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Claude Code v2.1.296
AI-generated summary
What share of all Claude mentions on X are complaints? Higher means more people are having problems. All times UTC.
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A sample of recent tweets about Claude AI, sorted by engagement. All dates UTC.Sample of recent Claude tweets (UTC).
1) Trying again. TLDR: Everyone can win. Open-source, frontier labs, infrastructure, applications and most importantly the American people. I understand all of the jitters about Anthropic losing share, real rates, spreads and second derivatives. Still think the most likely fut... show more
Sure... Random train of thoughts on markets now, optics like $LITE / memory + $IREN / Anthropic. On Memory: - Demand visibility on $MU / Samsung / SK Hynix extend into 2030-2031. Samsung has LTAs covering 70% of their capacity into 2031 (likely with SK Hynix type price floo... show more
BREAKING: Gemini 4 is OUT and it's SURPRISINGLY GOOD?? I admit I was ready to trash this model qhen I saw the benchmarks but six of us at @every spent the past week testing it across coding, writing, design, and knowledge work, and were pleasantly surprsied. It’s a breakthroug... show more
🚨 The City of London Is Preparing for the Biggest Financial Bloodbath in Decades Former UK Prime Minister Rishi Sunak has delivered a stunning warning: “The United States-led global order, which I grew up with, is over. I don’t think it’s coming back.” ⚠️ UNDERSTAND WHO IS TA... show more
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.