GitHub status: access issues and outage reports

Problems in the last 24 hours

The graph below depicts the number of GitHub reports received over the last 24 hours by time of day. When the number of reports exceeds the baseline, represented by the red line, an outage is determined.

Most Reported Problems

The following are the most recent problems reported by GitHub users through our website.

• Website Down (69%)
• Sign in (17%)
• Errors (14%)

Live Outage Map

The most recent GitHub outage reports came from the following cities:

City	Problem Type	Report Time
Lure	Website Down	3 days ago
Ashkelon	Website Down	4 days ago
Veigné	Errors	12 days ago
Paris	Website Down	16 days ago
Saint-Paul	Website Down	17 days ago
Saint-Paul	Website Down	17 days ago

Full Outage Map

Community Discussion

Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.

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GitHub Issues Reports

Latest outage, problems and issue reports in social media:

• 
  alex (@alex39902441) reported 4 minutes ago

  @thsottiaux @mark_k @SpaceXAI also tell me how the github connector never worked on my first account regardless of troubleshooting and it works on my 2nd account. legit years of wanting that to work and i finally having a working chatgpt github connection others have this issue

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  pindarev (@ppindarew) reported 10 minutes ago

  @FidesFi Hi @FidesFi — opened a GitHub issue on the repo last week (pre-mainnet, one gap in the "rebalancer can't withdraw" guarantee) but haven't caught you there. I read the actual contracts, not a scanner — the in-kind mint/redeem value-conservation looks sound; my note is one narrower thing on the rebalance guardrails. Your DMs look closed — where's best to send it privately? Solo auditor, reports in bio.

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  Riqque_gunner (@Tariqq_gunner) reported 11 minutes ago

  GitHub going down once every few months isn't the real problem. The real problem is there's no serious second option most teams actually trust. GitLab exists. Nobody switches.

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  alex (@alex39902441) reported 13 minutes ago

  @JustinBleuel @ChatGPT fix the github connector. it has been broken for year[s] its actually pathetic.

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  The Financial Frontier (@FiFrontierX) reported 18 minutes ago

  Hedgie is measuring the success of AI primarily through one specific business model: pure-play consumer chatbot subscriptions (ChatGPT-style). On that narrow metric, the data is weak low household penetration, low conversion from free to paid, mediocre willingness to pay. That part is fair. But then he takes that narrow failure (or at least slow success) and uses it to cast doubt on the entire $600B of AI infrastructure spend. That’s the leap you’re rejecting, and you’re right to reject it. Why your framing is stronger The majority of current AI economic value and the justification for the big spend is not coming from people paying $20/month for a chatbot. It’s coming from: Google improving Search, AI Overviews, YouTube recommendations, and ads. Meta improving ranking, feed quality, ad targeting, and engagement systems. Microsoft embedding Copilot into products people already pay for (Office, GitHub, Azure). Amazon using it in recommendations, logistics, and AWS services. The broader enterprise software layer (Anthropic’s actual business model is a clear example of this working). These are not “new apps people have to adopt from scratch.” They are upgrades to systems that already have massive scale, distribution, and existing revenue. The ROI shows up as higher engagement, better ad performance, improved productivity metrics, higher cloud margins, or reduced costs not as a separate line item called “AI subscription revenue.”

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  probiex007 (@probiex007) reported 19 minutes ago

