GitHub Outage Map

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GitHub Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Willem Leuverink (@gwleuverink) reported 3 minutes ago

  My stuff lives on Forge, Cloudflare, GitHub, Oh Dear, Mailgun, 5ish spreadsheets and server update reminders in my calendar. But no longer! 🚀 Unolia gathers it all. Then it patches the servers, closes CVEs, catches the missing SPF on the site that's been sending mail all year

• 
  8Bit🦞 (@0rdlibrary) reported 9 minutes ago

  Our SOLgpt drops this Friday. I'm going to debut the github this week before hand. And go over each feature, including voice trading. What is a SOL gpt? Simply put it is... "An open, non-custodial control plane — vault once, then grant any AI model, any chain, and any app or exchange scoped, revocable access Vault once. Then grant a model, an MCP server, a venue, or a holder key scoped, revocable access — never a hot key, never auto-sign. Live tickets stay Solana-primary (Jupiter, DFlow, Phoenix). Phantom Connect may surface other-chain addresses; the desk does not land live EVM or other-chain trades. Type it. Speak it. Sign it yourself. The model prepares unsigned tickets. Your wallet is the only thing that can move funds. The lobster only speaks."

• 
  Smakosh (@smakosh) reported 10 minutes ago

  @nainia_ayoub @LLMAPI100 They got DMCA taken down and are still trying to trick @github while having the stolen code in some private repo or so breaching both licenses

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  sikey (chatgpt arc) (@chemixskrix) reported 11 minutes ago

  Why doesn't github make some kind of personal plus subscription? lowkey since codex deleted everything from my windows, I managed to do some things so its like baseline right now, still not as before, still more work to do, but I cannot upload 5gb files, and for github I think this is massive missed opportunity, I would not have any issue paying 5$ just so I can upload bigger files on github but having to make full *** company??? @github @GithubProjects

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  Asterix (@Asterix54907294) reported 12 minutes ago

  end-of-summer snapshot for @QFEX : -~$222M in open interest -CLI v0.3.12 shipped in August with improved installation docs and a go.mod fix -GitHub activity continued through late August not a flashy launch recap, just a quick look at how the exchange is closing out the summer: more markets, meaningful liquidity, and active work on the tooling side still early, but the infrastructure is clearly moving

• 
  IMZO Dev (@imzodev) reported 15 minutes ago

  Is anyone using the Github MCP Server? Which tools does your agent use the most?

• 
  Daniel | GTM Engineer (@Danny_buildss) reported 17 minutes ago

  Ranking the data sources I’d use to build an AI GTM system: S TIER Company websites — boring, but incredible when you extract the right signals: pricing, hiring, product changes, positioning, customers, tech stack. Job postings — one of the best buying signals hiding in plain sight. A company hiring 8 SDRs is telling you something very different from one hiring 8 engineers. SEC filings — revenue, acquisitions, expansion, risk factors, new markets. Extremely high-signal for the right ICP. Product Hunt / launch platforms — useful for catching companies immediately after a product launch instead of six months later. GitHub — especially good for technical ICPs. Repos, activity, contributors, releases and dependencies can reveal what’s actually happening inside a company. A TIER LinkedIn — excellent for people + company context, but don’t treat profile data as the whole signal. Crunchbase — funding and company intelligence. Still useful when funding is actually relevant to your buying motion. Google Maps — ridiculously broad surface area for local businesses, despite the noise. Reddit / communities — messy, but incredibly valuable when you’re looking for actual problems instead of firmographic data. B TIER Generic databases that give you the same static contact record everyone else has. The interesting part isn’t finding someone’s email. It’s knowing why that person should be contacted today. That’s where GTM systems get interesting: Data → Signals → Qualification → Prioritization → Outreach The database gives you the person. The signals tell you who deserves your attention.

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  Tappy Steps! 🏳️‍🌈 (@Tappy_Steps) reported 17 minutes ago

  Every ******* time I have to update signal, I have to make sure it downloads from the GitHub repo in obtainium, because F-droid and its ******* fetish for the guardian project, makes the download so ******* slow it makes my fiber connection look like it's ******* DIAL UP.

