Cloud Computing

Hypernet is a 3rd generation protocol for large scale distributed computing.

Hypernet ICO Review

Current cloud computing solutions suffer from big drawback – massive centralization. Such solutions cannot scale easily, offer costly plans and are most importantly very dangerous when you consider that all data is controlled by the hands of a few key players. New edge computing model has various improvements like better data privacy, autonomous decision making, lower data transport and processing costs, etc. The problem is – current implementations are still very limited to specific subset of tasks, rendering being the most used example. This is where Hypernet comes into play, they are proposing solution which will address all of the above mentioned problems.

Hypernet is developing a protocol for aggregating distributed computing power across the globe via blockchain scheduler and stochastically analyzing distributed data in a parallel manner. This is made possible with the help of their proprietary Distributed Average Consensus (DAC) programming model. Third chain in their blockchain (pun intended) features flexible docking environment which prevents malicious usages through isolating resources dedicated to specific device. Think about it as a sandbox environment for running applications. Their technical stack is robust enough so that bandwidth constraints and so called peer-dropouts are not an issue. Programming model used is fully fault-tolerant.

The features of their main element – DAC which is responsible for parallelization of computing tasks across multiple connected nodes include:

  • Robustness: formal guarantee on the convergence to an optimal solution is included with every task.
  • Algorithmic efficiency: DAC offers the same algorithmic efficiency as centralized servers. The communication complexity is not determined by the size of the network but by the precision that is required by the calculation which means it is very scalable by design. End result is about 30-50% discount in the computing costs when compared to industry incumbents.
  • Variety of possible usages: DAC can be used to solve wide spectrum of computing problems which can be parallelized. Technical details of various examples can be found in their whitepaper.

It is important to note that their computational model preserves privacy since it enables even complex computation on devices where data was generated or originated from.

Token metrics and crowdsale dates are unknown at this point, review will be updated as new info becomes available.

Token usage

While altruistic projects like SETI@Home and Folding@Home have no problem gathering seizable group of individuals donating their computational resources for their specific scientific purposes, other projects with different use cases aren’t so lucky. This is where Hypertokens come into play, they will be fueling the Hypernet protocol and will incentivize users to make their computing resources available for projects that need it in a scalable and cost efficient way.

Hypertokens will be the only currency accepted by Hypernet protocol, other usages include:

  • Reaching consensus: any major Hypernet protocol changes will be subject to voting. The more tokens you have the more weight your vote holds
  • Collateral: both seller and buyers of computational power will be required to stake tokens in the proportion of their task. This will make the system trustless and limit the damage that can be done by malicious users. Collateral will also be used for entering computational pool which is designed for meeting demands during peak hours. If another supplier detects that your node is not available you will lose your collateral. However, if your node is playing by the rules you will be awarded Hypertokens proportional to your individual contribution to the computational pool.

The state of Hypernet partnerships will be disclosed in the coming weeks. But we were told that they do have a good mix of corporate and academic partners. Investors side is also well covered, their initial seed rounds are all fully subscribed.


We have already explained how Hypernet works so you should have a solid idea of its foundations and how it differs from its competitors mentioned below.

Traditional competitors like Amazon Web Services and Microsoft Azure can’t compete with Hypernet decentralized solution in terms of price and privacy features. Hypernet outperforms them in both aspects. In terms of adoption and user friendliness traditional solutions have an edge that new players like Hypernet need to overcome. Time will tell if they will succeed. It’s hard to compare technical aspects since Hypernet is in MVP phase and doesn’t have usage in real world applications yet, but the future looks bright.

In the blockchain space, Hypernet has many competitors which include well known projects like Golem and iExec and other projects which are mostly flying under the radar like Sonm and XEL. The main difference between them and Hypernet is that each one of those is focused on solving specific issues through grid computing while Hypernet is trying to offer a universal computational model which could be used for solving currently unsolvable problems. The exception to this seems to be XEL, they have similar goals as Hypernet but they plan to reach them in different ways through their own specific variations of blockchain technology. For more possible insights you can check Hypernet’s blog post where they discuss various competitors.

Competitors median market cap: $110,000,000
33364   2502   594   305
Hype tools used:

Extremely large amount of telegram members (over 33k) looks strange considering low chat activity and the fact that they never had any bounties or airdrop. There are around 30 messages posted per day for the past few days, good thing is that those messages tend to be of high quality and discuss various project details that members are interested about. It’s hard to tell what is the reason for such low telegram activity but I think its connected to football world cup craze that has been going on for the past month and general crypto market conditions. Their SEO and various media coverage seems to have done the trick in attracting lots of users, now they only need to find a way how to keep these members interested and keep building the hype.

Hard cap

Bonus details should be disclosed soon along with the crowdsale metrics.

