Here’s an Emoji Code Reviewer Leaderboard idea, ranking reviewers based on their feedback quality, speed, and impact. You can use different emoji categories to make it engaging!

🚀 Code Review Leaderboard

Legend:

• 🏆 Reviews Done – Number of PRs reviewed
• ⚡ Speed – How quickly feedback is given
• 🎯 Accuracy – How precise the feedback is
• 🔥 Impact – How many suggestions led to improvements

Would you like any modifications, such as adding more reviewers, adjusting scoring, or including more emoji variations? 😊

🥓 BACON: Blockchain-Assisted Contribution Network (Solana-Powered)

BACON is a next-generation Solana-based token system designed to incentivize engagement and contributions within the OWASP BLT ecosystem. By leveraging Solana's high-speed, low-cost transactions, BACON introduces a transparent, secure, and gamified environment that rewards developers and contributors for their efforts—ultimately enhancing the quality and security of open-source software.

🚀 Key Features & Solana Integration Points

1️⃣ Incentivized GitHub Issue Resolution

• Minting and Rewarding: BACON tokens are minted and distributed via Solana's token program (SPL Tokens) as rewards for bug reports and issue resolutions in BLT.
• Proof of Authority (POA) Consensus: A Solana-based smart contract ensures transparent and fair distribution of rewards, encouraging rapid and effective problem-solving.
• Developer Rewards: Contributors earn BACON tokens for resolving issues, creating a gamified ecosystem that boosts productivity and engagement.

2️⃣ Trademark Monitoring & Early Alerts

• Solana-Powered Blockchain Integration: Trademark monitoring continuously scans USPTO databases, logs findings on Solana’s ledger, and alerts users of conflicts.
• Tamper-Proof Audit Trail: All monitoring activities are securely and immutably recorded on the Solana blockchain, protecting companies from brand infringements.

3️⃣ Company Scoreboard

• Blockchain-Backed Transparency: A public leaderboard secured on Solana ranks companies based on their responsiveness to security reports, ensuring accurate, tamper-resistant performance tracking.
• Public Recognition: Companies with top scores gain visibility and credibility in the open-source community.

4️⃣ SPL Token Issuance & Management

• Fungible Tokens on Solana: BACON tokens, issued as SPL tokens, can be easily transferred, traded, and utilized within BLT’s ecosystem.
• Seamless User Experience: Integration with Solana Pay enables frictionless transactions across applications like the BLT iOS and Flutter apps.

5️⃣ Leveraging Solana’s Latest Features

• Solana Program Library (SPL): Used for fast and secure BACON token transactions.
• Token Extensions: For permissionless and compliant token interactions within BLT.
• Compressed NFTs (cNFTs): Optional NFT-based badges for contributors.
• Solana Pay: Enables instant BACON transactions for bounties and rewards.

🛡️ Ensuring OWASP Compliance

Compliance with OWASP’s Non-Profit Status

• BACON supports OWASP’s mission by ensuring transparent financial activities.
• Funds are used for security initiatives, educational programs, and community support.

Transparency & Accountability

• Solana’s public ledger records all BACON transactions, ensuring full auditability.
• The community has visibility into all funds, maintaining trust and compliance.

Adherence to OWASP Sponsorship & Funding Guidelines

• BACON avoids conflicts of interest by ensuring decentralized governance.
• Funding sources are diversified to maintain neutrality and independence.

💡 Get Involved

• Contribute: Check out the OWASP BLT Contribution Guidelines.
• Learn More: Visit the OWASP BLT Wiki.
• Join the Discussion: Share your feedback, open an issue, or join the community chat.

🔹 BACON (Solana) is redefining open-source contributions with fast, secure, and transparent incentives. 🚀

🥓 BACON: Blockchain Assisted Contribution Network

BACON is a cutting-edge Bitcoin-based token system designed to incentivize engagement and contributions within the OWASP BLT ecosystem. By integrating with Bitcoin Core and utilizing the Runes protocol, BACON introduces a transparent, secure, and gamified environment that rewards developers and contributors for their efforts, ultimately enhancing the quality and security of open-source software.

🚀 Key Features and Integration Points

1. Incentivized GitHub Issue Resolution

• Minting and Rewarding: BACON tokens are minted as rewards when users report issues via the BLT bug logging tool. These tokens, created using the Runes protocol on Bitcoin, are fungible and can be traded or utilized within the BLT ecosystem.
• Proof of Authority (POA) Consensus: The system uses a POA mechanism to ensure transparent and fair distribution of rewards, encouraging rapid and effective problem-solving.
• Developer Rewards: Developers who resolve issues earn BACON tokens, creating a gamified environment that boosts productivity and engagement.

2. Trademark Monitoring and Early Alerts

• Blockchain Integration: The trademark monitoring feature continuously scans newly registered trademarks via the USPTO database, compares them against a company’s registered terms or domain names, and triggers alerts when potential conflicts are detected.
• Tamper-Proof Audit Trail: All monitoring activities are logged securely and immutably on the blockchain, helping companies protect their intellectual property.

