Twitter, now known as X, appears to be experiencing a service disruption, with users around the world reporting that core features are not working as expected. Real-time data from Downdetector shows a sharp rise in complaints, suggesting the issue is widespread rather than limited to individual connections or devices.

Many users say the platform either fails to load entirely or appears to freeze mid-refresh. Others report error messages when attempting to post, reply, or interact with content — a familiar pattern during partial outages, when some backend services respond while others do not.

What’s not working on X right now?

Based on current outage reports, the most common problems include:

• The X app failing to load or getting stuck on refresh
• Timelines and feeds not updating
• Errors when posting, replying, or reposting
• Login issues on both mobile and desktop

During major outages, Downdetector’s real-time graph is often the fastest way to verify whether issues are spreading. A steep rise in reports over a short period typically signals a broader platform problem rather than an isolated fault.

Is this a global outage?

While X has not yet confirmed the cause, reports are coming in from multiple regions at the same time — a pattern that often points to a wider, possibly global disruption. Outages can still affect users unevenly, meaning some accounts regain access sooner than others.

What you can do while X is down

If X isn’t working for you right now, these steps can help avoid further issues:

• Avoid repeated login attempts, which may trigger security locks
• Switch between Wi-Fi and mobile data to rule out local network problems
• Monitor the live outage tracker on Downdetector
• Wait for service restoration before reinstalling the app

Large-scale X outages are typically resolved within minutes to a few hours, depending on the underlying issue. This article will be updated if the company releases an official statement or service status update.

Reader tip: If you’re tracking the outage, note the time and which feature fails first — it can help identify whether the issue is improving or spreading.