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Claude Code v2.1.142
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).
🚨 IT JUST GOT WORSE: Almost $500 billion erased from Anthropic’s pre-IPO valuation. This is after they released a statement that should make every secondary market investor piss their pants… https://t.co/LLfWjOvwbu
guys we're doing a rebrand of the anomaly stuff so you'll finally stop confusing us with anthropic in the meantime if you're confused remember we're the more handsome but dumber ones
We started by investigating why Claude chose to blackmail. We believe the original source of the behavior was internet text that portrays AI as evil and interested in self-preservation. Our post-training at the time wasn’t making it worse—but it also wasn’t making it better.
ANTHROPIC JUST QUIETLY NERFED EVERY CLAUDE SUBSCRIPTION Starting June 15, Agent SDK and claude -p usage no longer counts toward your subscription limits. Sounds like a free upgrade right? It's not. Before June 15, all that programmatic usage drew from the same subsidized pool... 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.