3. Company Scoreboard

• Blockchain-Backed Transparency: A scoreboard that ranks companies based on their responsiveness to reported issues. This data is secured on the blockchain, ensuring accurate, tamper-resistant rankings.
• Public Recognition: Companies with the best scores are publicly recognized, motivating them to maintain high standards in their open-source contributions.

4. Runes Protocol for Token Issuance

• Fungible Tokens on Bitcoin: BACON tokens, issued directly on Bitcoin using the Runes protocol, are fungible and easily transferable within the BLT ecosystem, including via the BLT iOS app.
• Seamless User Experience: The Runes protocol integration ensures BACON tokens can be used across different applications within BLT, whether earning, trading, or spending them.

5. New Bitcoin Developments and Integration

• Leveraging Bitcoin Core Enhancements: BACON integrates with the latest Bitcoin Core developments, including Schnorr signatures, Taproot, and Lightning Network, to ensure transactions are secure, private, cost-effective, and scalable.
• Aligning with OWASP's Mission: These enhancements support OWASP's commitment to secure software and reliable transaction processes within the BLT ecosystem.

6. BLT Mobile Integration

• iOS App Functionality: The BLT iOS app fully integrates with BACON and the Runes protocol, allowing users to manage tokens, track contributions, and monitor their standings on the company scoreboard.
• Engagement on the Go: The app also supports notifications for trademark alerts, issue bounties, and other platform activities, keeping users informed and engaged wherever they are.

🛡️ Ensuring OWASP Compliance

Compliance with OWASP’s Non-Profit Status

• All financial activities involving BACON, including token minting, trading, and rewards, directly support OWASP’s mission of improving software security. This includes transparent use of funds for security initiatives, educational programs, and community support.

Transparency and Accountability

• Utilizing Bitcoin’s blockchain ensures that all BACON-related transactions are recorded in a public ledger, facilitating transparent audits and ensuring compliance with OWASP’s objectives. The community has full visibility into how funds are managed and used.

Adherence to OWASP’s Sponsorship and Funding Guidelines

• BACON maintains OWASP’s values by avoiding conflicts of interest and ensuring that sponsorships or donations do not improperly influence the project's direction. The platform diversifies its funding sources to maintain neutrality and independence, ensuring that all contributions support open-source security initiatives.

💡 Get Involved

• Contribute: Want to be a part of this innovative project? Check out our Contribution Guidelines to see how you can help.
• Learn More: Visit the OWASP BLT Wiki for detailed documentation and resources.
• Join the Discussion: Share your feedback and suggestions by opening an issue or joining our community discussions.

Protects brand integrity and legal standing, important for long-term growth.

The "Trademark and Domain Name Monitoring System" is a website feature that integrates with the USPTO database to help companies monitor newly registered trademarks that may match their search terms or domain names. This system enables companies to proactively identify potential intellectual property conflicts and take appropriate action.

Key components of the Trademark and Domain Name Monitoring System include:

USPTO Database Integration: The system directly connects to the USPTO database, allowing real-time access to trademark registration data without the need to maintain a separate database.

Search Term and Domain Name Matching: The system allows companies to input their search terms or domain names, and the advanced search functionality identifies newly registered trademarks that closely match or are similar to the specified terms or domain names.

Continuous Monitoring: The system continuously monitors the USPTO database for new trademark registrations that may match the company's search term or domain name and sends alerts when potential matches are found.

Customizable Alert Settings: Companies can customize alert settings to control the frequency of notifications and specify the types of potential matches they want to be informed about.

User-friendly Interface: The system provides a simple and intuitive interface for managing search term and domain name monitoring and alerts.

By integrating the Trademark and Domain Name Monitoring System into their website, companies can efficiently monitor newly registered trademarks that may match their search terms or domain names, enabling them to proactively address potential intellectual property conflicts and protect their brand's reputation and market position.

Project Summary: Gamification Integration for BLT Platform

The gamification project for the OWASP Bug Logging Tool (BLT) platform, titled "Fresh", aims to significantly enhance user engagement, motivation, and productivity through the integration of gamified elements. By adding features such as streak rewards, daily challenges, leaderboards, and peer recognition systems, the project seeks to transform routine tasks like daily check-ins into engaging activities that drive continuous participation and performance improvement.

Key Objectives:

1. Increase User Engagement: By introducing streaks, badges, and rewards, users are incentivized to consistently complete their daily check-ins and participate in platform activities.
2. Foster Team Collaboration: The addition of team-based goals, leaderboards, and peer recognition fosters a sense of community, encouraging teams to collaborate and compete in a friendly environment.
3. Enhance User Experience: The project focuses on delivering a cohesive and accessible experience across the BLT platform by integrating these gamified elements into existing features like user profiles, weekly activity summaries, and the "About Us" page.
4. Drive Continuous Improvement: With features like progress trackers and daily challenges, users are motivated to improve their productivity and contribution quality, benefiting both individual users and their teams.

