wtf is affine-experimental?

This repository is an experimental offshoot of AFFiNE, an open-source workspace app that combines the best parts of note-taking apps like Notion with the visual freedom of a digital whiteboard like Miro. Instead of forcing you to choose between typing structured text documents and dragging visual shapes around a canvas, it lets you do both in the same space. You can start by writing a list of project tasks, and then instantly turn those text blocks into a connected visual mind map to see how everything relates. At a high level, the app works by blending a rich text editor with a flexible, borderless canvas. You can arrange your notes, databases, and shapes however you like without being boxed into rigid page layouts. You can group items together, link related ideas, and switch between a traditional document view and a visual whiteboard view depending on what you are trying to accomplish. This makes it easy to brainstorm freely and then immediately organize those loose ideas into a structured, readable format. This tool is built for people who need a flexible space to think, plan, and organize complex projects without being constrained by traditional software categories. A startup founder mapping out a business model, a product manager planning a feature rollout, or a student organizing research could use it to keep their written notes and visual diagrams in a single place. It is ideal for anyone who feels limited by apps that only offer text documents or only offer blank canvases, but never both. The README doesn't go into detail about the specific technical changes or new features being tested in this experimental version. However, the broader project is notable for its focus on merging visual and text-based workflows. While many workspace apps are strictly divided into either document editors or design canvases, this project attempts to bridge that gap. By keeping the project open-source, the developers are also building a workspace alternative that aims to give users more control over their own data compared to closed, proprietary platforms.