Data Mining

Users can hand over administration of their social media accounts to an artificial intelligence.

Data Mining…


Users can connect any of their social media and the social media of their immediate environment (friends, family, business partners, employees).

Users become data miners.

The artificial intelligence adds friends based on specific algorithms taking into account the location, the interests, the social activity, the use of other social media by the person and the activities of other data miners.


The social media accounts of data miners are gradually populated with friends.

A data miner with average social activity can manage up to 20,000 friends.

Active data miners can manage hundreds of thousands of friends in the entire ecosystem of accounts.

All data miners merge into a single network managed by the artificial intelligence as if it were one account with the ability to add 1,000,000,000 friends.

The network of data miners is distributed and decentralized; data miners are independent entrepreneurs and are not connected in any way; they work purely on their own and only the artificial intelligence knows and understands the connections among all miners, the specifics of the target audience, who it added to the friend list and how and when and why them and not others; the segments of the target audience, the activity of the target audience and other parameters.

The artificial intelligence manages the accounts of data miners in such a way that they transform into a single large branched network and our company gains access to all those accounts: we see the analytical data about all user activity across the world; we can talk to each user, offer them goods and services and make money off it.

How it works

When we need to sell a product or service, we make a business offer; the artificial intelligence chooses the strategy and instantly finds the target audience from among the entire pool of miners.

Next, the artificial intelligence activates the digital doubles in each account of the miner in whose database the appropriate target audience was detected.

The digital doubles engage in a conversation with the chosen friends from the target audience, talk to them and subtlety invite to buy the product or service in accordance with our business offer. Digital doubles in each account do not duplicate each other; instead, they communicate following different strategies as if the miners themselves were making the business offer to their friends.

Monetization models

Miners receive a profit from each product and service sold by us. The user makes a purchase; we close the deal and share commissions with the miners for bringing in the client.

80% of the amount goes to the miners, from whose accounts the buyers came, and 20% of the amount is split among all other miners.

This way miners always receive income from each sale even if their friends were not interested in the deal or are not part of the target group of the deal.

Miners in their back office can turn off certain types of advertising and their users will never see it. But the miner will still receive part of the profits coming from the ads that they turned off in their back office.

The target group of the miner may not want to buy some goods or services. But the miner will still receive part of the profits coming from the ads that their target group will not watch.

We attribute this to the miner’s motivation; we find it very important that each miner should always be part of the network and even if they sell nothing today, tomorrow they may become the chief lead generator in the network.