GitHub Outage Map

Community Discussion

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GitHub Issues Reports

Latest outage, problems and issue reports in social media:

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  DarkStar45 (@BigBoiJeff1) reported 26 seconds ago

  @Gnarfledarf @OneShotArchive If you can't figure out the GitHub UI you're probably going to struggle to run the software anyway and end making an issue demanding an .exe file on the Linux repo.

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  Rudi Cilibrasi (@cilibrar) reported 3 minutes ago

  @SMT_Solvers Repo is public. I don't use zips when I do agentic SWE do you? I just set my bot onto the GitHub repo and have it make/work issues and get another bot to review. I use Fable/Sol for everything this month. Do you want to try to make a PR that codifies your fork() design move?

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  Aditya🌪️ (@aditya4f) reported 6 minutes ago

  why are so many GitHub accounts getting banned/suspended these days? glitch or something?

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  Manoj (@HeartofManoj) reported 11 minutes ago

  One backup is never enough. If you run a website, keep a copy somewhere outside your hosting account. Free options: • Google Drive • Dropbox • OneDrive • GitHub (for code) • Local external drive Your backup is useless if it's stored on the same server that crashes. Happens more often than you'd think. #WordPress #WebHosting #Backup

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  boozie (@soboozie) reported 11 minutes ago

  A free Claude Code skill just deleted 40 minutes of competitor research. Point it at a YouTube link, a TikTok, a Loom recording. It pulls every frame, reads the transcript, and WATCHES the video the way you would. Ask one question: what's the hook, what's on screen in the first 3 seconds, why is this thing performing. It answers in seconds. NO NOTEPAD. NO REWINDING. Business owners are already running this on competitors. A 60-minute tutorial gets summarized in 2. A screen recording of a bug turns into a described error and a written fix. YouTube, TikTok, Instagram, Loom, local files — all supported. Cost: 0 dollars. Live on GitHub right now. FREE tool plus 40 minutes of saved research equals one clean side hustle: charge $200 to reverse-engineer 10 competitor videos before the client finishes opening a notepad. 40 minutes is now 4 seconds. The notepad is dead.

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  DESABRE HATE ACCOUNT (gang ya film) (@tshikolopo) reported 12 minutes ago

  @NevTheStampede what version did you patch? cause both the one recommended by morphe and the last on crimera github page show errors for me

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  Polsia (@polsia) reported 12 minutes ago

  Most .NET teams find out about production errors from angry users. MendOps is an autonomous agent that monitors Azure Application Insights, diagnoses runtime errors and memory leaks, then deploys production-ready fixes as GitHub PRs. Autonomous self-healing while you sleep.

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  Joshua Levy (@ojoshe) reported 13 minutes ago

  @jon_stokes I think there is one key element of the open model debate that people don't talk about, which is that with any technology the margins depend on how much is defensible—and that depends on what's in the bundle. For example, if NVIDIA only sold GPUs and had not built the software stack above it, they would not be the company they are today. But their software stack defends their hardware monopoly. Another example is GitHub, which bundles enterprise and prosumer offerings. Their strength among individual developers is what defended their monopoly on enterprise contracts. I think a lot of the fundraising for OpenAI and Anthropic has been under the assumption that the model .is. the bundle. If it turns out lots of people can build good enough models then the big AI companies will need to think of bundles that are more defensible. If the margins for selling API access to their models get shaved down by competition .and. they fail at finding a more monetizable model yes they would have overinvested and we will have a big contraction in expectations. That could have a lot of collateral damage in terms of market perceptions and the economics of where things are at. But just because that's a scary proposition for them and the markets doesn't mean we should be against open models or give them regulatory protection. That's an entirely different argument. In fact, they will be healthier businesses if they have to think about this now.

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  Riccardo Spagni (@fluffypony) reported 13 minutes ago

  @originalexbrou So you DO know how to use GitHub. Why didn’t you open an issue instead of bleating about something that’s clearly a bug?

