Hi HN,
I'm a co-founder of Aesthetic, a new kind of research tool for designers.<p>Our upcoming app lets designers search the world of design using images or text. To understand and improve the quality of our visual similarity models, we want a more intuitive way to interpret some of the distances between our logo corpus.<p>My co-founder Andrew Look created this awesome tool using Tensorflow, Inception, t-sne and a subset of our logos corpus.<p>We just published a cool video of it, published it our website. See it here: www.aesthetic.com<p>And, here's another data viz that we didn't post on our landing page: https://gph.is/g/aNWDeoq
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You might also include the backstory of how you came to work on this and explaining what's different about it. That tends to seed discussion in a good direction.<p>Edit: I took a quick look at www.aesthetic.com and it appeared to be a signup form rather than something users can directly try out now. If that's the case, it would be better to wait before reposting your Show HN: see <a href="https://news.ycombinator.com/showhn.html" rel="nofollow">https://news.ycombinator.com/showhn.html</a>.