--- title: "Clarm: Customer Case Study" url: https://daily.dev/posts/clarm-customer-case-study-x5gaiq3mp source_url: https://blog.vespa.ai/agentic-ai-powered-sales-for-developers-with-vespa/ type: article source: "Vespa Blog" published: 2026-01-19T09:27:56.479Z updated: 2026-01-19T09:28:18.283Z tags: ["ai", "open-source", "vector-search"] reading_time: 6 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Clarm: Customer Case Study **[Vespa Blog](https://daily.dev/sources/vespa)** · 6 min read · 0 upvotes · 0 comments ## Summary Clarm, a Y Combinator startup helping open source companies convert GitHub stars into revenue, built their AI-powered lead generation platform on Vespa's hybrid search engine. They deployed to production in under a day, leveraging Vespa's unified text, vector, and structured search capabilities to power zero-hallucination AI responses across millions of GitHub data points. The platform combines real-time indexing, built-in ranking, and tensor operations to deliver accurate lead intelligence and developer support automation. Customers like Better Auth and Skyvern AI have seen significant growth in GitHub stars and reduced support workload by 94%. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#ai](https://daily.dev/tags/ai), [#open-source](https://daily.dev/tags/open-source), [#vector-search](https://daily.dev/tags/vector-search) [View this post on daily.dev](https://daily.dev/posts/clarm-customer-case-study-x5gaiq3mp)