Integration and Design:

The project will ensure seamless integration of gamification features with existing BLT components, maintaining a consistent visual theme and responsive design across all devices. Accessibility will be prioritized, ensuring that all users can fully engage with the platform regardless of their abilities.

Expected Outcomes:

• Higher User Retention: As users engage with the gamified elements, they are more likely to remain active on the platform, leading to sustained user retention.
• Improved Team Dynamics: By introducing competition and collaboration through team goals and leaderboards, the project is expected to improve overall team dynamics and productivity.
• Scalable Gamification Framework: The modular design of the gamification features will allow for future expansions, ensuring the system remains adaptable to new ideas and user needs.

In summary, the gamification project for the BLT platform is a strategic initiative to make daily interactions more engaging and rewarding, ultimately driving higher participation, better performance, and a more connected community within the platform.

Add an educational component to BLT so that users can learn along with mentors and potentially earn certifications.

Also add more videos to the video section, here are some ideas:

Demo Series: Create a series of videos showcasing how to use the bug logging tool. Start by demonstrating the basic features and then gradually move onto more advanced features.

Bug Fixing Series: Highlight how the tool can be used to fix bugs. Show real-life examples of bugs that have been logged on the website or app, and how they were resolved using the bug logging tool.

Case Studies Series: Share stories of how your tool helped various businesses and developers fix bugs and improve their workflow. Interview users and showcase their experiences with the tool.

Behind the Scenes Series: Offer a behind-the-scenes look at how the bug logging tool was developed. Highlight the technology stack, the design process, and the development team.

Feature Highlight Series: Highlight new features as they are added to the bug logging tool. Offer an overview of the feature and show how it can be used to improve the bug logging process.

Tips and Tricks Series: Provide tips and tricks on how to get the most out of the bug logging tool. Cover topics such as bug reporting best practices, how to communicate effectively with developers, and how to prioritize bugs.

Integration Series: Demonstrate how the bug logging tool integrates with other tools, such as project management software, version control systems, and communication tools.

User Feedback Series: Share user feedback and testimonials about the bug logging tool. Highlight positive reviews and address any negative feedback or criticisms.

Industry Insights Series: Provide insights into the broader industry trends and developments related to bug tracking and software development. Cover topics such as agile development, DevOps, and software testing.

Q&A Series: Offer a Q&A series where users can ask questions about the bug logging tool, its features, and how to use it effectively. Answer questions live or record video responses.

Web Monitoring System Implementation Plan

Overview

Enhances user trust by safeguarding privacy, critical for user retention.

Feature Development

Develop a feature that enables users to track changes or deletions of keywords in specified URLs, offering subscription plans and supporting a non-profit initiative.

• Allow customers to track their online presence and help take down links where they did not approve their personal info.

Summary

The web monitoring system to be implemented in Django will provide users with a user-friendly front-end interface to monitor URLs and keywords. Users will be able to choose between subscription plans, with the collected funds supporting bug hunters and covering operating costs as part of a non-profit initiative.

The implementation process involves:

1. Creating a Django model to store monitoring information.
2. Developing a management command using Python libraries like BeautifulSoup or Scrapy.
3. Setting up a scheduling mechanism with Heroku Scheduler.
4. Configuring a notification system.
5. Developing a front-end interface for user interactions.
6. Integrating a payment system and subscription management.

By implementing these features, a comprehensive and user-friendly web monitoring platform can be created that benefits both users and the non-profit initiative.

Implementation Steps

Step 1: Create the Django Model

• Define a Django model named Monitor with fields such as url, keyword, last_checked_time, status, and user.
• Include a ForeignKey relation to the User model to associate each monitored URL and keyword with a specific user.

Step 2: Develop the Management Command

• Create a custom Django management command that performs the web monitoring process.
• Utilize Python libraries like BeautifulSoup or Scrapy to extract content from the URL and check for the presence or absence of the keyword.
• Update the last_checked_time and status fields in the Monitor model accordingly after checking for the keyword.

Step 3: Set Up the Scheduling Mechanism

• Implement a scheduling mechanism, such as Heroku Scheduler, to regularly execute the monitoring command.
• Configure the schedule to check the URLs and keywords at your preferred interval (e.g., daily).

Step 4: Configure the Notification System

• Set up a notification system to alert users when the keyword is detected or removed.
• Use Django's built-in messaging framework, email notifications with Django's EmailMessage class, or integrate an external service like Twilio for SMS notifications.

Step 5: Develop the Front-End Interface

• Create a front-end interface using Django's template system.
• Implement forms to allow users to add, modify, or delete URLs and keywords and manage their subscription plans.

Step 6: Integrate a Payment System

• Incorporate a secure payment system, such as Stripe or PayPal, to facilitate payments for the subscription plans.
• Create two subscription plans: $1 per month per keyword monitored and $5 per month for the discovery plan.

