Current price: 46 Litoshi

Circulating supply: 36,220,523,483

Max supply: 100,000,000,000

Market cap: $799,235

Exchanges: Token Store, STEX, Mercatox

Type: ERC-20, swapping to POS and MN coin

ICO: None

Main Features: Incentivized endorsement based networking for social media platforms using an autonomous d’App system to cultivate mutually beneficial relationships. Expected to disrupt the global HR Industry.


To streamline and incentivise social networking and the HR Industry by allowing individuals to give endorsements similar to online reviews of products. This allows an individual to know up front whether it would be useful to connect with someone and whether they have availability and mutual interests. HR representatives would have a much easier time finding and contacting potential hires through their own network. Individuals could do the same to find potential employers, business partners, investors, or basically anyone they are looking for. Users of this system would be able to get paid and possible earn a living just by networking in this way. Say goodbye to LinkedIn and other HR related online systems. RepMe will make them obsolete.


In short, RepMe is “a blockchain operated management system taking out all of the guesswork, emotional obscurity and time sensitivity of introductions and networking.” Current yearly HR spending is in the trillions, including personnel and technology. The industry in general has been slow to update and streamline its processes and thus is still fairly unchanged from what it was pre- 2010. Current costs for Headhunting ranges from $1-10K per person recruited and can run even higher for top tier personnel. The changes that have occurred in the HR landscape have come mainly from social networking channels, including LinkedIn. These changes are a step in the right direction, but can still be cumbersome due to the “cold call” nature of first contact, even with this method. So far, nobody has attempted to commercialize and revolutionize a solution to this global problem. “ Repme, as in “represent me” is creating a dynamic, user friendly portal that turns every person in your network into a prospect recruiter and pays you BTC, ETH, or RPM tokens simply for the people you know, endorse and recommend.”


Users of RepMe’s smart contract operated decentralised mobile optimised application can view their own network to see what extended contacts they have. Through this network, they can choose to communicate with their own peers or they can incentivise the ability to open up a communication between someone in their network and someone from outside of it. Contact can be incentivized in several ways, including group bounties or precision contact requests between particular individuals or types of individuals, endorsing the people in their network in the process. HR connections are the most obvious use, but the applications are limitless and can include introductions for business opportunities, investments, or even making friends and dating.

Since user profiles contain sensitive personal information, RepMe has devised robust security measures to protect it. These include encryption, global setting protections, two factor authentication, facial recognition and fingerprint identification. In addition, all communications are transmitted using encrypted transport layer security connections. The project is taking smart contract auditing seriously, and they have procured the services of Quantstamp to help them with this endeavor. They are also using internal controls including  performing a coding standard validation as per standardization and performing code reviews incorporating black box test methodology before deployment of these new dapps.

In addition to Headhunting and other HR applications, RepMe is creating a new platform for seeking friends, hobbyist networking and social networking in general and are also developing an innovative new dating app that plugs into their primary dapp. Towards these endeavors, they are exploring the development cost and timeframes for an offchain personality matching engine that can communicate with their dapp and the ethereum platform. By keeping this engine offchain they can reduce the computational power required by the application while maintaining the decentralized user account model. The goal is to overtake market share by delivering a better and more user friendly product than the centralized competition.

RepMe is designing a new machine learning pattern, habit and facial detection data centre using computer simulating neural networks. This functionality will first be utilized for dating applications to better match users based on habits, activities, peers and facial features. The first prototype is being tested using free dating services with the eventual goal to apply it to the headhunting and recruitment functions to disrupt the global HR Industry.


RepMe intends to earn revenue through connection fees, commissions, and permission upgrades. Commissions are paid similarly to what recruiters or freelancers would normally receive, only at 1/10 of the usual cost. Permission upgrades can be paid in a variety of currencies, then are used to pay bonuses to token holders. Users are offered RPM tokens for providing endorsements or facilitating contacts. Users can also make a counter offer requesting other currencies like BTC or ETH as a bonus. The RPM tokens are the ultimate utility that allows HR representatives to streamline their operations and reduce costs. The project has set aside 50B RPM tokens for user profile registrations. Every user account that is registered and ID verified will receive a portion of tokens for free.

On October 17, 2018, RepMe announced a planned future swap to a coin that utilizes Proof-of-stake and Masternodes.  They have also announced a planned schedule of bonus airdrops to ERC-20 token holders that can potentially increase holdings up to 11%. These airdrops begin on November 5th and only apply to users who have their tokens held in an ERC-20 compatible wallet (not on an exchange).

Researched by Brownmoose |

Design by Analyser |

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