Block 1 - Every Day at 09:00
- Type / Role
- n8n-nodes-base.scheduleTrigger - scheduleTrigger
- Config choices
- Version 1.2
Track daily brand mentions from Hacker News to Slack with GPT-4o-mini sentiment analysis
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Important notice
This workflow is provided as-is. Please review and test before using in production.
1. Workflow Overview
Description Monitor daily brand visibility and reputation with an automated AI powered mention tracker. This workflow checks Hacker News every morning for new stories matching your brand ke...
Best for
- Market Research automation workflows
- AI Summarization automation workflows
- advanced n8n builders looking for reusable templates
Tools used
n8n-nodes-base.scheduletrigger, n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.code, n8n-nodes-base.if, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.memorybufferwindow
Source and attribution
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Rahul Joshi.
Original n8n.io source1.1 Workflow description
- Title
- Track daily brand mentions from Hacker News to Slack with GPT-4o-mini sentiment analysis
- Workflow name
- Track daily brand mentions from Hacker News to Slack with GPT-4o-mini sentiment analysis
📊 Description
Monitor daily brand visibility and reputation with an automated AI-powered mention tracker. 🔍🤖 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 “no mentions today” update instead—ensuring your team is always informed without manual monitoring. Perfect for reputation tracking, competitive intelligence, and early warning alerts. 📈💬
🔁 What This Template Does
1️⃣ Triggers every morning at 09:00 to begin the analysis. ⏰ 2️⃣ Loads brand name + keyword filters from configuration. 🏷️ 3️⃣ Fetches relevant mentions from Hacker News using the Algolia API. 🌐 4️⃣ Normalizes raw API data into clean fields (title, URL, snippet, author, points). 📄 5️⃣ Classifies each mention’s sentiment, stance, topic, and urgency using GPT-4o-mini. 🤖 6️⃣ Builds a ranked daily summary including top 10 mentions and sentiment totals. 📊 7️⃣ Sends the report to Slack, formatted cleanly and ready for team consumption. 💬 8️⃣ If no mentions exist, sends a simple “no new mentions today” message. 🚫 9️⃣ Includes an error handler that notifies Slack of any workflow failures. ⚠️
⭐ Key Benefits
✅ Automatically tracks brand presence without manual searching ✅ AI-powered sentiment & urgency analysis for deeper insights ✅ Clean Slack summaries keep teams aligned and aware ✅ Early detection of negative or high-urgency mentions ✅ Zero manual monitoring — runs fully on schedule ✅ Suitable for brand monitoring, PR, marketing, and leadership teams
🧩 Features
- Daily schedule trigger
- Hacker News API (Algolia) integration
- Structured data normalization
- GPT-4o-mini classification (sentiment, stance, topic, urgency)
- Slack notifications (detailed report or no-mention message)
- Error-handling pipeline with Slack alerts
- Fully configurable brand keywords
🔐 Requirements
- Slack API credentials
- OpenAI API key (GPT-4o-mini)
- No authentication required for Hacker News API
- n8n with LangChain nodes enabled
🎯 Target Audience
- Brand monitoring & PR teams
- AI companies tracking public sentiment
- Founders monitoring mentions of their product
- Marketing teams watching trends & community feedback
1.2 Logical Blocks
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
2. Block-by-Block Analysis
Block 2 - Brand Config
- Type / Role
- n8n-nodes-base.set - set
- Config choices
- Version 3.4
Block 3 - Fetch Reddit Mentions
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.2
Block 4 - Normalize Mentions
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
Block 5 - Mentions Exist?
- Type / Role
- n8n-nodes-base.if - if
- Config choices
- Version 2
Block 6 - Build Daily Summary
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
Block 7 - Send Daily Report to Slack
- Type / Role
- n8n-nodes-base.slack - slack
- Config choices
- Version 2.2
Block 8 - No Mentions Message
- Type / Role
- n8n-nodes-base.set - set
- Config choices
- Version 3.4
Block 9 - Send No Mentions to Slack
- Type / Role
- n8n-nodes-base.slack - slack
- Config choices
- Version 2.2
Block 10 - Checking Score
- Type / Role
- n8n-nodes-base.if - if
- Config choices
- Version 2
Block 11 - OpenAI Chat Model - GPT-4o-mini
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
- Config choices
- Version 1.2
Block 12 - Memory - Conversation Buffer
- Type / Role
- @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
- Config choices
- Version 1.3
Block 13 - Output Parser - Structured JSON
- Type / Role
- @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
- Config choices
- Version 1.3
Block 14 - AI Agent - Classify Mention Sentiments
- Type / Role
- @n8n/n8n-nodes-langchain.agent - agent
- Config choices
- Version 2.1
Block 15 - Format Sentiment Data
- Type / Role
- n8n-nodes-base.set - set
- Config choices
- Version 3.4
Block 16 - Sticky Note
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 17 - Sticky Note1
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 18 - Sticky Note2
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 19 - Sticky Note3
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 20 - Sticky Note4
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 21 - Sticky Note5
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 22 - Sticky Note6
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 23 - Error Handling
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 24 - Error Handler Trigger
- Type / Role
- n8n-nodes-base.errorTrigger - errorTrigger
- Config choices
- Version 1
Showing the first 24 of 25 workflow blocks. Download the JSON for the full node graph.
3. Summary Table
| Workflow | Track daily brand mentions from Hacker News to Slack with GPT-4o-mini sentiment analysis |
|---|---|
| Complexity | advanced |
| Nodes | 25 |
| Categories | Market Research, AI Summarization |
| Author | Rahul Joshi |
| Published | 21 Nov 2025 |
4. Reproducing the Workflow from Scratch
-
1. Download the workflow JSON
Use the JSON export at /data/workflows/11080/11080.json as the source template for this automation.
-
2. Import the template into n8n
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
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3. Configure credentials and variables
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
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4. Test with sample data
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
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5. Activate and monitor
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
5. General Notes & Resources
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Frequently asked questions
What does Track daily brand mentions from Hacker News to Slack with GPT-4o-mini sentiment analysis do?
Description Monitor daily brand visibility and reputation with an automated AI powered mention tracker. This workflow checks Hacker News every morning for new stories matching your brand ke...
What do I need before importing this workflow?
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Can I customize this workflow?
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI Summarization use case.