Data Feed Discovery - Legislative Branch - South America - $100

In GitLab by @evgenydmitriev on May 16, 2019, 13:24

Bounty Description

This task is for discovering data feeds that list recent publications and working documents of South American legislators who might have an impact on the digital currency space.
We do not need the publications themselves, just the web pages where they are being listed and updated.
We need as many links to different feeds as you can find, even if they overlap.
The content of the page should be visible with JavaScript off. We prefer structured feeds such as RSS, XML, JSON, and file repositories, but will also take regular web pages, custom APIs, and Twitter feeds.
We are willing to accept publication channels that are not affiliated with the legislators themselves as well as aggregators and specialized media outlets.
Each legislator should have a short description in English, but the feeds themselves can be in any language!
At least 20 legislative organizations need to be covered in your submission. Focus on the ones that have produced newsworthy blockchain-related content in the past, whether on the city, regional, country, or international level.
You can submit your work by sharing Google Document/Spreadsheet with us ([email protected]) so other bounty participants can't copy your work. We created an example of an executive branch report that focuses on relevant US Financial Regulator.

General rules

Anyone can participate in getting this bounty. You do not need our approval to start working or to submit your results.
When you start working on the issue, please comment below to let everyone know that there might be potential competition.
When you are ready to submit your work, leave a comment in this issue with the link to your document and we'll get in touch with you regarding the bounty release or to help you make necessary changes to your submission.
We will pay the bounty and close the issue as soon as we get a good quality submission that fulfills all of the requirements listed here.
By completing this project you agree to let Inca use any and all work submitted for any internal or external purposes. Inca reserves the right to use or not use any work submitted via this project.
For additional information about the Bounty program, please refer to our wiki page.

Resources

Don't hesitate to ask us questions by commenting in this issue or emailing us at [email protected].

Data Feed Discovery - Financial Regulators - Europe - $100

In GitLab by @evgenydmitriev on May 9, 2019, 13:05

Bounty Description

This task is for discovering data feeds that list recent publications and working documents of European financial regulators who might have an impact on the digital currency space.
We do not need the publication themselves, just the web pages where they are being listed and updated.
We need as many links to different feeds as you can find, even if they overlap.
The content of the page should be visible with JavaScript off. We prefer structured feeds such as RSS, XML, JSON, and file repositories, but will also take regular web pages, custom APIs, and Twitter feeds.
We are willing to accept publication channels that are not affiliated with the regulators themselves as well as aggregators and specialized media outlets.
Each regulator should have a short description in English, but the feeds themselves can be in any language!
At least 20 financial regulators need to be covered in your submission. Focus on the ones that have produced newsworthy blockchain-related content in the past, whether on the regional, country, or international level.
You submit your work by sharing Google Document/Spreadsheet with us ([email protected]) so other bounty participants can't copy your work. We created an example of a report that focuses on relevant US Financial Regulators.

General rules

Anyone can participate in getting this bounty. You do not need our approval to start working or to submit your results.
When you start working on the issue, please comment below to let everyone know that there might be potential competition.
When you are ready to submit your work, leave a comment in this issue with the link to your document and we'll get in touch with you regarding the bounty release or to help you make necessary changes to your submission.
We will pay the bounty and close the issue as soon as we get a good quality submission that fulfills all of the requirements listed here.
By completing this project you agree to let Inca use any and all work submitted for any internal or external purposes. Inca reserves the right to use or not use any work submitted via this project.
For additional information about the Bounty program, please refer to our wiki page.

Background

Inca often uses "bounty projects" as introductory projects to vet potential employees or interns. These projects give interested individuals a chance to prove themselves, learn a bit about our company & products, and produce a useful result in the process. These projects are extremely independent and will require you to manage your own time and work process.

NTerminal is a data aggregation and analytics platform used for navigating the crypto-financial ecosystem. NTerminal's many data streams can be categorized into three general segments:

Financial data - Trade and order book data from exchanges and aggregation entities (price, size, trade-pair, volumes, etc.)
Natural Language data - Text-based data streams with keyword & sentiment analysis (social media posts, news articles, regulatory meeting minutes, etc.)
Technical data from Blockchains, mining pools, code fuzzing, github repositories, etc.

Resources

Don't hesitate to ask us questions by commenting in this issue or emailing us at [email protected].

Add the Blockchain Addresses section to the normalization guide

In GitLab by @anshlykov on Sep 12, 2019, 23:51

Collect Twitter mentions of the specific topic: Uptime, negative sentiment - 25$

The goal for this issue is to collect a minimum of 200 tweets in response to the uptime of the services, including, but not limited to crypto custodians - there're no hard requirements on the type of services
(you can find one of the crypto exchanges lists here, and examples of the events that are also of our interest in this file).

A suggested way to deal with the issue is the following:

Find relevant to the topic events - updates, service outages, etc.
You may use Google News for this (the search query could be ${Exchange Name} + ${Topic}). Example: “binance service outage”
Use the search results to figure the dates of the event (example: the platform was down for an update on Nov 26th)
Filter Twitter results by date close to the event
For this issue, look for the tweets, customers commenting on the uptime of the service, or the service posting about an update/outage. As an example: a service posts "we're planning an update midnight EST, 26th Nov".
If you think the Tweet is relevant, add this to a CSV, using the following format:
“username, date, tweet-content, topic”

To better understand if the Tweet addresses the necessary topic, you can find examples of the tweets on uptime here

Important note:

Do not Twitter-search for the topic-related keywords, such as “uptime” - instead, make sure to follow the steps, as described above. With that, filter Twitter search by dates and Exchange names only. (Example: search for “binance”, Nov 26-28 because an outage/maintenance happened on Nov 26).

Feel free to ask questions by commenting the issue below and take a look at the issues on other topics in this folder.

To start the task:

Leave a comment in this GitHub issue.
In the comment, let us know you’ve started the task and mention the amount of time you will need to finish it.

Upon completion of the task:

Upload your CSV file to Google Drive and share it with [email protected]
Leave a comment in the issue, saying you’re done
Send an email to [email protected] with the info on the preferable payment method

Collect Twitter mentions of the specific topic: Support, positive sentiment - 25$

The goal for this issue is to collect a minimum of 200 tweets in response to the quality of Support, including, but not limited to crypto custodians - we are interested in the work of support services in general, and crypto custodians specifically
(you can find one of the crypto exchanges lists here, and examples of the events that are also of our interest in this file).

A suggested way to deal with the issue is the following:

Find relevant to the topic events - hacks, bugs, service outages, etc. - you need to search for the events when the customers might have needed the Support services. You may use Google News for this (the search query could be ${Exchange Name} + ${Topic}). Example: “binance service outage”
Use the search results to figure the dates of the event (example: the exchange was on the maintenance on Nov 26th)
Filter Twitter results by date close to the event
For this issue, look for the tweets, positively commenting on the work of the specific exchange’s Support services. As an example: a quick response from the support service, or any other sort of positive feedback about the phone or online support.
If you think the Tweet is relevant, add this to a CSV, using the following format:
“username, date, tweet-content, topic”

To better understand if the Tweet addresses the necessary topic, you can find examples of the support-related tweets here

Important note:

Do not Twitter-search for the topic-related keywords, such as “support” - instead, make sure to follow the steps, as described above. With that, filter Twitter search by dates and Exchange names only. (Example: search for “binance”, Nov 26-28 because a hack/maintenance happened on Nov 26).

Feel free to ask questions by commenting the issue below and take a look at the issues on other topics in this folder.

To start the task:

Leave a comment in this GitHub issue.
In the comment, let us know you’ve started the task and mention the amount of time you will need to finish it.

Upon completion of the task:

Upload your CSV file to Google Drive and share it with [email protected]
Leave a comment in the issue, saying you’re done
Send an email to [email protected] with the info on the preferable payment method

Develop Slack stream source for Spring Cloud Dataflow streams - 500$

In GitLab by @durm on Sep 20, 2018, 20:02

Develop a slackstream source component, which can be easily integrated into Spring Cloud Dataflow streams.

Toolset: JAVA, Spring, Spring-dataflow, docker

If you want to lock this issue to make sure no one else is working on it, please comment below and send us your resume at [email protected]. After your resume review, we'll add "in progress" tag and assign the issue to you. Upon request, we can also create an escrow job on one of the freelancer websites (Upwork, fl.ru, etc). All of this is optional - you can skip this step if you just want to show us the result.
You need to create a separate personal git project and provide the issue creator with access to your repository for code review.
Upon completion of the project, please add "release" branch, create merge request from master to release, assign the issue creator to it, and leave a comment here.
After resolving all our comments associated with the merge request, we'll release the payment, and move the project into our repository.

Component should

be dockerized.
communicate with a stream via RabbitMQ-broker.
be configured through spring-dataflow-dashboard GUI to receive initial input data: token (Slack API token) and channels (comma-separated list of channels to grab).
yields new messages from those channels to self-output in SCHEMA format.
tests should be provided.
please, ask us about not-so-popular 3rd party libs, before using.

following commands should be provided:

a command for building docker-image with the component;
a command for building application-metadata jar package companion.

Definition of done

all review discussions are closed.
docker-image with the component and the metadata-package are built successfully.

Mainstream Media Research - $100

In GitLab by @diana.yerd on Jun 13, 2019, 16:19

Bounty Description

This issue is for market research to be done on crypto data opportunities in the mainstream media
In order to participate, you need to create your own private project within GitLab and add @diana.yerdaulet and @evgenydmitriev to it.
Within your project, you need to create separate issues for each company you do research on, similar to the example issue we created for you.
Please follow this wiki page that explains in detail what should be covered in your issue descriptions.
At least 10 mainstream media companies need to be covered in your project. Focus on the ones that have a clear interest in cryptocurrencies and blockchain technologies, and please don't confuse mainstream media with social media.
When you finish, please comment in this issue and provide a link to your project. You will be contacted by one of our team members regarding the bounty release or to help you make necessary changes to your submission.

General rules

Anyone can participate in getting this bounty. You do not need our approval to start working or to submit your results.
When you start working on the issue, please comment below to let everyone know that there might be potential competition.
When you are ready to submit your work, leave a comment in this issue with the link to your document and we'll get in touch with you regarding the bounty release or to help you make necessary changes to your submission.
We will pay the bounty and close the issue as soon as we get a good quality submission that fulfills all of the requirements listed here.
By completing this project you agree to let Inca use any and all work submitted for any internal or external purposes. Inca reserves the right to use or not use any work submitted via this project.
For additional information about the Bounty program, please refer to our wiki page.

