Hathor is a transactional consensus platform comprised of an entirely novel architecture, based on concepts from both directed acyclic graph (DAG) and blockchain technologies combined. We solve the problems of scalability and decentralization maintenance among distributed ledger networks by including a chain of mined blocks inside a DAG of transactions. The blockchain ensures security when the number of transactions per second is small, whereas the DAG prevails when the number increases significantly.
A highly scalable distributed ledger where transactions can be processed for multiple purposes with no fees will be created through its own network. At the same time, mining rewards in the form of newly generated tokens will enforce a fair distribution of economic and computational resources through decentralization and 99.99% uptime without any form of central coordination. Hathor is the direct result of 7+ years of research from its founding members, throughout which they have been stress-testing its assumptions and alpha versions.
We see scalability as a significant challenge in cryptocurrencies. IOTA made great strides towards scalability, but its solution does not seem to work when the number of transactions per second is small. Hathor’s architecture lies between the ones from Bitcoin and IOTA and presents a solution to scaling, centralization and spam issues.
Thanks to the academic research conducted by Dr. Marcelo Brogliato and published as part of his Ph.D. thesis, we have a detailed analysis of Hathor’s architecture through simulations. The primary result is that it works correctly under any number of transactions per second. The higher the number of transactions per second, the faster new transactions are confirmed.
As in IOTA, new transactions confirm previous ones, forming a DAG. Each transaction has its own proof-of-work which is solved by the issuer before propagating the transactions in the network. As in the case of Bitcoin, miners find new blocks which form a blockchain inside the DAG. Blocks collect newly-generated tokens and confirm all the transactions in the DAG. Each transaction has an accumulated weight which expresses the necessary effort to break the transaction, similar to the number of confirmations in Bitcoin.
Founder & CEO
Entrepreneur with a B.Sc. in Computer Engineering from Military Institute of Engineering and a Ph.D. in Business Administration from Getulio Vargas Foundation – the top think-tank in Latin America – where he studied crypto-assets and artificial intelligence computational models under Professor Alexandre Linhares.
Co-founder & Business Developer
Researcher, Consultant and Professor. 5+ years of experience in the Bitcoin, Blockchain and Smart Contracts local and global ecosystems, with strong skills in Business Model Development, Information Security, Community Management and Teaching. Senior researcher at the Institute for Technology and Society of Rio de Janeiro (ITS) with a Bachelor’s degree focused on Business Administration and Economics from Fundação Getulio Vargas (FGV) and certificates on Innovation, Cryptography, Psychology and Philosophy of Mind from the University of Cambridge, UK.
Co-founder & Head of the Foundation
Ph.D. candidate and researcher on Financial Innovation and Banking at FGV. She has experience with business consulting and firm valuation projects. She also worked in a startup of technology for the electric sector and IoT where she was awarded in innovation competitions in Brazil and the USA.
Co-founder & Lead Engineer
Eric Nichols is a Principal Applied Scientist at Microsoft. He holds a joint Ph.D. in Computer Science and Cognitive Science from Indiana University – where he studied models of computation and emergent cognition under Professor Douglas Hofstadter – and a Graduate Certificate in Quantitative Finance from Stanford. Prior to Microsoft, Dr. Nichols worked at Google Research in multi-modal perception, deep learning, and high-performance computing on internet-of-things devices.
Data Scientist with a Master’s of Science in Administration focusing on Behavior & Decision Making (Fundacao Getulio Vargas). She has experience with Machine Learning, programming, data analytics, business consulting and project management. She is currently based in Seattle working as a Data Scientist for a tech start-up.
Entrepreneur and researcher in Artificial Intelligence, Big Data, and Blockchain. Christian was the founder of the Cortex technology, now a multinational. He holds a Ph.D. in Applied Computational Intelligence by PUC-Rio, a Master in Statistics and Optimization, Electrical Engineer, and Bachelor in Cognitive Psychology. Postdoc in Artificial Intelligence at FGV. Today he is the head of Rede Entropia, the biggest innovation network in Rio de Janeiro.
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