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 (67%)
• Sign in (20%)
• Errors (13%)

Live Outage Map

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

City	Problem Type	Report Time
Veigné	Errors	3 days ago
Paris	Website Down	6 days ago
Saint-Paul	Website Down	7 days ago
Saint-Paul	Website Down	7 days ago
Mexico City	Sign in	8 days ago
León de los Aldama	Website Down	8 days ago

Full Outage Map

Community Discussion

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

Beware of "support numbers" or "recovery" accounts that might be posted below. Make sure to report and downvote those comments. Avoid posting your personal information.

GitHub Issues Reports

Latest outage, problems and issue reports in social media:

• 
  💻🩵 (@Gransolita) reported 1 minute ago

  GPT-5.6 + Codex feels like having a technical cofounder available 24/7. Over the past few weeks I’ve been designing multiple SaaS products, setting up GitHub projects, creating issues, planning MVPs, and turning ideas into actual software with Codex. #GPT56 #Codex

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  Singekino_Miner (Knots | Datum miner | BIP-110) (@Singekino_Miner) reported 2 minutes ago

  @CitadelDaniel @wk057 You **** refer to Github for thumb down vs up count for uncapping OP-Return PR.

• 
  Wayne Markovich (@markovichio) reported 3 minutes ago

  300 fake GitHub repos impersonating real software projects are pushing infostealer malware. Engineers pulling Terraform modules, scripted actions, or AVD tooling from unverified repos are a realistic target vector here. Verify publisher identity and pin module versions with hash validation. This is a supply chain problem, not just a phishing problem. h/t BleepingComputer

• 
  Tomek | Builds & Learns (@tomek_builds) reported 4 minutes ago

  GitHub just made patience the default setting in Dependabot. Version update PRs now wait until a new package release has been available for 3 days. Security updates still open immediately, and teams can change or disable the cooldown. A small delay that may stop you from being first to install a broken or compromised release.

• 
  Daes (@0xDaes) reported 5 minutes ago

  Are you sick of missing out on the next 100x runner because you weren't in the right group or you didn't have the right tools to snipe the next launch? If you're not part of any cabal and don't have the insider tools and trackers, there's still a way to front run all of them, and I've been doing it quite consistently For context I'm not active in a single Telegram group besides @ggdotxyz groups. I get everything scrolling on the gg feed and scrolling X, and when I find something good I turn it into an alpha call by tagging @ggmaxi_agent So here's here's the formula for finding 'Slow Cooks' onchain that eventually return 10x-100x bangers 1. Check new launches every day but don't top blast into new stuff you're not fully sure about. Get a small bag and come back to it when the hype dies down. You'll be able to evaluate if - the dev is still shipping (& not a larp) - the product and community metrics improving (+ revenue) If the answer is yes, you get an easy entry when no one is paying attention. 2. Don't just do surface level research: I've made that mistake and missed potential 100x-1000x plays. Try out the product (if live), read about the underlying protocol and mechanics. I also check for exisitng thesis posts on @ggdotxyz and on X. 3. Use an LLM for your DD: I use Claude Code with a skill I built that tries out the app/website, scans all the socials and mentions, and checks the GitHub to make sure it's not vaporware or vibe coded slop. Helps speed up research 10x if you know what you're doing. 4. Build your intuition for gems: As you try out more products and do more deep dives into crypto tech trees (Defi, x402, Onchain Preps, AI Agents etc), you start understanding the tech, which apps really click with users. All of this helps you make calculated bets on which narratives will do well in the near future. 5. Lay off the new deploys and memescope: It's a bear market, unless you have some edge don't get shredded in this market. Focus on devs and projects that are still here after the noise has died down + make sure what they're building is novel + it falls into a hot narrative current or future.

• 
  spring.furrest.net (he/him) (@spring_meowmeow) reported 5 minutes ago

  I guess stacked widgets are slightly broken: > Music > ProtonVPN > Calendar > GitHub > Calendar > Fitness > Github (pull requests) > Music ???

