Share, Research, Rate: Watches & Collections
v7.2 (A.I. Watch & Collection Reviews)
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WatchMetrics takes a data-driven and interactive approach to sharing and grading watches & collections.
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Background:
Watch collecting is a niche hobby in an age where the function of telling time has long been commoditized by quartz technology and is further challenged by the rise of smart watches. However, this rabbit-hole of a hobby has seen a resurgence in the last few years coinciding with the stay-at-home pandemic. Watch marketplaces, review websites / channels, and online forums serving this community have emerged targeting watch collectors and one-time watch buyers.
However, there remains limited content that:
- provides the community with measurable & searchable metrics on watches and watch collections
- is crowd-sourced (rather than based on opinions of select celebrities / watch dealers / content creators)
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Watch Metrics seeks to measure for every watch via a modified ELO scoring system (used in games/sports like Chess):
i) Absolute Preference via Crowd Sourced Ratings (which is the better watch and by how much?) and
ii) Rating Alpha "Value" (is this watch a good deal relative to the price?
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and similarly for watch collections, WatchMetrics seeks to measure the rating for watch collections to arrive at the impact of a well-curated watch collection. What makes for a great collection as deemed by the watch community in aggregate? We shall find out. ​​​​