Hi Product Hunt! We’re announcing the launch of a new free service – Clarifai Community – designed to empower everyone to create, share and use all of our AI resources. Clarifai Community is built on top of Clarifai’s platform for the end-to-end AI lifecycle, which is powerful enough for data scientists, robust enough for developers, and easy enough for no-code business users. Clarifai Community collects the world's best AI resources in one place - accessible through its easy user interface and robust application programming interfaces. It offers models from state-of-the-art AI builders like Clarifai, hyperscalers, academic institutions, and startups – so there is no limit to what users can accomplish. Models can be connected to one another visually into powerful workflows, with drag-and-drop functionality and zero code required. The open Clarifai Community encourages active participation and collaboration from its members, allowing them to create models and workflows and share with others around the world, advancing the reality where all can use and benefit from AI. The models and workflows are like building blocks – with all the implementation details handled by us behind the scenes. Users can focus on what they are trying to solve instead of both the coding and the Machine Learning Operations (MLOps) expertise required to publish complex models. For example – without writing any code, users could create workflows that pipe audio transcription into text summarization to create meeting summaries easily. Or take it to another level and use audio transcription for foreign languages and create translated summaries of international news broadcasts. Once these workflows are created, they can easily be shared publicly with the open Clarifai Community, privately within their organizations, or with individual collaborators. The World’s AI “building blocks” is a transformative idea built upon the best foundation for AI: Clarifai’s end-to-end AI platform for automated data labeling, data management, search, model training, evaluation, and versioning. It scales with production MLOps services and improves continuously with pipelines for active learning. We’re excited to hear reactions from the Product Hunter community!