Show HN: Sharing LLM Artifacts with your team (github.com)

Dropway has launched a new tool that transforms any static site—such as HTML reports, dashboards, or AI-generated pages—into a live, versioned, shareable URL within seconds. This innovative solution simplifies the process of sharing content securely with targeted users, both internally and externally, offering features like password protection, access control lists, and easy revoke options. By opting for a drag-and-drop deployment system and providing immutable versioning, Dropway addresses the common frustrations associated with sharing digital assets, especially for non-technical team members. This tool holds significant implications for the AI/ML community, as it facilitates seamless collaboration among data scientists, engineers, and stakeholders by allowing the sharing of complex reports and prototypes without unnecessary technical hurdles. With built-in support for LLMs, Dropway ensures that shared sites can be crawled and read by AI agents, making collaborative workflows more efficient. The open-source, self-hostable nature of Dropway also encourages wider adoption while adhering to stringent security protocols through its OAuth 2.1 integration, making it an invaluable asset for organizations looking to govern their digital content effectively.