Resources

Don't hesitate to ask us questions by commenting in this issue or emailing us at [email protected].

Develop IRC stream source for Spring Cloud Dataflow streams - 500$

In GitLab by @penpyt on Jul 19, 2018, 15:24

Develop a ircstream source component, which can be easily integrated into Spring Cloud Dataflow streams.

Toolset: JAVA, Spring, Spring-dataflow, docker

If you want to lock this issue to make sure no one else is working on it, please comment below and send us your resume at [email protected]. After your resume review, we'll add "in progress" tag and assign the issue to you. Upon request, we can also create an escrow job on one of the freelancer websites (Upwork, fl.ru, etc). All of this is optional - you can skip this step if you just want to show us the result.
You need to create a separate personal git project and provide the issue creator with access to your repository for code review.
Upon completion of the project, please add "release" branch, create merge request from master to release, assign the issue creator to it, and leave a comment here.
After resolving all our comments associated with the merge request, we'll release the payment, and move the project into our repository.

Component should

be dockerized.
communicate with a stream via RabbitMQ-broker.
be configured through spring-dataflow-dashboard GUI to receive initial input data: server, username, password, comma-separated list of channels.
yields new messages from those channels to self-output in SCHEMA format.

following commands should be provided:

a command for building docker-image with the component;
a command for building application-metadata jar package companion.

Definition of done

all review discussions are closed.
docker-image with the component and the metadata-package are built successfully.

Collect Twitter mentions of the specific topic: withdrawal, negative sentiment - 25$

In GitLab by @alina.park on Jun 8, 2020, 15:39

The goal for this issue is to collect a minimum of 200 tweets in response to the funds' withdrawal at crypto custodians
(you can find one of the exchanges lists here, and examples of the events that are of our interest in this file).

A suggested way to deal with the issue is the following:

Find relevant to the topic events - frozen wallets, prolonged maintenance, etc. - anything that prevents people to transfer the money out short of actual hacks and obvious fraud.
You may use Google News for this (the search query could be ${Exchange Name} + ${Topic}). Example: “binance service outage”
Use the search results to figure the dates of the event (example: the exchange was on the maintenance on Nov 26th)
Filter Twitter results by date close to the event
For this issue, look for the tweets, negatively commenting on the opportunities of funds withdrawal of custody-providers services (example: unable to withdraw funds because of the maintenance of the exchange service).
If you think the Tweet is relevant, add this to a CSV, using the following format:
“username, date, tweet-content, topic”

To better understand if the Tweet addresses the necessary topic, you can find examples of the withdrawal-related tweets here

Important note:

Do not Twitter-search for the topic-related keywords, such as “withdrawal” - instead, make sure to follow the steps, as described above. With that, filter Twitter search by dates and Exchange names only. (Example: search for “binance”, Nov 26-28 because the maintenance happened on Nov 26)

To start the task:

Leave a comment in this GitLab issue.
In the comment, let us know you’ve started the task and mention the amount of time you will need to finish it.

Upon completion of the task:

Upload your CSV file to Google Drive and share it with [email protected]
Leave a comment in the issue, saying you’re done
Send an email to [email protected] with the info on the preferable payment method

Feel free to take a look at the issues on the rest of the topics below

Exchange Reference Table - $50

In GitLab by @ngans20 on Aug 8, 2019, 16:26

Bounty Description

This bounty issue is for creating a tagged table of exchanges. The table should be created within a google sheet. Please comment in this issue if you start working on this.

Requirements

Must include over 250 exchanges
Must at least cover the List of exchanges which NTerminal Provides Financial Data on, but additional exchanges (like bisq or abcc) should also be included.
Data Format with example:

market_venue	base	symbol	date_established	financial_products	margin	regulation	exchange_type	kyc	location
GEMINI	BCH BTC ETH LTC USD	BCH BTC ETH LTC ZEC	2014	spot	no	regulated	centralized	kyc	United States

The financial_products field should indicate all of the derivative and spot products traded on the venue (like futures and options)
The regulation field should be either "regulated" or "unregulated"
The exchange_type should be either "centralized" or "decentralized"
If multiple locations are listed for an exchange, include all found locations.

General rules

Anyone can participate in getting this bounty. You do not need our approval to start working or to submit your results.
When you start working on the issue, please comment below to let everyone know that there might be potential competition.
When you are ready to submit your work, leave a comment in this issue with the link to your document and we'll get in touch with you regarding the bounty release or to help you make necessary changes to your submission.
We will pay the bounty as soon as we get a good quality submission that fulfills all of the requirements listed here.
By completing this project you agree to let Inca use any and all work submitted for any internal or external purposes. Inca reserves the right to use or not use any work submitted via this project.
For additional information about the Bounty program, please refer to our wiki page.

Background

Inca often uses "bounty projects" as introductory projects to vet potential employees or interns. These projects give interested individuals a chance to prove themselves, learn a bit about our company & products, and produce a useful result in the process. These projects are extremely independent and will require you to manage your own time and work process.

NTerminal is a data aggregation and analytics platform used for navigating the crypto-financial ecosystem. NTerminal's many data streams can be categorized into three general segments:

Financial data - Trade and order book data from exchanges and aggregation entities (price, size, trade-pair, volumes, etc.)
Natural Language data - Text-based data streams with keyword & sentiment analysis (social media posts, news articles, regulatory meeting minutes, etc.)
Technical data from Blockchains, mining pools, code fuzzing, github repositories, etc.

Resources

Don't hesitate to ask us questions by commenting in this issue or emailing us at [email protected].

FAQ documentation

In GitLab by @anadirastogi on Aug 31, 2019, 18:15

Glean all the bounty issues and prepare a FAQ doc of the most general inquired questions.
Involve people from tech for more generic technical FAQs

@evgenydmitriev - If there's a document for something like this already in place, please let me know. I'll integrate it with the Bounty repo wiki

@ngans20

Data Feed Discovery - Financial Regulators - South America - $100

In GitLab by @evgenydmitriev on May 10, 2019, 24:32

Bounty Description

This task is for discovering data feeds that list recent publications and working documents of South American financial regulators who might have an impact on the digital currency space.
We do not need the publication themselves, just the web pages where they are being listed and updated.
We need as many links to different feeds as you can find, even if they overlap.
The content of the page should be visible with JavaScript off. We prefer structured feeds such as RSS, XML, JSON, and file repositories, but will also take regular web pages, custom APIs, and Twitter feeds.
We are willing to accept publication channels that are not affiliated with the regulators themselves as well as aggregators and specialized media outlets.
Each regulator should have a short description in English, but the feeds themselves can be in any language!
At least 20 financial regulators need to be covered in your submission. Focus on the ones that have produced newsworthy blockchain-related content in the past, whether on the regional, country, or international level.
You submit your work by sharing Google Document/Spreadsheet with us ([email protected]) so other bounty participants can't copy your work. We created an example of a report that focuses on relevant US Financial Regulators.

General rules

Anyone can participate in getting this bounty. You do not need our approval to start working or to submit your results.
When you start working on the issue, please comment below to let everyone know that there might be potential competition.
When you are ready to submit your work, leave a comment in this issue with the link to your document and we'll get in touch with you regarding the bounty release or to help you make necessary changes to your submission.
We will pay the bounty and close the issue as soon as we get a good quality submission that fulfills all of the requirements listed here.
By completing this project you agree to let Inca use any and all work submitted for any internal or external purposes. Inca reserves the right to use or not use any work submitted via this project.
For additional information about the Bounty program, please refer to our wiki page.

Background

Inca often uses "bounty projects" as introductory projects to vet potential employees or interns. These projects give interested individuals a chance to prove themselves, learn a bit about our company & products, and produce a useful result in the process. These projects are extremely independent and will require you to manage your own time and work process.

NTerminal is a data aggregation and analytics platform used for navigating the crypto-financial ecosystem. NTerminal's many data streams can be categorized into three general segments:

Financial data - Trade and order book data from exchanges and aggregation entities (price, size, trade-pair, volumes, etc.)
Natural Language data - Text-based data streams with keyword & sentiment analysis (social media posts, news articles, regulatory meeting minutes, etc.)
Technical data from Blockchains, mining pools, code fuzzing, github repositories, etc.

Resources

Don't hesitate to ask us questions by commenting in this issue or emailing us at [email protected].

Data Feed Discovery - Financial Regulators - Middle East & Africa - $100

In GitLab by @evgenydmitriev on May 10, 2019, 24:29

Bounty Description

This task is for discovering data feeds that list recent publications and working documents of Middle Eastern and African financial regulators who might have an impact on the digital currency space.
We do not need the publication themselves, just the web pages where they are being listed and updated.
We need as many links to different feeds as you can find, even if they overlap.
The content of the page should be visible with JavaScript off. We prefer structured feeds such as RSS, XML, JSON, and file repositories, but will also take regular web pages, custom APIs, and Twitter feeds.
We are willing to accept publication channels that are not affiliated with the regulators themselves as well as aggregators and specialized media outlets.
Each regulator should have a short description in English, but the feeds themselves can be in any language!
At least 20 financial regulators need to be covered in your submission. Focus on the ones that have produced newsworthy blockchain-related content in the past, whether on the regional, country, or international level.
You submit your work by sharing Google Document/Spreadsheet with us ([email protected]) so other bounty participants can't copy your work. We created an example of a report that focuses on relevant US Financial Regulators.

General rules

Anyone can participate in getting this bounty. You do not need our approval to start working or to submit your results.
When you start working on the issue, please comment below to let everyone know that there might be potential competition.
When you are ready to submit your work, leave a comment in this issue with the link to your document and we'll get in touch with you regarding the bounty release or to help you make necessary changes to your submission.
We will pay the bounty and close the issue as soon as we get a good quality submission that fulfills all of the requirements listed here.
By completing this project you agree to let Inca use any and all work submitted for any internal or external purposes. Inca reserves the right to use or not use any work submitted via this project.
For additional information about the Bounty program, please refer to our wiki page.

Background

Inca often uses "bounty projects" as introductory projects to vet potential employees or interns. These projects give interested individuals a chance to prove themselves, learn a bit about our company & products, and produce a useful result in the process. These projects are extremely independent and will require you to manage your own time and work process.

