Infinite canvas product search and decision making
Hi HN, We launched Canvas, an AI-powered visual workspace for furniture shopping: onton.com/surfaces. It's early, and we're trying to figure out if we're actually solving a real problem or just our own. Canvas lets you drag products from our 3M+ item catalog, upload inspiration images that auto-link to shoppable products, and generate AI room renderings. Basically trying to consolidate the nightmare of furniture shopping (Pinterest + screenshots + 15 browser tabs) into one place. The average person spends 79 days researching furniture across disconnected platforms. When I renovated my…
What it does
In the maker’s words, at launch
Hi HN, We launched Canvas, an AI-powered visual workspace for furniture shopping: onton.com/surfaces. It's early, and we're trying to figure out if we're actually solving a real problem or just our own. Canvas lets you drag products from our 3M+ item catalog, upload inspiration images that auto-link to shoppable products, and generate AI room renderings. Basically trying to consolidate the nightmare of furniture shopping (Pinterest + screenshots + 15 browser tabs) into one place. The average person spends 79 days researching furniture across disconnected platforms. When I renovated my home, I had the same experience – inspiration everywhere, no way to see it all together or actually make purchase decisions. The interesting parts are probably the search and image generation systems feeding the canvas rather than the canvas itself. Making it infinitely scalable would be straightforward but the hard problems are upstream (product matching, AI rendering quality, search relevance across millions of items). Would love feedback if you try it, especially around whether this consolidation actually matters or if there are better ways to solve this problem.
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