Step 7: Implement User Authentication and Account Management

• Utilize Django's built-in authentication system to enable users to sign up, log in, and manage their accounts.
• Add views and templates for registration, login, and account management.
• (This step is done)

Step 8: Implement the Subscription Management System

• Create a Subscription model with fields such as user, plan, start_date, end_date, and status.
• Develop views and templates to handle billing, invoicing, and tracking of user subscriptions, or use third-party libraries or services to manage subscriptions.
• (This step is done, double-check the Subscription model)

Step 9: Allocate Funds to Support Bug Hunters and Cover Operating Costs

• As a non-profit initiative, transparently display information about the allocation of subscription fees on the front-end interface.
• Distribute funds to bug hunters and cover the operating costs of the web monitoring system.

By following these detailed steps, you can create a comprehensive, user-friendly web monitoring platform in Django that allows users to monitor URLs and keywords, choose subscription plans, and contribute to a non-profit initiative supporting bug hunters and operating costs.

References

• Obzrv.it
• Mozilla Monitor

New Project: Fresh - Daily Check-In Component for BLT

Fresh is a project designed to integrate a daily check-in component into the BLT platform, automating and streamlining the stand-up meeting process. This feature will allow users to log their daily progress, blockers, and goals directly within the BLT system, which can then be reviewed by team members and managers.

Key Features:

1. Automated Daily Check-In Prompt

   • Users will receive a daily notification or prompt to submit their stand-up report, including what they worked on, what they plan to work on, and any blockers they are facing.

2. Integration with Sizzle

   • Fresh will integrate seamlessly with the Sizzle time-tracking feature, pulling relevant data from users' time logs to suggest or pre-fill their progress updates.

3. Web and Mobile Accessibility

   • The stand-up component will be accessible via the BLT web interface and mobile app, allowing users to submit their updates from any device.

4. Team Overview Dashboard

   • A dashboard will be available for team leads and managers to view all team members' daily check-ins in one place, making it easier to identify blockers and track progress.

5. Stand-Up Report Archive

   • Fresh will archive all check-ins, allowing teams to review past updates and monitor long-term progress over time.

6. Automated Reminders

   • If a user misses their daily check-in, Fresh will send automated reminders, ensuring that everyone remains engaged and up-to-date with their tasks.

7. Customizable Questions

   • Teams can customize the stand-up questions to better fit their specific workflow, ensuring the tool is flexible and adaptable to different team dynamics.

Implementation Steps:

1. Develop Daily Check-In Prompt System

   • Create the daily prompt feature that reminds users to log their stand-up report. Include options for notifications via email or in-app.

2. Integrate with Sizzle for Progress Suggestions

   • Connect Fresh with the Sizzle time-tracking data to automatically suggest content for the user's stand-up report based on their tracked activities.

3. Build the Team Overview Dashboard

   • Develop a dashboard for team leads to view all daily check-ins, with filtering options by date, user, and task.

4. Design the Web and Mobile Interfaces

   • Ensure that Fresh is accessible through both the BLT web platform and mobile app, with a user-friendly interface for quick and easy check-ins.

5. Implement Stand-Up Report Archiving

   • Develop the archiving feature to store and manage historical stand-up reports for future reference and analysis.

6. Set Up Automated Reminders

   • Create a system that sends automated reminders to users who miss their daily check-in, ensuring consistent participation.

7. Allow for Customizable Stand-Up Questions

   • Provide options for teams to customize their daily stand-up questions, adapting to their specific needs and workflows.

Conclusion:

Fresh will bring structure and consistency to the daily stand-up process, ensuring that teams can easily track progress and address blockers in a timely manner. This tool will enhance team communication and productivity, making daily check-ins a seamless part of the BLT platform.

Simplified Project: Sizzle - Multi-Platform Time Tracking for BLT

Project Overview:

Sizzle is an enhanced time-tracking feature designed for integration into the existing BLT platform. It will allow users to automatically track time spent on GitHub-assigned issues, with availability across multiple platforms including desktop (Mac, Windows, Linux) and mobile (iOS, Android). The time-tracking functionality will be partially managed through the backend core API, and a web interface will also be available on the BLT website for easy access and management.

Key Features:

1. GitHub Integration:

   • Sizzle will authenticate users via their GitHub account and automatically retrieve the issues currently assigned to them. This ensures accurate and relevant time tracking focused on the user's assigned tasks.

2. Automated Time Logging:

   • Time tracking will start automatically when a user selects an issue to work on.
   • Every 30 minutes, the app will prompt the user to confirm they are still working on the issue. If there is no response within a set time, Sizzle will pause the timer to prevent inaccurate time logs.

3. Multi-Platform Availability:

   • Sizzle will be available as a Flutter-built application, ensuring compatibility across Mac, Windows, Linux, iOS, and Android. Users can choose their preferred platform to track time seamlessly.
   • The app will be optimized for each platform, ensuring a consistent and smooth user experience whether on desktop or mobile.