NTerminal is a data aggregation and analytics platform used for navigating the crypto-financial ecosystem. NTerminal's many data streams can be categorized into three general segments:

Financial data - Trade and order book data from exchanges and aggregation entities (price, size, trade-pair, volumes, etc.)
Natural Language data - Text-based data streams with keyword & sentiment analysis (social media posts, news articles, regulatory meeting minutes, etc.)
Technical data from Blockchains, mining pools, code fuzzing, github repositories, etc.

Resources

Don't hesitate to ask us questions by commenting in this issue or emailing us at [email protected].

Collect Twitter mentions of the specific topic: fraud, negative sentiment - 25$

The goal for this issue is to collect a minimum of 200 tweets in response to the frauds at crypto custodians (you can find one of the exchanges lists here https://www.cointelligence.com/exchanges_list/. A good example of a fraud event we are interested in is Africrypt affair. More fraud examples can be found in this file https://drive.google.com/file/d/1eWpuIpAXZGx4x-lHvkmUbrZ7GvjBymXx/view?usp=sharing).

A suggested way to deal with the issue is the following:

Find relevant to the topic events - exit scams, insider jobs, etc. - anything that signals fraud problems. You may use Google News for this (the search query could be ${Exchange Name} + ${Topic}). Example: “Africrypt exit scam”
Use the search results to figure the dates of the event (example: suppose there is news on Africrypt on June 23)
Filter Twitter results by date close to the event
For this issue, look for the tweets, negatively commenting on the fraud problems of custody-providers services.
If you think the Tweet is relevant, add this to a CSV, using the following format: “username, date, tweet-content, topic”
To better understand if the Tweet addresses the necessary topic, you can find examples of the fraud-related tweets here https://docs.google.com/spreadsheets/d/1odWHLPDl5Kg99uwc7ngRJzrD2ZKT3TVnXkvwte_jDlw/edit?usp=sharing.

Important note:

Do not Twitter-search for the topic-related keywords, such as “fraud” - instead, make sure to follow the steps described above. With that, filter Twitter search by dates and custodian names only. (Example: search for “Africrypt”, June 22-24 because the news about the scam went out on June 23)

Feel free to ask questions by commenting the issue below.

To start the task:

Leave a comment in this GitHub issue.
In the comment, let us know you’ve started the task and mention the amount of time you will need to finish it.
Submit your results in a .csv file to [email protected]. Make sure to indicate your preferred payment method.

Data Feed Discovery - Legislative Branch - Middle East & Africa - $100

In GitLab by @evgenydmitriev on May 16, 2019, 13:32

Bounty Description

This task is for discovering data feeds that list recent publications and working documents of Middle Eastern and African legislators who might have an impact on the digital currency space.
We do not need the publications themselves, just the web pages where they are being listed and updated.
We need as many links to different feeds as you can find, even if they overlap.
The content of the page should be visible with JavaScript off. We prefer structured feeds such as RSS, XML, JSON, and file repositories, but will also take regular web pages, custom APIs, and Twitter feeds.
We are willing to accept publication channels that are not affiliated with the legislators themselves as well as aggregators and specialized media outlets.
Each legislator should have a short description in English, but the feeds themselves can be in any language!
At least 20 legislative organizations need to be covered in your submission. Focus on the ones that have produced newsworthy blockchain-related content in the past, whether on the city, regional, country, or international level.
You can submit your work by sharing Google Document/Spreadsheet with us ([email protected]) so other bounty participants can't copy your work. We created an example of an executive branch report that focuses on relevant US Financial Regulator.

General rules

Anyone can participate in getting this bounty. You do not need our approval to start working or to submit your results.
When you start working on the issue, please comment below to let everyone know that there might be potential competition.
When you are ready to submit your work, leave a comment in this issue with the link to your document and we'll get in touch with you regarding the bounty release or to help you make necessary changes to your submission.
We will pay the bounty and close the issue as soon as we get a good quality submission that fulfills all of the requirements listed here.
By completing this project you agree to let Inca use any and all work submitted for any internal or external purposes. Inca reserves the right to use or not use any work submitted via this project.
For additional information about the Bounty program, please refer to our wiki page.

Resources

Don't hesitate to ask us questions by commenting in this issue or emailing us at [email protected].

Resolve "Add the Blockchain Addresses section to the normalization guide" - [merged]

In GitLab by @anshlykov on Sep 23, 2019, 01:30

Merges 43-issue -> master

Closes #43

Test NLP Text Analytics App on Splunkbase - $500

In GitLab by @evgenydmitriev on Apr 12, 2019, 11:17

Produce a comparative report on the capabilities of the NLP Text Analytics App (Blog post) vs Yachay (NTerminal's NLP module). The report should be supplemented with the results of the real-world NTerminal data and should include the following sections:

Data enrichment (named entities, sentiment, etc.)
Analytics
Visualisations
System load (used resources such as CPU and RAM)

Resources:

All NLP data from NTerminal
Developer Splunk search head with MLTK and NLP Text Analytics App

Inca Team:

Infrastructure Engineer (@anshlykov)
NLP Engineer (@myrmecophagous)
ML and Data Engineer (@alina.park)

Collect Twitter mentions of the specific topic: Support, negative sentiment - 25$

The goal for this issue is to collect a minimum of 200 tweets in response to the quality of Support, including, but not limited to crypto custodians - we are interested in the work of support services in general, and crypto custodians specifically
(you can find one of the crypto exchanges lists here, and examples of the events that are also of our interest in this file).

A suggested way to deal with the issue is the following:

Find relevant to the topic events - hacks, bugs, service outages, etc. - you need to search for the events when the customers might have needed the Support services. You may use Google News for this (the search query could be ${Exchange Name} + ${Topic}). Example: “binance service outage”
Use the search results to figure the dates of the event (example: the exchange was on maintenance on Nov 26th)
Filter Twitter results by date close to the event
For this issue, look for the tweets, negatively commenting on the work of the specific exchange’s Support services. As an example: slow response time of the support service, or any other sort of complaints about the phone or online support.
If you think the Tweet is relevant, add this to a CSV, using the following format:
“username, date, tweet-content, topic”

To better understand if the Tweet addresses the necessary topic, you can find examples of the support-related tweets here

Important note:

Do not Twitter-search for the topic-related keywords, such as “support” - instead, make sure to follow the steps, as described above. With that, filter Twitter search by dates and Exchange names only. (Example: search for “binance”, Nov 26-28 because a hack/maintenance happened on Nov 26).

Feel free to ask questions by commenting the issue below and take a look at the issues on other topics in this folder.

To start the task:

Leave a comment in this GitHub issue.
In the comment, let us know you’ve started the task and mention the amount of time you will need to finish it.

Upon completion of the task:

Upload your CSV file to Google Drive and share it with [email protected]
Leave a comment in the issue, saying you’re done
Send an email to [email protected] with the info on the preferable payment method

Generate Business Leads - Financial Regulators Contacts - $50

In GitLab by @evgenydmitriev on Oct 7, 2019, 23:03

Bounty Description

This task is for discovering blockchain-related contacts at US and international financial regulators who might have an impact on the digital currency space.
We need names and contact information of financial regulators who might take advantage of our cryptocurrency analytics system called NTerminal.
We need as many potential leads as you can find.
We are especially interested in linkedin profiles and email addresses.
We are willing to accept all affiliated leads, including relevant international organizations.
Each lead should have a short description in English. Identify the organization they work for under each lead.
**At least 10 leads (organizations) should be included in your submission. Focus on the ones that have produced newsworthy blockchain-related work in the past, whether on the city, regional, country, or international level.
You can submit your work by sharing Google Document/Spreadsheet with us ([email protected]) so other bounty participants can't copy your work. We created an example of an executive branch report that focuses on relevant US Financial Regulator.

Resources

General rules

Anyone can participate in getting this bounty. You do not need our approval to start working or to submit your results.
When you start working on the issue, please comment below to let everyone know that there might be potential competition.
When you are ready to submit your work, leave a comment in this issue with the link to your document and we'll get in touch with you regarding the bounty release or to help you make necessary changes to your submission.
We will pay the bounty and close the issue as soon as we get a good quality submission that fulfills all of the requirements listed here.
By completing this project you agree to let Inca use any and all work submitted for any internal or external purposes. Inca reserves the right to use or not use any work submitted via this project.
For additional information about the Bounty program, please refer to our wiki page.

Background

Inca often uses "bounty projects" as introductory projects to vet potential employees or interns. These projects give interested individuals a chance to prove themselves, learn a bit about our company & products, and produce a useful result in the process. These projects are extremely independent and will require you to manage your own time and work process.

NTerminal is a data aggregation and analytics platform used for navigating the crypto-financial ecosystem. NTerminal's many data streams can be categorized into three general segments:

Financial data - Trade and order book data from exchanges and aggregation entities (price, size, trade-pair, volumes, etc.)
Natural Language data - Text-based data streams with keyword & sentiment analysis (social media posts, news articles, regulatory meeting minutes, etc.)
Technical data from Blockchains, mining pools, code fuzzing, github repositories, etc.

Don't hesitate to ask us questions by commenting in this issue or emailing us at [email protected].

EOS data integration - 500$

In GitLab by @anshlykov on Jul 23, 2019, 21:38

Bounty Description

This task is for creating a CDC (Content Delivery Chain) Source that periodically collects, normalizes, and forwards the data to Nakamoto Terminal’s pipeline.
Following this guide, you should modify the forked project to include the required functionality described below.
When done, you submit your work by setting a deployment::ready tag in your merge request.

Required Functionality

Docker image for EOS node;
Application based on Spring Boot to extract information about the blockchain;

General rules

Anyone can participate in getting this bounty. You do not need our approval to start working or to submit your results.
When you start working on the issue, please comment below to let everyone know that there might be potential competition.
When you are ready to submit your work, leave a comment in this issue with the link to your document and we'll get in touch with you regarding the bounty release or to help you make necessary changes to your submission.
We will pay the bounty as soon as we get a good quality submission that fulfills all of the requirements listed here.
By completing this project you agree to let Inca use any and all work submitted for any internal or external purposes. Inca reserves the right to use or not use any work submitted via this project.
For additional information about the Bounty program, please refer to our wiki page.

Background

Inca often uses "bounty projects" as introductory projects to vet potential employees or interns. These projects give interested individuals a chance to prove themselves, learn a bit about our company & products, and produce a useful result in the process. These projects are extremely independent and will require you to manage your own time and work process.

