10 Interest Score
6 Discussions
0.60 Engagement
Nov 2025 Launched

Roast My UI is an AI agent with one directive: choose violence. Paste a URL and it audits your layout, spacing, color theory, typography, and copy clarity, before returning a savage roast you’ll actually fix. It crawls your page, parses the DOM, runs heuristics on vertical rhythm, contrast ratios, type scales, and content comprehension, then distills everything into punchy feedback: what’s mid, what’s broken, and what to change first.

What the Community Said

Thanks for hunting Roast My UI 👀 Most design feedback is too nice and shows up way too late. I kept seeing founders ship landing pages that “felt fine” but leaked trust, attention, and clicks because no one was blunt enough to tell them: * Your spacing is cooked * Your colors are fighting each other * Your type scale has NPC energy * Your copy says nothing in 20 words So I built Roast My UI. Paste a URL → our AI tears through your page and gives you a savage roast plus a prioritized fix list you

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Excellent start! It was hilarious and on point. However, I do recommend that you provide suggestions on how to fix it or how to make the UI better by being more specific, especially if you want paying clients. I can always find critics, but it is hard to find actual advice that would help me fix things.

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This made me laugh but worked pretty well and gave me solid advice

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Cool idea. I tried testing it with one of my product URLs, but ran into an error. Just wanted to flag it in case it's helpful.

— [REDACTED]

Hey, I am a motion designer, how can I contact you about a potential collaboration?

— [REDACTED]

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Frequently Asked Questions

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.

The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.

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