[ANN][preICO] Dolphin BI: The first cryptoasset investment analysis marketplace

[zidorov]

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Brief Overview

Our platform will help users to get quick and high-quality risk and profitability assessment of crypto asset investments. It combines evaluation using machine learning and evaluation by experts. The platform utilizes a smart contract to transparently distribute reward among experts based on their reputation and contribution. Reputation of an expert is based on investors' voting and automatic evaluations of expert’s forecasts. We will also promote third-party developers to create and sell their own applications build on top of the platform. Revenue will be distributed to application’s author according to application usage.

Our mission is to become the first crypto asset investment analysis marketplace and number one data source for ICO market analytics. Thanks to our platform the analysis of ICOs will become much faster and more efficient and experts will be able to build up their reputation and monetize their expertise. We are also establishing partnerships with crypto asset funds to provide them with ICO scoring functionality and private access to the best experts.

Key features
Enhanced Analysis Speed
The platform combines speed of machine learning algorithms with versatility and depth of expert evaluation to provide subscribers with tools for a swifter and more flexible decision-making process.

Collaboration
The platform enables collaboration and knowledge sharing between participants, allowing for opinion variety and broadening the scope of analysis.

Expert rating system
A transparent and attack-proof rating system allows the experts to make a profit out of their contributions

Smart Contract Core
The rating system, revenue distribution and access to widgets are handled by a set of smart contracts, which provide objectivity and transparency

Community-driven development
All update proposals to rating or revenue distribution system are voted on by the community and the platform evolves according to needs of users

Custom widgets
Independent authors can create their own widgets and deploy them on the platform, enriching it with new features and simultaneously making profit


Economics
Please check with our whitepaper chapter 4 where you can see our economic description, there you can find token allocation, our 3 business models and caps, and our 3 "secret sauces".


Demo
We have already released a Demo with open-source code and implementation of
- a dashboard prototype with widgets implemented as docker containers
- sentiment analysis for bitcointalk topics
- an ICOface service prototype to search ICO team member by photo

See it in action!

Bounty program
Conditions of bounty program will be published after presale completion.


Token generation event conditions
There will be two token generation events (TGE):
   •   presale TGE (DBIP token)
   •   main TGE (DOBI token + conversion of DBIP tokens to DOBI tokens)

At the presale TGE there’s two stages: private and then public. The cap for private TGE is set at 400’000 USD. If the milestone is not reached, the remainder will be open for public buyout at public stage. Otherwise the cap will be raised to 600’000 USD for the public stage so that investors without preliminary agreements can invest as well. During the presale the DBIP (Dolphin BI Presale) ERC20 token will be generated.

There is a 25% bonus during the preliminary TGE, i.e. DBIP tokens will be provided at 1 token per 0.8 USD. During the main TGE there will be no bonus and the primary DOBI token will be provided at 1 DOBI per 1 USD. We will perform a 1:1 conversion DBIP tokens to DOBI tokens before the main TGE.

DBIP tokens will be delivered to subscriber’s Ethereum account. The conversion rate will be calculated according to the ETH/USD rate at 9:00 UTC (GMT+0) with rate from https://api.coinmarketcap.com/v1/ticker/ethereum/.

We will accept BTC and other digital tokens from the subscribed subscribers during the private stage. In that case, the conversion rate is agreed upon by parties individually and DBIP tokens will be sent manually. The conversion rate will be calculated according to value of the provided tokens in USD at the end of previous day (per http://coinmarketcap.com).

Dolphin BI presale TGE will take place by two stages:
   •   private token generation event from August 31th 13:00 - September 18th 2017 15:59 (GMT)
   •   public token generation event from September 18th 16:00 - September 30th 2017 23:59 (GMT)

At the second stage, the participation is only possible through the Ethereum smart contract.

The volatility risk should be also considered. For example, if during the preliminary TGE 1 ETH is 200 USD, then the subscriber can receive 250 DBIP for 1 ETH (200/0.8). If 1 ETH is 300 USD at the moment of the main TGE then subscribers can receive 300 DOBI for 1 ETH, while preliminary subscribers will only receive 250 DOBI through the conversion. This is a common occurrence during ICOs. Therefore, we are ready to carry 50% of the volatility risk. We will compensate 50% of preliminary subscribers’ loss due to rate growth from the “team reward” part of the token distribution. In the aforementioned case, the preliminary subscriber will gain 275 DOBI, which will mitigate half of their losses. Automatic DBIP to DOBI conversion will be performed at the beginning of the TGE. This insurance bonus will be calculated according to the ETH/USD rate at the beginning of main TGE (per http://coinmarketcap.com).
One should also consider that if during the main TGE 1 ETH is 50 USD, then the preliminary subscriber increases their number of DOBI fivefold.