NTerminal is a data aggregation and analytics platform used for navigating the crypto-financial ecosystem. NTerminal's many data streams can be categorized into three general segments:

Financial data - Trade and order book data from exchanges and aggregation entities (price, size, trade-pair, volumes, etc.)
Natural Language data - Text-based data streams with keyword & sentiment analysis (social media posts, news articles, regulatory meeting minutes, etc.)
Technical data from Blockchains, mining pools, code fuzzing, github repositories, etc.

Resources

Don't hesitate to ask us questions by commenting in this issue or emailing us at [email protected].

Ethereum RPC source - $400

In GitLab by @anshlykov on Jul 6, 2019, 19:00

Bounty Description

This task is for creating a CDC (Content Delivery Chain) Source that periodically collects, normalizes, and forwards the data to Nakamoto Terminal’s pipeline.
You should start by forking a project that we created specifically for this bounty issue.
Following this guide, you should modify the forked project to include the required functionality described below.
When done, you submit your work by setting a deployment::ready tag in your merge request.

Required Functionality

API doc

automatic collection of new blocks and transactions

General rules

When you start working on the issue, please comment below to let everyone know that there might be potential competition.
When you are ready to submit your work, leave a comment in this issue with the link to your document and we'll get in touch with you regarding the bounty release or to help you make necessary changes to your submission.
We will pay the bounty as soon as we get a good quality submission that fulfills all of the requirements listed here.
By completing this project you agree to let Inca use any and all work submitted for any internal or external purposes. Inca reserves the right to use or not use any work submitted via this project.
For additional information about the Bounty program, please refer to our wiki page.

Background

Inca often uses "bounty projects" as introductory projects to vet potential employees or interns. These projects give interested individuals a chance to prove themselves, learn a bit about our company & products, and produce a useful result in the process. These projects are extremely independent and will require you to manage your own time and work process.

NTerminal is a data aggregation and analytics platform used for navigating the crypto-financial ecosystem. NTerminal's many data streams can be categorized into three general segments:

Financial data - Trade and order book data from exchanges and aggregation entities (price, size, trade-pair, volumes, etc.)
Natural Language data - Text-based data streams with keyword & sentiment analysis (social media posts, news articles, regulatory meeting minutes, etc.)
Technical data from Blockchains, mining pools, code fuzzing, github repositories, etc.

Resources

Don't hesitate to ask us questions by commenting in this issue or emailing us at [email protected].

Collect Twitter mentions of the specific topic: Uptime, negative sentiment - 25$

In GitLab by @alina.park on Jun 8, 2020, 16:09

The goal for this issue is to collect a minimum of 200 tweets in response to the uptime of the services - there're no hard requirements on the type of services

A suggested way to deal with the issue is the following:

Find relevant to the topic events - updates, service outages, etc.
You may use Google News for this (the search query could be ${Exchange Name} + ${Topic}). Example: “binance outage”
Use the search results to figure the dates of the event (example: the platform was down for an update on Nov 26th)
Filter Twitter results by date close to the event
For this issue, look for the tweets, customers commenting on the uptime of the service, or the service posting about an update/outage. As an example: a service posts "we're planning an update midnight EST, 26th Nov".
If you think the Tweet is relevant, add it to a CSV, using the following format:
“username, date, tweet-content, topic”

To better understand if the Tweet addresses the necessary topic, you can find examples of the positive support-related tweets here. You can also check out the tweets on uptime to get a better understanding of the topic.

Important note:

Do not Twitter-search for the topic-related keywords, such as “uptime” - instead, make sure to follow the steps, as described above. With that, filter Twitter search by dates and services' names only. (Example: search for “binance”, Nov 26-28)

To start the task:

Leave a comment in this GitLab issue.
In the comment, let us know you’ve started the task and mention the amount of time you will need to finish it.

Upon completion of the task:

Upload your CSV file to Google Drive and share it with [email protected]
Leave a comment in the issue, saying you’re done
Send an email to [email protected] with the info on the preferable payment method

Feel free to take a look at the issues on the rest of the topics below

Nicehash Task - $250

In GitLab by @anshlykov on Oct 1, 2019, 04:51

Bounty Description

This task is for creating a CDC (Content Delivery Chain) Source that periodically collects, normalizes, and forwards the data to Nakamoto Terminal’s pipeline.
You should start by forking a project that we created specifically for this bounty issue.
Following this guide, you should modify the forked project to include the required functionality described below.
When done, you submit your work by setting a deployment::ready tag in your merge request.

Required Functionality

Periodically collect data about mining algorithms. endpoint

API doc

General rules

Anyone can participate in getting this bounty. You do not need our approval to start working or to submit your results.
When you start working on the issue, please comment below to let everyone know that there might be potential competition.
When you are ready to submit your work, leave a comment in this issue with the link to your document and we'll get in touch with you regarding the bounty release or to help you make necessary changes to your submission.
We will pay the bounty as soon as we get a good quality submission that fulfills all of the requirements listed here.
By completing this project you agree to let Inca use any and all work submitted for any internal or external purposes. Inca reserves the right to use or not use any work submitted via this project.
For additional information about the Bounty program, please refer to our wiki page.

Background

Inca often uses "bounty projects" as introductory projects to vet potential employees or interns. These projects give interested individuals a chance to prove themselves, learn a bit about our company & products, and produce a useful result in the process. These projects are extremely independent and will require you to manage your own time and work process.

NTerminal is a data aggregation and analytics platform used for navigating the crypto-financial ecosystem. NTerminal's many data streams can be categorized into three general segments:

Financial data - Trade and order book data from exchanges and aggregation entities (price, size, trade-pair, volumes, etc.)
Natural Language data - Text-based data streams with keyword & sentiment analysis (social media posts, news articles, regulatory meeting minutes, etc.)
Technical data from Blockchains, mining pools, code fuzzing, github repositories, etc.

Resources

Don't hesitate to ask us questions by commenting in this issue or emailing us at [email protected].

Collect Twitter mentions of the specific topic: withdrawal, negative sentiment - 25$

The goal for this issue is to collect a minimum of 200 tweets in response to the funds' withdrawal at crypto custodians
(you can find one of the exchanges lists here, and examples of the events that are of our interest in this file).

A suggested way to deal with the issue is the following:

Find relevant to the topic events - frozen wallets, prolonged maintenance, etc. - anything that prevents people to transfer the money out, not related to actual hacks and obvious fraud.
You may use Google News for this (the search query could be ${Exchange Name} + ${Topic}). Example: “binance service outage”
Use the search results to figure the dates of the event (example: the exchange was on the maintenance on Nov 26th)
Filter Twitter results by date close to the event
For this issue, look for the tweets, negatively commenting on the opportunities of funds withdrawal of custody-providers services (example: unable to withdraw funds because of the maintenance of the exchange service).
If you think the Tweet is relevant, add this to a CSV, using the following format:
“username, date, tweet-content, topic”

To better understand if the Tweet addresses the necessary topic, you can find examples of the withdrawal-related tweets here

Important note:

Do not Twitter-search for the topic-related keywords, such as “withdrawal” - instead, make sure to follow the steps, as described above. With that, filter Twitter search by dates and Exchange names only. (Example: search for “binance”, Nov 26-28 because maintenance happened on Nov 26).

Feel free to ask questions by commenting the issue below and take a look at the issues on other topics in this folder.

To start the task:

Leave a comment in this GitHub issue.
In the comment, let us know you’ve started the task and mention the amount of time you will need to finish it.

Upon completion of the task:

Upload your CSV file to Google Drive and share it with [email protected]
Leave a comment in the issue, saying you’re done
Send an email to [email protected] with the info on the preferable payment method

Flag GitHub issues

We often come across situations when people unintentionally share sensitive information in GitHub Issue Tracker, such as names of clients or details of active investigations. Provide links to 2-3 tools you would use to automatically flag comments with sensitive content in our GitHub issue tracker.

Additional Resources

Please email [email protected] with your solution, and don't forget to include a link to this issue and attach your resume. Don't hesitate to ask us questions by commenting in this issue or emailing us at [email protected]

Successful submissions

🎉 @ingakaspar successfully solved the challenge and was hired by Inca Digital.

The challenge is still open. We are removing comments with correct answers to allow others to participate, so it is safe to assume that the answers listed below are incorrect.

Contact Farming for Business Outreach

In GitLab by @winn.caleb on Apr 30, 2019, 01:03

Background

Inca uses "bounty projects" as introductory projects to vet potential employees or interns. These projects give interested individuals a chance to exhibit their hard work, learn a bit about our company & products, and produce a useful result in the process. These projects are extremely independent and will require you to manage your own time and work process.

NTerminal is a data aggregation and analytics platform used for navigating the cryptofinancial ecosystem. NTerminal's many data streams can be categorized into three general segments:

Financial data - Trade and orderbook data from exchanges and aggregation entities (price, size, trade-pair, volumes, etc.)
Natural Language data - Text based data streams with keyword & sentiment analysis (social media posts, news articles, regulatory meeting minutes, etc.)
Technical data from Blockchains, mining pools, code fuzzing, github repositories, etc.

Description

Inca wants to build contacts across different industries. Your work will populate this spreadsheet

The spreadsheet is organized by company. Some contact information is difficult to find, and we recommend taking multiple avenues to collect the most complete contact information per company. Common starting points for finding names, emails, and phone numbers include:

LinkedIn
Reports/publications
Blogs/social media
YouTube/news media

You can use the first sheet in the spreadsheet as an example.

Tasks

Complete this spreadsheet pulling from LinkedIn, Reports/publications, blogs/social media, and YouTube/news media
You may pull from additional sources
Although it is discouraged, you may leave some fields blank, for example complete "email" and leave "phone" blank if unavailable
Definition of done: when >=20 contacts are provided for each sheet

Next Steps

If we like your work, and you are still interested in working more with Inca, we may offer you another project, an official internship/work position, and/or invite you to join our chat channels.

Additional Material

Please Comment on this issue to let us know if you are working on it, or have any questions.

By completing this project you agree to let Inca use any and all work submitted for any internal or external purposes. Inca reserves the right to use or not use any work submitted via this project.

Data Feed Discovery - Legislative Branch - Europe - $100

In GitLab by @evgenydmitriev on May 16, 2019, 13:28

Bounty Description

This task is for discovering data feeds that list recent publications and working documents of European legislators who might have an impact on the digital currency space.
We do not need the publications themselves, just the web pages where they are being listed and updated.
We need as many links to different feeds as you can find, even if they overlap.
The content of the page should be visible with JavaScript off. We prefer structured feeds such as RSS, XML, JSON, and file repositories, but will also take legislators web pages, custom APIs, and Twitter feeds.
We are willing to accept publication channels that are not affiliated with the legislators themselves as well as aggregators and specialized media outlets.
Each legislator should have a short description in English, but the feeds themselves can be in any language!
At least 20 legislative organizations need to be covered in your submission. Focus on the ones that have produced newsworthy blockchain-related content in the past, whether on the city, regional, country, or international level.
You can submit your work by sharing Google Document/Spreadsheet with us ([email protected]) so other bounty participants can't copy your work. We created an example of an executive branch report that focuses on relevant US Financial Regulator.

