GitHub Outage Map
The map below depicts the most recent cities worldwide where GitHub users have reported problems and outages. If you are having an issue with GitHub, make sure to submit a report below
The heatmap above shows where the most recent user-submitted and social media reports are geographically clustered. The density of these reports is depicted by the color scale as shown below.
GitHub users affected:
GitHub is a company that provides hosting for software development and version control using Git. It offers the distributed version control and source code management functionality of Git, plus its own features.
Most Affected Locations
Outage reports and issues in the past 15 days originated from:
| Location | Reports |
|---|---|
| Inverness, Scotland | 1 |
| Quito, Pichincha | 2 |
| Junín, Manabí | 1 |
| Guadalajara, JAL | 1 |
| Paris, Île-de-France | 6 |
| São Paulo, SP | 1 |
| Ipauçu, SP | 1 |
| Vigo, Galicia | 1 |
| Tel Aviv, Tel Aviv | 1 |
| Éragny, Île-de-France | 1 |
| Saltillo, COA | 2 |
| Montlhéry, Île-de-France | 1 |
| Aulnay-sous-Bois, Île-de-France | 1 |
| Granada, Andalusia | 1 |
| Vernon, Normandy | 1 |
| Township of Evan, KS | 1 |
| Madrid, Madrid | 1 |
| Bogotá, Bogota D.C. | 1 |
| Lyon, Auvergne-Rhône-Alpes | 1 |
| Lima, Lima | 1 |
| Aix-en-Provence, Provence-Alpes-Côte d'Azur | 1 |
| Trento, Trentino-Alto Adige | 1 |
| Le Chambon-Feugerolles, Auvergne-Rhône-Alpes | 1 |
| Antananarivo, Analamanga | 1 |
| Lure, Bourgogne-Franche-Comté | 1 |
| Ashkelon, Southern District | 1 |
| Veigné, Centre | 1 |
| Saint-Paul, Réunion | 2 |
| Mexico City, CDMX | 1 |
| León de los Aldama, GUA | 1 |
Community Discussion
Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.
Beware of "support numbers" or "recovery" accounts that might be posted below. Make sure to report and downvote those comments. Avoid posting your personal information.
GitHub Issues Reports
Latest outage, problems and issue reports in social media:
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Mach (@MachStack) reported@ChatGPT It would be cool to take it one step further and make some conversations public and discoverable, not just shared through links. Imagine a research problem branching into dozens of different approaches, researchers could fork the most promising ones, rate the branches that actually make progress and continue from there. Basically a GitHub for AI research conversations, you could even verify researchers through university emails to keep the noise down
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Trash Panda 🦝 (@trashpandaemoji) reported@tekbog @NeonNoodle22 @github Bruh, idk if Clanker cloud could fix this one.
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Mark (@Milkdromida) reported@Carreyoki Thank you for helping, but I've had no luck so far. Other users on GitHub are reporting the same, so it is a temporary app issue it seems.
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Shaun Patrick SteWaRt (@ShaunStewart) reported@JasonBud The only thing you guys are missing—you're honestly doing a phenomenal job and smoking everybody else in the industry—is that my entire setup has an elaborate brain on a GitHub repo, which is actually more like software. That is where all my sessions operate from, and I need a cloud session (like Claude has) that operates from GitHub, can edit the repo within the session, and has the ability to run multiple sessions in the cloud. Not having that is really causing a problem for me right now. If it wasn't for that, I would literally be spending my $300 a month fully on your platform, instead of splitting my money between you and Claude.
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iamsaranhere (@iamsaranhere) reportedgithub is down again
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Shaishav Pidadi (@shaivpidadi) reported@JasonBud - Keeps Crashing on previews - Github connection has some issues - Cant download source code (Most frustrating, Neither form download button nor with chat)
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BlackcryptoSoprano (@checkmatexxxxxx) reportedCelestia GitHub is busy today . Fibre just added validator side reservation logic to close a payment promise double spend window before onchain settlement. Celestia app also added canonical blob transaction encoding checks across mempool and proposal processing, plus a v10 consensus fix aligning the double sign evidence window with validator unbonding as block times move toward 3 seconds.$TIA
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Firas (@firasbuilds) reportedFrom founder to founder: One of the biggest lessons from my last SaaS was knowing when to stop adding features. I built a tool that pulled customer feedback from places like Discord, Slack, GitHub and other sources into one dashboard. The product worked. But over time, the codebase became messy and harder to understand. The backend was running on my own VPS, which sounded like a good idea at first because it was cheap and gave me full control. In reality, it added more complexity. Every new feature meant touching more fragile parts of the system. At some point, I realized I wasn’t improving the product anymore. I was maintaining the mess I had created. So I shut it down. Not because the idea was bad. Because the foundation wasn’t good enough to keep building on. Sometimes the best founder decision isn’t shipping the next feature. It’s taking what you learned and building the next thing better.
