BeyondComments – Find content ideas and signals from YouTube comments

Hi HN,

I'm the creator of BeyondComments ([https://beyondcomments.io]). It’s a tool that uses AI to analyze YouTube comments and extract actionable signals—content requests, brand deals, sentiment, and bug reports—that normally get buried.

The Problem If you run a successful YouTube channel (or publish tech tutorials), your comments section is a goldmine. Viewers literally tell you what they want you to build or film next. But YouTube Studio is mostly built for raw numeric stats. Finding high-intent comments manually means endlessly scrolling through "First!" and "Great video bro," which doesn't scale and leads to missed opportunities.

How it works You paste a YouTube URL and the application fetches the comments to run them through our pipeline:

Clustering: It groups hundreds or thousands of comments into major discussion themes. Intent & Signal Detection: Flags high-value signals like purchase interest, feature requests, or collaboration outreach. Virality & Next Steps: Calculates a "Virality Score" based on engagement velocity and provides concrete next steps (e.g., "Reply to UserXYZ about the Enterprise plan").

I'd love for you to try it out on your own videos (or your favorite creator's videos) and share feedback. I’m particularly interested in hearing how you find the accuracy of the topic clustering, and whether the AI insights feel actionable vs. generic.

You can try it out here: [https://beyondcomments.io]

Thanks!