Proof Engine

Overview

The labor market on the Internet is densely populated, making talent filtering a challenging task. Proof Engine aims to address this issue by empowering talent through an innovative filtering mechanism.

Problem Statement

The internet labor market is crowded, which complicates talent filtering. Several challenges arise:

• For those without prior client experience, breaking into the industry is difficult.
• Post-project evaluations often emphasize client reviews over work quality.
• Work sharing lacks a social dimension, necessitating significant time for work analysis.
• Clients and employers face difficulty in efficiently evaluating work portfolios.

Solution: Proof Engine

Let's follow the Bitcoin's proof-of-work Proof Engine is designed to solve these problems by enabling users to showcase their skills and work through third-party integrations like GitHub and Figma. It gathers data, analyze them and generates comprehensive reports that serve as proof of their capabilities and expertise.

Key Objectives

• Provide an open-source algorithm to gather, analyze, and generate reports on proof-of-work.
• Offer a reliable and standardized proof of work based on integrated third-party apps.
• Enhance talent filtering by giving prominence to work quality and expertise.
• Facilitate collaboration and team formation based on proof of work.

Use Cases

Freelance Marketplaces

• Simplify talent filtering in crowded freelance marketplaces.
• Enable newcomers to showcase their skills effectively, enhancing industry entry opportunities.
• Shift the emphasis from client reviews to work quality and expertise.

Work Sharing

• Improve the social aspect of work sharing, making it more interactive and engaging.
• Enable effective collaboration during events by providing a platform to analyze and discuss work.

Client/Employer Perspective

• Streamline the process for clients and employers to review and evaluate existing work portfolios.

Contributing

We welcome contributions from the community. To contribute, please follow the guidelines outlined in CONTRIBUTING.md.

License

This project is dual-licensed:

• MIT License (for contributors and personal use)
• Apache License 2.0 (for contributors and personal use)

For commercial use, please contact us to discuss licensing options and terms tailored to your needs.

See LICENSE-MIT and LICENSE-APACHE for more details.