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GitHub

GitHub Outage Map

The map below depicts the most recent cities worldwide where GitHub users have reported problems and outages. If you are having an issue with GitHub, make sure to submit a report below

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The heatmap above shows where the most recent user-submitted and social media reports are geographically clustered. The density of these reports is depicted by the color scale as shown below.

GitHub users affected:

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GitHub is a company that provides hosting for software development and version control using Git. It offers the distributed version control and source code management functionality of Git, plus its own features.

Most Affected Locations

Outage reports and issues in the past 15 days originated from:

Location Reports
Trento, Trentino-Alto Adige 1
Le Chambon-Feugerolles, Auvergne-Rhône-Alpes 1
Antananarivo, Analamanga 1
Paris, Île-de-France 2
Lure, Bourgogne-Franche-Comté 1
Ashkelon, Southern District 1
Veigné, Centre 1
Saint-Paul, Réunion 2
Mexico City, CDMX 1
León de los Aldama, GUA 1
Créteil, Île-de-France 1
Trichūr, KL 1
Brasília, DF 1
Lyon, Auvergne-Rhône-Alpes 1
Tel Aviv, Tel Aviv 1
Rive-de-Gier, Auvergne-Rhône-Alpes 1
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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:

  • N01ennn
    NO1ennn (@N01ennn) reported

    Microsoft ran its graph system against vector RAG on 8k, 120k, and a full million token context window, and the million token giant lost Jonathan Larson from Microsoft Research put up the numbers → LazyGraphRAG won 92, 90, and 91 percent of data-local questions, the exact place plain RAG was supposed to be strong → and did it at a tenth of the cost of the million token run the lesson buried in the benchmark → a bigger context window is not memory, structured memory is throwing more tokens at the problem was just the expensive way to be wrong open source on GitHub, the lesson a $1500 course would charge you for

  • SpeedevsO
    Michael ® SpeedevsWhale (@SpeedevsO) reported

    (use GitHub for sign in) (2025 and below GitHub) Is the requirement I think If your eligible you will get it

  • Wehk_k
    Wehk (@Wehk_k) reported

    @Ronnnnnnnner @Leo_Pier_ A dex paid would just fix or remove that github

  • mylesmarino
    Myles Marino (@mylesmarino) reported

    The correct way to use AI is increasingly looking like an onboarding checklist. Like adding a new remote drop-in teammate. Most people are still using AI like a search engine: 1. Ask question 2. Get an answer 3. Start from scratch again That's close to being a thought partner. Or if you are a bit more advanced, an assistant. Useful, reactive. Mostly a good way to save ten minutes. But treating these tools as teammates has been a critical unlock for us the past few months. You would normally give new hires: - a laptop - ticketing system logins - Slack handle - scoped credit card Even if they didn't need it all day one. But withholding critical systems means they are more "contractors" than they are drop-in remote workers. Do the same for AI: GitHub, Jira, Slack, Mercury, internal docs, the whole 9. Treat this like a new hire who happens to be forgetful. Write down everything and make a reference guide. Have scheduled reviews, so you can provide feedback and continuously improve.

  • minallkamel
    mina (@minallkamel) reported

    the more i read random issue threads on github the more my disgust for the human species gets cemented

  • stejas809
    Tejas (@stejas809) reported

    - Claude = coding. ($20/mo) - Supabase = backend. (Free) - Vercel = deploying. (Free) - Namecheap = domain. ($12/yr) - Stripe = payments. (2.9%/transaction) - GitHub = version control. (Free) - Resend = emails. (Free) - Clerk = auth. (Free) - Cloudflare = DNS. (Free) - PostHog = analytics. (Free) - Sentry = error tracking. (Free) - Upstash = Redis. (Free) - Pinecone = vector DB. (Free) Total monthly cost to run a startup: ~$20 There has never been a cheaper time to build.

  • F0kcus
    Focus (@F0kcus) reported

    Progressive spent $340 million on Snapshot dashcam analytics last year. He is 24 and built a better one on a $40 eBay dashcam He runs a fraud detection service out of a Cleveland apartment on a used ThinkPad X1 and a water-damaged dashcam he pulled from an eBay estate sale in September. Total hardware: $220. The model analyzes dashcam footage frame by frame and flags staged accidents, exaggerated damage claims, and pre-existing vehicle wear that insurance adjusters miss. He trained it on 40,000 hours of publicly available dashcam crash footage he scraped from YouTube during nights after his shift at the FedEx sorting facility on Rockside Road He posted a demo video to GitHub in October showing the model correctly flagging 47 staged accident patterns across a 12-hour test batch with 96% accuracy running on consumer hardware. A Progressive Snapshot engineering team member found it through a Hacker News thread three days later. Tricia Griffith mentioned the project by name on LinkedIn the following Monday - held it up as an example of "small-team ML solving fraud detection problems that consulting firms have been overcharging insurers for a decade to fail at." By December Progressive had wired $3.6 million into his account for the model weights and a two-year consulting contract to integrate the detection layer into the Snapshot product line rolling out to 24 million active policyholders this quarter Progressive runs at $60 billion in annual premiums on the premise that fraud detection at scale requires their proprietary Snapshot infrastructure. State Farm runs at $88 billion on the same premise with their Drive Safe & Save program. Tricia Griffith just paid a 24-year-old in a Cleveland apartment more for a GitHub repo than most Progressive fraud detection engineers earn in a decade

  • jkelleher
    John Kelleher (@jkelleher) reported

    Am I right in thinking @cursor_ai cloud agents can't read/create/update GitHub issues? Do we need to create an additional secret for this, despite the plugin already being set up?

  • KrrishTripathi2
    Krrish Tripathi (@KrrishTripathi2) reported

    @ayuxhtwt Probably grinding LeetCode to fix a bug in production because his copied GitHub projects didn't come with an "explain to my boss" feature.

  • ajgaokar
    Ashutosh Ajgaokar ⚡️ (@ajgaokar) reported

    It is not a toy either. The paper reports 82.2% on SWE-bench Verified, a set of real GitHub bug reports an agent has to actually fix, running GPT-5.5 at its highest reasoning setting. Opus 4.6 lands at 79.8%.

  • StatusDrop
    StatusDrop (@StatusDrop) reported

    Quick one: when a dependency like Stripe or GitHub goes down, how do your users find out? From you, or from the error screen? Genuinely curious how people handle this.

  • Warren42012
    Warren 🇺🇸 (@Warren42012) reported

    @cyberaxe @jiya_3063 I can see that about co-pilot. I have never paid for any subscription on GitHub and never experienced an outage for the last 7 years that lasted over a few hours

  • mantis1
    Jonathan Yantis (@mantis1) reported

    @omkarships Most have moved from managing microservices to managed services like GitHub with all the same problems.

  • TheAaryanKapoor
    Aaryan Kapoor (@TheAaryanKapoor) reported

    2 AM overthinking... So exactly how stupid is it to run a local model within the GitHub CI server?

  • firedUp_Neyu
    Nero🍀 (@firedUp_Neyu) reported

    @Alibaba_Qwen The EU: we absolutely must slow down and regulate Al to make it more ethical and eco-responsible! China: here's a demigod in a .zip file installable on your MacBook Air, please rate us on GitHub thx

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