Use Case

Prediction Models

When you have a foundation that is made up of over 16 million unique pieces, you have a range of opportunities at your disposal with built-in metadata that enhances and moves the project. Using the hexacode itself, for example: "#FF0044" there are a few things we can do right away. Each set of 2 characters represent something. They are not arbitrary values rather, they each tell a part of the story. Using that building block, and adding additional values as needed, you can take machine learning to a new level. In our case we have used the hexacode to describe the individual pieces of our collection in a rudimentary way. This was intentional due to the fact we can't run before we learn to walk. We had to have a solid foundation to enter into something more challenging.

Creation and Generation

Taking the basic fundamentals of our project so far, we can see how the data we have collected can be used in the future to add depth and character to our project on a more meaningful level. With two unique hexacode colors, you can create an additional asset from the two 'parents.'
Let's look at the simplest implementation we know. Taking two unique hexacode colors, in this case "#E32636," and "#6CB4EE," and combining their attributes to create the "child." In this example there is only one additional variable to the main attributes of the colors and that is the "Midpoint." The midpoint is exactly what it sounds like. It is the midpoint between two colors. For the example below, if we were to have chosen 1 midpoint, or just one division of the distance between the two colors, then the child would have been #A86D92. If we had chosen 4, #9C7BA4 and so on. By adding the midpoint to the equation, you get a random generation outcome that is much more diverse than none at all.
(hex1,hex2, midpoints, n)

PVP and Gaming Mechanics

While the applicable uses of this thought process has potentially unlimited potential, we have focused on what is meaningful to us and to our community. By introducing our upcoming entry into the blockchain gaming market, "Hex Gorilla Pixel," we have introduced a whole new dynamic to our project. The use of color as metrics.
Hex Gorilla Pixel - "Swordsman"
With the introduction of Hex Gorilla Pixel we have ushered in a whole new way of creative and challenging web3 application and development. Each "Pixel," will consist of 256x256 pixel squared. That is important in relation to our overall formulaic dissemination. Within that pixel block, the character, or image for that matter will consist of various individual pixels. When we take a look at the possible number of colors that can be generated in this pixel square alone, we get 65,536 possible colors. Far too broad to make a honed and intricate system for a gaming metric. That's ok though because it isn't possible in this case. Considering an image is made up of many colors, and individual elements are made up of the same color in more than one pixel, this limits the scope.
Hex Gorilla Pixel - "Calvary"
Let's look at the example above. In our Hex Gorilla Pixel Calvary mint you can see that there are 10 colors that have been marked with distinction. To the right of that you can see the "Stats Legend" and you can see that there are three individual boxes with unique colors. We have a Red, Green, and Blue box which is representative of the RGB value of all colors. If we go down the color list, we will see the stats for our unit. #6E9FC3 is a blue color based on its intrinsic value, and more importantly the math. When midpoint is applied to any of these colors, it makes a solid connection with one of the three RGB values. It will never be halfway between a red and green for example. It will always be more red than green, or more blue then red. So if we take #6E9FC3 and look at our Stats Legend, we can see that this color has given us, +1 Stamina, +1 Power, and +3 skill. We could do the rest of the colors as well in the exact same fashion, and when we do our unit comes out with a total stats sheet of this:
Hex Gorilla Pixel - "Wizard"