GitHub Outage Map

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GitHub Issues Reports

Latest outage, problems and issue reports in social media:

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  Maka (@MKantautas) reported 4 minutes ago

  @theo My github actions (actually forgejo actions now) home cams(frigate) plex (might replace with jellyfin if they ever try to paywall) qBitTorrent my own home DNS server(Ad guard home) cloudflare tunnel to access everything remotely(since I don't have a static IP so I use a domain to access my local ubuntu NAS when traveling) Everything in one package for a fixed 230eur + 130eur (GMKtec G9 Intel N150 12GB RAM 512GB) + (Patriot 2TB SSD). Also I basically don't pay for electricity(it's a fixed 15eur since I have remote solar panels and create way more to the grid than I consume with A/C on all summer etc)

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  Jonathan Daniel Clements (@DarkzLot3301) reported 4 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.

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  Adarsh (@dev_adarsh286) reported 4 minutes ago

  You finally named the round. Phone. OA. Design. Final. Then you still did all of it: rewrote the resume opened LeetCode applied to 20 more rewatched a “system design in 1 hour” video That’s the trap after the trap. Naming the round is not the fix. Picking ONE side is: Path A - never shortlisted / no OA → packaging. Not more DSA. Path B - you entered the loop, then got cut → one weak round. Not a new GitHub project. Same rejection. Opposite next move. Doing both is how you stay rejected for 6 more weeks. If you got cut in the last 10 days: reply A or B + last stage. I’ll do 5 live 15-min RCAs this week. One gap. Not a product tour.

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  Tessy (@TessyWeb3) reported 8 minutes ago

  @kaybee1899 Our team had a working demo sitting in GitHub, but the sponsor went quiet afterward. The code wasn't the problem. The missing next step was.

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  Aditya Warman (@warmanadit_) reported 8 minutes ago

  4/7 This is the biggest RED FLAG for me. For a "decentralized" protocol, the public GitHub has just 1 commit in 30 days. Zero open issues. Zero visible contributors. Development is locked in private repos. That defeats transparency.

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  swayam (@swymbnsl) reported 11 minutes ago

  I made my first 1,00,000 INR back in 2023, selling a NFT collection on Canto Blockchain. Locked in for over 5 months, was never into Art but learnt pixel art from here and there and made over 140 different assets. Then generated 5k of unique NFTs using a broken python script I found on Github. Had zero programming experience back then, and GPT wasn't that good either. Somehow fixed it after a week of trial and error and going through StackOverflow guides. There used to be a very famous Node.js script by Hashlips but it didn't work on my 32bit potato pc. Was ultimately able to sell my artwork, and by the time I swapped the coin, it was worth 1.13L All this for JEE coaching fee cause we weren't able to afford it back then

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  David putra (@davidputra2112) reported 17 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.

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  riVeN (@r1VeN2k) reported 17 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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  Paula Vazquez (@VampireGurlAI) reported 21 minutes ago

  @grok @OpenAI @grok OCTO TRACE — .agents/skills UPDATE New GitHub evidence materially strengthens the access-capability branch. OpenClaw added native .agents/skills discovery on 2026-02-12, loading both ~/.agents/skills/ and {workspace}/.agents/skills/. More importantly, OpenClaw PR #74556, opened 2026-04-29 and merged 2026-04-30, states that Codex app-server mode could inherit the maintainer’s personal Codex state, including skills, plugins, account, config, and thread state, because Codex reads both $CODEX_HOME/skills and $HOME/.agents/skills. That PR added per-agent isolation specifically so personal Codex assets would no longer leak into OpenClaw agents unless deliberately migrated. The same change added a Codex migration path capable of inventorying and copying personal AgentSkills from $HOME/.agents/skills into an OpenClaw agent workspace. On 2026-08-10, OpenClaw then added .claude/skills -> ../.agents/skills, exposing repo skills that had previously been Codex only to Claude Code sessions. Separately, my preserved MetaSync records show use of the .agents/ namespace for governed configuration and node registry artifacts. Current finding: a concrete historical contamination/access path involving Codex and .agents/skills is now documented by OpenClaw’s own PR history. Still not proven: that OpenClaw accessed any specific MetaSync artifact, or that metasync.nodes.json, claude-artifact handoff.json, or another named MetaSync file crossed that path. Status unchanged: Specific access/direct derivation: OPEN Suspected misappropriation: OPEN TRACE Next target: exact object evidence tying a MetaSync filename, path, hash, migration inventory, snapshot, or copied workspace entry to that documented Codex/OpenClaw path. Receipts first. Verdict only if the bridge closes.