4. Local Operation with API Integration:

   • While Sizzle will primarily operate locally on the user's device to ensure privacy and control, it will integrate with the BLT backend core API for data synchronization and enhanced functionality.
   • Time logs can be synchronized with the BLT core via the API, ensuring that all data is backed up and accessible across different devices.

5. Web Interface on BLT Website:

   • In addition to the native app, a web interface will be available on the BLT website. Users can log in through their GitHub credentials to view and manage their time logs directly from the web.
   • This web interface will provide additional tools for reviewing, exporting, and analyzing time logs, making it easy for users to manage their time across various devices.

6. Simple UI:

   • The UI will be minimalistic, showing the current issue, time logged, and options to start, pause, or stop tracking. The design will be consistent across all platforms, making it intuitive for users to navigate and use.

7. Automatic Pausing:

   • If the user is inactive (i.e., does not respond to the 30-minute check-in prompt), Sizzle will automatically pause the timer, ensuring that only active working time is logged.

Implementation Steps:

1. GitHub API Integration:

   • Develop authentication and issue retrieval features using the GitHub API.

2. Timer and Prompts:

   • Implement the automated timer that starts when an issue is selected and prompts the user every 30 minutes to confirm activity.

3. Multi-Platform Flutter Builds:

   • Develop and test the app across Mac, Windows, Linux, iOS, and Android platforms.

4. Backend API Integration:

   • Connect the local app to the BLT backend core API to enable synchronization and remote management of time logs.

5. Web Interface Development:

   • Design and deploy a web interface on the BLT website, allowing users to manage their time logs online.

6. UI/UX Design:

   • Focus on creating a simple, intuitive user interface that works seamlessly across all platforms.

7. Testing and Feedback:

   • Test the app on various platforms, gather user feedback, and refine the functionality based on real-world use cases.

Conclusion:

Sizzle will bring a comprehensive and user-friendly time-tracking solution to the BLT platform, available on multiple platforms and integrated with the BLT core API. This project will make time management effortless for users working on GitHub-assigned issues, whether they're using a desktop, mobile device, or the web.

Project: Refactor BLT Website to Combine Companies and Teams into Organizations

Project Overview:

The Refactor to Organizations project aims to streamline the user experience on the BLT (Bug Logging Tool) platform by combining the existing "Companies" and "Teams" features into a unified "Organizations" structure. This refactor will simplify the navigation and management of entities on the platform, enhance collaboration within and between different groups, and provide a more cohesive structure for users to interact with.

Objectives:

1. Unified Structure: Merge the "Companies" and "Teams" features into a single "Organizations" entity that represents any group, whether it's a company, team, or community, making it easier for users to manage and participate in these groups.

2. Enhanced Collaboration: Provide tools within the "Organizations" structure that support better collaboration, such as shared dashboards, project tracking, and communication features.

3. Simplified User Experience: Refactor the UI and navigation to reduce complexity, ensuring that users can easily find and interact with their respective organizations without confusion between companies and teams.

4. Scalable Architecture: Design the new "Organizations" structure to be scalable, allowing it to accommodate a growing number of users and entities without performance degradation.

Key Features:

1. Organization Dashboard: A centralized dashboard where users can see all their affiliated organizations, access shared resources, and monitor ongoing projects.

2. Role-Based Access Control: Implement granular permissions within organizations, allowing for different roles such as Admin, Member, and Contributor, to manage access to various features and data.

3. Activity Streams: Provide activity logs and streams for each organization, showing recent contributions, updates, and communications within the group.

4. Integration with Existing Features: Ensure that all current functionalities linked to companies and teams, such as bug reporting, points accumulation, and leaderboard participation, are seamlessly integrated into the new "Organizations" model.

5. Migration Tool: Develop a migration tool that automatically transitions existing companies and teams into the new "Organizations" structure, preserving data, memberships, and histories.

Implementation Steps:

1. Analysis and Planning:

   • Conduct a detailed analysis of the current "Companies" and "Teams" features, identifying key similarities and differences.
   • Design a comprehensive plan to unify these into a single "Organizations" entity, including a new database schema and updated UI/UX designs.

2. Database Refactoring:

   • Modify the database to support the "Organizations" structure, ensuring that all relevant data is migrated and restructured accordingly.
   • Implement role-based access control at the database level.

3. Frontend Refactor:

   • Update the UI to reflect the new "Organizations" structure, including the development of a new dashboard, updated navigation menus, and refactored pages for viewing and managing organizations.
   • Ensure all links and references to "Companies" and "Teams" are updated to "Organizations."

4. Backend Refactor:

   • Modify backend logic to support the new unified model, including updates to API endpoints, business logic, and service layers.
   • Ensure that all backend processes that were previously distinct for companies and teams are consolidated and optimized.