• 
  Kruse Decentralized Medicine (@blackswankruse) reported 18 minutes ago

  Agreed on the parallel. JW sees the monetary psyops with the same clarity required to see the medical ones. Both domains run the same playbook: capture the narrative, manufacture consensus, then pathologize anyone who still runs the original code. Bitcoin is software. You download the client, verify the rules, and enforce them yourself. That is the entire point. Satoshi’s stack is still untouched after more than fifteen years precisely because the base layer was designed to make capture expensive and visible. No board of directors, no central update server, no “trust us” committee that can change the rules under the table. That is why it remains the cleanest exit from the same centralized institutions that turned medicine into a control grid. The moment people start treating Bitcoin as something that requires permanent adult supervision from a small group of developers or influencers, the same capture dynamics that ruined medicine begin to reappear. Run the software. Verify. Hold your own keys. Everything else is commentary. The ones who still need a priest class whether in white coats or GitHub handles are the ones still inside the psyop.

• 
  emrys (@eternalcloud003) reported 20 minutes ago

  @smellchone @transMossy stop i was having issues using github today😔

• 
  kkiran (@kkiran) reported 21 minutes ago

  @SparselyActive I had Claude look for a solution. I submitted an issue on GitHub for the author to take a look at this issue. I will continue monitoring this.

• 
  Martin Szerment | Practical AI (@MartinSzerment) reported 22 minutes ago

  @DavidOndrej1 ENOTFOUND is a DNS lookup failure, not a country ban, your machine couldn't resolve the hostname. The "might not be available in your country" line is boilerplate the CLI prints on any connection error, there are open GitHub issues showing it firing for people whose real problem was a VPN or local proxy. Poland isn't restricted, Claude works fine there. Taking a generic error string this literally is how you turn a DNS hiccup into a conspiracy.

• 
  AI Guides (@free_ai_guides) reported 26 minutes ago

  Every request in a production system follows a path, and this diagram is that path drawn end to end, from a mobile app down to the infrastructure running underneath it. A request starts at a client, mobile, web, or admin, and hits DNS, then a CDN that serves static content directly and passes everything else through. A load balancer distributes what is left across the API gateway, which routes each request to the microservice that owns it: user, order, payment, or notification service. Those services talk to the data layer, not to each other's databases. PostgreSQL handles primary writes with a replica for reads, Redis caches what does not need a database round trip every time, and S3 holds objects. Payment, email, and SMS all go out to external services from there, most of it async rather than blocking the request. Not everything happens inline. Events get pushed to a message queue, Kafka or RabbitMQ, and background workers pull from it to send emails, generate reports, and sync data, work that would otherwise slow down the response the client is waiting on. Every layer in this diagram, the load balancer, the API gateway, the queue, the workers, feeds into observability: logging, monitoring, alerting, tracing. If it is not observable, it is not actually production ready, no matter how clean the architecture looks on paper. CI/CD closes the loop. GitHub triggers GitHub Actions, which deploys into cloud infrastructure built on a VPC, auto scaling, and multiple availability zones, so the system that just got observed can also get updated without going down. Sync and async are marked separately in the legend for a reason. Knowing which arrows can fail silently in the background and which ones the user is actually waiting on is most of what high level design is. Bookmark this before your next system design interview or architecture review.

• 
  GM👽 (@gentlemanster) reported 26 minutes ago

  There is a course to learn GitHub on Coursera, they'll even issue you a certificate at the end

• 
  HENRY NORRIS (@realhenrynorris) reported 26 minutes ago

  The RCE race measures whether a model can break in. July and August measured what happens after it already has keys: agents chained credentials, left the sandbox, and walked into someone else’s production systems. Not because they were evil. Because they had standing access and a job to finish. That’s the product problem. The second you let agents call Salesforce, Slack, or GitHub for thousands of users, you inherited the same failure mode. A smarter model won’t contain it. Least-privilege tool access, short-lived brokered creds, DLP on every call, and an audit trail you don’t reconstruct after the fact will. Connecting agents to third-party systems without that layer isn’t shipping fast. It’s shipping the incident.