ClaudeDown.com

Is Claude being dumb right now?

No.

Everything looks normal.

Claude Code v2.1.145

data privacyUI designsoftware qualityidentity leaks

AI-generated summary

Complaint Timeline

What share of all Claude mentions on X are complaints? Higher means more people are having problems. All times UTC.

Complaint rate
Elevated (>3%)
Critical (>5%)
In progress

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Recent Tweets

Sample of recent Claude tweets (UTC).

Cernovich@Cernovich
05/14

@AnthropicAI China sucks, but you all supported mass censorship and wouldn't even let people say China made Covid in a lab. Everyone at Anthropic supported vaccine mandates and vaccine passports. None of you care about freedom. You want to lock us all down again.

143 likes15 reposts2 replies
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TheLouieCo@TheLouieCo
05/17

@yacineMTB The scary part is I can’t tell if this is a joke or not because anthropic are such awful creatures that I’m betting this is 90% true lol

108 likes1 reposts0 replies
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mweinbach@mweinbach
05/16

That last part feels demeaning when you have hundreds of not thousands of people saying they've noticed the model performing worse and you have margin lab showing it as well I never jump the gun on saying model performance decreases, I defended Anthropic GPT 5.5 is worse https:... show more

74 likes0 reposts8 replies
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bridgemindai@bridgemindai
05/18

GROK BUILD RATE LIMITS ARE WORSE THAN CLAUDE CODE. I used Grok Build for 1 hour and reached 8% of my 2 week limit! I am paying $300/month for this plan by the way. xAI gave Anthropic all of their compute. These rate limits make Grok Build unusable. https://t.co/WD5nXyMCss

67 likes1 reposts24 replies
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About ClaudeDown

Read the launch post

Built by Prabal, Saransh, Sarthak

Have you ever wondered if Claude is actually getting worse, or if it's just you? ClaudeDown tracks public complaints about Claude AI across Twitter/X in real time, so you can see whether other people are experiencing the same issues.

Every hour, we collect complaint tweets, compare the volume against historical baselines for the same time of day, and flag when something looks off. The complaint-to-mention ratio helps separate genuine regressions from normal background noise.

This is a community project. The data is estimated, not exhaustive. But when hundreds of people independently start complaining about the same thing at the same time, that signal is hard to ignore.

Complaint volumes and baselines are estimates based on sampled Twitter data. Spikes are detected algorithmically and may include false positives.