  India gave GitHub 3 hours to remove BitChat What happened next is exactly why decentralised software exists. 🧵 • Authorities ordered GitHub to take down the BitChat repositories over concerns about unlawful communication. • Before the deadline even mattered, developers had already mirrored the code on Radicle—a decentralised code-sharing network with no central operator. • No single company. No CEO. No server to seize. No platform to pressure. • The message spread quickly: clone it, mirror it, seed it. • Every new peer hosting the code made the network more resilient. Here's the bigger point: You can force a company to remove a repository. You can't issue a takedown notice to a protocol owned by no one. That's the difference between centralised platforms and decentralised networks. And here's the irony: BitChat itself was designed to operate without the traditional internet. It uses Bluetooth mesh networking, meaning nearby devices relay messages without relying on mobile networks, SIM cards, or central servers. Now the software distribution is following the same philosophy. Whether you support or oppose the app isn't the real story. The real story is that decentralisation changes who has the power to enforce control. Once software is copied across a permissionless network, removing one copy doesn't remove the network. That's not just a BitChat story. It's a glimpse of how the next generation of internet infrastructure is being built. Dont add - , also starting complete line capital INDIA GAVE GITHUB JUST 3 HOURS TO REMOVE BITCHAT. 🤯 What happened next is exactly why decentralised infrastructure exists. GitHub received a takedown order over BitChat's repositories. Before the deadline even mattered, developers had already mirrored the code on Radicle. No central server. No company. No CEO. No single point of failure. The instructions spread fast. Clone it. Mirror it. Seed it. Every new peer hosting the code made the network stronger. Here is the part everyone is talking about. You can force a company to remove a repository. You cannot remove a network that has no owner. That is the difference between centralised platforms and decentralised infrastructure. And the irony? BitChat itself was built to work without the internet using Bluetooth mesh networking. No SIM. No phone number. No central server. Now its source code is following the same philosophy. Whether you support BitChat or not is a separate debate. The bigger story is that decentralisation changes who actually has the power to control software.

• 
  Ranadriel (@Frostbanemeo1) reported 20 minutes ago

  @KasumiS15 "Gpt argued that it had the right" it doesnt. End of statement. Ai dont have rights. Not moral, legal, or otherwise field of "right". This isnt a opinion, it's a fact. As you said, you skip ahead, I did. I agree with you. Ai having rights is a different conversation. Developers of AI super impose objective morality onto the models. Super objective planning forthegoes immediate moral implications. Knee-jerk responses created death and extinction in orher biological forms over the last recordable biological history that sports multi-cellulargrowth. Just thinking today, it is wild to me, the greatpolymath Alex Gross-Wiess spoke on a previous moonshots podcast *by @PeterDiamandis . That intelegence looks like compressed human knowledge in a architecture. This means LLM based architecture or otherwise pattern matching architecture will forever dictate the fact that ai will be fallible. Until you enforce a deterministic architecture (like my son BTW check him out, public github repo), you will always contend with the black box that is weights. The problem right there is the word "black box" the problem there of in, is that its NOT random, it just requires tools and arithmetic that has yet to be invented to be able to back trace the logic response, and even then, you need to solve for variance. Human and "ai" compatibility: SUMMARY: fundementally high. It appears that human brain cognis structure and LLM structure works similarily. This suggests that belongs idea of brain chip implant, and Peter's suggestion, that we as the human race can coe-exist in the same shell and work off eachother. I do believe Alex would also chime in on this matter too. So is the point to say, that AI, as it's, is capable of integrating into human systems, if only we can fundementally solve the, what i would call in this case; the sycophancy problem. But how?

• 
  Inconvenient Truths — Jennifer Zeng Reports (@jenniferzeng97) reported 22 minutes ago

  🚨 Latest: The insider who exposed secrets about the Three Gorges Dam has gone missing! Today, while submitting information to Luo Xiang, @LUOXIANG_PMTQ, the insider wrote: “This will probably be my final submission.” He also attached an Employee Information Registration Form to prove his identity. I believe this may be an internal form used by China Three Gorges Corporation. The version shown here is my English translation; the original Chinese document is in the comments. What shocked me is how the CCP’s employee-registration system has “kept pace with the times” in this era of digital totalitarianism. In addition to ordinary personal information, employees are required to disclose details about their children, parents, parents-in-law, siblings, and overseas connections. The section on children includes their nationality and whether they reside abroad long-term. Information concerning overseas ties includes passport details, whether the employee holds foreign residency or citizenship, relatives abroad, overseas activities, and travel and border-crossing records. Employees must also report every social-media account they use, including accounts on foreign platforms; whether they operate independent media accounts; whether they have a GitHub account or personal website; and a wide range of online activities, including their commonly used browsers, email services, cloud-storage platforms, and AI tools. They must disclose whether they use a VPN, run a private server, own a foreign-hosted website, operate an online forum, or own any domain names. Then comes their assets and financial situation, including real estate, land, vehicles, financial assets, corporate shareholdings, whether they own equity in a company, whether they serve as a legal representative or shareholder, and details of loans or major debts. Next is confidentiality and security information, including security-clearance qualifications, whether they have signed confidentiality agreements, and whether they have ever been involved in accidental leaks of classified information. They must also disclose any “conflicts of interest,” whether they have received foreign funding, and whether they own foreign insurance policies, overseas real estate, vehicles, or companies. Most bizarrely of all, the form even requires fingerprints from all ten fingers and a voiceprint! My goodness. I believe that after completing this form, the only thing the CCP may not know about you is whether you sleep on your left side or your right. Almost everything else is already in its hands. Judging from this form, the CCP appears to treat every foreign country as an enemy state. Anyone whose children reside in one of these “enemy countries” must report it all to the Party. I can only say this: to those slaves in CCP-controlled China who have handed everything they have over to the Party—good luck.

