
Overviews
How it works?
Monitor top stories
Track trending posts and stories from Hackernews as they gain popularity. Get notified when specific topics or keywords appear in top-ranked submissions to stay ahead of industry conversations.
Track comment threads
Follow discussions and comment threads on stories that matter to your business. Receive updates when new comments are posted or when specific users engage with particular topics of interest.
Filter by topic
Set up filters to monitor specific technology topics, programming languages, or industry trends. Focus on relevant content by filtering stories based on keywords, submission scores, or comment counts.
Aggregate user activity
Monitor specific Hackernews users and their submissions to track thought leaders and industry experts. Compile activity feeds to identify key contributors and emerging voices in your field.
Export story data
Extract story metadata including titles, URLs, scores, and timestamps for analysis. Build databases of trending topics and popular discussions to inform your content and product strategies.
Schedule content reviews
Set up automated schedules to retrieve and review top stories at specific times. Create daily or weekly digests of the most popular content to share with your team.
Analyze engagement patterns
Track voting patterns and comment activity across different story types and topics. Identify which content resonates most with the Hackernews community to guide your own content creation efforts.
Generate trend reports
Compile data from multiple stories and discussions into comprehensive trend reports. Identify emerging technologies and topics gaining traction within the developer and startup communities.

Configure
Build
Competitive intelligence dashboard
Build a system that monitors competitor mentions and product launches on Hackernews. Combine story tracking with Slack notifications to alert your team when your company or competitors appear in discussions, enabling quick response to community feedback.
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