Token distribution


Allocation of funds



Hypernet has a team with a very strong educational background, most of them with a degree from Stanford University and a couple with a Ph.D. All of the team members have a lot of experience in their respective fields of work. Fun fact: according to the Forbes, one of the co-founders, Daniel Maren, is considered to be a member of “The Stanford Bitcoin Mafia”.

Ivan Ravlich | Founder & CEO | Ph.D. from Stanford University. He worked at LanzaTech as a chemical engineering intern. That was followed up by him working as a materials science researcher at the University of Auckland. For a short period of time he worked at Ad Astra Rocket Company as a plasma physics and rock science researcher.

Todd Chapman | CTO | Ph.D. from Stanford University. Along with being CTO at Hypernet, he is also currently working at Farhat Research Group as a graduate research assistant.

Daniel Maren | Co-Founder | Attended Stanford University. Previously he worked at Dwight School as a president of the institute for Civic group. After that he was a co-founder of weJAYA and Dfly Systems. At SunPower Corporation he first worked as a manager and then as an advisor.

Ashley Scorpio | CMO | Bachelors from Carleton University. She has a lot of experience working at the Parliament of Canada as parliament assistant and executive assistant. After that she was a community manager for the Conservative Party of Canada. That was followed up by her work for Wpromote, working as a social media manager and head of partnerships.

Christopher Hansen | Technical Lead | Masters from Stanford University. He worked at Microsoft as a high school intern. At Twitter he worked as a software engineer intern and right after that he worked for Facebook, as a software engineer intern and later as a hardware engineer intern. That was followed up by his work for NVIDIA as a digital verification engineer.

Samy Biyadi | Manager | Masters from École Polytechnique. Previously he worked for SATIE Lab & EDF as a research intern. That was followed up by his work at TOTAL where he was on a position of a venture capital analyst. At SunPower Corporation he worked as a corporate developer analyst. He returned to TOTAL as an investment manager. Before his managing position at Hypernet he worked at AutoGrid as board observer.

Jake Leih | Sr. Director of Marketing | Masters from Stanford University. At Stanford University he also worked as a teaching assistant. His longest experience is working at Honest Tutor as a founder and content developer. Before his work at Hypernet, he was a professor of marketing and communications at Evergreen Valley College.

Grant Webster | Product | Attended Thomas Edison State College. He worked at Character Training Institute as an executive assistant. After that, he was a co-founder of Zip Campaign. Along with working for Hypernet, he currently works as a founder of Launch Though LLC.

Anastasios Angelopoulos | Engineer | Bachelors from Stanford University. He worked as an instructor at American Kenpo Karate. As a software engineer intern he started working for Golden Eye Bionics, LLC. At Keck School of Modern Medicine of the University of Southern California he worked as a project manager.


Hypernet currently has only 3 advisors. They are all specialists in their fields and have plenty of experience but only one of the advisors is versed in blockchain technology and actively advises ICO projects.

Randall Kaplan | Bachelors from the University of Michigan. Also, attended Northwestern University School of Law. He was a managing director and assistant to the chairman at SunAmerica Inc. After that he co-founded Akamai Technologies. Currently he is working at a few positions. As a CEO of CollarCard, founder and managing partner at JUMP Investors, CEO at Sandee and he is a member of board of advisors at EDO Inc. From his LinkedIn profile, we see no blockchain experience.

Tony Reeves | Bachelors from Menlo College. Masters from Claremont Graduate University. For 12 years he worked at TRW in finance. Currently he is working at Experian as a CFO. He is considered an expert in finances, business planning and risk management.

Joseph Urgo | Their only advisor who is experienced in blockchain technology. He works as a CEO of Sourcerers, a consulting firm for Ethereum-based projects. Also, he is a co-founder of district0x, a network of decentralized marketplace and communities powered by Ethereum, Aragon and IPFS. Besides Hypernet, he advises a lot of projects, such as: Dist Protocol, Bloom Protocol, LQDEX, Keep Network, ACX Network, Witnet Foundation, Abacus Protocol, Nebula Genomics, Fabric Ventures, SpankChain, Republic.co and Status.im.

Hypernet has a technical roadmap according to which, all the technical products should be completed till the end of 2018. For Q1 they completed issuing contracts, seller filter, p2p layer and topology layer. Currently they are testing allocation and consensus protocol and that should be finished by the end of August. In the end of July/beginning of August they should have MVP ready. After that, the only thing to finish till the end of the year is whitelisted libraries, supporting functions and with that their MVP should be fully completed.

Project phase

MVP which includes two demos has been shown in New York Consensus 2018 and will be shared with the community soon. Demo demonstrated the application of DAC on a decentralized web-scraping task and image recognition tasks. Partial mainnet launch is scheduled for launch very soon, in August-2018.

Crowdsale start
Token distribution
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Hypernet is a 3rd generation protocol for large scale distributed computing.

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