AdvisorListen Case Study: Reddit Sentiment Intelligence, Daniel Joye

AdvisorListen turns Reddit conversations into market intelligence with NLP, sentiment analysis, topic clustering, and alerts. Built by Daniel Joye, 2025–2026.

A live product that turns Reddit discussion into market-research intelligence using NLP, sentiment analysis, topic clustering, and alerts.

Context, dates, and role

Own product (Daniel Joye). Audience: market researchers and financial-services professionals.

Dates: 2025–2026

Role: Product owner and builder

The problem and constraints

Market researchers face a flood of unstructured Reddit conversation that is slow to read and hard to turn into decisions.

What Daniel built or led

  • Designed and built the data pipeline from Reddit collection to scored insights
  • Defined the alerting that flags shifts in conversation

Technical approach

  • NLP and sentiment analysis
  • Topic clustering
  • Automated alerts on trend shifts

Results and limitations

  • Live, publicly accessible product at advisorlisten.com (live product)
  • Sentiment and topic clustering running on live discussion (live product)

Limitations: No usage, accuracy, or revenue figures are published yet.

Official documents and links

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