GigaSlop: Compute Tycoon

Factorio meets Software Inc., wrapped in a satirical sim of the AI slop economy. Start with a budget PC in your bedroom generating $0.40/day of AI spam videos; end up draining the county grid to feed slop-generation clusters.

Stack: TypeScript + Vite + PixiJS v8. The simulation (src/sim/) is a deterministic fixed-tick (10 Hz) module with zero renderer dependencies — the Pixi layer (src/render/) and DOM HUD (src/ui/) just read state.

Run

npm install
npm run dev   # http://localhost:5173

Play (Tier 1 slice)

• You start with a PC, desk, and router. Press W, click the PC, then the router to wire them — slop production starts.
• Watch the breaker (1400 W bedroom circuit): trip it and your training checkpoint corrupts.
• Heat is spatial. Hot PCs throttle at 85°C; fans spread heat around, the window AC deletes it.
• Uplink caps monetizable tokens — saturated cables mean dropped slop.
• The TRAIN/INFER slider trades cash now (inference → videos → ad revenue) for model tiers later (higher revenue multipliers).

Art pipeline

All art is generated on the local MODELBEAST farm (tools/mb_gen.py): FLUX for the room shell + hardware sprites (bg-removed, autocropped), and the in-game slop thumbnails are genuine SD/FLUX slop — the game about AI slop is made of actual AI slop. Titles baked to src/data/sloptitles.json.

Layout

src/sim/      balance.ts (all tunables) · catalog.ts (hardware defs)
              state.ts · sim.ts (step, place/wire/sell commands)
src/render/   iso.ts (grid↔screen mapping) · scene.ts (Pixi world)
src/ui/       hud.ts + hud.css (DOM dashboards, shop, SlopTube feed)
tools/        mb_gen.py (MODELBEAST batch art generation)