General rules

Anyone can participate in getting this bounty. You do not need our approval to start working or to submit your results.
When you start working on the issue, please comment below to let everyone know that there might be potential competition.
When you are ready to submit your work, leave a comment in this issue with the link to your document and we'll get in touch with you regarding the bounty release or to help you make necessary changes to your submission.
We will pay the bounty and close the issue as soon as we get a good quality submission that fulfills all of the requirements listed here.
By completing this project you agree to let Inca use any and all work submitted for any internal or external purposes. Inca reserves the right to use or not use any work submitted via this project.
For additional information about the Bounty program, please refer to our wiki page.

Resources

Don't hesitate to ask us questions by commenting in this issue or emailing us at [email protected].

Business Market Research - Identify Companies That Provide Digital Asset Data - $50

In GitLab by @winn.caleb on Oct 27, 2019, 19:46

Bounty Description

This task is for discovering financial data companies in the digital currency space.
We need company names and details for groups who provide financial data on digital assets, cryptocurrencies, or blockchain projects.
We need as many companies as you can find.
Each company identified should have a short description in English. At least 20 new organizations should be included in your submission.
You can submit your work by making a copy of this Google Sheet and sharing the copy with us ([email protected]) so other bounty participants can't copy your work. The linked Google Sheet serves as an example for the fields we need completed, and your work will add new companies as rows in the sheet.

Resources

We have used Crunchbase and Pitchbook for fundraising information. Feel free to go beyond these examples.
Bounty Program Wiki
Help with markdown
Inca Digital Securities website
NTerminal website

Rules

Anyone can participate in getting this bounty. You do not need our approval to start working or to submit your results.
When you start working on the issue, please comment below to let everyone know that there might be potential competition.
When you are ready to submit your work, leave a comment in this issue with the link to your document and we'll get in touch with you regarding the bounty release or to help you make necessary changes to your submission.
We will pay the bounty and close the issue as soon as we get a good quality submission that fulfills all of the requirements listed here.
By completing this project you agree to let Inca use any and all work submitted for any internal or external purposes. Inca reserves the right to use or not use any work submitted via this project.
For additional information about the Bounty program, please refer to our wiki page.

Background

Inca often uses "bounty projects" as introductory projects to vet potential employees or interns. These projects give interested individuals a chance to prove themselves, learn a bit about our company & products, and produce a useful result in the process. These projects are extremely independent and will require you to manage your own time and work process.

NTerminal is a data aggregation and analytics platform used for navigating the crypto-financial ecosystem. NTerminal's many data streams can be categorized into three general segments:

Financial data - Trade and order book data from exchanges and aggregation entities (price, size, trade-pair, volumes, etc.)
Natural Language data - Text-based data streams with keyword & sentiment analysis (social media posts, news articles, regulatory meeting minutes, etc.)
Technical data from Blockchains, mining pools, code fuzzing, github repositories, etc.

Don't hesitate to ask us questions by commenting in this issue or emailing us at [email protected].

Remittances KYC report summary

Write a report summary on KYC requirements for the top 3 remittance providers that leverage blockchain technologies in one of the following countries:

Afghanistan
Chile
Croatia
Dominican Republic
El Salvador
Ecuador
Iran
Kazakhstan
Morocco
Pakistan
Peru
Philippines
Saudi Arabia
Switzerland
Ukraine
United Arab Emirates
Vietnam

Additional Resources

Please email [email protected] with your solution, and don't forget to include a link to this issue and attach your resume. Don't hesitate to ask us questions by commenting in this issue or emailing us at [email protected]

🎉 @akouirouk successfully solved the challenge and was hired by Inca Digital.

Data Feed Discovery - Financial Regulators - Asia & Oceania - $100

In GitLab by @evgenydmitriev on May 10, 2019, 24:25

Bounty Description

This task is for discovering data feeds that list recent publications and working documents of Asian and Oceanian financial regulators who might have an impact on the digital currency space.
We do not need the publication themselves, just the web pages where they are being listed and updated.
We need as many links to different feeds as you can find, even if they overlap.
The content of the page should be visible with JavaScript off. We prefer structured feeds such as RSS, XML, JSON, and file repositories, but will also take regular web pages, custom APIs, and Twitter feeds.
We are willing to accept publication channels that are not affiliated with the regulators themselves as well as aggregators and specialized media outlets.
Each regulator should have a short description in English, but the feeds themselves can be in any language!
At least 20 financial regulators need to be covered in your submission. Focus on the ones that have produced newsworthy blockchain-related content in the past, whether on the regional, country, or international level.
You submit your work by sharing Google Document/Spreadsheet with us ([email protected]) so other bounty participants can't copy your work. We created an example of a report that focuses on relevant US Financial Regulators.

General rules

Anyone can participate in getting this bounty. You do not need our approval to start working or to submit your results.
When you start working on the issue, please comment below to let everyone know that there might be potential competition.
When you are ready to submit your work, leave a comment in this issue with the link to your document and we'll get in touch with you regarding the bounty release or to help you make necessary changes to your submission.
We will pay the bounty and close the issue as soon as we get a good quality submission that fulfills all of the requirements listed here.
By completing this project you agree to let Inca use any and all work submitted for any internal or external purposes. Inca reserves the right to use or not use any work submitted via this project.
For additional information about the Bounty program, please refer to our wiki page.

Background

Inca often uses "bounty projects" as introductory projects to vet potential employees or interns. These projects give interested individuals a chance to prove themselves, learn a bit about our company & products, and produce a useful result in the process. These projects are extremely independent and will require you to manage your own time and work process.

NTerminal is a data aggregation and analytics platform used for navigating the crypto-financial ecosystem. NTerminal's many data streams can be categorized into three general segments:

Financial data - Trade and order book data from exchanges and aggregation entities (price, size, trade-pair, volumes, etc.)
Natural Language data - Text-based data streams with keyword & sentiment analysis (social media posts, news articles, regulatory meeting minutes, etc.)
Technical data from Blockchains, mining pools, code fuzzing, github repositories, etc.

Resources

Don't hesitate to ask us questions by commenting in this issue or emailing us at [email protected].

Business Development - Identify Personnel and Contact Info

In GitLab by @AdamZarazinski on Nov 11, 2020, 21:52

100 investment advisor firms have been identified in the spreadsheet.

We need someone to assist:

Identifying relevant employees of the listed firms. This should be someone that either works with data and or technology within the company, or someone that specializes in digital currency or alternative investments.
Find the employee's LinkedIn profile and add it.
Find the employee's email address and add it.

That's it! Thank you and post here if you have any questions.

Develop Telegram stream source for Spring Cloud Dataflow streams - 500$

In GitLab by @penpyt on Jul 19, 2018, 15:25

Develop a telegramstream source component, which can be easily integrated into Spring Cloud Dataflow streams.

Toolset: JAVA, Spring, Spring-dataflow, docker

If you want to lock this issue to make sure no one else is working on it, please comment below and send us your resume at [email protected]. After your resume review, we'll add "in progress" tag and assign the issue to you. Upon request, we can also create an escrow job on one of the freelancer websites (Upwork, fl.ru, etc). All of this is optional - you can skip this step if you just want to show us the result.
You need to create a separate personal git project and provide the issue creator with access to your repository for code review.
Upon completion of the project, please add "release" branch, create merge request from master to release, assign the issue creator to it, and leave a comment here.
After resolving all our comments associated with the merge request, we'll release the payment, and move the project into our repository.

Component should

be dockerized.
communicate with a stream via RabbitMQ-broker.
be configured through spring-dataflow-dashboard GUI to receive initial input data: token (Telegram API token), channel (comma-separated list of channels to grab).
yields new messages from those channels to self-output in SCHEMA format.

following commands should be provided:

a command for building docker-image with the component;
a command for building application-metadata jar package companion.

Definition of done

all review discussions are closed.
docker-image with the component and the metadata-package are built successfully.

Collect Twitter mentions of the specific topic: Support, positive sentiment - 25$

In GitLab by @alina.park on Jun 8, 2020, 15:09

The goal for this issue is to collect a minimum of 200 tweets in response to the quality of Support - there're no hard requirements on the type of organizations - we are interested in the work of support services in general

A suggested way to deal with the issue is the following:

Find relevant to the topic events - hacks, bugs, service outages, etc. - you need to search for the events when the customers might have needed the Support services. You may use Google News for this (the search query could be ${Exchange Name} + ${Topic}). Example: “binance service outage”
Use the search results to figure the dates of the event (example: the exchange was hacked on Nov 26th)
Filter Twitter results by date close to the event
For this issue, look for the tweets, positively commenting on the work of the specific exchange’s Support services. As an example: a quick response from the support service, or any other sort of positive feedback on the phone or online support.
If you think the Tweet is relevant, add it to a CSV, using the following format:
“username, date, tweet-content, topic”

To better understand if the Tweet addresses the necessary topic, you can find examples of the positive support-related tweets here. You can also check out the tweets on support with negative sentiment to get a better understanding of the topic.

Important note:

Do not Twitter-search for the topic-related keywords, such as “support” - instead, make sure to follow the steps, as described above. With that, filter Twitter search by dates and services' names only. (Example: search for “binance”, Nov 26-28)

To start the task:

Leave a comment in this GitLab issue.
In the comment, let us know you’ve started the task and mention the amount of time you will need to finish it.

Upon completion of the task:

Upload your CSV file to Google Drive and share it with [email protected]
Leave a comment in the issue, saying you’re done
Send an email to [email protected] with the info on the preferable payment method

Feel free to take a look at the issues on the rest of the topics below

Medium Source Integration - $250

In GitLab by @ngans20 on Jul 24, 2019, 20:31

Bounty Description

This task is for creating a CDC (Content Delivery Chain) Source that regularly collects, normalizes, and forwards the data to Nakamoto Terminal’s pipeline.
You should start by forking the "medium-task" project that was created specifically for this bounty issue.
Following this guide, you should modify the forked project to include the required functionality described below.
When done, you submit your work by setting a deployment::ready tag in your merge request.