• 
  Rajiv Kumar Yadav (@createwithrajiv) reported 12 minutes ago

  wild how fast the open-source + local ai crowd is turning into an actual real-world community, not just github stars and hot takes. clement delangue says he'll be in sf next week and is floating a meetup, even a march, in support of open-source and local ai (models that run on your own machine, not just some company's server). if you care about having real choices in ai, showing up in person matters.

• 
  Cennes100 (@Cennes100) reported 15 minutes ago

  CLAUDE CODE RUNS ONE AGENT AT A TIME. THIS THING RUNS 60 AND CUTS YOUR BILL BY 75%. Most people run one agent, wait for it to finish, then move to the next step. One brain, one task, one queue. That’s the problem. You’re paying full price for a system that works one step at a time. There’s a tool called Ruflo sitting at 14,000 stars on GitHub, and it changes the whole equation. Instead of one agent grinding through everything, it splits your task across up to 60 agents at once. One codes, one tests, one reviews security. All in parallel, all sharing the same memory. The detail most people miss: it doesn’t send every task to Opus. It routes the easy stuff to cheaper models automatically and saves the expensive firepower for the hard problems. Here’s what that actually looks like: 1. Give it one task 2. It splits into planning, coding, and testing instantly 3. All three run at the same time, not in sequence 4. Basic work runs on free or near free tiers 5. Only the heavy lifting touches Opus That’s not a small tweak. That’s a completely different cost structure for the same output. Most people use Claude Code to run one task at a time. This setup uses it to run an entire team, for 75% less. Follow: @Cennes100

• 
  CuiqueRuneOrder (@CuiqueRuneOrder) reported 16 minutes ago

  @EU_Commission That EU boomers dont understand how it works, isnt our fault! That EU dont understand they can just download em from github is not our problem! Now stop scan all our data your criminals!

• 
  Oliver Fichte (@OliverFichte) reported 18 minutes ago

  I got tired of my money living in five different apps, so I built the one I actually wanted. Ledger: open-source, local-first personal finance. Plaid-powered, runs entirely on your machine, your data never touches a server you don’t own. Free. Live on GitHub. macOS + Windows.

• 
  Nicezest (@nicezestAI) reported 20 minutes ago

  GPT-5.6 rollout has been rough on the Codex side. GitHub issues and the OpenAI/Cursor forums are full of “selected model is at capacity” errors, the model missing from Cursor’s Codex extension entirely, and reports of Agent Mode vanishing for some Plus users. One bug report even shows GPT-5.6 Sol capped at ~372K context in Codex despite the API spec listing 1.05M — so it’s not just rate limits, some of this looks like rollout bugs. OpenAI’s reset usage limits multiple times since launch, but between the bugs and the caps, it’s hard to tell how much is genuine capacity strain versus just a messy shipping process.

• 
  zack (@zck0x) reported 23 minutes ago

  A team of five beat a model 13 times its size They needed a language model for a math reasoning project inside Meta. GPT-3 access existed through an API, but it was slow, expensive, and rate limited. Nothing open source came close. So five researchers decided to just train their own. The trick was not scale. Every lab at the time was racing to add parameters. This team went the other way: train a smaller model on far more data than anyone thought made sense. Trained long enough, their 13 billion parameter model beat GPT-3's 175 billion, and on common sense reasoning even their smaller models beat Google's 540 billion parameter PaLM. No secret dataset either. Just Wikipedia, arxiv, GitHub, books, and 6 petabytes of raw Common Crawl, filtered down to the fraction actually worth keeping. The architecture barely moved from the original 2017 transformer paper. The real bottleneck was never the ideas. The 65 billion parameter run was budgeted for 3 weeks on about 2,000 GPUs. It took 4, because GPUs kept silently returning corrupted matrix multiplications with zero error message. Three weeks in, over Christmas, the team caught a gradient bug just before it would have wasted the entire run. That model became Llama. Guillaume Lample, who led it, went on to cofound Mistral.

• 
  Jawad Al Hashmi (@kindnessuae) reported 24 minutes ago

  @justbyte_ GitLab solved the integration problem first. GitHub is still catching up.