The team
Our team will put a lot of effort and money raised during TGE into building an engaged community around our platform and marketplace and to develop ICO/TGE standards.

Pavel Sidorov - CEO and project manager
An experienced IT architect with a background in development and implementing of large scale information systems (BI, ERP, EPM)
Computer Science at State University of Management

Andy Varns - Blockchain researcher
PhD, associate professor of Finance University (Russia)
Entrepreneur
Financial consultant

Ivan Kamakin - Chief data scientist
Machine learning guru
R & Python developer
Smart-contract developer
Business Informatics at Higher School of Economics

Ilya Petrusenko - Backend Lead & DevOps
Smart-contract developer (Solidity)
Experienced Backend developer (Node.js)
Lead of ICOface project
DevOps

Eugene Soloviev - Frontend Lead
Blockchain Enthusiast
Lead Frontend Developer

Polina Medianina - Community manager
International communications specialist
Interpreter
Faculty of Business and Management at Higher School of Economics

Olesya Sinitsina - Community manager
Blockchain enthusiast
Computer Science at Kazan National Research Technological University

Join our project to become an influencer of new cryptoeconomics!

Please subscribe to our media resources for the latest news and announcements.

Website   Demo   Whitepaper   Blog   Facebook   Twitter   Telegram   Youtube   Github

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[tessaphin]

presale TGE (DBIP token)
main TGE (DOBI token + conversion of DBIP tokens to DOBI tokens) 
total coin ?
Bounty program soon ??

[zidorov]

presale TGE (DBIP token)
main TGE (DOBI token + conversion of DBIP tokens to DOBI tokens)  

Thanks to SEC and our lawyers we need to use new abbreviation  

total coin ?

11'500'000 to 61'500'000 (see chapter 4.3 of whitepaper)
Total token supply depends on backed amount.


UPD: special funds tokens will be burned when they will return as payment for the service back to the platform. So total supply is a supply without special funds. See chapter 4 in the Whitepaper.

Bounty program soon ??

Right after presale is finished so it's 1st of October.

[migliach]

It combines evaluation using machine learning and evaluation by experts.

For what do you want to use machine learning?

[clixcoin]

Is there video tutorial how to customize the beta platform I tried so many times but it remain unchanged. I hope if there will be instructions available than it will become interesting anyway this is interesting concept so that I will follow this.

[zidorov]

Is there video tutorial how to customize the beta platform I tried so many times but it remain unchanged. I hope if there will be instructions available than it will become interesting anyway this is interesting concept so that I will follow this.

It's easy: just click a 'Customize' button in right upper corner (it will change to 'Cancel') and you can move widgets by clicking inside and dragging it and resize by clicking and dragging right bottom corner.

We will add new widgets and "widget market" soon. Please subscribe for updates and follow us! Thanks!

[zidorov]

It combines evaluation using machine learning and evaluation by experts.

For what do you want to use machine learning?

For start:

Whitepaper Clustering. A tool to quickly find similar whitepapers in the database and pinpoint keywords. It allows the user to quickly understand the main idea and to assess the market in which the crypto-asset operates, as well as its main competitors. It also allows user to be automatically notificated if a new ICO in user's fileds of interests is published on the platform.

Social Networks Sentiment Analysis. After gathering text data from several social media outlets (Twitter, Facebook, Bitcointalk, Reddit, etc.) and running it through the algorithm, this widget provides the user with opinions of public and some key persona in the blockchain world on the crypto-asset. The widget also displays the keywords which often appear in media mentions and statistics on the activity of the crypto-asset team in its social media channels.

Build consensus forecast based on expert’s evaluations.

Funding transactions analysis to detect churning.

Sybil detection in Rating system (it's internal platform tool to fight with fraud).

[Diego_Armando]

So the machine learning is fast and automatic searching in data. But is it also making valuations?

[van0k]

So the machine learning is fast and automatic searching in data. But is it also making valuations?

Hello, Diego!
What do you mean by valuation?