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Vatsalpandya333 (@Vatsalpandya333) reportedour AI agent opened a PR to fix a production incident last week. no one triggered it. the engineer on call didn't even know the bug existed yet. a customer reported a UI glitch in Slack. TasksMind picked it up, traced it through the logs, found a null check missing in an API response handler from a deploy two days ago, and opened a pull request with the fix. by the time our engineer saw the notification, the PR was already waiting for review. i sat there staring at the GitHub notification for a solid minute. the fix itself was straightforward. what got me was that no human told it to do any of that. we've been building TasksMind for months. late nights, rewrites, demos that broke, weeks where it felt like we were just talking to ourselves. and then one morning, quietly, the thing just worked. a real customer, a real bug, a real fix sitting in GitHub, ready for human review. that's the moment it stopped being a project and started being a product. back to building.
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J 🦀 (@olorosia) reported@claudeai why do you hardcode CI checks? I ran out of github actions, I KNOW ITS DOWN. AHHHHHHH
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Ryan Hart (@thisdudelikesAI) reportedI accidentally built a full executive team that works while I sleep. xAI shipped something on August 12 that most people missed while arguing about Grok 4.6. It is called Grok Bot. Everyone opened it, spun up a coding bot, watched it close a GitHub issue, and closed the tab. That is the slowest possible way to use this product. There is one specific setup that turns Grok Bot from a chat toy into something that actually runs your day. You do not create a coding bot first. You do not create an email bot first. You do not touch the predefined roles list at all. You create one bot. You name it Chief of Staff. And you give it the only prompt that matters. "Take a look at me and what I do. Find all the info you can on me. Look at the bots I have already created. These are your team. Decide if we need to change anything, remove anything, or add more bots." That prompt does something most people never think to do. It stops you from being the person who designs the team. Because the person who designs the team is always the bottleneck. You are not qualified to know what agents you need. You have never managed a team of AI coworkers before. Your instinct will be to build a coding bot and an email bot, because those are the two things you can imagine. Chief of Staff sees the entire surface area of your work. It reads your calendar, your inbox, your GitHub, your accounts. Then it tells you which specialists you are missing. For most people the answer looks something like this. An inbox triage bot. A research bot that scans a specific list of sources every morning. An expense manager. A recruiter for the one hire you keep putting off. A bug reproduction bot if you ship code. A paid media bot if you run ads. None of these is a surprise once you see them. All of them are things you would have taken 3 months to figure out on your own. Now the second move. You do not talk to any of the specialists directly. You only talk to Chief of Staff. Chief of Staff routes the work. It pings the recruiter bot when a role comes up. It fires the research bot when you mention a topic. It reads what the inbox bot did overnight and hands you the 4 emails that actually need a human decision. The specialists talk to each other in shared threads. When the paid media bot flags a spike in CAC, it drops the number in the same thread the sales bot is already reading. Nobody pastes context. Nobody summarizes yesterday. The context lives with the team, not in your head. This is the part most people are getting wrong. They are still using AI agents the way they used ChatGPT. One conversation. One task. Copy the output somewhere. Start a new conversation for the next thing. Grok Bot is not built for that. Each bot has its own cloud computer. It signs into your tools. It remembers what happened last week. It runs for hours without you. The xAI team described the design principle this way. Most AI stops at 90 percent done. It gives you a draft and asks you to finish. A Bot is supposed to get to 100 percent done. Sent email. Merged PR. Booked calendar hold. Not a draft sitting in your clipboard. The Chief of Staff pattern is the only way to hit that number without becoming the person who manages 8 different AI agents. You promote one bot to run the team. You give it your calendar and your context. You let it hire the rest. Most people are using Grok Bot as a smarter assistant. A few people are using it as a company.
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James X. O'Sullivan (@jamesxosullivan) reported@alesia_cursor @cursor_ai T-E97298 The feedback on what to do to fix in my first email was all stuff that I don’t think applies…. (I don’t use a vpn, I don’t have a GitHub account, etc)
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Nitesh (@NiteshTechAI) reportedA Claude Code plugin will delete any code you wrote before the test that covers it. superpowers is a full development methodology, not a skill pile, and it installs on most of the coding agents people actually use. Cursor, Codex, Gemini CLI, Copilot CLI, Grok, Kimi, Devin, OpenCode. The part that stuck with me is the bar it sets for a plan. The plan has to be clear enough for "an enthusiastic junior engineer with poor taste, no judgement" to follow without asking you a single question. That is the actual standard. Most plans I write do not clear it. The workflow fires on its own: • Tasks broken to two to five minutes each • Brainstorming before a line of code exists • Red-green-refactor, enforced, not suggested • *** worktree per branch, clean test baseline • Code review between tasks, blocking on critical Install on Claude Code is one command: /plugin install superpowers@claude-plugins-official Built by Jesse Vincent at Prime Radiant, who also sells commercial support. The skills themselves are free. ⭐ 272,000+ stars on GitHub. MIT. 🔗 GitHub link in the comments
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Kim Jong Cash (@LTMShooter) reportedSay GitHub is down and wait for your usage to reset 👍🏾
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john! (@xcjohnmark) reportedi can't sign in to other applications via my github 😪 seems it's down. gm guys.