Important Information/resources

This source module will be used to improve agent data collection for Yupana (see internal source-integration issue)
Starting list of Medium accounts and agent tags
Other Agent Sources: reddit-agents, messari, icoholder
Current NLP module documentation
Medium API
Please make sure your scraping method is robust and can withstand slight changes in the page layout.

Functionality

Agent Metadata

Bio (with any linked social media accounts)
Number following/Followed by
Lists of accounts following (we don't need the followers)
Number of Articles
- Number of claps and number of comments if possible
Publications (that the user can edit)
Any Top Writer badges

General rules

Anyone can participate in getting this bounty. You do not need our approval to start working or to submit your results.
When you start working on the issue, please comment below to let everyone know that there might be potential competition.
When you are ready to submit your work, leave a comment in this issue with the link to your document and we'll get in touch with you regarding the bounty release or to help you make necessary changes to your submission.
We will pay the bounty as soon as we get a good quality submission that fulfills all of the requirements listed here.
By completing this project you agree to let Inca use any and all work submitted for any internal or external purposes. Inca reserves the right to use or not use any work submitted via this project.
For additional information about the Bounty program, please refer to our wiki page.

Background

Inca often uses "bounty projects" as introductory projects to vet potential employees or interns. These projects give interested individuals a chance to prove themselves, learn a bit about our company & products, and produce a useful result in the process. These projects are extremely independent and will require you to manage your own time and work process.

NTerminal is a data aggregation and analytics platform used for navigating the crypto-financial ecosystem. NTerminal's many data streams can be categorized into three general segments:

Financial data - Trade and order book data from exchanges and aggregation entities (price, size, trade-pair, volumes, etc.)
Natural Language data - Text-based data streams with keyword & sentiment analysis (social media posts, news articles, regulatory meeting minutes, etc.)
Technical data from Blockchains, mining pools, code fuzzing, github repositories, etc.

Resources

Don't hesitate to ask us questions by commenting in this issue or emailing us at [email protected].

Government Contract Resources - Europe

In GitLab by @diana.yerd on Dec 28, 2019, 19:53

Bounty Description

The task is to discover resources/aggregation websites on which blockchain-related contract opportunities European governments are posted.
We don't need the solicitations themselves, just the web pages they are being listed and updated at.
We need as many links to different feeds as you can find, even if they overlap. The feeds themselves can be in any language.
At least 15 different European government branches (examples include financial regulators, law enforcement, etc) need to be covered in your submission.
You need to submit your work by sharing Google Document/Spreadsheet with us ([email protected]) so that other participants can't copy your work. We created an example of a report that focuses on relevant US Legislative Branches.

General rules

Anyone can participate in getting this bounty. You do not need our approval to start working or to submit your results.
When you start working on the issue, please comment below to let everyone know that there might be potential competition.
When you are ready to submit your work, leave a comment in this issue with the link to your document and we'll get in touch with you regarding the bounty release or to help you make necessary changes to your submission.
We will pay the bounty and close the issue as soon as we get a good quality submission that fulfills all of the requirements listed here.
By completing this project you agree to let Inca use any and all work submitted for any internal or external purposes. Inca reserves the right to use or not use any work submitted via this project.
For additional information about the Bounty program, please refer to our wiki page.

Background

Inca often uses "bounty projects" as introductory projects to vet potential employees or interns. These projects give interested individuals a chance to prove themselves, learn a bit about our company & products, and produce a useful result in the process. These projects are extremely independent and will require you to manage your own time and work process.

NTerminal is a data aggregation and analytics platform used for navigating the crypto-financial ecosystem. NTerminal's many data streams can be categorized into three general segments:

Financial data - Trade and order book data from exchanges and aggregation entities (price, size, trade-pair, volumes, etc.)
Natural Language data - Text-based data streams with keyword & sentiment analysis (social media posts, news articles, regulatory meeting minutes, etc.)
Technical data from Blockchains, mining pools, code fuzzing, github repositories, etc.

Resources

Don't hesitate to ask us questions by commenting in this issue or emailing us at [email protected].

FinCEN Suspicious Activity Report

BuzzFeed and their partners released stories about a trove of almost 2,500 Suspicious Activity Reports (SARs) filed by banks with the Financial Crimes Enforcement Network (FinCEN) between 2000 and 2017. They included thousands of suspicious bank transactions totaling over $35B. In cooperation with BuzzFeed, the International Consortium of Investigative Journalists (ICIJ) published a dataset that includes detailed information on 4500 suspicious transactions. There's evidence that some leaked SARs involve cryptocurrency-related activity.

For example, on January 15, 2016, $1M was moved from the Bank of China’s account to Saigon Thuong Tin Commercial Joint Stock Bank, a Vietnam-based financial institution. One day prior to that, on January 14, 2016, a transfer of approximately the same amount ($1,003,862.21061 at the time) was spotted on Bitcoin blockchain to 3HNSiAq7wFDaPsYDcUxNSRMD78qVcYKicw address. This address received funds from a drained Cryptsy hot wallet, a now defunct cryptocurrency trading platform. Cryptsy’s CEO Paul Vernon claimed this was due to a hack, but was accused of stealing customer funds and is facing a class action lawsuit.

Try finding other suspiciously similar transactions using datasets listed below. You can use any tools/methods. Feel free to support your findings with datasets, graphs, and method description.

Datasets

Request access to datasets if you don't have it.

Additional Resources

Please email [email protected] with your solution, and don't forget to include a link to this issue and attach your resume. Don't hesitate to ask us questions by commenting in this issue or emailing us at [email protected]

Successful submissions

🎉 @NikitaZah solved the challenge and got hired by @inca-digital

Write Article Using NTerminal Exchange Data Subset - $50

In GitLab by @ngans20 on Apr 28, 2019, 09:32

Background

Inca often uses "bounty projects" as introductory projects to vet potential employees or interns. These projects give interested individuals a chance to prove themselves, learn a bit about our company & products, and produce a useful result in the process. These projects are extremely independent and will require you to manage your own time and work process.

NTerminal is a data aggregation and analytics platform used for navigating the cryptofinancial ecosystem. NTerminal's many data streams can be categorized into three general segments:

Financial data - Trade and orderbook data from exchanges and aggregation entities (price, size, trade-pair, volumes, etc.)
Natural Language data - Text based data streams with keyword & sentiment analysis (social media posts, news articles, regulatory meeting minutes, etc.)
Technical data from Blockchains, mining pools, code fuzzing, github repositories, etc.

Description

This issue is for creating an article to be used as a blog post. If your submission is accepted, your work may be published with your name as the author on Inca's Official Blog/Publishing outlets and posted on social media accounts. If we like your work, and you are still interested in working more with Inca, we may offer you another project, an official internship/work position, and/or invite you to join our chat channels.

Your article should show off interesting insights that can be gained through the NTerminal platform by using the data subsets and images provided here. You can be as creative as you want, and include any outside knowledge/research with proper citation, but the focus should be on highlighting NTerminal's data streams.

You can use this article as an example: https://www.linkedin.com/pulse/cryptofinancial-impact-bitfinex-news-nicholas-gans/

Article Using NTerminal Exchange Data Subset

This article should focus on insights NTerminal provides regarding cryptocurrency exchanges. There is no specific direction you need to take it, but your article should have some focus and make clear points. You can use the screenshots and data files provided directly in your article or reformat them in any way you see fit. Feel free to include your own analytics or calculations on data provided here.

NTerminal Dashboard Screenshots

Resources

Nakamoto Terminal data documentation
INCA_Exchange_Stats_Table.csv - as seen above
Exchnage_Mentions_and_Sentiment.csv - as seen above
Exchange_Price_Spread_Compare.csv

Additional Material:

Please Comment on this issue to let us know if you are working on it, or have any questions.

By completing this project you agree to let Inca use any and all work submitted for any internal or external purposes. Inca reserves the right to use or not use any work submitted via this project.

Data Feed Discovery - Legislative Branch - North America - $100

In GitLab by @evgenydmitriev on May 16, 2019, 13:34

Bounty Description

This task is for discovering data feeds that list recent publications and working documents of North American legislators who might have an impact on the digital currency space.
We do not need the publications themselves, just the web pages where they are being listed and updated.
We need as many links to different feeds as you can find, even if they overlap.
The content of the page should be visible with JavaScript off. We prefer structured feeds such as RSS, XML, JSON, and file repositories, but will also take regular web pages, custom APIs, and Twitter feeds.
We are willing to accept publication channels that are not affiliated with the legislators themselves as well as aggregators and specialized media outlets.
Each legislator should have a short description in English, but the feeds themselves can be in any language!
At least 20 legislative organizations need to be covered in your submission. Focus on the ones that have produced newsworthy blockchain-related content in the past, whether on the city, regional, country, or international level.
You can submit your work by sharing Google Document/Spreadsheet with us ([email protected]) so other bounty participants can't copy your work. We created an example of an executive branch report that focuses on relevant US Financial Regulator.

General rules

Anyone can participate in getting this bounty. You do not need our approval to start working or to submit your results.
When you start working on the issue, please comment below to let everyone know that there might be potential competition.
When you are ready to submit your work, leave a comment in this issue with the link to your document and we'll get in touch with you regarding the bounty release or to help you make necessary changes to your submission.
We will pay the bounty and close the issue as soon as we get a good quality submission that fulfills all of the requirements listed here.
By completing this project you agree to let Inca use any and all work submitted for any internal or external purposes. Inca reserves the right to use or not use any work submitted via this project.
For additional information about the Bounty program, please refer to our wiki page.

Resources

Don't hesitate to ask us questions by commenting in this issue or emailing us at [email protected].

Ethereum Receipts and Contracts - $550

In GitLab by @anshlykov on Aug 6, 2019, 14:45

Bounty Description

This task is for creating a CDC (Content Delivery Chain) Source that periodically collects, normalizes, and forwards the data to Nakamoto Terminal’s pipeline.
You should start by forking a project that we created specifically for this bounty issue.
Following this guide, you should modify the forked project to include the required functionality described below.
When done, you submit your work by setting a deployment::ready tag in your merge request.

