dltHub is being developed to democratize data engineering, making it accessible for all Python developers by removing traditional barriers that necessitate experienced data professionals. This LLM-native platform allows developers to build, run, and maintain data pipelines without extensive infrastructure or a dedicated team, leveraging large language models to streamline the process. With dltHub, users can create dlt pipelines from over 1,000 REST API sources, benefiting from features like a customizable Runtime Pipeline Dashboard and data validation tests. The platform is particularly significant for its ability to empower individual developers to handle data platform maintenance and pipeline customization, providing business users with reliable data insights and reports. dltHub's development responds to an increasing trend where users employ LLMs to create pipelines, and it supports rapid pipeline development and data exploration within a notebook environment. Future plans for dltHub include expanding its Workspace features and releasing new components aimed at scaling for small to medium businesses and enterprises.