My name is Ivan, by the way, I'm handling data science in the project, so you can ask me about ML and stuff

[zidorov]

Is there video tutorial how to customize the beta platform I tried so many times but it remain unchanged. I hope if there will be instructions available than it will become interesting anyway this is interesting concept so that I will follow this.

You ask we do! We appreciate demands of community!
Here's a video of beta.dolphin.bi

[Elementique]

As far as I understand, Dolphin BI will be a web-based platform with connection to Ethereum and Waves platforms in order to enable transfers of tokens. Is that correct? I did not fully understand, in your whitepaper, what do you call a set of smart-contracts that Dolphin platform is based on? Are those the Ethereum-based smart-contracts? Or these will be smart-contracts programmed from zero for the Dolphin BI purposes? What is the functional core and principles of these smart contracts from programming point of view?   

[zidorov]

As far as I understand, Dolphin BI will be a web-based platform with connection to Ethereum and Waves platforms in order to enable transfers of tokens. Is that correct? I did not fully understand, in your whitepaper, what do you call a set of smart-contracts that Dolphin platform is based on? Are those the Ethereum-based smart-contracts? Or these will be smart-contracts programmed from zero for the Dolphin BI purposes? What is the functional core and principles of these smart contracts from programming point of view?   

Thanks for a good question!

We plan to use Ethereum smart-contract as a platfrom core which implement the following functions:
- update Experts’ ratings
- distribute reward among Experts and Authors (in DOBI tokens)
- accept monthly subscription fees (in DOBI tokens) and assign widget access rights for Subscribers (e.g. on pay-per-month basis)
- voting on platform rules updates

This contract will use ERC20 tokens named DOBI. A gateway with Waves Platfrom is planned to be implemented to allow a user to buy and sell DOBI tokens through the Waves Platfrom wallet and DEX.

Frontend is planned to be implemented as a webservice initially and then also a mobile apps will be developed (as descibed in our roadmap). If DApps become widely adopted we will think to implement our Frontend as DApp.

Widgets and Data Providers are to be implemented as Docker containers (we already have this architecture in beta.dolphin.bi). If a decentralized computing becomes widely adopted (Golem, SONM, iExec etc) we will think on moving to a decentralized architecture in this part.

[Elementique]

As far as I understand, Dolphin BI will be a web-based platform with connection to Ethereum and Waves platforms in order to enable transfers of tokens. Is that correct? I did not fully understand, in your whitepaper, what do you call a set of smart-contracts that Dolphin platform is based on? Are those the Ethereum-based smart-contracts? Or these will be smart-contracts programmed from zero for the Dolphin BI purposes? What is the functional core and principles of these smart contracts from programming point of view?   

Thanks for a good question!

We plan to use Ethereum smart-contract as a platfrom core which implement the following functions:
- update Experts’ ratings
- distribute reward among Experts and Authors (in DOBI tokens)
- accept monthly subscription fees (in DOBI tokens) and assign widget access rights for Subscribers (e.g. on pay-per-month basis)
- voting on platform rules updates

This contract will use ERC20 tokens named DOBI. A gateway with Waves Platfrom is planned to be implemented to allow a user to buy and sell DOBI tokens through the Waves Platfrom wallet and DEX.

Frontend is planned to be implemented as a webservice initially and then also a mobile apps will be developed (as descibed in our roadmap). If DApps become widely adopted we will think to implement our Frontend as DApp.

Widgets and Data Providers are to be implemented as Docker containers (we already have this architecture in beta.dolphin.bi). If a decentralized computing becomes widely adopted (Golem, SONM, iExec etc) we will think on moving to a decentralized architecture in this part.

Thank you for your answer! I have couple of other questions: you have already mentioned some resources that you are collecting the data from, like social networks. Could you please name some other sources of the data you are using or want to use for analytics? In your opinion, what would be the most crucial criteria (one or several) in order to identify fraud/suspicious project, and would it be possible to do it based on automated analytics only, without expert involved? Speaking about investment analytics, in which form the final automated investment recommendations/fraud warnings will be given? Will it be some sort of ranking?   

[Elementique]

And perhaps could you please give more insights into the "bug-bounty" program? How it will be implemented, and what would be the main purpose of it? 

