Scaling in Magnitudes: PromptLoop’s Success with Browserbase

PromptLoop empowers mid-market sales and go-to-market teams by enabling them to target the right accounts and boost win rates through efficient AI-powered automation. Their platform offers a seamless solution for navigating and analyzing thousands of company websites in real time, categorizing entities, and managing large-scale research tasks with ease. Leveraging Browserbase has become a pivotal move for PromptLoop, allowing them to scale web data retrieval effortlessly and focus engineering resources on core innovations.

“I think the ease of setup is really attractive. It is really just one line of additional code.”

- Andrew Mangan, Co-Founder, PromptLoop

The Challenge of Scaling Web Data Retrieval

For PromptLoop, maintaining reliable web data retrieval infrastructure was crucial for their AI research platform. They needed a solution that could handle thousands of simultaneous queries while keeping operational costs efficient and maintaining fast performance.

"It was often very tricky to manage the spiky nature of our customers because often customers will come to us with very large jobs where they're analyzing 10, 20, 30, 100,000 companies in a matter of hours. And so obviously, we're trying to do that as fast as we can. If we had a big spike, oftentimes the instances wouldn't scale up properly and so jobs would get dropped."

Before Browserbase, PromptLoop faced several challenges that impacted their ability to scale effectively:

• Managing their own browser infrastructure at scale

• Processing thousands of simultaneous web queries

• Keeping operational costs efficient while scaling

Building a Core Web Data Layer

Browserbase became a foundational part of PromptLoop's technology stack, serving as the backbone of their web extraction process. This transformation enabled them to focus on their core AI capabilities while maintaining reliable web automation.

"We're iterating constantly on how we're accessing websites and how we're better retrieving data, but we're not really worrying anymore about the browser being loaded, which is super helpful. Crossing off areas that can break allows us to focus on the more impactful changes."

The impact was immediate and significant across several key areas:

Efficient Browser Management

The platform manages thousands of browser instances efficiently, enabling PromptLoop to process 10,000+ rows of data simultaneously without performance issues. By reducing the need to manage and troubleshoot ECS deployments, Browserbase has freed up valuable backend DevOps time, allowing the team to focus on core development priorities.

Reliable Performance

The implementation of Browserbase ensures consistent performance and allows PromptLoop to consistently reach over a 95% success rate for accessible websites—a significant improvement from the previous 85-90% success rate. It ensures consistent performance even with thousands of simultaneous queries, maintaining PromptLoop’s commitment to their customers

Scalable Operations

By providing a robust JavaScript loading layer to their web data retrieval, Browserbase helps PromptLoop maintain their efficiency advantage while processing web data at scale. The solution not only enhances accuracy but also increases capacity, allowing PromptLoop to crawl hundreds of thousands of websites monthly—something that would have been challenging to achieve with the previous system.

”We're now processing more jobs, like a factor, a magnitude more jobs than we were on the previous system and it definitely would have been challenging to scale that up.”

Looking Ahead: A Collaborative Future

PromptLoop continues to explore additional Browserbase capabilities to enhance their platform's efficiency and capabilities.

"We're definitely interested in exploring as we work with the team more about how we can better access these websites."

The partnership has enabled PromptLoop to build a platform that delivers on their core promise: helping teams automate research tasks at scale with zero engineering hours required. Their commitment to exploring new Browserbase features demonstrates their focus on continuous improvement and innovation.

By implementing Browserbase, PromptLoop has built a robust foundation for their AI research platform. What started as a JavaScript loading layer has become core to their technology stack, enabling them to process thousands of simultaneous queries efficiently and maintain their competitive advantage in the AI research automation space.