ScanLocus is a spatial puzzle game where you play as a radar diagnostic specialist navigating through signal noise and electromagnetic interference. Your mission is to detect hidden targets across a dynamic radar grid using limited energy pulses.
Core Gameplay:
- Scan radar grids ranging from 5x6 to 8x8 cells in size
- Draw energy beam paths across the grid to detect hidden target signals
- Avoid black hole obstacles that disrupt and terminate your scan
- Manage limited scan attempts per mission
- Energy attenuation adds strategic depth—longer paths reduce detection accuracy
Game Modes:
- Classic Mode: Progress through 80 uniquely designed levels with increasing complexity. Each level introduces new grid layouts, target counts, and obstacle patterns built on logical Manhattan-distance clustering ensuring every puzzle has a solvable path.
- Extreme Mode: Face 5 daily procedurally generated challenges. These high-difficulty maps feature multiple seemingly valid paths, testing your spatial reasoning to its limits.
Features:
- Grid-based touch or drag controls for precise path drawing
- Real-time visual feedback with red flash on target detection
- Cyberpunk-inspired visual design with high-contrast radar display
- Sky Archive collection system that unlocks environmental lore for each level
- Adjustable haptic feedback, audio signals, and tutorial hints
- No internet connection required, no ads, no data collection
As you advance beyond level 15, moving targets appear that shift positions within short time windows, requiring rapid adaptation and predictive planning. Later levels introduce dynamic map variations that break conventional scanning patterns.
The game's visual aesthetic combines deep blue gradients, cyan radar grid lines, and subtle glow effects to create an immersive signal-monitoring atmosphere. Minimalist sound design features filtered electronic tones that complement the focused puzzle experience without distraction.
ScanLocus is designed for players who enjoy methodical puzzle-solving, spatial reasoning challenges, and satisfaction of optimizing limited resources against complex grid configurations. Every level is beatable through careful planning rather than luck.