Required Functionality

Add the collection of transaction receipts. https://gitlab.com/IncaSec/nterminal/cdc/libraries/blockchain-rpc-client
Create contracts address source. https://github.com/kvhnuke/etherwallet/blob/mercury/app/scripts/tokens/ethTokens.json
Create ETH address tags source: https://etherscan.io/accounts/label/exchange/

General rules

Anyone can participate in getting this bounty. You do not need our approval to start working or to submit your results.
When you start working on the issue, please comment below to let everyone know that there might be potential competition.
When you are ready to submit your work, leave a comment in this issue with the link to your document and we'll get in touch with you regarding the bounty release or to help you make necessary changes to your submission.
We will pay the bounty as soon as we get a good quality submission that fulfills all of the requirements listed here.
By completing this project you agree to let Inca use any and all work submitted for any internal or external purposes. Inca reserves the right to use or not use any work submitted via this project.
For additional information about the Bounty program, please refer to our wiki page.

Background

Inca often uses "bounty projects" as introductory projects to vet potential employees or interns. These projects give interested individuals a chance to prove themselves, learn a bit about our company & products, and produce a useful result in the process. These projects are extremely independent and will require you to manage your own time and work process.

NTerminal is a data aggregation and analytics platform used for navigating the crypto-financial ecosystem. NTerminal's many data streams can be categorized into three general segments:

Financial data - Trade and order book data from exchanges and aggregation entities (price, size, trade-pair, volumes, etc.)
Natural Language data - Text-based data streams with keyword & sentiment analysis (social media posts, news articles, regulatory meeting minutes, etc.)
Technical data from Blockchains, mining pools, code fuzzing, github repositories, etc.

Resources

Don't hesitate to ask us questions by commenting in this issue or emailing us at [email protected].

Twitter Accounts Source Integration - $250

In GitLab by @evgenydmitriev on Aug 17, 2019, 20:20

Bounty Description

This task is for creating a CDC (Content Delivery Chain) Source that regularly collects, normalizes, and forwards the data to Nakamoto Terminal’s pipeline.
This source module will be used to improve agent data collection for Yupana (see internal source-integration issue)
Following this guide, you should modify the "twitter-account-task" project that was created specifically for this bounty issue to include the required functionality described below.
Please make sure your scraping method is robust and can withstand slight changes in the page layout.
When done, you submit your work by setting a deployment::ready tag in your merge request.

Functionality

Agent Metadata

ID
Twitter Name
Display Name
Verified Account (true/false)
Account Age
Location
Bio (with any linked social media accounts)
Number following/followed by
Any additional files if available
Lists of accounts following (we don't need the followers) - relationship information should probably send it as separate events

Resources

Other Agent Sources: medium
Starting list of Twitter accounts and agent tags
Current NLP module documentation
Guide on creating a CDC (Content Delivery Chain) Source
Bounty Program Wiki
Inca Digital Securities website
NTerminal website
Twitter API tools (Python implementation)

General rules

When you start working on the issue, please comment below to let everyone know that there might be potential competition.
When you are ready to submit your work, leave a comment in this issue with the link to your document and we'll get in touch with you regarding the bounty release or to help you make necessary changes to your submission.
We will pay the bounty as soon as we get a good quality submission that fulfills all of the requirements listed here.
By completing this project you agree to let Inca use any and all work submitted for any internal or external purposes. Inca reserves the right to use or not use any work submitted via this project.
For additional information about the Bounty program, please refer to our wiki page.

Background

Inca often uses "bounty projects" as introductory projects to vet potential employees or interns. These projects give interested individuals a chance to prove themselves, learn a bit about our company & products, and produce a useful result in the process. These projects are extremely independent and will require you to manage your own time and work process.

NTerminal is a data aggregation and analytics platform used for navigating the crypto-financial ecosystem. NTerminal's many data streams can be categorized into three general segments:

Financial data - Trade and order book data from exchanges and aggregation entities (price, size, trade-pair, volumes, etc.)
Natural Language data - Text-based data streams with keyword & sentiment analysis (social media posts, news articles, regulatory meeting minutes, etc.)
Technical data from Blockchains, mining pools, code fuzzing, github repositories, etc.

Don't hesitate to ask us questions by commenting in this issue or emailing us at [email protected].

Collect Twitter mentions of the specific topic: Support, negative sentiment - 25$

In GitLab by @alina.park on Jun 4, 2020, 24:20

The goal for this issue is to collect a minimum of 200 tweets in response to the quality of Support services - there're no hard requirements on the type of organizations - we are interested in the work of support in general

A suggested way to deal with the issue is the following:

Find relevant to the topic events - ex: hacks, bugs, service outages, etc. - you need to search for the events when the customers might have needed the Support services.
You may use Google News for this (the search query could be ${Organization} + ${Topic}). Example: “binance service outage”
Use the search results to figure the dates of the event (example: the exchange was hacked on Nov 26th)
Filter Twitter results by date close to the event
For this issue, look for the tweets, negatively commenting on the work of the specific organization’s Support services. As an example: slow response time of the support service, or any other sort of complaints on the phone or online support.
If you think the Tweet is relevant, add it to a CSV, using the following format:
“username, date, tweet-content, topic”

To better understand if the Tweet addresses the necessary topic, you can find examples of the support-related tweets here.

Important note:

Do not Twitter-search for the topic-related keywords, such as “support” - instead, make sure to follow the steps, as described above. With that, filter Twitter search by dates and services' names only. (Example: search for “binance”, Nov 26-28)

To start the task:

Leave a comment in this GitLab issue.
In the comment, let us know you’ve started the task and mention the amount of time you will need to finish it.

Upon completion of the task:

Upload your CSV file to Google Drive and share it with [email protected]
Leave a comment in the issue, saying you’re done
Send an email to [email protected] with the info on the preferable payment method

Feel free to take a look at the issues on the rest of the topics below

Data Feed Discovery - Blockchain Address Attribution - $100

In GitLab by @evgenydmitriev on Jun 6, 2019, 23:54

Bounty Description

This task is for discovering data feeds that match individual cryptocurrency addresses to wallets and/or business entities (entity examples).
We do not need the addresses themselves, just the web pages where they are being attributed and updated.
We need as many links to different feeds as you can find, even if they overlap. The idea is to cover as many addresses as possible.
We prefer structured feeds formats (XML, JSON, and file repositories), but will also take regular web pages, custom APIs, and data dumps.
Each resource should have a short description in English.
At least 10 resources need to be covered in your submission. Focus on the ones that have the biggest coverage and are updated frequently.
You submit your work by sharing Google Document/Spreadsheet with us ([email protected]) so other bounty participants can't copy your work. We created an example of the report that shows what we want to see from you.

General rules

Anyone can participate in getting this bounty. You do not need our approval to start working or to submit your results.
When you start working on the issue, please comment below to let everyone know that there might be potential competition.
When you are ready to submit your work, leave a comment in this issue with the link to your document and we'll get in touch with you regarding the bounty release or to help you make necessary changes to your submission.
We will pay the bounty as soon as we get a good quality submission that fulfills all of the requirements listed here.
By completing this project you agree to let Inca use any and all work submitted for any internal or external purposes. Inca reserves the right to use or not use any work submitted via this project.
For additional information about the Bounty program, please refer to our wiki page.

Background

Inca often uses "bounty projects" as introductory projects to vet potential employees or interns. These projects give interested individuals a chance to prove themselves, learn a bit about our company & products, and produce a useful result in the process. These projects are extremely independent and will require you to manage your own time and work process.

NTerminal is a data aggregation and analytics platform used for navigating the crypto-financial ecosystem. NTerminal's many data streams can be categorized into three general segments:

Financial data - Trade and order book data from exchanges and aggregation entities (price, size, trade-pair, volumes, etc.)
Natural Language data - Text-based data streams with keyword & sentiment analysis (social media posts, news articles, regulatory meeting minutes, etc.)
Technical data from Blockchains, mining pools, code fuzzing, github repositories, etc.

Resources

Don't hesitate to ask us questions by commenting in this issue or emailing us at [email protected].

Develop Google Trends Source for Spring Cloud Dataflow streams - $200

In GitLab by @zfinzi on Mar 17, 2019, 23:04

Develop a googletrendstream source component, which can be easily integrated into Spring Cloud Dataflow streams.

Toolset: JAVA, Spring-dataflow, docker

If you want to lock this issue to make sure no one else is working on it, please comment below and send us your resume at [email protected]. After your resume review, we'll add "in progress" tag and assign the issue to you. Upon request, we can also create an escrow job on one of the freelancer websites (Upwork, fl.ru, etc). All of this is optional - you can skip this step if you just want to show us the result.
You need to create a separate personal git project and provide the issue creator with access to your repository for code review.
Upon completion of the project, please add "release" branch, create merge request from master to release, assign the issue creator to it, and leave a comment here.
After resolving all our comments associated with the merge request, we'll release the payment, and move the project into our repository.

Component should

be dockerized.
communicate with a stream via RabbitMQ-broker.
be configured through spring-dataflow-dashboard GUI to receive initial input * data: token, comma-separated list of channels.
yields new messages from those channels to self-output in SCHEMA format.
tests should be provided.
please, ask us about not-so-popular 3rd party libs, before using.

following commands should be provided:

a command for building docker-image with the component;
a command for building application-metadata jar package companion.

Definition of done

all review discussions are closed.
docker-image with the component and the metadata-package are built successfully.

Insurance Industry Market Research - $200

In GitLab by @evgenydmitriev on May 2, 2019, 24:57

Background

Inca often uses "bounty projects" as introductory projects to vet potential employees or interns. These projects give interested individuals a chance to prove themselves, learn a bit about our company & products, and produce a useful result in the process. These projects are extremely independent and will require you to manage your own time and work process.

NTerminal is a data aggregation and analytics platform used for navigating the cryptofinancial ecosystem. NTerminal's many data streams can be categorized into three general segments:

Financial data - Trade and order book data from exchanges and aggregation entities (price, size, trade-pair, volumes, etc.)
Natural Language data - Text-based data streams with keyword & sentiment analysis (social media posts, news articles, regulatory meeting minutes, etc.)
Technical data from Blockchains, mining pools, code fuzzing, github repositories, etc.

General rules

Anyone can participate in getting this bounty. You do not need our approval to start working or to submit your results.
We will pay the bounty and close the issue as soon as we get a good quality submission that fulfills all of the requirements listed here.
By completing this project you agree to let Inca use any and all work submitted for any internal or external purposes. Inca reserves the right to use or not use any work submitted via this project.
Please comment on this issue to let everyone know if you are working on it.
Don't hesitate to ask us questions by commenting in this issue or emailing us at [email protected].

