CanIRun.gg

Can your PC run this game? Detect your hardware via browser APIs and instantly check game compatibility with an S-F grading system.

Live at canirun.gg (temporarily at canirun.chrlss.dev)

Inspired by canirun.ai by midudev.

How it works

1. Detect — WebGL reads your GPU model, Navigator API reads CPU cores and RAM
2. Match — GPU name matched against a database of 114+ GPUs with performance scores
3. Score — Your hardware score compared to each game's recommended requirements
4. Grade — S (overkill) through F (can't run) assigned per game

Grades are weighted: GPU 70%, RAM 30%.

Features

• Hardware auto-detection via browser (GPU, CPU, RAM)
• Manual override dropdowns (114 GPUs, 69 CPUs)
• 1000+ games with parsed system requirements from Steam
• Dynamic search — games not in DB are fetched from Steam on-the-fly
• Grade system: S / A / B / C / D / F
• Coming Soon section for upcoming releases
• Genre and grade filters
• Game detail pages with component-by-component comparison
• Daily cron updates player counts and discovers new games
• Selections persist in localStorage across pages
• Full SEO: JSON-LD, Open Graph, sitemap, canonical URLs

Tech Stack

Setup

# Install dependencies
bun install

# Set up environment
cp .env.example .env
# Edit .env with your PostgreSQL connection string

# Run database migration
bunx drizzle-kit push

# Seed benchmark data
bun run scraper/seed-gpu-benchmarks.ts
bun run scraper/seed-cpu-benchmarks.ts

# Seed initial game data (top 100 from Steam)
bun run scraper/seed-games.ts 100

# Start API server
bun run server/index.ts

# Build static site
bun run build

# Dev mode
bun run dev

Project Structure

src/
  layouts/Base.astro          # HTML shell, SEO, meta tags
  pages/
    index.astro               # Home: hardware detection + game list
    game/[slug].astro         # Game detail with requirements comparison
    why.astro                 # How it works
    privacy.astro             # Privacy policy
  components/
    HardwareDetector.svelte   # GPU/CPU/RAM detection + manual selects
    GameCard.astro            # Game row in list
  lib/
    detect-hardware.ts        # Browser hardware detection
    grading.ts                # S-F grade algorithm
server/
  index.ts                    # Bun API server (port 3800)
  schema.ts                   # Drizzle ORM schema
  db.ts                       # Database connection
scraper/
  steam-api.ts                # Steam API wrapper with rate limiting
  parse-requirements.ts       # HTML requirements parser
  seed-games.ts               # Initial game data seeder
  daily-update.ts             # Daily cron job
data/
  gpu-benchmarks.json         # 114 GPUs with scores
  cpu-benchmarks.json         # 69 CPUs with scores

License

MIT

Author

Christian Rojas (@chrlss11)