Watching how ratings move
A star rating is a single number standing in for a history. Rating Recon is an early project about that history — how a rating and its review count changed over time, which is where most of the information actually is.
Why the average is the least useful number
Two products both sitting at 4.3 stars can have arrived there in opposite ways: one drifting down from 4.8 after a revision, the other climbing from 3.6 after a fix. The average hides which. So does the review count, until you know when those reviews landed.
The shape of the curve carries the signal — a step change on a release date, a burst of reviews in a week that resembles no other week, a rating that moves while the product does not.
Where it comes from
This portfolio already runs a crawler for a neighbouring problem — profitpatrol.co tracks the outbound links in YouTube channels and re-checks them over time. Rating Recon was conceived as the same machinery pointed at rating and review signals instead of links, which is the entire reason it is plausible to build at all.
Status
Concept. Nothing is collecting data, there is no account system, and there is nothing to sign up for. This page describes an intention, and says so.