Space
A quiet canvas for the things you want to keep.
Space launched on May 6, 2026 with 13 votes, #1,061 of 20,538 launches that month and more than 90% of that year's launches.
In plain words
Space is a personal digital canvas for organizing mixed media content including sticky notes, images, web clips, voice memos, drawings, documents, and checklists. Users arrange items freely on infinite, zoomable boards and navigate by spatial location rather than folders. The tool prioritizes privacy with local-first storage and optional encrypted sync, featuring no social elements or algorithms. It serves individuals seeking a calm, distraction-free workspace to preserve and organize personal ideas and information across multiple themed canvases.
written from the facts on this page · October 2026
From the sources
Space is a calm, personal canvas where your ideas live as mixed media. Sticky notes, images, web clips, voice memos, drawings, documents and checklists, all arranged freely on an infinite, zoomable board.
Organize digital items on unbounded spatial canvases
Sticky notes, images, web clips, voice memos. Mixed media on your canvases. Sticky notes, images, web clips, voice memos. Drag, paste, or speak. Everything becomes a card on your canvas. Multiple Spaces for different parts of your life. Items live where you put them. You'll remember by location, not by folder. Local-first. Encrypted optional sync. No social feed, no public discovery, no algorithm. Just yourfrom mythings.space
Does a similar job
all alternatives →- 5S50x50.space a public board to doodle together2022 · 50x50.space · ▲39





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Source: Product Hunt launch ↗
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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