Did you know the word Datum is singular for data? I didn’t!
As the name suggests Datum’s business model revolves around data.
The Datum network allows anyone to store structured data securely in a decentralized way on a smart contract blockchain. The DAT smart token enables optional selling and buying of stored data while enforcing data usage rules as set by the data owner.
Nowadays data is an asset which is as valuable as oil and machines used to be in the past. It has become a strategic asset that allows companies to acquire or maintain a competitive edge. User data can find many applications and uses, most important being advertising and research.
“If you are not paying for the product, you are the product.” – Andrew Lewis, 2010.
Internet conglomerates like Facebook, Google, Twitter provide their services for free but in exchange exploit a user’s personal data. Sensitive information like personal emails are accessed by Google to sell information to advertisers. The data ecosystem is now worth billions of dollars, however the most important component of this system i.e the user, is the only one who is not actively involved. Datum is creating a decentralized network where users will have all the control over their data and will get paid for sharing it.
Datum network is based on smart contracts which enable the sharing and exchange of data. Datum client will be a web and mobile based application where user submits the data along with its usage terms. The data gets encrypted and stored in decentralized form using IPFS and BigChainDB. Users will have to pay some fee to the network storage miners. Once buyers submit their requirements, smart contracts match the attributes and release data in exchange of access charges taken from the buyer.
Apple’s Healthkit is similar to what Datum aims to offer. However the data stored on Healthkit is centrally located and owned by Apple, and the users don’t get paid for sharing their data. The team has not given many usecases of the product usage in their short whitepaper apart from a few examples of data monopoly of internet giants like Facebook and Google. Newly launched AirToken also pays users for enabling access to data. The concept of Datum is somewhat different, you can check our review of AirToken here. Companies like Papyrus,Qchain are creating digital advertising ecosystems in which users get paid for sharing their data to advertisers. They are limited to advertising ecosystem, while Datum aims to cover other domains as well, although we don’t exactly know which ones.
Token and Crowdraise
DAT is the only token to be used on the platform. DAT will be used in various stages of the product offering. Users will have to pay DATs to access the network and store data. Data buyers will pay DATs to register on the network and access user data. Third party services of CIVIC, IPFS, BigChainDB will be used in the network.
The ICO will begin on 29th October. The total supply of DAT will be 3 billion of which 1.53 Billion will be available for the ICO. There is a softcap of $5 million and a hardcap of $45 million. One DAT is valued at around $0.03. 20% of the total supply of 3 billion is kept for the team. 60% of the funds raised will be used for development and 15% for marketing.
CEO Roger Haenni is a serial entrepreneur with extensive experience in big data systems. He has cofounded 4 companies one of which includes StockX. StockX is a venture capital backed e-commerce site for global sneaker resale market. The whitepaper lists 8 members in the team and 1 adviser. Adviser Daniel Saito is the cofounder of MySQL. A recent blogpost shows addition of 3 new advisers and a few more team members. The core team has no prior blockchain experience, they have hired 2 Stanford undergrads as blockchain engineers. We give an average rating to the team. The team’s lack of blockchain experience should have been compensated by having more advisers who have worked with the technology.
Even after a user downloads Datum, what is stopping Facebook, Google, Amazon from sharing user’s data. That’s how the internet economy works. Facebook, Google are providing free services to users only because they get the data. The “only users have access to their data” part of the advertising campaign is somewhat misleading. IF very strict antitrust laws come up which prevent internet giants from collecting user info without their permission, then the business model might find value. Atleast for the decentralized digital advertising bit, companies like Papyrus, Airtoken seem to be much better placed. As for the other usecases, there is not much information available. There is a mention of car data, where users will sell data that their car generates using Datum. But then how are they planning to do that? Are they actively seeking partnerships with car manufactures like Dovu does? Overall we feel the idea is good, but the scope is too broad for a single team to handle. We hope the team shares some more details through blog posts etc.
- The scope of the project is too big for small team to handle. Many projects are working on the issue of data ownership, but they are focused on niche segments. -3
- The whitepaper leaves you with many questions in mind. -2
- For a project of this scale a large adviser network is needed. The whitepaper mentions only one adviser. A blog post informing about addition of 3 new advisers was posted on 14th October. Did they add 3 new advisers just two weeks before an ICO where they want to raise $45 million? -0.5
- The concept of data ownership holds a lot of potential. +2
- Datum can definitely scale in usecases like medicine, where something similar to HealthKit can be created. +4
- Tokens used in transactions will be burnt, creating value for token holders as the network scales. +2
We arrive at a score of 2.5 out of 10 for Datum. The score seems valid considering the many underlying grey areas.