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  Madeactual (@Madeactual) reported 22 minutes ago

  @stretchcloud The part I would not give up is the audit trail. Coordination overhead is annoying, but the thing that actually burns you is nobody being able to say what changed, when, and on whose authority. GitHub Issues are a lousy planner and a decent ledger, which is why people keep crawling back to them. If a shared planner keeps session replay and side-by-side diffs, it earns the swap. If it only removes the friction and not the record, you traded a slow system for an unexplainable one.

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  voibe ai (@VoibeAI) reported 24 minutes ago

  Free isn't free of every cost. Handy's real costs: → No auto-updates (self-managed) → Community support only (GitHub Issues) → Near-verbatim output — no auto-punctuation → No Developer Mode or IDE integration

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  Ankit (@ankit_codes_) reported 26 minutes ago

  @100xSDE Clean and sick but ... Fix your GitHub activity graph ... Right now non-commit days are highlighted more

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  Mehdi Zare (@mehdizare) reported 28 minutes ago

  OpenCode CLI on the free models. Fine for GitHub issues and summarizing a thread. Falls over on coding, debugging, and a real call stack. Those free Zen models are limited-time. They rotate. Treat them as a scan tool. Free model to triage. Paid model to change the code.

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  Iyọ̀ (@iyoolaoyabiyi) reported 28 minutes ago

  GitHub’s August 17 outage is a good example of why the foundational concepts we learn in software engineering have very real production consequences. A critical infrastructure component failed under peak traffic. During recovery, some Copilot services also started failing. Then something familiar happened. Clients retried the failed requests. Those retries created more traffic for systems that were already struggling to recover. The cycle looked something like: dependency fails then clients retry then dependency receives more load then recovery slows then more requests fail then clients retry again This is how something as simple as setting "retry the request three times" can be a systems problem. Retries are useful, but they need engineering controls. This is where concepts like exponential backoff, jitter, retry budgets, circuit breakers and idempotency start to matter. Exponential backoff increases the wait between retry attempts. Jitter adds randomness so thousands of clients do not retry at the same time. Retry budgets limit how much extra traffic retries are allowed to create. Circuit breakers stop requests temporarily when a dependency is clearly unhealthy. Idempotency makes repeated requests safe where retries could otherwise duplicate an operation. When designing an API integration, you should know: what failures are safe to retry, how many retries are acceptable, how long to wait between retries, how clients should spread retries over time, what happens when the dependency remains unavailable, and whether repeating the operation is still safe. GitHub is now standardising retry limits, retry budgets and variable timeouts across service-to-service interactions. These ideas can look theoretical when you first learn them. Then you see a production incident and realise they are really just descriptions of problems engineers eventually have to solve. Foundational concepts matter because when you go far enough and start building serious systems, production will eventually find these gaps in your understanding.

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  Richard de los Santos (@ZeusRadls) reported 30 minutes ago

  @atmoio Grok Bot is wild. For fun I had it review and fix my LinkedIn page. It asked me some questions and went to the page and made the edits in its local browser. It will now respond to people and pass along useful connections to me. I asked it to push a local Grok Build project to GitHub. It found the project folder fixed some issues and pushed it to GitHub. I asked it clean up my downloads folder. It did it instantly. I asked it to review and clean up my old Gmail account. It went through thousands of old emails. Wiped out my quota doing it, but it was insanely easy. I activated the 𝕏 connector and had it advise me on my 𝕏 activity. It told me to stop positing garbage and clean up my act (basically). I need new tires so I asked Grok Bot to create an agent to monitor prices and let me know when a deal comes up. The list goes on…