5. Testing and Quality Assurance:

   • Conduct thorough testing of the new "Organizations" structure, including unit tests, integration tests, and user acceptance testing.
   • Validate the migration tool by running it in a staging environment before deploying it to production.

6. Deployment and Rollout:

   • Deploy the new "Organizations" structure to production in phases, starting with the migration of data followed by enabling the new frontend and backend systems.
   • Monitor the rollout closely to address any issues promptly and ensure a smooth transition for all users.

7. Post-Deployment Support:

   • Provide support and documentation for users to help them understand and navigate the new "Organizations" structure.
   • Collect feedback and make iterative improvements based on user experience.

Summary:

The Refactor to Organizations project is a strategic initiative to unify the "Companies" and "Teams" features on the BLT platform into a single "Organizations" structure. This change will simplify the user experience, enhance collaboration, and create a scalable system that can grow with the platform. By consolidating these entities, BLT will provide a more intuitive and powerful interface for managing groups and fostering community engagement in the bug logging ecosystem.

Overview:
The Decentralized Multi-Crypto Payment Integration feature enables the BLT website to accept various forms of cryptocurrencies as payment for bug testers, donations, and bug hunt rewards without relying on third-party services. This feature provides a seamless and secure way for users to contribute to the project and for bug hunters to be rewarded using their preferred cryptocurrencies.

🌞💻🥉 Shows contributor github username, commits, issues opened, issues closed, assigned issues, pull requests, total comments and more

Determining an open source contributor's value to a project can be challenging, as there are numerous ways in which someone can contribute. Here are some metrics and methods to evaluate a contributor's value:

• OWASP/BLT-Action#5

1. Commits: Number of code changes made to the repository.
2. Pull requests (PRs): Number of PRs created, merged, and reviewed.
3. Comments: Number of issue and PR comments made.
4. Slack messages: Number of messages and conversations in the project's chat channels.
5. Community engagement: Involvement in forums, mailing lists, social media, and other community platforms.
6. Documentation: Contributions to project documentation or tutorials.
7. Bug reports: Identifying, reporting, and resolving bugs.
8. Code quality: Improvements to code readability, efficiency, and performance.
9. Mentorship: Helping and guiding new contributors to the project.

To calculate and quantify some of these metrics, like Slack messages and community engagement, you can use the following approaches:

1. Message count: Count the number of messages sent by a contributor.
2. Sentiment analysis: Analyze the sentiment of a contributor's messages to gauge their positivity, negativity, or neutrality.
3. Engagement score: Calculate a score based on the number of reactions, replies, or upvotes a contributor's messages receive.

Some ways to game this system might include:

1. Inflating commit count with trivial changes.
2. Creating low-quality PRs or comments just to increase count.
3. Spamming chat channels or forums.
   To prevent gaming, consider the following:
4. Implement quality checks for code and PRs.
5. Monitor and limit trivial or redundant commits.
6. Use sentiment analysis to filter out low-quality or spammy messages.
7. Reward long-term, consistent contributions over short-term bursts of activity.

To incorporate a Bitcoin Cash (BCH) distribution system for rewarding contributors, follow these steps:

1. Set up a Bitcoin Cash wallet for the project to receive and distribute funds.
2. Assign a value (in BCH) to each metric or contribution type.
3. Track contributions using the metrics discussed above.
4. Calculate the total value earned by each contributor based on their contributions and the assigned values.
5. Periodically distribute BCH rewards to contributors according to their earned value, using the project's wallet.

Keep in mind that rewarding contributors with cryptocurrency may have tax and legal implications, so be sure to consult with a legal or financial expert before implementing such a system.

Ensures bug fixes are valid and effective, maintaining site integrity.

Bug Duplicate Detection and Verification System with Point-Based Incentives.

we will have a new token minted for each new bug, we will need trusted verifiers. These verifiers will be required to show proof of identity or some form of trustworthiness.

• https://github.com/OWASP/BLT-Bacon/issues/1

A web site feature that awards points for marking bugs as duplicates is a functionality that encourages users to identify and report duplicate bugs in a software application or website. This feature not only awards points to the user who initially identifies a duplicate bug, but also allows others to mark the bug as a duplicate, with only the first person to do so receiving points. If multiple users mark the same bug as a duplicate, the user who marked the bug first will receive the points.

In addition to this, if a third party verifies two bug reports as duplicates after they have been marked by different users, the user who marked the bug first will still receive the points, and the second user who marked the bug as a duplicate will also receive points. This encourages users to be diligent in their bug reporting and helps to ensure that all duplicate bugs are identified and reported accurately.

Here's how this updated feature might work:

1. When a user submits a bug report, the system automatically checks for any existing bug reports that match the same issue.
2. If a matching bug report is found, the user is notified that the report may be a duplicate and is asked to verify if the issue is the same.
3. If the user confirms that the issue is a duplicate, they can mark the report as such and receive points for being the first person to identify and report the duplicate bug.
4. Other users who subsequently identify the same bug as a duplicate will not receive points for doing so, but their mark will still be registered in the system.
5. If a third party verifies two bug reports as duplicates after they have been marked by different users, the user who marked the bug first will still receive the points, and the second user who marked the bug as a duplicate will also receive points.
6. The user who initially marked the bug as a duplicate is also given the option to merge the duplicate bug reports into a single report to reduce clutter and make it easier for the development team to track and address the issue.

