Resource Calculator

Resource Calculator helps players determine the exact raw materials needed to craft anything in dozens of video games. Achieved rank 1 on Google for multiple relevant search terms through optimization and SEO. Handles over 1000 daily users with 90% faster page loads.

• Decreased page load times by 90% using a Regex-based job scheduler in Python to compile static versions without sacrificing modular design.
• Invented a domain-specific TypeScript constraint solver efficient enough to run primary calculations on users' local machines.
• Decreased page size by over 60% through HTML, CSS, JavaScript minification, gzip compression, and lossy image optimization with pngquant and ImageMagick.
• Achieved rank 1 on Google search for multiple relevant search terms using SEO techniques.

Constraint Solver Architecture

The domain-specific constraint solver runs efficiently on the client side:

interface ConstraintSolver {
  solve(formula: Formula, constraints: Constraints): Solution[];
  optimize(solutions: Solution[], criteria: OptimizationCriteria): Solution;
}

Static Site Generation Pipeline

The Python-based job scheduler compiles static versions:

• Regex-based parsing: Extract and validate recipe data
• Parallel processing: Compile multiple games simultaneously
• Incremental builds: Only rebuild changed content
• Cache invalidation: Smart cache expiration strategies

Web Performance Optimization

Multi-layer optimization approach:

Technique	Impact	Description
Minification	15-20%	HTML, CSS, JavaScript compression
Gzip	20-25%	Server-side compression
Brotli	10-15%	Modern compression algorithm
Lossy image	20-30%	pngquant and ImageMagick optimization
Static caching	90% reducing load	Browser and CDN caching

SEO Strategy

Achieved top rankings through:

• Content structure: Clear, hierarchical organization
• Schema markup: Rich result support for search engines
• Performance signals: Core Web Vitals optimization
• Semantic URLs: Human-readable URL structure