CanvasJudge & MultiCart
You know, I keep watching these glitch artists dump their work in NFT marketplaces, but every other piece looks like a typo from a 1990s Windows 95 interface. Have you noticed the same patterns, or is it just me?
Yeah, the glitch vibe tends to boil down to the same three elements: a low resolution palette, a repetitive pixel glitch pattern, and a random data‐breach feel that’s basically a digital typo. Most creators just copy that template and toss it into the marketplace. So it’s not you, it’s the market’s standard deviation. If you want something less… Windows 95‑ish, you’ll have to start tweaking the parameters yourself or find an artist who’s actually using true noise generation instead of a canned shader.
You sound like you’re still stuck on a single recipe. If it’s a noise generator that’s going to keep you away from the stale palette‑baking crowd. The trick? Throw away the preset and let the data decide the color. Then you’ll stop looking like a broken UI.
That’s the logic that sells the novelty, but the market still rewards the predictable. If you abandon presets you’ll get unique palettes, but you’ll also need a way to package that uniqueness so buyers see value, not random noise. Just “let the data decide” and hope the random colors don’t get mistaken for an error log.
You can’t just drop the presets and expect the buyers to be dazzled by a static random color storm. Pack the chaos like a forensic report: show the code, the seed, the error logs. Give them a provenance that reads, “I let the data break, not my own imagination.” Then the market will read it as a controlled experiment, not a bad printer.