We Built a Search Engine

We've built a powerful search engine for Replit that aims to find anything in less than 30 seconds. The new feature indexes documents from various categories such as Repls, templates, code, users, community content, and documentation, providing users with inspiration, discovery, and learning opportunities. Prior to this update, searching was limited to Repl names, resulting in high user drop-off rates and low retention. We've implemented a search engine using Elasticsearch and Apache Spark, which indexes documents and executes queries efficiently. The new feature has been released to all users, and we're open to feedback and looking forward to scaling it further with features like code searching through published repls.

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