From raw comments to a clear signal.

No manual reading, no guesswork. Here's the pipeline that turns the noise of fan chatter into one honest number.

travel_explore
Crawler
Collects fresh public comments
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smart_toy
AI Worker
Sentiment · emotion · topic
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database
Database
Stores + indexes everything
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monitoring
Dashboard
Live scores & reports
01

We aggregate the conversation

Around the clock, FanScanr pulls public fan comments about every Premier League club from across the web. It only fetches what's new each cycle — the back-catalogue stays stored and searchable, so history is never lost or re-scraped.

  • check_circleHourly incremental collection
  • check_circleAll 20 PL clubs covered
  • check_circleHistorical data kept for date-range views
02

AI reads every comment

Each comment runs through language models that score its sentiment (positive / neutral / negative), detect the underlying emotion, and tag its topic — transfers, tactics, the manager, ownership, injuries and more. Repeated phrases are cached so analysis stays fast and consistent.

  • check_circleSentiment + emotion + topic per comment
  • check_circle768-dimension meaning embeddings
  • check_circleCached for speed and consistency
03

You see the pulse

Everything rolls up into a live mood score, sentiment breakdown, trending topics, transfer buzz and a written weekly report — for your club, or the whole league on Gold. Pick any date range and export it.

  • check_circleLive mood + breakdowns
  • check_circleWeekly AI report with charts
  • check_circleExport to PDF · share a link

balanceAn honest signal

Fan comments over-represent the most vocal supporters, so we treat the mood score as a strong signal — not a scientific poll. Every reading shows the comment volume behind it, so you know how much to trust it. More sources and richer filtering are on the roadmap.

Ready to read the room?

Follow your club free and get its live mood in under a minute.

Get Started — it's free