Like the Metaverse, Play-to-Earn (P2E) has mostly retreated from the headlines but I’m sure it is one of those zombie ideas that won’t stay dead for long. The core promise of P2E was that players could - through gameplay and engagement - earn actual real world cash.
As multiplayer games grew in popularity, matchmaking - the backend machinery that decides who plays with whom - became far more noticeable. Back in the old days of lobbies, people more or less randomly piled together to play a game. However, people vary in skill and experience so wouldn’t it make sense to group people of equal skill to play together so that everyone can have a good time and not suffer (or enjoy) pubstomping? To do this, we need two things: first, a process to automatically matchmake people according to various attributes - like skill and latency - and second, a measure of a player’s skill.
A long time ago I saw a presentation by Eric Seufert on Using (Free!) App Annie data to optimize your next game. The idea was to do market research by taking the daily iOS Top Grossing chart positions of games and then do a linear regression of them and so filter down to games that have a positive coefficient over time. It’s really rough but does give some indication about games’ life cycles and potential. One downside is that you only get the chart position when ideally you would want to know the daily player count or daily revenue (although you can get estimates of these if you pay for them).
Fortunately, the Metaverse boom seems to have mostly blown over by now, entirely enclipsed by the AI one. However, in the last five years, metaverse seemed to ride the hype cycle with cryptocurrencies, VR, NFTs, and Fornite and Roblox. The latter were definitely the technology triggers for the hype, the building blocks for the promised evolution of virtual worlds.
Ten years ago, I wrote about The Million Ways to Markup Your Content, where I covered the then main ways (HTML5, Microdata, Microformats, OGP, JSON-LD) to mark up one’s content for the semantic web, or more accurately for the search engines. When I last year moved my blog to Eleventy, I wrote my layouts from scratch and left most of the semantic markup to the floor for a couple of reasons.
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