Three of my most technically complex projects are game-tech: Deadlock Labs, Last Flag Wiki, and Tap Tap Loot Wiki. I understand what gaming communities need - real-time data, massive scale, zero downtime.
Game-tech projects have different requirements than standard web apps: high concurrent user counts during tournaments, real-time data updates, large volumes of match replay data, and API schemas that change with every patch.
My approach: PostgreSQL for structured match data with carefully chosen indexes, Redis as a caching layer for hot data (leaderboards, current hero stats), and SSE/WebSockets for live connections. Next.js Server Components minimize JavaScript payload on the client - critical when users are on mobile data at gaming cafes.
Many game analytics solutions are hobby projects that collapse under load. Deadlock Labs is built to a different standard: production-grade infrastructure, monitoring, fault-tolerant API ingestion, and zero-downtime deployments.
Game wikis are built with content-collections and MDX - a workflow that lets a non-technical editor update content without touching code, while the output is statically generated and ranks well on Google.
Live API integration, match database, leaderboards, player stats. Production-grade, scalable.
MDX-based, fast SSG builds, custom editors, SEO-optimized. Like Liquipedia, but custom.
Real-time data via WebSockets/SSE, Redis caching, fast UI. For players who love data.
Mobile and web apps consuming game APIs. Builds, guides, trackers, meta tools.
