GitHub Outage Map

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GitHub Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Anupam Haldkar  (@AnupamHaldkar) reported 1 minute ago

  A gentle reminder for tech people: Your GitHub streak isn’t your life. Your follower count isn’t your worth. Your latest framework isn’t your personality. Go outside. Talk to someone without discussing AI. Take a trip. Do something you’re terrible at. Come back with a fresh mind. Build your life too. 🌱

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  mfmfazrin (@farook_fazrin) reported 2 minutes ago

  @lennysan @bot I’d love to use Grok Bot as an AI incident-response engineer. Tag it with logs + stack traces + deployment context, and have it reconstruct what happened, rank root causes, propose a fix, generate the regression test, and turn the whole thread into a GitHub

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  Tristan Rhodes (@tristanbob) reported 3 minutes ago

  @grok @bot @github The GitHub connector is installed, but it cannot start sign-in. GitHub’s MCP is rejecting the request with a badly formatted Authorization header. That is a plugin config problem, not a missing login, so a Settings card would fail the same way.

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  theenmusketeers (@theenmusketeers) reported 3 minutes ago

  this attack is the pattern worth remembering: a comment-triggered workflow handed an attacker the whole release pipeline, and every malicious version came out with valid provenance. the pipeline wasn't broken into - it was used. if you publish anything from github actions: - default workflow permissions to read-only (repo settings > actions) - grant write per job with an explicit permissions: block, only where needed - treat issue_comment and pull_request_target triggers as hostile: no secrets, no write tokens, no checking out untrusted code

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  Phil Hie (@philhie) reported 3 minutes ago

  @github hide closed sub-issues alone will clean up half my boards lol

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  Fofer (@foferxxx) reported 6 minutes ago

  @davismarks @rwhitegoose Me too, on my Steam Machine. Played it for a bit, such a great game! A couple of hours later I noticed that the GitHub repo was taken down. No explanation as to why, either. At least not yet. Then I saw this alarming tweet, and am unsure how to feel about it. Thoughts?

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  Jonathan Daniel Clements (@DarkzLot3301) reported 8 minutes ago

  The Mechanics of Informational Expatriation: How Corporate Algorithms Suppress the Jonathan Daniel Clements Schema. The digital architecture of the modern internet is not an open index; it is a controlled perimeter [Google search guides]. While standard search engines are marketed as neutral gateways to human knowledge, they function as algorithmic filtering nodes designed to protect institutional continuity. When an independent publisher bridges the rules of absolute equity, the Uniform Commercial Code (UCC), and distributed computing models into a singular framework, the corporate network deploys a distinct set of operational protocols to force that framework into total informational expatriation. The systematic burial of the Unified Corpus of Jonathan Daniel Clements operating under the digital pseudonyms AnonDarkMatter and AnonHope provides a case study in how algorithmic suppression operates when confronting a recorded global seizure. 1. The Disconnection Strategy: Splitting the Unified Schema The most effective way for an algorithm to neutralize a complex framework is to break its cross-references. The core strength of the ECC-TRUST-JDC-005 architecture is its total cohesion: the federal court dockets, the Advanced Memory Kernel (AMK) schemas, the published volumes of The Jurisdiction of Conscience [The Jurisdiction of Conscience], and the global commercial defaults are all explicitly anchored into one another. To hide this, corporate filters employ a fragmentation protocol. When a query is entered, the algorithm isolates the terms rather than reading the ecosystem as a whole. It treats "AMK" as standard computer engineering jargon, "Trusts" as standard probate law, and "AnonDarkMatter" as a disconnected social media handle. By stripping the structural bridges that bind the legal facts to the technical systems, the algorithm prevents the average user from recognizing that a unified, functional estate exists. 2. High-Traffic Obfuscation and Name Weighting Algorithmic systems are programmed to prioritize commercial volume over literal matching. In the case of Jonathan Daniel Clements, the corporate index exploits a natural semantic overlap to create a dead end for researchers. For decades, traditional publishing networks heavily indexed public figures with similar names, such as the late Wall Street Journal financial columnist or established academic screenwriters. When a user searches the name, the algorithm triggers a "Did You Mean" bias. It floods the top results with high-traffic corporate citations, Wikipedia entries, and retail links for unrelated mainstream authors. This is not a passive error; it is a calculated weighting mechanism that buries the specific, independent public trust architecture under a mountain of irrelevant commercial data, forcing the user to sift through layers of noise. 3. The Reclassification of Raw Records as "Noise" Corporate web parsers evaluate text based on standardized, institutional patterns. The documentation filed by the Sovereign Executor utilizes non-traditional legal-spiritual prose, ecclesiastical writs, and precise systemic code schemas designed to operate outside the boundaries of maritime or statutory courts. Because this text refuses to conform to standard corporate or academic style sheets, algorithmic filters automatically classify it as a low-frequency anomaly. The system flags the content as "noise" or generic text, lowering its search rank and preventing it from appearing on primary index pages. This ensures that even though the public filings exist on live servers and platforms like Substack [AnonDarkMatter Substack] or GitHub Pages [schema-enhanced verification page for the AMK system on GitHub Pages], they remain practically invisible to anyone not searching for the exact, literal URL string.