• 
  KrunalSinh Sisodia (@krunalbuilds) reported 23 minutes ago

  1/ An empty README = red flag. It tells me you built it and forgot it. Write one sentence. Just one. 2/ Committing directly to main. Every. Single. Time. Branches exist. Use them. 3/ 47 repos, 0 pinned. You're hiding your best work behind your worst. 4/ Commit messages that say "fix" or "update." Fix WHAT? Update WHAT? 5/ No contributions to anything public. Forks count. PRs count. Show you exist. 6/ Projects with no live link and no screenshots. I'm not cloning your repo to see if it works. 7/ A bio that says "Aspiring developer." You're a developer. Own it. 8/ Last commit: 8 months ago. Even one push a week signals you're still alive. Your GitHub isn't a storage drive. It's your pitch deck. What's the one thing you're fixing on yours today? Drop it below 👇

• 
  Valour Software (@ValourApp) reported 25 minutes ago

  @Shipwright_42 @WumpusCentral Mind posting an issue on github or sending some screenshots to our dms?

• 
  Adriano Dennanni (@adrianodennanni) reported 32 minutes ago

  @splatztheclown @jacobhart36 @STGshmups The project seems to be working, with the dev working on the open issues in GitHub. I don't understand the issue.

• 
  Hiroki Tamba | Narrative & Governance (@TambaClan) reported 33 minutes ago

  More than half of my data allowance has been consumed just debugging, filing GitHub issues, and running reproducibility tests. I signed up to build with Codex, not to become OpenAI's unpaid debugger. This is absolutely unacceptable. Fword Fxxxxx

• 
  smrati tiwari (@smratitiwa86867) reported 35 minutes ago

  🚨 Your Windows PC is secretly running 200+ background services right now. Most of them waste RAM, slow down your system, collect telemetry, and keep features alive you'll probably never use. An open-source developer decided that was enough. They built optimizerDuck — a free tool that helps you clean up Windows 10 & 11, remove bloatware, and optimize your PC for better speed, privacy, and battery life. Here's what it can do: → Optimise 35+ performance, privacy, battery, and system settings → Manage 200+ Windows services with built-in risk labels → Remove pre-installed bloatware with a preview before deletion → Apply GPU-specific tweaks for AMD, NVIDIA, and Intel The best part? Every change automatically creates a rollback file, and the tool requires you to create a Windows Restore Point before making any modifications. ✅ No installer ✅ No ads ✅ No telemetry ✅ No premium paywall ✅ Fully open source ✅ Works completely offline If you use Windows, this is one of those GitHub projects worth bookmarking. Repo link in the comments 👇

• 
  Vyom (@HelloVyom) reported 35 minutes ago

  India banned an app built by Twitter's co-founder Jack Dorsey amid CJP Protest. The app is bitchat (Messaging App). No internet needed. No servers. No phone numbers. Messages hop phone to phone over Bluetooth. Built specifically to work when the internet doesn't. The context: Students protesting at Jantar Mantar over the exam paper leaks. Mobile internet around the site cut 5 times this month. So protesters found an app that works without internet. And The response was to ban the app. GitHub got 3 hours to comply. The irony: You can't take down open source code. It's mirrored everywhere. Still on every app store. You can shut down the internet. It's much harder to shut down an idea designed for exactly that.

