Moreisfuture’s feedback on the new resource model

dashan yao
2 min readSep 25, 2020

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Last December, Block.One released the new EOS resource model and invited the community to test it out. We’ve been involved in the EOS ecosystem business as an alternative node, and we’ve had in-depth discussions about the new resource model with our users, and those around us who care about EOS. We have spent some time aggregating all the relevant links and resources, but it is not clear what will happen after the real deployment, and we would like to share our opinions below. We’d like to share our comments below. We also want to note that we don’t think we know any more about the technical feedback than other nodes do, so we’d like to share some of our concerns.

Development progress
As you know, it’s been 9 months since this resource model was proposed and currently tested, and I understand the complexity, but it’s really not efficient enough, most of all because there’s no timeline for the ecosystem to eventually migrate to the newly proposed rental market after that, and we’re not sure how much time it will take. So this is my first feedback, once confirmed, to accelerate the implementation of this new resource model

DEFI market
The DEFI market has been growing very fast recently, with projects such as Box on EOS attracting a lot of EOS collateral, and we can see investor enthusiasm for liquidity mining, and we can foresee that the new resource models will certainly not be very profitable. Can we learn from liquidity mining, which will attract more investors to put their tokens into us.

Lease Cycle
On the issue of the 30 day rental period, I’ve seen a lot of feedback that it’s too long, and we don’t think it’s reasonable for users who have very few transactions. This will accelerate their flight from this rental market. Hopefully there will be an adjustment here.

Developer (of a project)
Finally, there’s the fact that as a decentralized leasing platform and as a startup in the EOS ecosystem, we’re going to have an increasing need for CPU/NET and we’re looking forward to quickly rolling out new resource models that will reduce our costs!

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