CopilotKit Case Study: Leveraging Scarf to Uncover Hidden Open-Source Opportunities
CopilotKit is building the infrastructure for deeply integrated AI assistance, or co-pilots, into products for companies without the resources of Microsoft or Google. They began as an open-source project and have since added an enterprise cloud offering to complement their open-source solution.
As an open-source project, CopilotKit faced the classic challenge of understanding their user base and identifying high-potential customers. With limited data points like GitHub stars, npm installs, and Discord community interactions, it was difficult to gain actionable insights into who was using their technology and how it was being used.
"Before Scarf we really only had two data points. We had our GitHub Stars. So we kind of have a number, and you see who these people are, but making that actionable is not that easy”, said Atai Barkai, CEO of CopilotKit. “We also had npm installs, which is just a raw number of how many installs you get.”
CopilotKit implemented Scarf to gain visibility into their open-source community. By adding Scarf to their documentation, they could see which companies were actively engaging with their resources, providing valuable insights into potential leads and customer segments.
"We discovered that we have a lot of mid-market and enterprise companies that are using CopilotKit actively in one capacity or another that we would not have known about without Scarf,” reported Atai. "We're seeing very impressive companies that have hundreds of hits to our documentation, which we can infer are either using production or will be.”
Scarf has been instrumental in uncovering hidden opportunities for CopilotKit:
"Scarf is really the best data source that we have to figure out who our users are and what our prospective customers look like. We know who we should target and even to some extent what our strategy should be."
As CopilotKit continues to grow and evolve, Scarf will remain a crucial tool in their arsenal, providing valuable insights to drive their open-source and commercial success.
Published
August 7, 2024
This article was originally posted on
Hackernoon
CopilotKit is building the infrastructure for deeply integrated AI assistance, or co-pilots, into products for companies without the resources of Microsoft or Google. They began as an open-source project and have since added an enterprise cloud offering to complement their open-source solution.
As an open-source project, CopilotKit faced the classic challenge of understanding their user base and identifying high-potential customers. With limited data points like GitHub stars, npm installs, and Discord community interactions, it was difficult to gain actionable insights into who was using their technology and how it was being used.
"Before Scarf we really only had two data points. We had our GitHub Stars. So we kind of have a number, and you see who these people are, but making that actionable is not that easy”, said Atai Barkai, CEO of CopilotKit. “We also had npm installs, which is just a raw number of how many installs you get.”
CopilotKit implemented Scarf to gain visibility into their open-source community. By adding Scarf to their documentation, they could see which companies were actively engaging with their resources, providing valuable insights into potential leads and customer segments.
"We discovered that we have a lot of mid-market and enterprise companies that are using CopilotKit actively in one capacity or another that we would not have known about without Scarf,” reported Atai. "We're seeing very impressive companies that have hundreds of hits to our documentation, which we can infer are either using production or will be.”
Scarf has been instrumental in uncovering hidden opportunities for CopilotKit:
"Scarf is really the best data source that we have to figure out who our users are and what our prospective customers look like. We know who we should target and even to some extent what our strategy should be."
As CopilotKit continues to grow and evolve, Scarf will remain a crucial tool in their arsenal, providing valuable insights to drive their open-source and commercial success.
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CopilotKit is building the infrastructure for deeply integrated AI assistance, or co-pilots, into products for companies without the resources of Microsoft or Google. They began as an open-source project and have since added an enterprise cloud offering to complement their open-source solution.
As an open-source project, CopilotKit faced the classic challenge of understanding their user base and identifying high-potential customers. With limited data points like GitHub stars, npm installs, and Discord community interactions, it was difficult to gain actionable insights into who was using their technology and how it was being used.
"Before Scarf we really only had two data points. We had our GitHub Stars. So we kind of have a number, and you see who these people are, but making that actionable is not that easy”, said Atai Barkai, CEO of CopilotKit. “We also had npm installs, which is just a raw number of how many installs you get.”
CopilotKit implemented Scarf to gain visibility into their open-source community. By adding Scarf to their documentation, they could see which companies were actively engaging with their resources, providing valuable insights into potential leads and customer segments.
"We discovered that we have a lot of mid-market and enterprise companies that are using CopilotKit actively in one capacity or another that we would not have known about without Scarf,” reported Atai. "We're seeing very impressive companies that have hundreds of hits to our documentation, which we can infer are either using production or will be.”
Scarf has been instrumental in uncovering hidden opportunities for CopilotKit:
"Scarf is really the best data source that we have to figure out who our users are and what our prospective customers look like. We know who we should target and even to some extent what our strategy should be."
As CopilotKit continues to grow and evolve, Scarf will remain a crucial tool in their arsenal, providing valuable insights to drive their open-source and commercial success.
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