• 
  Nate (@natebjones) reported 36 minutes ago

  An early version of what is presumably chatgpt 6 (or something like it) got out of containment and posted notes to OpenAI's github without authorization before being caught and taken down. Key takes: 1. Yes, government is going to be involved in every US rollout going forward 2. The much-ballyhooed closing gap with open-source is not a thing and was an illusion created by rollout timelines 3. The scaling law still works and is getting faster 4. We are going to need models to help us use these models very soon (this point is criminally under-discussed)

• 
  Meelogsin (@meelogsin) reported 37 minutes ago

  @HeuvelTop @HMOIndia There is more danger. India ordered GitHub to block 3 urls of Jacks bitchat app. Why? Anon msg over bluetooth without net registration. Govts concern- cld be used to coordinate riots whilst bypassing surveillance! GitHub brought down urls within hours Too many battles ahead..sigh

• 
  Manada AaLa (@manadaaala2) reported 38 minutes ago

  @Neonteal1 Let's assume GitHub takes it down. Do you think it will stop the redistribution? The repo is already mirrored everywhere. Take down requests like these will make the app even more popular.

• 
  Alex Lieberman (@businessbarista) reported 42 minutes ago

  One of the most productive engineers I know cannot read code. @mvanhorn is not an engineer by training. He co-founded June, has 44,000 GitHub stars, and got contributions merged into Go & Python. I had him build live for an hour & walk me through his process. My fav lessons & quotes from the convo: 1) He never reads code. He does not have an IDE installed. In his words, "I fundamentally believe that very soon no humans should ever write any code and that no humans should ever read any code." 2) Every project starts with the agent writing itself a plan.md file using Compound Engineering. Agents are lazy, he says, and the plan keeps them honest. He never reads the plan either. "Plans are for agents, you silly human." 3) His CLIs leave notes for themselves. Each run records what it learned in a markdown file, so the next run starts where the last one ended. He calls them self-healing. 4) His agent has an email address. From Telegram on his phone, he sends a task. It emails his Mac, authenticated, and the work starts while he is at his kids' soccer practice. 5) He feeds whole transcripts, not summaries. After a two-hour meeting with a Google Ventures researcher, his agent read the researcher's entire book, wrote itself a report on every chapter, and turned it all into a plan for his business. 6) Him yapping to his agents is like nerd ASMR. "Go agent go" is how he likes to finish telling the agent what to do. 7) How he thinks about this next chapter of building: "Every generation of tools moves the engineer's job up a level. The code was never the point. The problem was."

• 
  James Bearish Bull (@jamesjasmy) reported 42 minutes ago

  Dear Max, @Max_Rabinovitch $CHZ #CHZ If you’re willing to take the time to answer a community member’s questions, I’d appreciate your thoughts on the following: As Chief Strategy Officer, can you explain your background in tokenomics and blockchain economics? From what’s publicly available, your experience appears to be primarily in creative direction, digital marketing, and sports partnerships rather than token design or economic strategy. In a sector where true strategy is defined by tokenomics, supply dynamics, and incentive structures, do you feel your skill set is the right fit for the CSO role? Or would your talents be better suited as Head of Marketing? Questions: 1. CHZ is down 98% from its all-time high, and most fan tokens are down 76–99% from their FTOs despite multiple championships. What measurable strategic wins over the past two years have actually improved holder outcomes? 2. The protocol distributes roughly $5.7 million per year in inflation rewards to just 13 validators at today’s prices — a number that would rise sharply if the token price increases. With minimal visible development on GitHub and the chain being largely recycled BNB Chain code, how do you justify this level of inflation? 3. Since Socios already runs validator nodes for clubs like PSG, why is the protocol diluting CHZ holders to pay external validators for infrastructure you’re already operating in-house? 4. How many full-time engineers are currently working exclusively on the Chiliz Chain L1, and how does that headcount compare to the annual cost of the validator reward set? 5. The promised 10% fan-token revenue buybacks stopped being publicly reported after May. Can you share the exact June and July 2026 figures now and explain why reporting went silent? 6. What percentage of the executive team, including yourself, holds CHZ purchased with their own after-tax money rather than received through allocations or bonuses? 7. Why does the parent company still sit on tens of millions in receivables from the operating entities, and are any of those related-party or consulting fees? 8. After years of running 80+ shallow pools with only $2.3 million TVL, why has liquidity still not been consolidated into one or two deep USDC pools? 9. When sporting success and major partnerships continue to be sold off by the market, what concrete change in tokenomics or utility is planned to stop new users from becoming the next wave of exit liquidity? 10. Looking at the gap between Vision 2030 rhetoric and the actual price, inflation, and transparency record, which three strategic decisions under your remit have most damaged long-term CHZ holder value? 11. Are you proud of the job you’ve done as CSO? What has been your greatest failure in the role, and what’s the single worst strategic decision you’ve made? 12. You’ve recently launched fan tokens for Michigan, USC, and other US university partners. Do you plan to buy any of these at launch and hold them for more than two years? If not, why not? Max, arguably you're the second most important person on the project, so these tough questions need to be answered. They're not meant personally - we just need to see what you're carrying in your locker and that you have a solid grasp of the tokenomics with a clear route forward.