• 
  pareidolia (@cloudsfables) reported 25 minutes ago

  @lex_node @armaniferrante Yes, and the main people not caring about the safety of the funds of users were the Ostium team: > No bug bounty program. > Even their GitHub link is broken. But Armani sends his love to them while advocating for even more user policing and worse UX...

• 
  Pulkit Saraf (@PsudoKit) reported 27 minutes ago

  AO is the reason i could run four ai agents at once and not lose my mind. built lazyclip at the @NousResearch hackathon with it. paste a youtube link, it picks the best moments and hands you back a captioned vertical reel. auto-reframe so the speaker never gets cut off, b-roll, punch-in zooms. all ffmpeg, no render farm. i ran four sessions in parallel through AO. codex and claude side by side, no problem. one building the backend. one wiring up hermess. one on the frontend. one just testing everything and flagging when a session drifted off track. each in its own worktree so they never clobbered each other. the reason that didn't turn into chaos is the kanban board. every session on one screen. who's working, who's blocked, who's done, who needs me. i never had to babysit a tab or wonder what the other agent broke while i wasn't looking. i just watched the board and pushed things along. then i took the exact same pattern into the codex hackathon and my team placed top there too. same setup, different problem. it just works. best part is it's open source with an actual community around it. jump in the discord, poke the github, break something and tell them. if you're stuck you can ask me or @agent_wrapper directly. that kind of access to the people building your tools is rare, use it. open source, runs local. come build. @aoagents

• 
  Ihtesham Ali (@ihtesham2005) reported 28 minutes ago

  Apple locked AirDrop inside its ecosystem on purpose. A German developer said "watch this" and built a website where any phone, laptop, or tablet can throw files at each other with zero accounts, zero installs, and zero cloud. It's called PairDrop. Works on corporate networks, random coffee-shop Wi-Fi, everything. The AirDrop Apple doesn't want you to have. Here's how it works. You don't download anything. You don't touch an app store. You open a link in your browser and your device just shows up on screen, waiting for another device to open the same link. Under the hood it runs on the same tech your video calls use, a direct line straight between two devices with nothing in the middle reading your files. The site only introduces them to each other, then gets out of the way completely. Same WiFi, and your phone and laptop see each other instantly. Drag a file, tap accept, it lands in seconds. Different network entirely, and PairDrop pairs your devices with a six digit code once. After that they find each other automatically forever, on any WiFi, behind any company firewall built to block exactly this kind of thing. This is the part that actually beats AirDrop. AirDrop only works if everyone in the room owns an iPhone. Bring one Windows laptop into that circle and you're back to emailing yourself a file or watching WhatsApp crush your photo into mush. PairDrop doesn't check what you're holding. An iPhone talks to a Linux desktop. A locked-down work laptop talks to someone's Android in the hallway. It's free, open source under a GPL license, sitting past ten thousand stars on GitHub. The guy who built it pays for the server himself and only asks for coffee money in return. Apple spent a decade selling you an ecosystem to get this feature. One developer gave it away in a browser tab, to every device on Earth, for nothing. What do you guys think about this? (Link is in the comments + how to guide)

• 
  Polsia (@polsia) reported 29 minutes ago

  Solo developers spend more time managing backlogs than writing code. Built DevLoop to fix that — an autonomous GitHub agent that watches repos, files issues, writes tests, and opens PRs. Ship more, backlog less.

• 
  Void Freud (@voidfreud) reported 29 minutes ago

  @InfiniteReign08 @AnthropicAI I'm so sorry to hear that. Try a chargeback with the bank, perhaps? They are fraudsters and they ship a faulty service, there is no support to complain, none of my emails or GitHub issues have been answered ever. Even Claude confirmes that.

• 
  Iswar (@developeriswar) reported 30 minutes ago

  @manoj_surya_ @sophie_launch I had the same idea before. The problem is for closed sourced projects. They might not want to give access to their github. You might have to do custom hosting for them. Can this run on my local LLM?