Bounty Description

This issue is for market research to be done on crypto data opportunities in the insurance and reinsurance industry.
In order to participate, you need to create your own private project within GitLab and add @winn.caleb and @evgenydmitriev to it.

Issues

Within your project, you need to create separate issues for each company you do research on, similar to the example issue we created for you.
Please follow this wiki page that explains in detail what should be covered in your issue descriptions.
At least 20 companies need to be covered in your project.
When you finish, please comment in this issue and provide a link to your project. You will be contacted by one of our team members regarding the bounty release or to help you make necessary changes to your submission.

FAQ

Am I right understanding that the final goal of this task is to make easier for you to find potential users/clients of NTerminal in the insurance/reinsurance industry? [...This issue is for market research to be done on crypto data opportunities in the insurance and reinsurance industry.]

Yes, this is for us to better understand the insurance industry and select potential clients to contact.

Taking into account question 1, in case an insurance company is interested in blockchain technology (not cryptocurrencies, but rather private internal blockchain) and in theory does not need crypto market data, it is not suitable for the list?

The insurance company doesn't need to be interested in blockchain in any way - they need to be interested in insuring other businesses who work with cryptocurrency (custody, remittances, trading, etc).

In a market research wiki provided, it is stated to find "Relevant to us information - Their interest in blockchain in general and NTerminal in particular": regarding point "their interest in NTerminal in particular" - can I write about the interest based on my thoughts concerning the potential use of NTerminal for an insurance company? or is anything else meant by the point "their interest in NTerminal in particular"

Insurance companies might have a need for data streams that would fuel their risk models when it comes to insuring crypto-companies. For example, to insure an exchange, they would need to now how likely it is to get hacked or get sued. We have data streams that quantify those risks factors and would like to identify insurance companies that can take advantage of them.

Resources

Collect Twitter mentions of the specific topic: Security, positive sentiment - 25$

In GitLab by @alina.park on Jun 8, 2020, 15:54

The goal for this issue is to collect a minimum of 200 tweets in response to the security at crypto custodians
(you can find one of the exchanges lists here, and examples of the events that are of our interest in this file).

A suggested way to deal with the issue is the following:

Find relevant to the topic events - hacks, vulnerabilities, bugs, etc - anything that relates to security breaches at crypto custodians.
You may use Google News for this (the search query could be ${Exchange Name} + ${Topic}). Example: “binance service outage”
Use the search results to figure the dates of the event (example: the exchange was on the hacked on Nov 26th)
Filter Twitter results by date close to the event
For this issue, look for the tweets, negatively commenting on the security of custody-providers services
If you think the Tweet is relevant, add this to a CSV, using the following format:
“username, date, tweet-content, topic”

To better understand if the Tweet addresses the necessary topic, you can find examples of the security-related tweets here

Important note:

Do not Twitter-search for the topic-related keywords, such as “security” - instead, make sure to follow the steps, as described above. With that, filter Twitter search by dates and Exchange names only. (Example: search for “binance”, Nov 26-28 because the hack happened on Nov 26)

To start the task:

Leave a comment in this GitLab issue.
In the comment, let us know you’ve started the task and mention the amount of time you will need to finish it.

Upon completion of the task:

Upload your CSV file to Google Drive and share it with [email protected]
Leave a comment in the issue, saying you’re done
Send an email to [email protected] with the info on the preferable payment method

Feel free to take a look at the issues on the rest of the topics below

Collect Twitter mentions of the specific topic: hacker attack, negative sentiment - 25$

The goal for this issue is to collect a minimum of 200 tweets related to hacker attacks at crypto custodians
(you can find one of the exchanges lists here, and examples of the events that are of our interest in this file).

A suggested way to deal with the issue is the following:

Find relevant to the topic events - ddos, hacks, stolen funds, etc. - anything that relates to hacker attacks and security breaches at crypto custodians.
You may use Google News for this (the search query could be ${Exchange Name} + ${Topic}). Example: “binance stolen funds”
Use the search results to figure the dates of the event (example: the hacker attack happened on Nov 26th)
Filter Twitter results by date close to the event
For this issue, look for the tweets, negatively commenting on the hacker attack, security breach or stolen funds at custody-providers services (example: "If you have coins in {Exchange Name} you have just lost it all").
If you think the Tweet is relevant, add this to a CSV, using the following format:
“username, date, tweet-content, topic”

To better understand if the Tweet addresses the necessary topic, you can find examples of the hacker attack-related tweets here

Important note:

Do not Twitter-search for the topic-related keywords, such as “attack” - instead, make sure to follow the steps, as described above. With that, filter Twitter search by dates and Exchange names only. (Example: search for “binance”, Nov 26-28 because the attack happened on Nov 26).

Feel free to ask questions by commenting the issue below and take a look at the issues on other topics in this folder.

To start the task:

Leave a comment in this GitHub issue.
In the comment, let us know you’ve started the task and mention the amount of time you will need to finish it.

Upon completion of the task:

Upload your CSV file to Google Drive and share it with [email protected]
Leave a comment in the issue, saying you’re done
Send an email to [email protected] with the info on the preferable payment method

Develop Discordapp stream source for Spring Cloud Dataflow streams - 500$

In GitLab by @penpyt on Jul 19, 2018, 15:26

Develop a discordappstream source component, which can be easily integrated into Spring Cloud Dataflow streams.

Toolset: JAVA, Spring, Spring-dataflow, docker

If you want to lock this issue to make sure no one else is working on it, please comment below and send us your resume at [email protected]. After your resume review, we'll add "in progress" tag and assign the issue to you. Upon request, we can also create an escrow job on one of the freelancer websites (Upwork, fl.ru, etc). All of this is optional - you can skip this step if you just want to show us the result.
You need to create a separate personal git project and provide the issue creator with access to your repository for code review.
Upon completion of the project, please add "release" branch, create merge request from master to release, assign the issue creator to it, and leave a comment here.
After resolving all our comments associated with the merge request, we'll release the payment, and move the project into our repository.

Component should

be dockerized.
communicate with a stream via RabbitMQ-broker.
be configured through spring-dataflow-dashboard GUI to receive initial input data: token, comma-separated list of channels.
yields new messages from those channels to self-output in SCHEMA format.
tests should be provided.
please, ask us about not-so-popular 3rd party libs, before using.

following commands should be provided:

a command for building docker-image with the component;
a command for building application-metadata jar package companion.

Definition of done

all review discussions are closed.
docker-image with the component and the metadata-package are built successfully.

P2P markets report summary

Take 2 countries from the list below and write a comparative report summary on the p2p payment-based local markets. Feel free to add comparative graphs and tables to illustrate your points:

Afghanistan
Chile
Croatia
Dominican Republic
El Salvador
Ecuador
Iran
Kazakhstan
Morocco
Pakistan
Peru
Philippines
Saudi Arabia
Switzerland
Ukraine
United Arab Emirates
Vietnam

Additional Resources

Please email [email protected] with your solution, and don't forget to include a link to this issue and attach your resume. Don't hesitate to ask us questions by commenting in this issue or emailing us at [email protected]

Data Feed Discovery - Legislative Branch - Asia & Oceania - $100

In GitLab by @evgenydmitriev on May 16, 2019, 13:30

Bounty Description

This task is for discovering data feeds that list recent publications and working documents of Asian & Oceanian legislators who might have an impact on the digital currency space.
We do not need the publications themselves, just the web pages where they are being listed and updated.
We need as many links to different feeds as you can find, even if they overlap.
The content of the page should be visible with JavaScript off. We prefer structured feeds such as RSS, XML, JSON, and file repositories, but will also take regular web pages, custom APIs, and Twitter feeds.
We are willing to accept publication channels that are not affiliated with the legislators themselves as well as aggregators and specialized media outlets.
Each legislator should have a short description in English, but the feeds themselves can be in any language!
At least 20 legislative organizations need to be covered in your submission. Focus on the ones that have produced newsworthy blockchain-related content in the past, whether on the city, regional, country, or international level.
You can submit your work by sharing Google Document/Spreadsheet with us ([email protected]) so other bounty participants can't copy your work. We created an example of an executive branch report that focuses on relevant US Financial Regulator.

General rules

Anyone can participate in getting this bounty. You do not need our approval to start working or to submit your results.
When you start working on the issue, please comment below to let everyone know that there might be potential competition.
When you are ready to submit your work, leave a comment in this issue with the link to your document and we'll get in touch with you regarding the bounty release or to help you make necessary changes to your submission.
We will pay the bounty and close the issue as soon as we get a good quality submission that fulfills all of the requirements listed here.
By completing this project you agree to let Inca use any and all work submitted for any internal or external purposes. Inca reserves the right to use or not use any work submitted via this project.
For additional information about the Bounty program, please refer to our wiki page.

Resources

Don't hesitate to ask us questions by commenting in this issue or emailing us at [email protected].

Collect Twitter mentions of the specific topic: law enforcement, negative sentiment - 25$

The goal for this issue is to collect a minimum of 200 tweets in response to law enforcement related to crypto custodians
(you can find one of the exchanges lists here, and examples of the events that are of our interest in this file).

A suggested way to deal with the issue is the following:

Find relevant to the topic events - potential litigation, enforcement actions, court proceedings, etc. - anything that relates to law enforcement regarding crypto custodians.
You may use Google News for this (the search query could be ${Exchange Name} + ${Topic}). Example: “binance service outage”
Use the search results to figure the dates of the event (example: the exchange was on the maintenance on Nov 26th)
Filter Twitter results by date close to the event
For this issue, look for the tweets, negatively commenting on the opportunities of funds withdrawal of custody-providers services (example: unable to withdraw funds because of the maintenance of the exchange service).
If you think the Tweet is relevant, add this to a CSV, using the following format:
“username, date, tweet-content, topic”

To better understand if the Tweet addresses the necessary topic, you can find examples of the law enforcement-related tweets here

Important note:

Do not Twitter-search for the topic-related keywords, such as “law” - instead, make sure to follow the steps, as described above. With that, filter Twitter search by dates and Exchange names only. (Example: search for “binance”, Nov 26-28 because maintenance happened on Nov 26).

Feel free to ask questions by commenting the issue below and take a look at the issues on other topics in this folder.

To start the task:

Leave a comment in this GitHub issue.
In the comment, let us know you’ve started the task and mention the amount of time you will need to finish it.

Upon completion of the task:

Upload your CSV file to Google Drive and share it with [email protected]
Leave a comment in the issue, saying you’re done
Send an email to [email protected] with the info on the preferable payment method

1712n / challenge Goto Github PK

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