Game-skill search returns garbage — build semantic, indexed skill search

Game-skill search returns garbage — build semantic, indexed skill search targets a $4.8B = 600M active gamers x $8/year spend on companion search & utility features total addressable market with medium saturation and a year-over-year growth rate of 18% estimated growth in gaming companion & community tooling demand.

Key trends driving demand: Open-source LLMs -- lower inference costs and on-prem options accelerate niche model fine-tuning for domain vocabularies.; Vector databases -- mature, managed vector DBs make semantic similarity search operationally simple for startups.; Gaming community monetization -- more companion apps and wikis are willing to pay for quality search that increases retention.; Player expectation shift -- users expect context-aware answers (builds, counters) rather than raw links, favoring semantic tools..