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.