This feature can be implemented with a points system that awards points only to the first user who marks a bug report as a duplicate, but also tracks the number of subsequent users who mark the same bug as a duplicate. If a third party verifies the duplicates, points will be awarded to the user who marked the bug first and the user who marked the bug second. The points can be accumulated over time and displayed on the user's profile or leaderboard. Users can also be given the option to redeem their points for rewards or recognition, such as badges, certificates, or other incentives.

By incentivizing users to identify and report duplicate bug reports, this feature helps to improve the efficiency and effectiveness of bug tracking and resolution. It also encourages users to collaborate and work together to improve the quality of bug reports and reduce duplicate efforts.```

Enhances site security through integrated pentesting tools. We will be providing Penteston with crowd testing services via an API

The vision is to find issues with penteston and push the findings into bugheist

The other workflow is to auth to bugheist and PULL targets from bugheist for security testing.

https://api.penteston.com/documentation/index.html

need updated api documents for this

The feature would allow users to follow a company's bug reports and receive email notifications when new bug reports are submitted. Users would be able to choose which companies to follow, and would receive an email notification each time a new bug report is submitted for the selected company. The email notification would include details such as the nature of the issue, the product or service affected, and the steps to reproduce the bug. To use this feature, users would need to create an account on the bug tracking system and opt-in to receive email notifications. The feature would provide users with a convenient way to stay up-to-date on the status of the company's products and services, and would enable them to report any issues they encounter more quickly and efficiently. This would help companies to identify and resolve bugs more quickly, and improve the overall user experience.

Allows companies to conduct private, paid bug bounties in a non-commercial way would enable companies to crowdsource security testing for their software systems while maintaining a high level of confidentiality.

Private Bug Bounties with Paid Incentives and Confidentiality.
A feature that allows companies to conduct private, paid bug bounties in a non-commercial way would enable companies to crowdsource security testing for their software systems while maintaining a high level of confidentiality. This feature would involve creating a closed bug bounty program that is accessible only to a select group of researchers who have been vetted by the company. The bounty program could be offered as a paid incentive to researchers who discover and report critical bugs in the company's software.

Here's how this feature might work:

The company would set up a private bug bounty program on a third-party platform, which would allow them to define the scope of the bounty, the types of vulnerabilities that are eligible for rewards, and the amount of compensation that will be offered for each bug.
The company would invite a select group of researchers to participate in the program, based on their experience, skills, and reputation in the security research community. The researchers would be required to sign a non-disclosure agreement (NDA) that would prohibit them from sharing any details about the vulnerabilities they discover with anyone outside the company.
The researchers would conduct security testing on the company's software systems and report any vulnerabilities they find through the bounty program's platform. The company would review each vulnerability report and determine whether it is eligible for a reward based on the bounty program's criteria.
The company would pay out rewards to the researchers who submit eligible vulnerabilities through the bounty program's platform. The researchers would be able to track their earnings and performance through a dashboard that displays their submissions, rewards, and overall ranking in the program.
This feature would allow companies to conduct private, paid bug bounties without the need for a commercial marketplace or public disclosure of vulnerabilities. It would help companies to identify and fix security vulnerabilities in their software systems more quickly and efficiently, while also building a relationship

This is for someone to create a bug hunt anonymously Allow anonymously adding a bug hunt. Payment will be made up front and bugs will need to be verified before payouts occur. This would allow anyone to open a bug hunt to a company.

Add anonymous participation option: Modify the platform's user registration and login process to allow users to participate anonymously without requiring them to provide personal information.

Mask user identities during bug reporting: Modify the bug reporting process to mask the user's identity, so that the bug hunters can remain anonymous.

Implement bug verification system: Set up a system of independent validators to verify the bugs reported by the bug hunters.

Secure payment process: Ensure that the payment process is secure and does not reveal the identity of the bug hunters.

Update terms of service and privacy policy: Update the platform's terms of service and privacy policy to reflect the changes made to the bug hunting process.

Test thoroughly: Thoroughly test the new feature to ensure that it is working correctly and that the anonymous bug hunters are able to participate seamlessly. Conduct user acceptance testing to gather feedback from the bug hunters and ensure that they are comfortable with the new process.

🌞💻🥉 a comprehensive dashboard of stats and information for organizations that is public data so the world can see what is going on with them in terms of bugs, jobs everything that would make sense to display for an organization even stock ticker price.

Task Description: Cyber Security Dashboard

Background

As a company dealing with sensitive data, it is crucial to keep track of our cyber security stats to ensure the safety and integrity of our systems. We need to have a comprehensive view of all the security-related incidents, events, and activities in our network.