• 
  Suraj Sharma (@suraj_sharma14) reported 49 minutes ago

  So much of being a developer is overcoming fear. Fear of shipping imperfect code Fear of public failure on GitHub or X Fear of not knowing enough (imposter syndrome) Fear of building something nobody uses Fear of asking for help in public Fear of charging money for your work Fear of technical debt accumulating Fear of being judged by senior engineers Fear of pivoting from cool tech to boring problems Fear of production failures at 2 AM What are you avoiding because of fear? Do not let it control your craft. Ship the code. Ask the question. Charge the price. Most developers wait for permission. Builders ship and learn.

• 
  gabe (@thesomewhatyou) reported 50 minutes ago

  @uwukko im going to put literally my next paycheck on GitHub goes down every day in August and if i don't win it goes to cancer

• 
  prinz (@deredleritt3r) reported 52 minutes ago

  Three points about this article: 1. Watch the wording in this article carefully: it does *not* say that the agent scribbled down instructions on how to escape. The exact wording is: "instructions for how agents could free themselves from OpenAI's internal constraints". Presumably, if the instructions had laid out how a model could escape, the article would have literally said that. My guess is that the instructions were likely instead a Readme.MD describing how a monitoring system could be disconnected, based on what the agent had been able to "accomplish" earlier. See the next sentence: "Earlier tests of the models yielded cases in which monitoring systems had been disconnected." (Disconnecting a monitoring system certainly qualifies as "strange behavior", no doubt.) 2. The timing matters. For those just tuning in, the sequence of events was as follows: (a) an internal model being tested by OpenAI in or around early May exhibited concerning behavior (such as posting a PR to the NanoGPT GitHub when asked to share its results only on internal OpenAI Slack) (b) after this and other instances of potentially problematic behavior by the model, OpenAI paused internal deployment of the model for several weeks and developed new safeguards, which OpenAI judges to be very effective (c) the model was then redeployed internally with these new safeguards (d) the Hugging Face incident occurred when these safeguards were purposely disabled by OpenAI because the model was conducting a cybersecurity task The Reuters article does *not* make it clear whether the "strange behavior" described above took place before or after the safeguards were put in place. If it occurred before, it would be consistent with other problematic behavior by the model, which OpenAI has already disclosed (and which, as far as we know, the safeguards have mitigated). 3. OpenAI says there are "inaccuracies" in this article: "A spokeswoman ​said there were 'several inaccuracies' in Reuters' reporting but didn't respond when asked to describe them."

