7 Billion Humans

by Tomorrow Corporation

The Developer Says...

Automate swarms of office workers to solve puzzles inside your very own parallel computer made of people. A thrilling followup to the award winning Human Resource Machine. Now with more humans!

Players Like...

❤ Gameplay Concept

This puzzler simulates programming by controlling multiple workers simultaneously. Unlike its predecessor's single-worker approach, the game introduces parallel processing where workers execute commands in perfect synchronization. Players drag and drop visual programming commands to solve increasingly complex challenges.

❤ Programming Mechanics

The interface uses a drag-and-drop system with unique features: Advanced programming language with nuanced command structures, configurable IF/ELSE statements that compare tiles, workers, and variables, specialized commands like ForEachDir that automatically check surrounding tiles, and ability to create complex algorithmic solutions with minimal code.

❤ Difficulty Progression

Players encounter a carefully crafted difficulty curve: Initial levels teach basic movement and simple logic, mid-game challenges introduce synchronization problems, advanced stages demand intricate multi-worker coordination, and optional optimization challenges push players to minimize code length or execution time.

❤ Puzzle Design Highlights

Most levels offer multiple solution paths, requires creative, computational thinking, introduces complex programming concepts through playful challenges, and gradually teaches problem-solving strategies.

❤ Unique Gameplay Characteristics

Workers move in perfect lockstep, solutions can succeed with 50% reliability in some challenges, randomness adds unpredictable complexity, and demands precise, computer-like instruction execution.

❤ Target Audience

Attracts logical puzzle enthusiasts, aspiring programmers, professional developers seeking mental challenges, and anyone interested in algorithmic problem-solving.

❤ Learning Potential

Players learn parallel processing principles, algorithmic thinking, computational logic, and strategic problem decomposition.

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