The ICO begins on 29th October. You can register for the whitelist here.
ICO Analysis: Deepbrain Chain
Deepbrain Chain will provide a low-cost, private, flexible, secure, and decentralized artificial intelligence computing platform for artificial intelligence products.
Coming out of China, based on NEO, Deepbrain Chain is an incredibly difficult whitepaper to read. Many concepts are both lost in translation on paper, and in my simple brain.
I came across a Reddit post from a man named crypto_oxford, who does a great job summarizing.
“It is a data computation platform and a Data trading platform that uses distributed spare computing ressources, makes AI computational demands cheaper, protects against data leakage via hacking, secures the seperation of data ownership and usage rights, and secures intellectual property for the data and for the products.”
They figure to reduce the cost of AI by 70% by making it minable on the blockchain. I cannot verify these claims, I am no expert in this field. Here’s a good example possible investors face when trying to learn about this project. It sounds great, but what does it really mean?
“The founding team believes that DeepBrain Chain is a project that has been verified by the market, has huge market scale and significant application value, lets the process and economic value associated, and is gradually issued with the core business sharing storage and the mechanism of computation capacity of mining. Each token corresponds to the computational value of the service provided during its issue, and is a truly valuable asset and digital currency that has already landed. Due to the difficulty of issuing, the value of the flow needed by every new token will increase. The earlier one holds, the more the expected value of the market will be.”
- NEO platform (nep 5 token)
- A max hard cap of $15 million,
- There’s a total supply of 10 billion Deepbrain Chain (DBT) tokens. 50% of these will be mined over time.
- 1.5 billion tokens will be for sale
- 600 million sold during the Presale, which ended 10 days ago, and was almost impossible to get in.
- Token sale stars Dec 15th. You must fill out a KYC form to be eligible. No USA or China allowed
Only 1.5 billion of the total 10 billion tokens will be for sale.
600 million in the presale, and 900 million in the public sale
Use of funds. 55% R&D, 25% marketing, 10% daily operations, 8 % incentives, 2% patent fees
Based in China? The team is doing things. They recently won 1st and 2nd place prizes in Academic Sector & Enterprise of SMP, at the Chinese Man-Machine Dialogue Field Authority Evaluation Contest. This contest had over 30 of Chinas best competing.
Their resume’s check out pretty well. And just look at these faces… JACKPOT!
When it comes to the technical side of this project, I am out of my element. They have a hard cap of $15 million, $6 million of that already came from private investors, one of which being NEO, who funded them $1 million.This gives them serious street cred.
AI data computation, neuro networks, machine learning, all these concepts are no doubt where our world is going. On Deepbrain Chains platform, one can compute and trade data. They have a working platform with more than 1,000 semantic skills.
- This being a Chinese project, on NEO, makes it more susceptible to regulations than other projects. It doesn’t seem likely, but is a risk nonetheless -1
- The token metrics are funny. Only 15% for sale. They have a whitelist for the presale (which may be filled up by the time readers see this.) They didn’t limit the amount people bought during the presale, and won’t for the public sale either. This could lead to whales owning most of the supply. -2
- They are having KYC implementation difficulties with their sale. It has been a huge issue in their telegram the last 24 hours. What looks like is happening, is there is no way to verify what customer is connected to what KYC. This could be an in for investors who currently aren’t signed up for the KYC to buy these tokens. These issues could be a bad sign of things to come.-2
- The Deepbrain whitepaper states; there have been over 5k startups since 2012, collecting over $22 billion. This is without counting the money large existing companies put into ai, which makes the total amount of money over $100 billion. It is certain that this is just the beginning.+4
- NEO partnership. NEO alone has an endless amount of growth potential. They have a large community that gets exdcited and involved with the projects NEO backs. This partnership is worth a lot. +3
- The ICO has a strict KYC rule. This is going to create a tremendous amount of demand for this once it hits exchanges.+2
- This is a $20 billion industry, that is only growing from here on out.+2
The 10 billion supply with only 1.5 billion being sold is scary. However, the rest of the ICO seems to make up for this. 5.8 out of 10
Sale starts Dec 15th, however, you need to fill out the whitelist/KYC app in order to get in. This application is having technical issues which may allow anyone to buy in without previously being KYC whitelisted. It’s worth a shot, but need to hurry!
Sign up here https://www.deepbrainchain.org/pc/kycEnglish.html
Cover image courtesy of Shutterstock.com.
ICO Analysis: The Game Machine
In recent years passionate gamers have been exploited by huge game development companies that hold a monopoly over the industry. The recent EA Star Wars Battlefront catastrophe brought a lot of attention to an issue that gamers are all too familiar with.
