The Metrics that may be used to describe success of the Fabric Network.

The first thing that people tend to monitor when a new network is launched is the token price. It moves fast. It’s visible. It’s easy to track. Price hardly ever tells the whole story. When @FabricFND is in the process of developing something significantly bigger than a typical crypto protocol, the actual indicators of success are likely to appear in different forms. They will be a product of the action that occurs within the network. Fabric is created to be a layer of infrastructure upon which robots and intelligent machines can carry identities, coordinate, and transfer value in the form of an on-chain system, which is powered by the $ROBO token. That is, the speculation metrics will not be the most significant ones. They will be usage metrics. The number of machines connected to the network would be one of the most obvious ones. In case robots are expected to act as economic actors, they must be given identities on the system first. An increasing registered machine identity would imply that Fabric is becoming a practical layer of coordination among physical devices and not an abstract protocol. The number of tasks which were performed via the network would be another crucial measure. The concept behind the design of Fabric is machines having work done and being rewarded through an on-chain program associated with verifiable activity. The larger the number of tasks carried out, the greater the testimony to the reality that the network is in actual operation, and not a dormant infrastructure. Something related intimately closely with that is machine-to-machine transaction traffic. Fabric comes up with the concept that robots might carry wallets and might be able to pay up for services like data, compute, charging or even physical assistance by other machines. When such interactions start manifesting in a regular on-chain way, they would be a novice of its own. Machines paying the economic activity to other machines. The other measure that might be significant is that of developer participation. Networks of infrastructure are more likely to expand using the tools and applications that people develop on the foundation of infrastructure networks. In the event of developers beginning to create robotic services, coordination systems, or data markets on Fabric, the network may become a full ecosystem instead of a single protocol. There could also be token utility that indicates whether the network is working as it should. The $ROBO token will process payments, governance participation and coordination incentives on the system. The economic layer would not have reached maturity yet, in case speculation is the major contributor to token activity. However in case token usage starts to correspond to real activity of the machine, then this would be a better indication that the system is operating. And then there is the bigger measure that may be important as time changes. Real-world integration. The vision of Fabric is based on the provision of connection between the digital infrastructure and real robotics systems. When warehouse robots, logistics networks, delivery systems, or industrial settings start communicating with the network, then it would mean that Fabric already goes beyond theory and can be seen as a real-life economic coordination. At the beginning stages, these signs are likely to be slow. A few machines here. There are some automated transactions. Perhaps a few developers trying robotic services. New infrastructure networks do not usually commence on a large scale. They tend to start with small quantifiable indications, which build up. In case Fabric is successful, the measures which will determine its advancement might be different than what people anticipate. They will not be measuring speculation or volume of trading. Something much more bizarre they will gauge. The development of a network, in which machines themselves are emerging as players in an economy. #ROBO