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AI & Automation · under review · Radar research lead

YouTube Comment Pain Miner

By AppPortrait Radar · Published

An AI analysis tool that turns YouTube comments into structured pain points, feature requests, and product ideas for creators and founders.

The problem

Public feedback in video comments contains strong demand signals, but manually reading and organizing thousands of comments is slow.

Proposed solution

Ingest a video URL or channel search, summarize repeated complaints, detect phrases like 'I wish' or 'I'd pay for,' and generate categorized opportunity reports.

Target audience

Product researchers, indie hackers, agencies, and content creators

Key features

  • YouTube URL import
  • Comment ingestion and search
  • Complaint clustering
  • Buying-intent phrase detection
  • Sentiment and theme summary
  • Export to CSV/PDF

Monetization strategy

Freemium with paid plans for more videos, more comments, and team workspaces.

Skills to build it

  • YouTube data handling
  • NLP summarization
  • Clustering and sentiment analysis
  • Backend jobs/queues
  • Dashboard UI
  • Payment integration

An idea is a starting point for research. Validate customer demand before building.

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