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Overview

At Fastgen AI, we are committed to providing the highest quality data to power our active sourcing and candidate-matching solutions. This document outlines our current data providers and how we utilize them to find and enhance candidate profiles, ensuring comprehensive and up-to-date professional information.

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Core Principles

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Regular Review and Adjustment

To best serve our clients and maintain a dynamic, high-quality data platform, we regularly assess and, where necessary, add or replace data sources. This allows us to respond to emerging needs, new technologies, and advancements in data availability, always prioritizing the value and integrity of the information we provide.

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Compliance-Driven Selection

Our process for selecting and maintaining data sources is rooted in a rigorous feasibility and compliance evaluation. Before any new data source is integrated, we conduct an extensive review to assess its compliance with data privacy regulations (including GDPR, CCPA, and other relevant laws) and ensure that the information is gathered and used in accordance with the source’s terms of service. We also prioritize the accuracy, reliability, and relevance of the data, only selecting sources that meet our high standards for data quality.

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Data Privacy and Security

Data privacy and security are foundational to our operations. We apply industry best practices in data encryption, access control, and regular audits to safeguard all collected information. Our team members handling data are trained in compliance and privacy regulations, and we limit data access strictly to authorized personnel only. We operate with full transparency about our data handling practices and are dedicated to upholding users’ rights to privacy at every stage of our data collection and usage.

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Our Promise

By continuously refining our data sources and ensuring a compliance-first approach, we aim to build and maintain the trust of our clients and candidates. Our data sourcing practices are designed to ensure the highest standards of quality and ethical data use, reflecting our commitment to both security and transparency.

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Data Providers

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1. LinkedIn

Source Name and URL: LinkedIn (https://www.linkedin.com)

Description: A professional networking platform where users showcase their work experience, skills, and industry connections.

Data Types Collected: Job titles, work experience, education, skills, endorsements, and professional networks.

Purpose of Data Collection: Identifies potential candidates’ work experience, qualifications, and network connections relevant to open positions.

Data Collection Methodology: Data is collected via API access (where available) and scraping for publicly accessible profiles, ensuring terms of use compliance.

Data Quality and Validation: Cross-referenced with other sources to ensure accuracy; updated periodically.

Compliance and Legal Considerations: Adheres to LinkedIn’s terms of service and applicable privacy laws, with additional care for user consent where required.

Data Storage and Security: Stored in a secure, encrypted database with role-based access controls.

Access and Usage Restrictions: Accessible to recruitment and data science teams; not shared outside the organization.

Maintenance and Updates: Reviewed quarterly and updated based on changes to LinkedIn profiles and platform policies.

Additional Notes: Instrumental in identifying and verifying professional skills and experience, especially in corporate environments.

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2. People Data Labs

Source Name and URL: People Data Labs (https://www.peopledatalabs.com)

Description: Provides extensive datasets focused on enriching profiles with professional, educational, and demographic details.

Data Types Collected: Professional profiles, job history, education, skills, demographic information, and contact details.

Purpose of Data Collection: Enhances candidate profiles, offering a comprehensive view of their professional background and qualifications.

Data Collection Methodology: Accessed via API, allowing integration and automated updates directly into our platform.

Data Quality and Validation: Employs robust validation methods to ensure data accuracy, with real-time updates as per API configuration.

Compliance and Legal Considerations: Complies with People Data Labs’ terms of service, adhering to GDPR and CCPA guidelines.

Data Storage and Security: Data is securely stored in encrypted databases with strict access controls.

Access and Usage Restrictions: Internal access is limited to product development and data analysis teams; no data is shared externally.

Maintenance and Updates: Regularly updated via API; monitored by the engineering team for consistency and accuracy.

Additional Notes: This source is foundational for profile enrichment, providing structured and verified professional information.

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3. RocketReach

Source Name and URL: RocketReach (https://rocketreach.co)

Description: RocketReach offers a vast database of professional contact information, helping recruiters connect with potential candidates across various industries.

Data Types Collected: Email addresses, job titles, phone numbers, company information, and professional profiles.

Purpose of Data Collection: Enables direct outreach by providing verified contact information for potential candidates.

Data Collection Methodology: Data is accessed via API and real-time database queries, ensuring that information remains up-to-date and accurate.