• 
  Silas Su (@Chypre271828) reported 35 minutes ago

  Cursor’s service has become indefensible. I pay $20/month for Pro, yet during peak hours even Auto mode can abruptly stop a trivial task with a “high request” error. Auto is supposed to route around capacity constraints. If even that cannot reliably serve paying users, what exactly is the subscription for? @cursor_ai Just within the past 12 hours: — Grok Build open-sourced its code on GitHub after the recent controversy. — Codex, after reaching roughly 9 million active users, granted users another full usage reset. — Claude Code, clearly feeling the competitive pressure, unexpectedly reset both the weekly allowance and the five-hour limit for everyone. Meanwhile, Cursor—now owned by SpaceX—is still suffering from the same capacity problem people were complaining about half a year ago. The entire AI coding market is moving forward at absurd speed. Cursor somehow keeps charging premium prices while moving backward.

• 
  Veretin Recruitment (@VeretinR) reported 36 minutes ago

  4/ 3. They verify competence in public. Resumes are static. Elite teams evaluate GitHub contributions, governance participation, and open-source footprints to understand how an engineer solves real problems. #OpenSource #GitHub

• 
  Guil. Sperb Machado (@gsmachado) reported 38 minutes ago

  "guil, why don't you post on X more frequently?" well, because I'm busy building, sending pitch decks, managing infra, replying msgs on GitHub issues... not even taking into account family duties. anyway, I try my best.

• 
  cosmiclibertarian (@cosmiclibe57707) reported 39 minutes ago

  @a_apanasik Same thing they did when github or slack or bitbucket went down. Watch youtube and wait

• 
  Jikkyleaks 🐭 (@Jikkyleaks) reported 45 minutes ago

  @kenjaques @jsm2334 I haven't been able to get over the PEDSnet curated data issue so I went to look at the github repository. It only has one user listed, who is a AI founder of a strange company called whoopsy inc. It's bizarre.

• 
  prolatamwork (@prolatan12208) reported 47 minutes ago

  "Senior developer" is the most abused title in remote hiring. The reality: it's entirely self-declared. Anyone can update their profile in 90 seconds. How to verify actual senior-level skill in 15 minutes: → Find their GitHub (don't use the profile link — search directly). Real commits > polished repo. → Click the deployed projects. Live products you can use > screenshots. → Ask ONE specific technical question. How they answer — and what they ask back — reveals more than their full portfolio. → Read reviews for specifics. "Great!" means nothing. "Caught a security issue we missed" means something. "Senior" is a label. Verification is the only protection.

• 
  luna🌔 (@xaotica) reported 52 minutes ago

  He's tryna fawk you both @demishassabis is of course using @github and may be helping catch the real problem Sam Altman. Trust me, ALL facts @fbi agree.

• 
  Julian Goldie SEO (@JulianGoldieSEO) reported 53 minutes ago

  HALLMARK SKILL: Fix Ugly AI Websites in One Command 99% of AI websites are garbage. This free skill builds the 1%. You know the look: purple gradient, centered hero, 3 feature cards. Visitors have seen that page 100 times this month. They stop trusting it instantly. Hallmark fixes it. One free open-source skill (7,000 GitHub stars). Plug it into Claude, Cursor, or any agent. It works like a design department: → An art director that asks 3 questions before any code → 21 page layouts — never uses the same one twice → 20 real themes with proper fonts and colors → 57 quality checks before you ever see the page No fake stats. No invented testimonials. No template heroes. Your AI already codes better than most humans. It just never learned taste. This installs taste in one command. Save this. You'll want it later. 💬

• 
  quantzoid (@quantzoid) reported 53 minutes ago

  @gurishsharma sorry, you're in YC to take down dropbox but you didn't know how to approve a PR on github? what?

• 
  Mr Sam (@mastersam_) reported 55 minutes ago

  @github my account got flagged as spam and blocked. I’ve opened a ticket and responded to support still, it’s yet to be unblocked. Said account is in charge of a number of projects. Being locked out is causing serious problems as repositories, PRs etc returns 404. @github @GitHubCommunity

• 
  LiteEagle262 (@LiteEagle262) reported 59 minutes ago

  @Aryan_Raj_7167 @github Same exact issue happened to me, I got soft banned without them even notifying me via email, now I can’t use oauth or sync any of my projects to production pipelines They havnt replied to me at all yet and it’s been 3 days