Recently, I’ve seen a lot of people discussing $ACU
. It’s only natural that people care about the price, but I think there’s another question worth paying attention to: beyond the trading market, who is actually using Acurast?
What it aims to do is turn phones distributed across different locations into part of a computing network. Developers submit tasks, the network assigns devices to carry them out, and those who provide computing resources receive incentives according to the rules.
There’s a very straightforward logic behind this.
Only when the network has real demand will people be willing to pay for computing services. Only when devices consistently provide reliable computing power is there reason for them to earn incentives. And mechanisms such as staking and governance further influence participants’ behavior and how the token is used.
So I think that when researching
$ACU
, it’s not enough to look at what the tokenomics model says—we also need to see how much impact these designs have in practice.
For example, is the task volume growing? Do developers keep coming back? Are the rewards device providers receive reasonably connected to their actual contributions?
These are the things I’ll continue to watch.
Of course, even the best mechanisms need time to prove themselves. A token having utility doesn’t mean its price is guaranteed.
Rather than simply hoping for the next market rally, I’d much rather see Acurast’s computing network really get busy.
. It’s only natural that people care about the price, but I think there’s another question worth paying attention to: beyond the trading market, who is actually using Acurast?
What it aims to do is turn phones distributed across different locations into part of a computing network. Developers submit tasks, the network assigns devices to carry them out, and those who provide computing resources receive incentives according to the rules.
There’s a very straightforward logic behind this.
Only when the network has real demand will people be willing to pay for computing services. Only when devices consistently provide reliable computing power is there reason for them to earn incentives. And mechanisms such as staking and governance further influence participants’ behavior and how the token is used.
So I think that when researching
$ACU
, it’s not enough to look at what the tokenomics model says—we also need to see how much impact these designs have in practice.
For example, is the task volume growing? Do developers keep coming back? Are the rewards device providers receive reasonably connected to their actual contributions?
These are the things I’ll continue to watch.
Of course, even the best mechanisms need time to prove themselves. A token having utility doesn’t mean its price is guaranteed.
Rather than simply hoping for the next market rally, I’d much rather see Acurast’s computing network really get busy.