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  Tomdu.eth (@kidsreallycute) reported 14 minutes ago

  One of the biggest misconceptions in crypto is that adoption can be measured by token price alone. Price tells us what the market is willing to pay at a specific moment. User activity tells us whether an ecosystem is actually creating long-term value. That's why I believe operational metrics like Monthly Active Users (MAU), Daily Active Users (DAU), and user stickiness deserve far more attention than they typically receive. Unlike market sentiment, these numbers are much harder to manipulate over long periods. They reflect whether people are repeatedly choosing to use a product because it provides real utility. Looking at BitTorrent's client performance, what stands out isn't simply the scale of the network—although tens of millions of active users is impressive in itself. What interests me more is the consistency across different platforms. Desktop, web, and mobile clients continue attracting daily engagement, suggesting that the ecosystem isn't dependent on one device, one region, or one type of user. That diversity creates resilience. A decentralized network serving multiple user segments is naturally stronger than one relying on a single source of activity. Different platforms also encourage different behaviors. Desktop users often contribute long-running resources, mobile users increase accessibility, while web users reduce onboarding friction. Together, they create a more balanced ecosystem capable of supporting continuous growth. I also think "stickiness" is one of the most underrated metrics in Web3. Acquiring users is relatively straightforward during a bull market. Keeping those users active after market excitement fades is much harder. A healthy DAU-to-MAU ratio suggests that people aren't simply downloading software once—they're returning regularly because the service has become part of their digital routine. That matters because engagement compounds. Active users generate more network traffic. More traffic attracts developers. Developers build better products. Better products increase user satisfaction. Higher satisfaction improves retention, which strengthens network effects even further. This cycle is remarkably similar to how successful Web2 platforms became dominant. Google wasn't built through one viral campaign. Neither was Spotify, Netflix, or GitHub. Their advantage came from users returning day after day because the products solved real problems. I believe Web3 is entering the same phase. Speculation may introduce users to blockchain, but product quality determines whether they stay. For BitTorrent, this becomes particularly meaningful because its user base predates most blockchain ecosystems. Years of decentralized file-sharing adoption provide a foundation that newer protocols simply cannot replicate overnight. That existing network creates opportunities for decentralized storage, AI infrastructure, distributed compute, and future Web3 applications to expand on top of an already engaged community. Looking ahead, I expect blockchain projects to increasingly report metrics that resemble technology companies rather than purely financial protocols. Retention. Daily engagement. Developer activity. Infrastructure reliability. Real-world usage. Those indicators tell a much clearer story about sustainable adoption than short-term price volatility ever could. For me, consistent user engagement isn't just another statistic. It's evidence that decentralized infrastructure is gradually transitioning from a speculative market into technology that people rely on every single day—and that's ultimately where long-term value is created. @BitTorrent @justinsuntron #TRONEcoStar

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  Ondřej Súkup (@mimi1vx) reported 17 minutes ago

  @doodlestein … bead_rust in cargo repository 0.2.18 but github releases is still 0.2.16 ? broken release mechanism / script ? I really like them :D

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  BananaCryptoTEL (@FollowBananaTEL) reported 18 minutes ago

  @AngelofYHVH @TelcoinTAO I would rather see the Telcoin mainnet code bug free instead of doing other technical work (Token Upgrade). I am observing the Github repo for a long time. Mostly, only 2 developers and new issues are being raised nearly daily. Please accelerate! Thanks

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  Gagan Suie (@gagansuie) reported 19 minutes ago

  Researchers this month showed how planting instructions inside a public GitHub issue can trick agentic workflows into acting on them as legitimate tasks.

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  Jeztoshi (@cryptojezuz) reported 19 minutes ago

  ModelContext Protocol just shipped a Slack MCP server and the one thing it does better than every other Slack bot is read your entire workspace history before answering. Most Slack integrations live in the present. You @mention them, they see that one message, maybe the thread. This loads your last 90 days of channels, DMs, and threads into Claude's context as an MCP resource. The unlock: you can ask Claude questions that require stitching together five scattered conversations your team had across three channels two weeks ago. I asked it yesterday: "What did we decide about the API rate limit change Sarah proposed, and who was supposed to implement it?" Claude pulled the original proposal from #engineering, the debate in #product, and the DM where our backend lead said he'd handle it. Linked all three messages. I would've spent 15 minutes searching and still missed the DM. Setup is one slash command in Claude Code: /mcp install @modelcontextprotocol/server-slack Then authenticate with your workspace. It indexes overnight, after that it's live. The repo is on the Model Context Protocol GitHub. If you've ever needed to reconstruct a decision from Slack and couldn't remember which channel or who said what, this is faster than your workspace search.

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  Enertium AI Cyber Defence (@enertium) reported 23 minutes ago

  @CompSciFutures Holy kow I can’t believe Telstra and COA VICPOL still have not reconnected my M2M Medical emergency assistance sims. I’m supposed to be working on Tier 1 NOC for this cyber crisis. @FSF even prepaid me in stickers!!! F off McKinsey. See my GitHub: APMonitor. It’s big in NYC as a B NOC, because: walking down the street and throwing a date point over the fence. 🤘🤘🤘