📊 Automate product Hunt discovery with Airtop and Slack

⚡ 1,247 views · 📊 Market Research & Insights

💡 Pro Tip — For competitive intelligence, ScraperNode can automate the data collection — Yelp reviews, Glassdoor company data, and Crunchbase profiles all return structured JSON you can feed straight into this workflow.

Description

About The Product Hunt Automation

Staying up-to-date with specific topics and launches on Product Hunt can be time-consuming. Manually checking the site multiple times a day interrupts your workflow and risks missing important launches. What if you could automatically get relevant launches delivered to your Slack workspace?

How to Monitor Product Hunt

In this guide, you’ll learn how to create a Product Hunt monitoring system using Airtop’s built-in node in n8n. This automation will scan Product Hunt for your chosen topics and deliver the most relevant launches directly to Slack.

What You’ll Need

• A free Airtop API key
• A Slack workspace with permissions to add incoming webhooks
• Estimated setup time: 5 minutes

Understanding the Process

The Monitor Product Hunt automation uses Airtop’s cloud browser capabilities to access Product Hunt and extract launch information. Here’s what happens:

• Airtop visits Product Hunt and navigates the page
• It searches for and extracts up to 5 launches related to your chosen topic
• The information is formatted and sent to your specified Slack channel

This process can run on your preferred schedule, ensuring you never miss relevant launches.

image.png

Setting Up Your Automation

We’ve created a ready-to-use template that handles all the complex parts. Here’s how to get started:

• Connect your Airtop account by adding the API key you created
• Connect your Slack account
• Set your prompt in the Airtop node. For this example, we’ve set it to be “Extract up to 5 launches related to AI products”
• Choose your preferred monitoring schedule.

Customization Options

While our template works immediately, you might want to customize it for your specific needs:

• Adjust the prompt and the maximum number of launches to monitor
• Customize the Slack message format
• Change the monitoring frequency
• Add filters for particular keywords or companies

Real-World Applications

Here’s how teams can use this automation:

• A startup’s engineering team could track trends in other product’s tech stack, helping them stay informed about potential issues and improvements.

• A product manager can track launches of competitor products, enabling them to gather valuable market insights and user feedback directly from the tech community on that launch.

Best Practices

To get the most out of this automation:

• Choose Specific Search Terms: For more relevant results, instead of broad terms like “AI,” use specific phrases like “machine learning for healthcare”
• Optimize Scheduling: When setting the monitoring frequency, consider your team’s workflow. Running the scenario every 4 hours during working hours often provides a good balance between staying updated and avoiding notification fatigue.
• Set Up Error Handling: Enable n8n’s error output to alert you if the automation encounters any issues with accessing Product Hunt or sending messages to Slack.
• Regular Topic Review: Schedule a monthly review of your monitored topics to ensure they’re still relevant to your needs and adjust as necessary.

What’s Next?

Now that you’ve set up your Product Hunt monitor automation, you might be interested in:

• Creating a similar monitor for other tech websites
• Setting up automated content curation for your team’s newsletter
• Building a competitive intelligence dashboard using web monitoring

Happy Automating!

🔗 Nodes Used

Slack, Schedule Trigger, Airtop

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup