The Agile Revolution: Turning 30,000 Twitch Videos into the Industry Change_

Overview

In today’s digital landscape, independent rights holders often wrestle with fragmented data and time-consuming processes. We reimagined copyright enforcement as a proactive, data-driven solution that modernizes legal practices and boosts operational efficiency across the industry.

This case study shows how our approach is making a tangible difference for rights holders everywhere.

Key Highlights

01

30,000 Twitch Videos Scanned in 7 Days

02

$300M Lawsuit Against Peloton Leading to a Licensing Overhaul

03

Minimal Extra Cost: ~$100 Over 7 Days for Enhanced Operations

04

Reduction from 500,000 to 50,000 High-Quality Records on YouTube

05

Up to 90% Reduction in Manual Claims Processing

The Challenge

  • An Overwhelming Volume of Unlicensed Content: Manual reviews couldn’t keep pace with the surge in unauthorized digital material.
  • Outdated, Fragmented Systems: Disjointed processes delayed critical decisions and hampered legal actions.
  • Scattered Data: Without a unified view, taking decisive action was a constant struggle.

The Journey

Turning the Tide in Legal Enforcement

In collaboration with the leading Performing Rights Organization (PRO), we set out to shift the industry’s course. Our agile system scanned 30,000 Twitch videos in just seven days – even when sudden API changes forced us to pivot using advanced proxy management and dynamic endpoint switching. This rapid response was more than a technical win; it provided the compelling evidence needed to drive a $300M lawsuit against Peloton, prompting them to overhaul their music licensing framework.

Identifying Copyright Violations on Twitch

Our system analyzed thousands of Twitch videos, uncovering widespread unauthorized music usage. By providing clear and actionable data, we supported legal efforts that helped rights holders address infringement more effectively, prompting shifts in industry practices.

Streamlining Monetization Optimization on YouTube

Manually reviewing thousands of songs each day was simply unsustainable. We automated the process by refining an initial scan of 500,000 records down to 50,000 high-quality records, ensuring that only the most relevant claims were flagged. By replacing YouTube’s clunky native system with an intuitive dashboard, we empowered rights holders to manage monetization optimizations effortlessly. This transformation not only reduced processing times but also significantly improved revenue recovery.

The Technology

  • Dynamic Scanning Logic: Agile proxy management and endpoint switching let the system adjust in real-time to platform changes and capture announced streams instantly.
  • Cost-Efficient Scalability: When extra resources are needed, the additional cost is minimal – less than $100 extra over 7 days.
  • Open-Source Integration: Leveraging tools like Scrapoxy ensures a steady and reliable flow of data, even against anti-scanning measures.

The Results

Our data-driven approach has delivered measurable outcomes:

01

Legal and Regulatory Impact

The evidence we gathered pushed major platforms like Peloton and Twitch to tighten their licensing practices, setting a new industry standard.

02

Operational Efficiency Gains

Automated systems now handle thousands of claims daily, slashing manual work by up to 90% and speeding up revenue recovery.

03

Industry-Wide Change

Streamlined processes and improved data accuracy have empowered rights holders to secure licensing fees, recover revenue, and drive meaningful change across the music industry.

Conclusion

Our journey – from fragmented, manual systems to an agile, automated platform – demonstrates how innovative technology can create real-world impact.

By combining precise data collection with strategic legal enforcement, we’ve empowered rights holders to protect their creative work and shape the future of music licensing.

This isn’t just about technology – it’s about building a more transparent, efficient, and fair industry for independent artists and rights holders alike.