Beltmatic

Beltmatic presents a mathematical automation system where numbers act as resources and conveyor belts determine how they move through each stage of the process. The player begins with a flat map populated by nodes that generate base values, each waiting to be connected to an operation. The objective of each level is to assemble a network capable of transforming these numbers into a required target value. This approach shifts the focus from traditional material factories to abstract arithmetic systems expressed through spatial design.

Building Structures and Directing Flow

In Beltmatic the core interaction involves placing extractor nodes, constructing operator buildings and arranging belts that allow numbers to travel between them. A number enters a building, undergoes a specific transformation and exits on a conveyor that leads toward the next step. The challenge comes from aligning paths efficiently, ensuring consistent throughput and avoiding unnecessary loops. Because the game encourages clean design, players must consider every tile when constructing their mathematical pathways.

Core Mechanics and Logical Progression

The main mechanics in Beltmatic include:

·         Extracting base numbers from specific locations on the map

·         Using arithmetic buildings that apply single-step transformations

·         Designing conveyor routes that connect each operation logically

·         Expanding or modifying systems to reach higher numerical goals

Together, these mechanics create a loop driven by experimentation and incremental optimisation. Even simple equations require thoughtful placement, especially when multiple operations must interact in sequence.

Scaling Complexity and Spatial Constraints

As Beltmatic progresses, the numbers required for completion grow larger and operations become more demanding. Some maps introduce limited building space, forcing players to reorganise or compress their conveyor paths. Others require generating multiple large values simultaneously, which may challenge earlier assumptions about layout. Achieving the correct output often means redesigning entire sections of the factory, adjusting timing or rethinking the order of operations. Through this process, the player gains an intuitive understanding of how numerical flows behave in constrained environments.