Product Positioning & Context
An AI native user today copy-pastes prompts across a dozen apps. It's a broken experience for any kind of meaningful work. Every new chat box collapses context to zero. Slashspace solves that with an AI canvas where AI lives on the canvas, and you can run many chats as nodes. The canvas becomes the context space, and all the agents can see each other. Canvas is stored as files on your computer. Built with 1600 power users for over 1.5 years, we're the most mature canvas AI on the market.
Related Ecosystem & Alternatives
Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.
Deep-Dive FAQs
What is Slashspace AI?
Slashspace AI is a digital product or tool described as: Canvas first AI agent harness. MCP native. Local first.
Where did Slashspace AI originate?
Data for Slashspace AI was aggregated directly from the Product Hunt community ecosystem, representing raw developer and early-adopter sentiment.
When was Slashspace AI publicly launched?
The initial public indexing or launch date for Slashspace AI within our tracked developer communities was recorded on June 8, 2026.
How popular is Slashspace AI?
Slashspace AI has achieved measurable traction, logging over 231 traction score and facilitating 41 recorded discussions or engagements.
Which technical categories define Slashspace AI?
Based on metadata extraction, Slashspace AI is categorized under topics such as: Productivity, Artificial Intelligence, Development.
How does the creator describe Slashspace AI?
The original author or development team describes the product as follows: "An AI native user today copy-pastes prompts across a dozen apps. It's a broken experience for any kind of meaningful work. Every new chat box collapses context to zero. Slashspace solves that with ..."
Community Voice & Feedback
"Every new chat box collapses context to zero" is painfully accurate — I bounce between a dozen chats building my app and lose the thread constantly. Making the canvas itself the shared context where nodes can see each other is a clever fix; how do you keep the context window manageable once a canvas grows to dozens of nodes?
I really like this app. I've used it for awhile. It really helps my brain as someone who's spatially oriented. ChatGPT has the branching— but it's only up and down or a new chat initiated—whereas this has the whole canvas that you can use. It's a big improvement to my workflow.
Love the product, specially the connection with straico im able to use so many different models. Keep up the great work!
This is really clever - keeping coding agent output visible without context switching is one of those "why didnt I think of that" ideas. Would love to see how it handles multi-file edits where you need to reference changes across files though.
Awesome platform. One of the first AI node tools I used, and am still using.
I was very excited to use RabbitHoles when it came out. It changed the way I interacted with AI and gave me new ways to approach a problem and work out a solution. As he kept developing, the tool became increasingly refined and is now easily one of the best visual tools to interact with AI. The way multiple agents can work on the same context works like a charm. Everything just works seamlessly.Praneeth is an amazing designer and thinker. You can see the deep thought he puts in all of his works. No wonder a tool this thoughtful comes from him.I'd highly recommend this product for anyone interested in working with AI in an effective visual form.Go Slashspace.
Been using Slashspace for a couple weeks, you can tell how much care Praneeth puts into his product design and overall experience. I LOVE the visual canvas and BYOK approach to the product is a nice touch. Great work on the launch!!
I have been using @praneethpike s Rabbitholes since it launched, and he has kept improving it.Now, with Slashspace AI, it is on another level altogether, with more flexibility and a stronger focus on using AI.Congrats!Luis
Canvas approach makes sense for deep work. How does it handle conflicting outputs when running multiple AI models in parallel?
@praneethpike Really like this direction. The idea of having a dedicated space where context, tools and agents all work together feels much more natural than jumping between endless chat threads.Congrats on the launch
I’ve definitely felt the “which chat had that answer?” problem. Having one space per project with docs, tools, and agents together feels much closer to how real work happens.
The shared-context canvas is a clever way to run agents side by side, this is close to how I think about running multiple coding agents at once. When you've got a bunch of nodes going, how do you keep track of which agent did what without it turning into a wall of boxes?
files on disk is the line i'd circle here. we keep our own agent state as plain files for exactly this — when it's a flat file you can grep it, diff it, drop it in git.the second your context lives in some app's cloud db none of that works and you're locked to whatever they decide to keep.local files just outlast the tooling.
I am using Slash Space application, previously known as RabbitHoles, since its launch, and it became my daily use tool immediately. I use this RabbitHoles application in my daily workflow with the AI and for project management.
Discovery Source
Product Hunt Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
No direct open-source NPM package mentions detected in the product documentation.
Media Tractions & Mentions
No mainstream media stories specifically mentioning this product name have been intercepted yet.
Deep Research & Science
No direct peer-reviewed scientific literature matched with this product's architecture.
SaaS Metrics
Congrats on the rebrand and the launch!