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Aether Canvas
A desktop that reads your files and builds AI workspaces
We've spent decades organizing files into folders. I built Aether to explore a different idea: what if arranging files in space could generate the tools you need? Drop documents onto a canvas. GPT-5.6 reads them natively, discovers connections, and assembles a living workspace with dashboards, maps, and timelines. Automatic. Edit a source file, workspace updates live. Ask a question, the answer traces back through animated ribbons to its source. Built in one week with Codex. Open source.
Hey PH! I'm Mir, the maker of Aether Canvas.
The idea started with a frustration I think most people share — my files are always everywhere. Trip tickets in Downloads, budgets in spreadsheets, notes scattered across folders. I kept thinking: my computer can store all this, but it can't understand any of it.
So I built Aether. You drop files onto a spatial canvas — PDFs, spreadsheets, Word docs, images, anything — and GPT-5.6 reads them directly. No uploading to a cloud. No copy-pasting into a chatbot. The AI sees your actual files, discovers how they're related, and builds an interactive workspace from them.
A few things I'm proud of:
→ Semantic ribbons — flowing, color-coded connections that show HOW files relate (by date, cost, location, or task)
→ Live file sync — edit a spreadsheet on your desktop, Aether updates the workspace in real-time
→ Visual answers — ask a question and the answer card draws animated traces back to the exact files and sections it used
I built the entire thing in one week using Codex CLI with GPT-5.6-sol and terra. The full build journey — every prompt, decision, and milestone — is documented in the repo.
It's open source and runs locally. Your files never leave your computer.
Would love to hear what kinds of files or workflows would you want Aether to handle!!
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About Aether Canvas on Product Hunt
“A desktop that reads your files and builds AI workspaces”
Aether Canvas was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #157 on the daily leaderboard. We've spent decades organizing files into folders. I built Aether to explore a different idea: what if arranging files in space could generate the tools you need? Drop documents onto a canvas. GPT-5.6 reads them natively, discovers connections, and assembles a living workspace with dashboards, maps, and timelines. Automatic. Edit a source file, workspace updates live. Ask a question, the answer traces back through animated ribbons to its source. Built in one week with Codex. Open source.
Aether Canvas was featured in Productivity (656.7k followers), Open Source (68.6k followers), Artificial Intelligence (474.3k followers), GitHub (41.3k followers), YouTube (16.9k followers) and OpenAI Day (8 followers) on Product Hunt. Together, these topics include over 300.9k products, making this a competitive space to launch in.
Who hunted Aether Canvas?
Aether Canvas was hunted by Mir Abbas. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Aether Canvas stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Mir Abbas