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I can’t name them now by heart, but there are

already more project out there which collect the excess power from devices. They have an advantage in time. What makes Planck different/better to succeed in this area?

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The majority of AI applications are still built in web2.. Really. So to serve web2, we decided to come up with a unique payment solution. API calls and other operations with processing power can be paid in dollars or euros, we use the incoming money to buy tokens off the market to distribute to the miners and keep the buy pressure on the chart while completely serving web2 who don’t want to deal with crypto. This way we can really establish a foothold in web2 and serve them while still ensuring our token functions in the center of our ecosystem and rewards network participants for their compute contributions. Other’s are not focusing on web2 in the way we do. In addition we already have 25,000+ GPUs on the network, this put’s us behind IO.NET as second biggest decentralized compute network for AI in the whole space. We catched up quite nice.

Further, with the first android mining app, and the simplicity obsession in the UX, we expect a great deal of traction from the non-experts

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