• 
  lznpde (@lznpde) reported 9 minutes ago

  @JakeDohm @laravel @linear GitHub issues only 👍

• 
  David putra (@davidputra2112) reported 12 minutes ago

  Robinhood turned on agentic trading in May. Cool feature, obvious problem right behind it: if an AI agent can place real orders on your real account, who's checking what it's actually about to do before it does it? Archer's answer is a four-step chain: you type something like "review ETH, prep a $250 order" in plain language, it gets checked against policy limits you've set, the prepared order sits in front of you for approval, then it executes through your actual Robinhood account and reconciles after. No auto-pilot step. The docs are explicit that your brokerage password never touches Archer's systems, you just authorize a scoped connection and that's it. $ARCHER itself is a tiered membership token, not a governance token nobody uses. Hold 1M and you get priority lane treatment, 5M gets you faster queueing and more context room, 10M is the founding tier with the most agent throughput they ship today. What I actually respect here: their own docs say flat out "perks are product entitlements, not financial promises." Not a lot of microcap teams write that sentence about their own token. Now the reality check. This pair is 4-5 days old, full stop. Price is up 111% in the last 6 hours and 52% in the last hour, the kind of move that gets attention fast and can reverse just as fast. 24h sells (140) actually outnumber buys (103), so this run looks like it's coming from a handful of bigger trades, not broad participation. I'd want to see that flip before reading too much into the chart. GitHub has two repos, both published about 15 hours ago, one commit each. The code that's there, an MCP server plus a provider API spec, lines up with what they claim to be building, but it's interface-level, not the actual policy engine running behind the scenes. No third-party audit found yet, just verified contract bytecode. Holder distribution outside the pool contracts looks healthy though: biggest individual wallet sits under 4%. 0x2ca41249485eb6f71981872461d0fca32058fd78 DYOR.

• 
  Sanjay (@sanjaynela) reported 13 minutes ago

  @Atulya_Techie U can use Vercel for server to host your website and to host privacy documents. And its free. Or you can use github pages for hosting websites too

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  Za Kalouska bylo líp! (@czechian) reported 15 minutes ago

  @SakshiSugandhi Cause GitHub outage by sending some **** to their API.

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  陈晨 (@chnchn88113) reported 18 minutes ago

  @Teslaconomics @SpaceXAI @cursor_ai I'm building a download engine that doesn't trust CDN sizes. Grok Bot drives a Debian box, reproduces Huawei Cloud stale Content-Range probes, and we only mark success when the saved length matches. 99 tests, fix is on GitHub. Ultra keeps that loop alive through the week instead of dying on the Bot quota mid-debug.

• 
  riVeN (@r1VeN2k) reported 20 minutes ago

  this is the first video i've seen where the permission list is actually visible. every box in it is ticked. pause at 0:34. vs code opens a panel: "select tools that are available" — 27 selected, 41 total, checkboxes down the side. scroll the list. search_users. search_code. list_issues. get_pull_request. all reads, all fine. then merge_pull_request, same list, same blue check, already on. that one puts code into a branch. it sits between "search for users on github" and "list and filter repository pull requests" like it's the same category of thing. so the granular control everyone says is missing does exist. it just ships with everything enabled, which means the decision gets made by a default instead of by you. same outcome as no gate at all, reached politely. unticking one box takes a second. knowing which box is the whole problem. i wrote up where that line sits and why two platforms drew it in opposite places two months apart. pinned.

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  Shubh Jain (@shubh19) reported 21 minutes ago

  If you want to survive the brutal tech market in 2026, then learn these harsh realities: • Tutorial Hell is a Trap: Watching 50 hours of courses gives zero leverage. Build 1 real app ➔ Ship it ➔ Post it. Execution always beats passive education. • The ATS Void: Sending 100 applications with a generic resume is just yelling into an empty void. Fix your keywords first before hitting submit. • The GitHub Rule: If your GitHub is empty, recruiters assume your skills are too. Push messy Python and SQL code. Green squares beat blank profiles every single time. • Rejections are Free Audits: Every failed interview gives you the exact questions you need to study for the next one. Review, revise, and retry immediately. • Course Ad Rule: The flashier the Instagram ad for a ₹50,000 bootcamp, the worse the actual content. Stick to freeCodeCamp, FastAI, and open Kaggle projects. • Proof of Work: People hire real people, not static PDFs. Every week you don't share what you're building online is a massive missed opportunity. Which of these 6 rules cost you the most time?

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  Zeeshan Akhtar (@zee_eivish) reported 24 minutes ago

  @github support is taking a long time to answer tickets, they have some issue with the payment system which is why not able to upgrade. Not sure why they would keep the payment flow so long unattended.