The post details the author's journey in developing SemHub, a free semantic search tool for GitHub, and reflects on the challenges faced along the way. Key lessons include the importance of using pgvector for efficiency, the flexibility of embedding models, unexpected difficulties in vector filtering, and the significance of aligning product development with user needs. The author emphasizes that building a tool is just the start; understanding the user’s problem is crucial. Additionally, a positive mention of SST for TypeScript enthusiasts and a wish to endorse Cloudflare reflects a keen observation on tool integration and development environments.