Gamers have to dig deeper and deeper into their pockets to pay for the expansion packs, DLC, and additional features that are excluded from the main game. And these games aren’t cheap.
It’s increasingly becoming apparent that there are fundamental issues with how the gaming industry works today. Fortunately for gamers, the blockchain is already beginning to form a new paradigm in the way games are funded, developed and purchased.
The Game Machine is an open source platform that seeks to decentralize the gaming industry. It aims to provide sleek software that will empower gamers and game developers alike.
How are they planning on doing this?
The platform has four foundational layers that are stepping stones for this innovative new project. The first layer is the game machine client. It will work as a wallet to store and send Gamefuel tokens and will come with a built in mining interface so that all users can participate in securing the Game Machine’s blockchain.
The second step is to develop their “Rise Machine” that will allow members of the Game Machine community to invest funds into games they see promise in – funds that go directly to the developers so they can create their game independent of the EAs and other oligarchies.
This is perhaps the most powerful innovation suggested by the platform. It gives everyone from the small game studios, with a only a few developers, to the prominent developer, who wants to deviate from the script, the chance to create and sell great games to the community at a fair price when they otherwise could not.
The third layer of the platform is the “Ads Machine” a decentralized advertising market that will live inside the Game Machine client so that game publishers or advertisers can market their products to a gamer specific demographic. Advertisers have been experimenting for years with in-game, native advertising, and it’s a powerful use case for the game machine, just as a stand alone feature. Expect this element of their platform to bring in huge revenue if they can build up their user base.
The last layer of development in their platform is the “Exchange Machine”. This will simplify the process of buying and selling tokens for gamers who use or hold multiple ingame currencies. This way, gamers can sell their Gamefuel and easily move a variety of coins in and out of the game machine.
The Game Machine team is using an Erc20 token called GMIT, which stands for Game Machine Initial Token. Each token is currently valued at 2,500 GMIT per ETH, or $0.32 USD. The token will be tradeable for actual Gamefuel at a ratio where 1 Gamefuel= 0.5 GMIT. Thiswill occur once the platform officially launches in May or June of next year.
The GMIT token is issued by Game Machine OÜ, incorporated in Estonia. A total of 140 million tokens will be created during the various stages of the token sale. The pre-sale has already been conducted and an equivalent of 751 Ethereum were invested, which means roughly 1,870,000 GMIT have already been bought. There are bonuses for early investors during the crowdsale where day 1=+15%, day 2=+10% and day3 =+5%.
There is also another coin that can be mined called GMC or Game Machine Client token, which will be exchangeable for GMIT tokens before the official platform launch at a ratio where 1 GMC = 0.0002 GMIT. The GMC token is given to miners who are being rewarded for securing the network during the Game Machine’s beta testing stage so they can earn Gamefuel. The official Gamefuel token will have its own blockchain that runs on two key components, Limited Proof of Work, and Proof of Authority. Limited proof of work is an energy friendly implementation of the traditional proof of work protocol that bitcoin uses.
Proof of Authority is used to enable faster confirmations of crowdfunding transactions where the authority level of a user confirming transactions is determined through analyzing metrics such as time of use, the amount of purchases and sales of games on the platform made and how positive or negative the feedback of other users were about their contributions to the platform. This can also include how long they have been mining for and how fast. One can imagine this is useful for fending off bad actors that might just try to crowdsource Gamefuel and then commit an exit scam without contributing anything. This blockchain is inspired by the Scorex 2 framework devised by the Scorex foundation, which was also implemented by the Waves decentralized exchange platform.
The three co-founders of Game Machine have over 17 years of combined experience in project development, IT consulting, video game marketing and development.
The entire team consists of 19 full time employees who are busy working on many different parts of the Game Machine platform. If that’s not impressive enough then look at the history of two of the co-founders Taras Dogval and Alexandr Isaev who were both previous board members of Hakk, which is an interactive agency that has done marketing for huge European companies such as Volvo, Tallink Silja Line and Neste. The other co-founder Maria Suvorina has six years of experience in marketing and promoting games on computers and phones. She’s worked for companies such as Suricate Games, TMA and AminiLab.
Although these companies aren’t that well known, most of their work is out of the public’s eye, and they have actually made contributions to famous games. Aminilab for example has participated in development for games such as Alone in the Dark, FIFA, Dragon Age, Mass Effect, Doodle God and Doodle Devil.
