Science Behind

A white paper is a start of every good project. It could be called an industry standard for good blockchain projects. First they put concept on a paper and then begin coding. Bitcoin, Ethereum, Augur, Synereo, Factom, Storj, Bytecoin — all these projects started from a paper.

So we don’t invest in projects without something that explains complicated and sometimes weird stuff using math or natural language. On the other hand the absence of the paper is an indicator that anything and/or everything could go wrong for a project in the future. Sometimes the paper tells vividly only one thing that the project doesn’t have any chances to succeed. Sometimes the paper misinforms you about the current state of technology, sometimes the paper is just a copy-paste. Thus we have collected and will collect all the papers that are connected to the blockchain systems any potential investor could be interested in.

Code which could growth and live

In cybernomics a code should not be a closed source. Digital property could exist only in an open source environment. Otherwise, nobody has any assurance that property is owned by her/him.

Never trust anybody who tells you tales about a new disruptive system with a closed source code. Banish these people.

Open source code is one of the main reasons why we and others are so bullish on blockchains, decentralized organizations and applications.

There has been never before a better way to monetize an open source

We are investors and developers. And we understand two simple things:

Do the things that enable others to do great things. If you analyze a project and don’t understand how it could be useful to developers, forget about it. Any fast growing company at first had a platform that exited developers first. Otherwise this project has no chances. We live in times when you should be an engineer and understand a code to make the right investment decisions. Don’t believe me? Before becoming a Silicon Valley guru Mark Andresen invented the first browser 22 years ago. What about others? It is the same story. Most of the investors in Silicon Valley can code and do understand math.

So our purpose at this stage is to form a community of engineers who are eager to invest time and money into something seemingly impossible to make it possible. We really want to provide links to the most awesome stuff that enables people to build unique things.

Apps

An ability of a network to produce apps is the most critical element for adoption.

No apps, no future.

Very few people are happy using QT client, syncing blockchains or backing up wallets manually. So these section is reserved for the most prominent applications. An application is not necessary a wallet. Bitcoin has demonstrated that apps could be anything: wallets, exchanges, gambling, gaming, mining, payments, lending, tipping, remittance, etc.

But disruptive apps are not always centralized apps.

Decentralized apps

What is the difference between a classic app and a decentralized app? The simplest answer is that a decentralized app is designed in a way that no single entity can control it. We see the brightest future of blockchain technology and decentralized apps or, put simple, DApps.

All systems listed in cyber•Fund Rating are decentralized. You can build a decentralized application using another decentralized application or even several decentralized applications. We are tracking all the dependencies in a way software tracks dependencies from libraries. For an investor it means an opportunity to get a simplified due diligence and an extended understanding of the underlying technology which in fact could hold inherent risks underneath.

Blockchain analysis

The beauty of blockchains is in data. The operations of any legal entities that dominate the world now are almost impossible to analyze in real time. It is not a case for blockchains. If an entity is a blockchain, all operations can be verified by default and available for everybody. Thus the blockchain itself provides us with all necessary information for the automated investment decisions. That’s what we are aiming at.

Though it is not a part of this release, we have been working on the automation. Our Elasticsearch cluster is architectured for indexing blockchains in (almost) real time. Eventually we will add to blockchain portraits real time blockchain data, so blockchain networks will come to life before your eyes. At this point we will provide you links to the best analytic tools that we use ourselves.

Specifications

There is not a place in the Internet where you can easily find all blockchain specifications. The guys from Map of coins did a great job. But notation of the specifications is not exhausted. Thus we decided to go further and do even more.

Understanding Risks

The most important question we ask before putting money into a random set of numbers:

How efficient is a system?

How secure is a system?

How decentralized is a system?

What is the motivation of the network’s participants?

What possibilities do developers have?

How blockchain data are structured?

How useful is the documentation?

Does the system have high level API?

How does design of a system fit into Internet of Everything?

This is not an exhausted list of questions, but answers to these questions predetermine a growth rate of a decentralized system.

Rating is being defined using unique methodology for every class of digital property

Our Rating is based on unique methodology applicable to every class of blockchain systems. I want to share with you information about it.

For different classes of systems we have been developing a methodology that could give investors the best understanding of the risks and growth opportunities.

The classes of the systems that we are focusing on now are :

Independent Systems

Secured by decentralized consensus protocols. Examples: Bitcoin, Ripple, Ethereum, BitShares.

Decentralized Applications

Secured by independent systems. Tokens have internal value. No central emission point. Examples: Counterparty, GetGemz, Factom.

Pegged Assets

Secured by independent system and pegged to a value of real world assets: fiat currencies, shares, indexes… Examples: BitUSD, Tether, NuBits, Ripple issued BitstampUSD, CoinoUSD or even Ethercoin. Though they could have very different nature: CFDs, IOUs or whatever else, we feel that it is more natural to group them into one class: Pegged Assets.

Ownership Titles

To this class belong systems where transaction (e.g. a transfer of money) by itself proves your ownership rights for what you expect to receive.. Examples: AGS, Neucoin or Ethereum before launch.

Blockchain Shares

These are blockchain securities, e.g. shares, that give you rights to receive dividends: Coinomat. That could be shares that promise you tokens in the future: SAFE Network or Synereo. Tokens don’t have internal value without counterparty. It is a reason why blockchain shares usually bear a counterparty risk.

MECE principle is applicable to these classes that cover 95% of assets that exist in cryptoeconomy now. Thus, these classes will have distinctly different methodology of risks appraisal and growth valuation. Details of the methodology we are going to release soon.

Powered with Chaingear

Discovering new blockchains and their properties could not be automated at least at these point of time. Thus we decided to develop a simple library with the verified blockchain properties. All static information on cyber•Fund site is taken from opensource Chaingear library. Any developer can pull request or fork it. Chaingear has API, though it is not stable at the moment. So any improvements by developers are highly appreciated.

Look how beautiful they are!

Summarizing all considerations mentioned above I am happy to introduce you the Portraiture.