"After reaching $1 billion in annualized revenue in November, and raising $2.3 billion at a $29.3 billion valuation last month, Truell said his company is instead focused on building out more features. For instance, he noted that Cursor's home-grown LLMs were geared to support specific products. Cursor also confirmed the existance of those models in November when it touted, "Our in-house models now generate more code than almost any other LLMs in the world.""
""It would be like taking an engine and a concept car around it instead of a whole end-to-end car that was manufactured," Truell said. "What we do is we take the best intelligence that the market has to offer from many different providers. And we also do our own product-specific models in places. We take that, we build it together and integrate it then also build the best tool and end UX for working with AI.""
"Cursor's dependence on its competitors - and its need to build its own LLMs - has been a subject of speculation among VCs in Silicon Valley since earlier this year when OpenAI reportedly looked at Anysphere as an acquisition target. Anysphere turned the idea down. (This was around the same time that Windsurf's OpenAI deal also didn't materialize, with the founder eventually joining Google)."
Anysphere reached $1 billion in annualized revenue in November and raised $2.3 billion at a $29.3 billion valuation. The company is not planning an IPO in the near term and is prioritizing building additional features. Cursor employs home-grown LLMs designed to support specific products and claims its in-house models generate more code than almost any other LLMs. The product strategy combines intelligence from multiple providers with product-specific models and integrated end-to-end tooling and UX. Anysphere declined an acquisition approach from OpenAI. Investors remain concerned about AI coding editors' profitability due to high model costs.
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