[van0k]

As far as I understand, Dolphin BI will be a web-based platform with connection to Ethereum and Waves platforms in order to enable transfers of tokens. Is that correct? I did not fully understand, in your whitepaper, what do you call a set of smart-contracts that Dolphin platform is based on? Are those the Ethereum-based smart-contracts? Or these will be smart-contracts programmed from zero for the Dolphin BI purposes? What is the functional core and principles of these smart contracts from programming point of view?   

Thanks for a good question!

We plan to use Ethereum smart-contract as a platfrom core which implement the following functions:
- update Experts’ ratings
- distribute reward among Experts and Authors (in DOBI tokens)
- accept monthly subscription fees (in DOBI tokens) and assign widget access rights for Subscribers (e.g. on pay-per-month basis)
- voting on platform rules updates

This contract will use ERC20 tokens named DOBI. A gateway with Waves Platfrom is planned to be implemented to allow a user to buy and sell DOBI tokens through the Waves Platfrom wallet and DEX.

Frontend is planned to be implemented as a webservice initially and then also a mobile apps will be developed (as descibed in our roadmap). If DApps become widely adopted we will think to implement our Frontend as DApp.

Widgets and Data Providers are to be implemented as Docker containers (we already have this architecture in beta.dolphin.bi). If a decentralized computing becomes widely adopted (Golem, SONM, iExec etc) we will think on moving to a decentralized architecture in this part.

Thank you for your answer! I have couple of other questions: you have already mentioned some resources that you are collecting the data from, like social networks. Could you please name some other sources of the data you are using or want to use for analytics? In your opinion, what would be the most crucial criteria (one or several) in order to identify fraud/suspicious project, and would it be possible to do it based on automated analytics only, without expert involved? Speaking about investment analytics, in which form the final automated investment recommendations/fraud warnings will be given? Will it be some sort of ranking?   

Hello Elementique!
Actually, the project itself started from analyzing distribution curves of ICO payments. We have found that for all solid ICOs the distributions after logarithmic transformation looked very similar (bell-shaped, so the underlying distribution could be considered Gaussian or Student's). This allowed us to detect tampering in payments - for example, the project investing big in the start of its own ICO to simulate high demand. However, the main problem here is that this analysis can be only performed after the ICO, so we decided to instead concentrate on something more useful at all stages, like sentiments or ICOface (a database of all people who did an ICO, where you can look them up by their photo).

So what you can surely expect in the future is payment curve and payment distribution analysis, and we also had a cool idea floating around about clustering addresses to find out whether, for example, exchanges were involved. But this is not our focus right now.

As for detecting whether the ICO is fraudulent or not directly, several problems arise - first, the data on fraudulent projects is scarce, not nearly enough to train a decent model; second, people seem to distrust even an amazing model, when the task is formulated as predicting fraud/not fraud. And if you make even a single mistake, you can really upset either investors or the project team that you called fraudsters. After interviewing some investors we found out that they would prefer to see indicators of possible fraudulency themselves and pass judgements on their own.

In the meantime, we will concentrate on some basic widgets like exchange rate curves, number of token holders, token balances distribution and so on.

And perhaps could you please give more insights into the "bug-bounty" program? How it will be implemented, and what would be the main purpose of it? 

This is going to be an automated bug hunt after the initial version of Dolphin BI smart-contract will be deployed. The idea is that we set the contract's invariants, and people who manage to break them will automatically be rewarded.
Here's an article where you can learn more: https://blog.zeppelin.solutions/setting-up-a-bug-bounty-smart-contract-with-openzeppelin-a0e56434ad0e

[jiya jaena]

waiting for bounty time. 

[AndyVarns]

It will be soon, if you maintain the Dolphin project))

[zidorov]

And perhaps could you please give more insights into the "bug-bounty" program? How it will be implemented, and what would be the main purpose of it? 

This is going to be an automated bug hunt after the initial version of Dolphin BI smart-contract will be deployed. The idea is that we set the contract's invariants, and people who manage to break them will automatically be rewarded.

Of course the bug-bounty program will be available for each part of our service. Because the smart-contract core is what operates with tokens it should be protected with highest priority. Other part of the platfrom as frontend or data providers could also contain security flaws so bug-bounty program will be definitely available for them too.

[thepo1m]

What skill set or backgorund do the team possess to provide a very good analytical intelligent investment advise for me. I don't think their is need to have a token for this because is more of service subscription for me

[psy0]

Hey, where can we publicly track the amount of presale contribution? Is it even public?