Data Quality and Validation: RocketReach uses verification processes to maintain high data accuracy, especially for contact details.

Compliance and Legal Considerations: Adheres to privacy regulations and RocketReach’s terms of service, ensuring that only public and compliant data is collected.

Data Storage and Security: Contact data is securely stored with encryption protocols and role-based access control.

Access and Usage Restrictions: Limited to authorized team members in recruitment and sales; no data is shared with external parties.

Maintenance and Updates: Updated periodically to maintain accuracy, with RocketReach’s verification process helping ensure data relevance.

Additional Notes: RocketReach’s verified email and contact data improve direct communication with candidates, facilitating a more efficient outreach process.

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4. Crunchbase

Source Name and URL: Crunchbase (https://www.crunchbase.com)

Description: Crunchbase aggregates data on companies, startups, investments, and personnel changes, offering insights into professionals and companies within the tech and startup ecosystem.

Data Types Collected: Company and funding information, key team members, recent hires, industry details, and recent activities.

Purpose of Data Collection: Provides insights into a candidate’s company background, startup involvement, and industry impact, especially useful for understanding context within tech and entrepreneurial sectors.

Data Collection Methodology: Data is accessed via API and web-based scraping methods, focusing on publicly available information in compliance with Crunchbase’s terms.

Data Quality and Validation: Data is validated through cross-referencing with LinkedIn and other sources to ensure completeness and accuracy.

Compliance and Legal Considerations: Data collection adheres to Crunchbase’s terms of service, and only public information is gathered to respect privacy requirements.

Data Storage and Security: Stored securely with access restrictions, ensuring only authorized personnel have access to sensitive information.

Access and Usage Restrictions: Used primarily by research and recruitment teams for insights into company and personnel movements; no external sharing allowed.

Maintenance and Updates: Reviewed quarterly and updated as new data becomes available from Crunchbase.

Additional Notes: Crunchbase is highly valuable for identifying trends in company growth, hiring activities, and understanding a candidate’s role within the startup landscape.

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5. X (formerly known as Twitter)

Source Name and URL: Twitter (https://x.com)

Description: A social media platform where users post updates, engage in discussions, and share content, including professional insights and industry trends.

Data Types Collected: Public tweets, bio information, followers/following metrics, engagement on industry-relevant content.

Purpose of Data Collection: Understands professional interests, thought leadership, and public engagement on relevant industry topics.

Data Collection Methodology: Collected through Twitter’s API and via scraping for publicly accessible data, ensuring compliance with Twitter’s terms.

Data Quality and Validation: Verified for relevance by filtering posts that align with professional and industry-related content.

Compliance and Legal Considerations: Adheres to Twitter’s API terms and respects privacy limitations; sensitive or private content is excluded.

Data Storage and Security: Securely stored with encryption, access limited to teams handling sourcing analytics.

Access and Usage Restrictions: Access is restricted to the data analysis and recruitment teams; data is not shared externally.

Maintenance and Updates: Data updates are scheduled monthly, focusing on recent tweets and activity for active candidates.

Additional Notes: Offers valuable insights into candidates’ professional interests and online presence, especially for thought leadership roles.

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6. GitHub

Source Name and URL: GitHub (https://github.com)

Description: A code hosting platform used by developers to showcase open-source projects, collaborate, and track code contributions.

Data Types Collected: Repository contributions, coding languages, project involvement, commit history, and follower metrics.

Purpose of Data Collection: Evaluates technical skills, coding language expertise, and project contributions, especially relevant for software development roles.

Data Collection Methodology: Collected through public profiles and API integration, with repository and contribution data directly imported.

Data Quality and Validation: Validated by cross-referencing with LinkedIn and People Data Labs for professional alignment; updated periodically.

Compliance and Legal Considerations: Adheres to GitHub’s terms of service and only accesses publicly available information.

Data Storage and Security: Stored securely with restricted access, ensuring user privacy.

Access and Usage Restrictions: Limited to technical recruitment and product development teams; no third-party sharing is permitted.

Maintenance and Updates: Reviewed biannually and updated based on repository changes or user activity on GitHub.

Additional Notes: Provides insight into candidates’ coding expertise and contributions, particularly useful for roles requiring open-source involvement.