.merge":{"count":1},"n8n-nodes-base.slack":{"count":1},"n8n-nodes-base.stickyNote":{"count":7},"n8n-nodes-base.httpRequest":{"count":2},"n8n-nodes-base.googleSheets":{"count":2},"n8n-nodes-base.scheduleTrigger":{"count":1}}},"status":"published","readyToDemo":null,"user":{"name":"Veena Pandian","username":"veenapandian","bio":"Veena is a GTM Engineer with 6 years of experience in Revenue Operations, specializing in building scalable outbound systems that turn data into pipeline. 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