The Game Machine is an extremely ambitious project that, if successful, will truly revolutionize the industry. The team behind the platform is experienced, has a great track record and is big enough to polish and refine the Game Machine into a fantastic platform for gamers and developers. However, the existing industry players already have huge advantages when it comes to funding, marketing, development and most importantly building a big reputation and brand awareness. It’s difficult to predict if a community driven effort from gamers and developers combined on an open source platform, will be enough to break into the existing market and convince everyday gamers to switch to an entirely new platform.
- One risk for this project is the quality of its design in terms of how friendly the user interface will be. If the platform is too difficult for technically illiterate people to use then it will not have wheels to get going anywhere. -1
- Another threat to the game machine is the plethora of other competitors that are already working on blockchain innovations in the gaming industry. For example, Enjincoin is an existing game development company founded in 2009 that recently completed its ICO, raising $20 million to kick start a platform that boasts features very similar to the ones offered on Game Machine. -2
- Besides the long list of other game-based ICOs that have been launched this year, there is also stiff competition from massive conventional gaming markets. In addition, newer platforms such as Steam have already attractive hundreds of millions of users. -2.5
- The Game Machine has a lot of potential for quickly stacking up a big user base, and one reason is due to the strong alignment of incentives between gamers and game creators. The traditional game development giants on the other hand are ignoring what their consumers and even some of their own developers have had to say about how games should be created, distributed or sold. Instead of focusing on quality and a fair deal for customers, these development companies have opted to lined their pockets instead. This is why gamers and developers would flock to the Game Machine overnight if the platform works well. +3
- The project’s potential for increasing the value of the underlying gamefuel token is actually quite immense in scope. Just the crowdsourcing and kickstarting mechanism built into the platform would induce a scenario where a large sum of people would continually purchase gamefuel tokens to lock into smart contracts. Once enough gamers are participating in this process the money locked in gamefuel tokens at any given time will only rise, thus reducing the supply of tokens in circulation and consequently increasing gamefuel’s value.+3
- With the plans to integrate a digital advertising market directly into the platform, gamefuel has a secondary source of revenue because advertising slots on the game machine platform can only be purchased with gamefuel.+3
- The “Exchange machine” that’s built into the Game Machine client is a nice approach to sourcing liquidity that will allow many other game based cryptocurrency holders to sell their tokens to purchase gamefuel. Attracting a wide range of gamers who are interested in different blockchain based gaming platforms is a unique approach to marketing that many readers may not have considered as a form of advertising. +2
The Game Machine is a solid project overall; the team is large, has experience and will have raised additional funds to expand their efforts once their crowdsale is completed. That being said, stiff competition from new and existing gaming avenues, not to mention luring a dedicated gaming community to an entirely new platform. These risks must be weighed carefully before entering into Game Machine. As such, this ICO has been granted a score of 5.5 out of 10.
Unfortunately, the presale period of the Game Machine ended a few days ago; however, the final crowdsale period will open for everyone to participate from Dec. 14 through Jan. 31, 2018..
There will only ever be 140 million gamefuel tokens created in the ICO, and 70% of them will be available for token sale participants. The rest of the tokens will be divided into portions and used to fund various parts of the project:
- 14.2% token storage for starting in-game items withdrawals.
- 1.4% for bounty program.
- 1.4% for advisors.
- 4.5% for referral program.
- 7.1% for team.
The team’s portion of tokens is utilized to pay for development and split in the following arrangement below.
- 10% Legal maintenance.
- 5% Operating expenses.
- 35% Marketing and PR.
- 50% Development of a product.
You can learn more about their token and ICO here.
Featured image courtesy of Shutterstock.
ICO Analysis: Gimmer Token
The impeccable rise of algorithmic trading has ushered in a new wave of do-it-yourself (DIY) algorithmic trading bots. With the success of these DIY bots in traditional financial markets, it was only a matter of time until they entered the cryptocurrency market.
For algorithmic trading, volatility creates opportunity sets. And with cryptocurrencies still trading in an inefficient market, volatility runs rampant. This level of volatility creates an ideal environment for even the most rudimentary algorithmic trading strategies. However, there is a lack of DIY automated trading bots that are available for use by amatuer cryptocurrency traders. With this in mind, Gimmer is looking to take advantage of this need.
According to the company’s website, “Gimmer offers easy-to-use advanced algorithmic trading bots that require no programming skills, no previous trading experience and no in-depth knowledge of cryptocurrencies.”
Essentially, Gimmer is hoping to position itself as the leading DIY algorithmic trading bots for individual cryptocurrency traders. While the company may never be the “Quantopian” of the cryptocurrency space, Gimmer does provide a novel solution for amateur traders.
