What is is a product designed to revolutionize the way gamers and streamers capture and share their most exciting moments. It's a tool that automates the process of watching Twitch and YouTube streams and intelligently identifies and clips key highlight reels. This cutting-edge technology primarily targets gaming enthusiasts, content creators, and anyone keen on documenting their virtual triumphs without the hassle of manual editing.

Automated highlight captured with

source: reelclips youtube

The Inspiration

The inspiration behind stems from a common pain point experienced by streamers and viewers alike: the challenge of capturing and sharing the peak moments of gameplay. Traditionally, streamers had to manually record or mark highlights during their gameplay, which could be both distracting and time-consuming. was envisioned as a solution to streamline this process, making it more efficient and user-friendly.

How It Works employs a sophisticated convolutional neural network (CNN) to analyze live gameplay footage. The core functionality hinges on the CNN's ability to predict changes in the game's kill count digit, a common indicator of significant action in many popular games. Once a change is detected, the system automatically clips a 60-second segment, comprising 30 seconds before and after the event. This automated process ensures that the most thrilling and pivotal moments of gameplay are captured without any manual intervention.

Technical Highlights

  1. Convolutional Neural Network: At the heart of is a trained CNN. This advanced machine learning model is adept at processing and analyzing visual data, making it ideal for detecting subtle changes in the gaming interface, such as the kill count.

  2. Automated Clipping: The system intelligently captures a 20-second clip surrounding a key event. This automated process is a significant advancement over traditional manual clipping, offering a seamless and efficient way to document highlights.

  3. Multi-Platform Support: is designed to work with both Twitch and YouTube streams, offering versatility and catering to a broad audience of content creators.

Why is Interesting stands out for several reasons:

  • Innovation in Game Streaming: It introduces a novel approach to capturing game highlights, leveraging AI in a unique and practical way.
  • Enhanced Viewer Engagement: By automating the clipping process, it enables creators to focus on gameplay and interaction, thereby enhancing the overall streaming experience.
  • Ease of Use: The platform's user-friendly interface and automated processes make it accessible to streamers of all skill levels.


Cost of Processing Streams

One of the significant challenges faced by is the cost associated with processing live streams. The nature of this technology requires continuous monitoring of the stream to accurately capture highlights, which involves substantial computational resources. Given that high-quality streams, especially in HD, demand significant processing power, managing these costs while maintaining efficient performance is a critical challenge.

Continuous Monitoring

The requirement for continuous monitoring of streams presents both a technical and a logistical challenge. needs to be constantly vigilant, analyzing every frame of the stream in real-time to detect the precise moment when a highlight occurs. This uninterrupted monitoring demands robust and resilient infrastructure, which must be maintained and managed effectively to ensure seamless service.

Storage Costs

Another major challenge is the storage cost. Each stream, particularly those in HD, can consume several gigabytes of data due to the lengthy duration of gaming streams. Storing these large volumes of data, even temporarily, incurs significant costs. Furthermore, as the platform scales and accommodates more users, the aggregate storage requirements increase exponentially, making efficient data management and cost-effective storage solutions essential.

Balancing Quality and Efficiency

Maintaining the balance between high-quality output and operational efficiency is also a challenge. High-definition streams offer the best viewer experience but are more demanding in terms of processing and storage. Finding the optimal balance between delivering high-quality clips and managing the resources required for processing and storing these clips is a continual process of optimization and adjustment.

Market Findings

Customer Interviews and Feedback

As part of our market research, conducted extensive customer interviews with several streamers, demonstrating the technology and its workflow. These interviews provided invaluable insights into the needs and preferences of our target audience. Streamers, ranging from amateurs to professionals, expressed significant interest in the platform, highlighting its utility and the value it adds to their streaming experience.

The common sentiment among the interviewees was that effectively addresses a major pain point in content creation – the time-consuming process of manually selecting and editing highlight clips. The automated, AI-driven approach of was particularly appreciated for its ability to save time and effort, allowing streamers to focus more on their performance and interaction with the audience.

Pricing Insights

An essential aspect of our market research was price discovery. We explored various pricing models to understand what our potential customers would be willing to pay for the service. The feedback was quite consistent, with most customers suggesting a price range between $15 to $20 per month. This price point was seen as reasonable and accessible, especially considering the time and effort saved by using

This pricing feedback is instrumental in helping us structure our subscription plans. It strikes a balance between making the platform accessible to a wide range of streamers, from hobbyists to professionals, and ensuring the sustainability and growth of the platform.

Economic Model: Cost per Customer Analysis

To understand the economic viability of, we have calculated the cost per customer based on their streaming and storage requirements. Using AWS services, specifically S3 for storage and EC2 t3.micro instances for processing, we can break down the costs as follows:

  1. Streaming Data Usage Calculation:
  • Hours streamed per day: 5 hours
  • Stream rate: 3GB per hour (full HD)
  • Days per month: 28 days
  • Monthly data usage per customer: 5 hours/day * 3 GB/hour * 28 days = 420 GB per month
  1. Storage Cost (AWS S3):
  • As of April 2023, S3 standard storage costs approximately $0.023 per GB for the first 50 TB per month.
  • Monthly storage cost for a customer: 420 GB * $0.023/GB = $9.66
  1. Processing Cost (AWS EC2 t3.micro):
  • An EC2 t3.micro instance costs approximately $0.0104 per hour.
  • Assuming continuous operation (24/7) for each customer's instance: 24 hours/day * 28 days = 672 hours
  • Monthly instance cost for a customer: 672 hours * $0.0104/hour = $6.99
  1. Total Cost per Customer per Month:
  • Combining both storage and processing costs, the total cost per customer per month is approximately $16.65.

In evaluating our pricing model for, we face a challenging economic landscape. The total cost per customer, calculated at approximately $16.65 per month, puts us at a delicate point in the market. Considering that most customers are willing to pay between $15 and $20 per month, our margins are notably thin.

This narrow margin highlights a concern: the service, especially with high-quality, full HD streaming, is relatively expensive to start and maintain. While we are able to cover operational costs, the room for profit is limited, which could impact our long-term sustainability and ability to scale.


As I reflect on the project, I realize that while the journey has ended, the lessons learned are invaluable. Through customer discovery, I gained a deeper understanding of market needs and user expectations. The complexities of cost modeling, especially for a video-based machine learning system, taught me the delicate balance of financial viability and technological innovation. Though won't continue, the experience has been a profound teacher in the art of tech entrepreneurship. These insights will undoubtedly shape my future endeavors in the ever-evolving world of technology.