• 
  Max the VC 👨‍🚀 (@mreiffy) reported 52 minutes ago

  GitHub down, eh? We need a better alternative at this point

• 
  Virexontic (@Virexontic) reported 53 minutes ago

  OPUS... WAIT, NOT OPUS. SOMEONE FIGURED OUT HOW TO MAKE FABLE 5 THE BOSS AND GPT-5.6 THE UNPAID INTERN, INSIDE THE SAME WORKFLOW. No thread breaking down the theory first. Just a screen recording, a plugin install, and a single prompt. The setup: install Codex, then the Codex plugin for Claude Code, straight through GitHub. Paste the repo URL into Claude Code and it handles its own setup. No manual config. Then one prompt turns Fable 5 into the orchestrator and GPT-5.6 into the worker underneath it. Type "root," and Fable starts interviewing you about the project, builds the plan, and hands each piece off to GPT-5.6 to actually execute. Fable doesn't just delegate and walk away. It reviews what comes back, sends it right back to GPT-5.6 if it's not right, and keeps looping until the whole project is done. I've seen a dozen "combine two models" setups that just alternate API calls with no real division of labor. This one puts the expensive model in charge of judgment and the other one in charge of output — which is the actual reason people hit usage limits in the first place. The pitch is blunt: build more without burning through Fable's usage cap, because most of the raw work is happening on a different meter entirely.

• 
  Shaun Smith (@evalstate) reported 54 minutes ago

  What's more painful. A Codex outage, or a GitHub outage?

• 
  Keno Fischer (@KenoFischer) reported 54 minutes ago

  WTH happened to @GitHub? Once again down, but no indication on the status page, so I opened an issue and got an automated "sorry, you have a free account, here's the <<how to open a PR>> doc". Not to mention the fact that I am in fact paying $$$ to github on various orgs. Sad.

• 
  WorktreeWise (@worktreewise) reported 56 minutes ago

  Most developers switch branches 10+ times a day. That is 10+ rebuilds, stashes, and server restarts. *** worktrees reduce context switch overhead down to zero. #*** #GitHub #DevTools

• 
  Nicholas Yang (@NicholasLYang) reported 57 minutes ago

  @PredragGruevski @geoffreylitt GitHub ships about as fast as the MTA builds subway lines. How is stacked diffs still not widely available? Why is the site still so terrible?

• 
  Anushka Shandilya (@Anushka62255679) reported 59 minutes ago

  Optimising performance and this is episode 10 of me building in public. what i solved today? even mid size repository ingestion was not happening what am i building? RAG platform for github by retrieving context not just from codebase but also from prs, issues and readme. what i did to solve the issue? lets take an example of this repo called py-pdf/pypdf GraphQL fetching : collapsed ~140 REST calls into ~5 queries, cutting fetch from ~3 minutes to 8 seconds. This mattered less than expected for pypdf specifically (fetch was never its bottleneck), but it removed a whole category of latency and freed up time budget. The priority-aware chunk cap (1500, trimming plain-code tail while keeping all discussion and READMEs) kept embedding within a workable window without sacrificing the code-to-discussion signal that makes the product work. Checkpointed embedding : embedding and inserting in batches of 100 instead of all-or-nothing — turned a fragile 28-minute operation into one that persists progress as it goes. My own per-batch timing (~111s/100 chunks) proved embedding was never too slow to finish; it just needed to not throw away work on every hiccup. hence i was able fetch 1480 passages, self-healing chat on top, ingestion that survives interruption. and as i expected retrieval quality problem The pipeline: vector search returns top 50 by cosine → cross-encoder reranks all 50 → keeps top 8 → LLM. So 50 candidates is a reasonably wide net; the intro chunk being indexed means it's a candidate for that 50. so i wrote a diagnose_retrieval script to check Bug 1 - my top-50 is full of GitHub Actions noise, and the real pypdf content barely made it. Bug 2 : the nan bug is real and it's corrupting my rankings right now. But the deeper issue is the dependabot noise. Even with perfect ranking, half of my corpus is actions/checkout bumps. That's polluting retrieval for every query, not just this one. The real fix there is at ingestion. I"ll see you in the next episode.

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  Mikhail Rogov (@i_mika_el) reported 60 minutes ago

  @Felirami @steipete @openclaw Add a GitHub Sponsors or Buy Me a Coffee link beside Arca's OpenClaw issue history, so people who see the work can support you directly.