Slashspace (Formerly RabbitHoles AI)

Slashspace (formerly RabbitHoles AI) is an infinite-canvas AI workspace for research and learning. It branches replies into side threads and works with Claude or ChatGPT subscriptions, your own API keys, or local models.

Slashspace, previously known as RabbitHoles AI, is an AI workspace that swaps the single scrolling chat thread for an infinite canvas. Conversations, documents and images sit as nodes that can be moved, connected and removed, so a long research session keeps a visible structure instead of disappearing up the page. The product is aimed at researchers, polymaths and learners who handle multi-step work across several sources and want to use more than one AI model along the way. The homepage frames the problem plainly: chat scroll was not designed for research, where tangents, comparisons and source material all compete for attention. A canvas gives each of those a place. In practice, the central idea is branching. Any line in an AI reply can be selected and forked into a new thread, which lets a user chase a side question without losing the main line of reasoning. The homepage demo shows a chat about growing a newsletter audience, with replies that split into separate follow-ups. Other nodes on the canvas hold generated images and uploaded files such as a PDF, shown alongside the conversation panels. Nodes and connecting edges can be selected and repositioned with the keyboard as well as the mouse. Model access is flexible. Slashspace works with existing Claude and ChatGPT subscriptions, with a user's own API keys, or with local AI, so it acts as a front end over models a person already pays for or runs. That positions it differently from single-vendor chat apps and closer to bring-your-own-model workspaces and canvas-style note tools. Pricing is a short trial followed by either a yearly plan or a one-time lifetime purchase, which will appeal to buyers who dislike open-ended subscriptions. The homepage cites a 4.9 out of 5 rating on Product Hunt and top daily placements on Product Hunt and Uneed, though detailed feature documentation is not part of the homepage itself.