The Gimmer token (GMR) will be implemented using the Ethereum ERC20. While GMR tokens will be visible in participants’ ERC20 wallet, the tokens will not be tradable until the close of the public sale on January 31, 2018. GMR tokens will issued starting from January 3, 2018. GMR holders generate value from the token as a form of payment for the rental cost of Gimmer’s trading bots. For users, the rental cost scales proportionately to the level of sophistication desired – more sophistication equals higher return (at least in theory).
According to the whitepaper, 45% of the funds raised will go towards development and operations, 35% towards marketing and acquisition, 15% towards the founders and team, with the remainder of the pot (5%) going to legal and compliance.
Gimmer Tokens are valued at 1 Ether (ETH) per 1,000 GMR (plus applicable bonuses). The total amount of tokens to be sold is capped at 100,000,000 GMR. However, an additional 6,000,000 GMR will be created for advisors, reserves, and the team, with another 4,000,000 GMR created for bounties.
The company has not yet stated its intention to list the GMR tokens on any major crypto exchanges.
Gimmer’s core team consists of two senior developers, a global macro hedge fund manager, and a creative design veteran. As compared with the majority of ICOs, Gimmer’s team is in-line with the relative standard – the quality of team meets basic expectations.
The company’s CEO, Philipe Comini, is a senior-level UX/UI designer who is also balancing two other jobs (according to LinkedIn) – typically, not a good sign. The company’s CTO, Persio Flexa, is also a senior developer who recently launched 2 other start-ups – again, not a good sign. The company’s COO, Paul Lindsell, is a creative design veteran with over 12 years experience that is seemingly committed to his role – not balancing multiple jobs. The company’s CIO, Masaichi Hasegawa, is currently a global macro hedge fund manager and an executive of a shoe manufacturing company – the third C-suite executive of Gimmer to balance two other jobs.
The rest of Gimmer’s team consists of a marketing director, a user experience director, two developers, a customer researcher, a commercial director, and a journalist.
Gimmer presents a highly speculative buying opportunity for investors interested in short-term capital appreciation.
Creating profitable algorithmic trading strategies is incredibly difficult. Hedge funds typically employ a large staff of mathematicians, experienced machine learning engineers, data scientists, and the like – Wall Street refers to them as “quants.” Quants typically hold a PhD in finance or quantitative mathematics and have years of hands-on experience with both statistical analysis and engineering (Python and C++). Does Gimmer employ any quants? No, not even by the slightest measure.
Overall, Gimmer’s DIY algorithmic trading bots are likely just a novel tool-kit for amatuer cryptocurrency traders, nothing more, nothing less.
Gimmer provides no data on slippage modeling, meaning users have no idea of all the transaction costs that are associated with a higher frequency of trading (including: fees, commission, and slippage). These costs can be significant and add up quickly. -1
Gimmer’s core team does not seem to be dedicated (balancing multiple jobs) or qualified in any sense. With Gimmer’s team lacking any real trading platform experience, unforeseen issues with their algorithms may lead to sizable losses for users. -1.5
Gimmer provides no data on latency, meaning users do not know if the company’s algorithms are deployed to proximity-based execution servers in attempt to achieve low-latency performance no matter where the user is located. For all trading strategies, latency must be measured and managed in order to maximize the probability of success. -1
Provided that Gimmer’s trading bots run successfully without any technical glitches, users could benefit from enhanced risk management protocols, thereby insuring their principal investment through more downside protection. +2
Copy trading techniques could benefit novice traders, as they can publicly see high level information such as start date, running period, currency pairs and percent gained. Based on the public information, users can copy seemingly successful trading strategies and rent the same bots. +3
Automated trading strategies will allow a larger pool of traders to invest in cryptocurrencies. Since the market is still subject to large, volatile price swings, more passive traders could use Gimmer’s platform to execute automated trades (based on pre-set parameters) without having to monitor the market on a day-to-day basis. +2.5
While algorithmic trading in the cryptocurrency space is a smart strategy, Gimmer lacks the sophistication of even the most basic trading platforms. The biggest concern beyond Gimmer’s lack of sophistication, is the pedigree of the core team. With no quants on staff and a couple UI/UX designers creating the algorithms, technical issues are likely to occur. And with that in mind, faulty algorithms or platform glitches could easily lead to the loss of principal investment for users.
For amateur traders interested in novel tool to play around with, Gimmer is a great choice. For veteran traders with solid programming and statistical skills, move on to a better platform.
Against this backdrop, we believe that a score of 4.0 out of 10 is warranted.
- Type: Crowdsale
- Symbol: GMR
- Pre-ICO Sale: November 24, 2017
- Public Sale: January 3, 2018
- Payments Accepted: ETH
Disclaimer: no position in Gimmer at the time of writing.
Featured image courtesy of Shutterstock.
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