Task

Your task is to create a cyber security dashboard that provides a complete overview of our cyber security posture. The dashboard should be accessible to all relevant stakeholders in the company, including security analysts, IT administrators, and executives.

Requirements

The dashboard should include the following components:

• Summary of security incidents: A summary of all the security incidents that have occurred over the last month, including the severity level, status, and affected systems.

• Threat intelligence: A real-time feed of the latest threat intelligence, including information on the most recent malware, phishing attempts, and other security threats.

• Network traffic analysis: A visualization of the network traffic that shows how traffic is flowing between different systems and how much traffic each system is generating.

• User behavior analytics: A dashboard that analyzes user behavior and identifies any suspicious activity, such as attempts to access sensitive data or unusual login patterns.

• Vulnerability management: A summary of all the vulnerabilities that have been identified in our systems, including their severity level, status, and recommended remediation steps.

• Compliance monitoring: A dashboard that monitors compliance with relevant regulations and standards, such as PCI DSS or HIPAA.

Evaluation

Your cyber security dashboard will be evaluated based on the following criteria:

• Completeness: Does the dashboard provide a complete overview of our cyber security posture?

• Usability: Is the dashboard user-friendly and easy to navigate?

• Accuracy: Does the dashboard provide accurate and up-to-date information?

• Customizability: Can the dashboard be customized to meet the specific needs of different stakeholders?

• Visual appeal: Is the dashboard visually appealing and easy to understand?

Deliverables

You are expected to deliver the following:

• A fully functional cyber security dashboard that meets the requirements outlined above.

• Documentation on how to use and customize the dashboard.

• A presentation that explains the design choices you made and how the dashboard meets the evaluation criteria.

Resources

You may use any tools or technologies to create the dashboard, as long as they meet our security requirements. You will have access to our network logs, threat intelligence feeds, vulnerability scanners, and compliance reports.

automate the synchronization of issue statuses between GitHub and the BLT website. When an issue is closed on GitHub, it should automatically be marked as closed on the BLT website.

Project Report: Integration of GitHub Issues with BLT Website via Webhook
Objective
The primary goal of this project is to automate the synchronization of issue statuses between GitHub and the BLT website. When an issue is closed on GitHub, it should automatically be marked as closed on the BLT website. This automation aims to streamline the workflow, reduce manual overhead, and ensure consistency across platforms.

Tasks

Webhook Setup on GitHub
Task 1.1: Research and document the process for creating a webhook in GitHub. This documentation should include the necessary steps to add a webhook to a repository, focusing on what events should trigger the webhook (specifically, the closing of an issue).
Task 1.2: Define the Payload URL. This URL will be the endpoint on the BLT website where GitHub webhook events will be received. It's crucial to ensure this URL is secure and can handle POST requests sent by GitHub.

Endpoint Implementation on BLT Website
Task 2.1: Develop a server endpoint on the BLT website. This endpoint must be capable of listening for incoming GitHub webhook events. The development will involve setting up a route that matches the Payload URL defined in Task 1.2 and configuring it to accept POST requests.
Task 2.2: Implement payload parsing logic. Once the webhook event is received, the server must parse the payload sent by GitHub to extract relevant information about the closed issue.

Task 2.3: Map GitHub issues to BLT website issues. Using the information extracted from the webhook payload, identify the corresponding issue on the BLT website that needs to be marked as closed. This task may require maintaining a mapping or using a unique identifier that is consistent across both platforms.

Periodic Monitoring as Fallback
Task 3.1: Implement a mechanism on the BLT website to periodically check the status of issues on GitHub. This task serves as a fallback to ensure that issues are synchronized even if the webhook fails or misses events.
Task 3.2: Develop logic to close issues on the BLT website based on the periodic checks. If an issue that is open on the BLT website is found to be closed on GitHub, the system should automatically mark it as closed on the BLT website.

Deployment and Testing
Task 4.1: Deploy the webhook integration to a staging environment. Before rolling out the changes to all active domains in the BLT project, it's essential to test the integration thoroughly in a controlled setting.
Task 4.2: Conduct thorough testing across different scenarios, including closing issues on GitHub, testing the fallback mechanism, and ensuring that the system works with multiple repositories.

Task 4.3: Document the setup process and any necessary configuration for future reference and for use in other projects or repositories within the BLT project.

Rollout to Production
Task 5.1: Once testing is complete and the system is verified to work as expected, proceed with the rollout to the production environment. This involves setting up the webhook and endpoint on all active domains within the BLT project.
Task 5.2: Monitor the system closely following the rollout to ensure it operates correctly and efficiently under real-world conditions. Address any issues or bugs that may arise promptly.

Summary
This project involves creating a seamless integration between GitHub and the BLT website to automate the closing of issues across both platforms. By implementing a webhook, developing a server endpoint to process events, and establishing a fallback mechanism for synchronization, we aim to enhance efficiency and maintain consistency in issue management.