GitHub Outage Map

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GitHub Issues Reports

Latest outage, problems and issue reports in social media:

• 
  reachpad.dev (@reachpad) reported 4 minutes ago

  Github might be down, but we aren't!

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  Khan (@yKhanPDF) reported 6 minutes ago

  Before you ask AI to build something from scratch, search GitHub. Someone probably already built most of it. Use it. Fork it. Fix what you hate. Add what you need. Build from zero only when you have to. Stop wasting ******* tokens.

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  Jason Cox (@jasonbcox0) reported 6 minutes ago

  I even blocked out the *** remotes and Kimi K3 decided to pull down its own copy from github and then diff the files to see if there were changes. Literally NO ONE is asking for this unless they are trying to pump benchmark numbers!

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  Leo - 15 y/o founder (@leodev) reported 8 minutes ago

  @anthonysheww want me to make you a few github issues so you won't be bored?

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  Dr. Reddit (@jewkiepie) reported 11 minutes ago

  Guys is just me or github is down?

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  NDTV (@ndtv) reported 13 minutes ago

  The government is worried about this messaging app. Here's why. Bitchat, the Bluetooth mesh messaging app co-created by Twitter co-founder Jack Dorsey, has been in the spotlight after it was reportedly used by protesters during demonstrations at Jantar Mantar in New Delhi. The government says the app could be misused for unlawful activities and has sought to remove its source code from GitHub. Here's how Bitchat works, why it doesn't need the internet or a mobile network, and why taking it down may not be as simple as it sounds. NDTV’s AI Editor Ramarko Sengupta (@ramarkosg) explains.

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  Ranadriel (@Frostbanemeo1) reported 13 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?

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  gab (@stackway24) reported 18 minutes ago

  @bunjavascript Can confirm my github open issue was fixed after 2 years 👀

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  SilentObserver (@SilentObservex) reported 19 minutes ago

  @ajaykraina Problem is, you cant stop this app just by blocking github repo.

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  Chawit (@ChawitAsava) reported 19 minutes ago

  GitHub cannot possibly be down again right?????

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  Koya Lokendar Reddy (@Lokendar_Koya) reported 22 minutes ago

  entry-level hiring in India just hit its lowest point in years — and if you're a 2025 or 2026 fresher, you're not imagining the silence after you submit applications. here's what the data actually says, and what you can do about it. the numbers are brutal, but honest. a 2025 EY analysis found that entry-level IT roles in India have already declined by 20–25% due to automation. at the same time, a Harvard study analyzing 66 million workers found that entry-level job postings for roles requiring less than one year of experience dropped 50% between 2019 and 2024. globally, even hiring at big tech companies for fresh graduates fell by more than 50% over just three years, according to VC firm SignalFire. the WEF's Future of Jobs Report 2025 adds that 40% of employers expect to reduce staff in areas where AI can automate tasks. this isn't a blip — it's structural. India's campus placement season is feeling it hard. recruitment by prominent companies dropped by more than 50% in the 2025 season, leaving students at even well-regarded colleges sitting with uncertainty. private engineering colleges saw placement declines of 50–70% after major IT firms scaled back fresher intake, according to an Economic Times analysis. and at Infosys — one of India's biggest fresher employers — employees aged 30 and below now make up just 50.7% of the workforce, the lowest proportion in 15 years, per a Mint analysis of annual reports. until FY18, that number was consistently above two-thirds. the reason is uncomfortable but makes complete sense. generative AI is disproportionately good at exactly what freshers used to be hired to do — routine coding, software testing, basic documentation, data entry, content moderation. Harvard economists call it "seniority-biased technological change" — AI is eating the bottom of the career ladder while senior employment at the same firms keeps growing. the learning curve that used to happen on the job is now being automated before a fresher even walks through the door. but here's the part most people miss — and it matters enormously. the overall intent to hire freshers in India is still at 73% for HY1 2026, per the TeamLease EdTech Career Outlook Report. foundit's tracker shows AI-linked hiring is projected to grow 32% year-on-year in 2026 to nearly 3.8 lakh roles. NASSCOM data shows fresher hiring in AI/ML specifically grew 22% year-on-year. the demand gap is real — demand for AI engineers is rising 40% year-on-year while the skilled talent pool grows at only 15–20%, according to Taggd's 2026 salary analysis. that mismatch is your window. the jobs aren't gone. they've moved upstairs — and you need to follow them there. so what should a fresher actually do right now? five things, in order of impact: 1. build a proof-of-work portfolio, not a certificate wall. the TeamLease EdTech HY1 2026 report says hiring has shifted from "degree and resume filters" to "skills, proof-of-work and behaviour." project-based hiring is up 38% over the past year per the India Skills Report 2026. a Tier-3 fresher with three production-ready GitHub projects will beat a Tier-1 grad with a blank resume. this is no longer a hot take — it's how screening actually works. 2. get AI fluency, not AI panic. employers now specifically prioritize AI fluency, cloud & DevOps capability, cybersecurity awareness, and data intelligence as fresher hiring criteria, per TeamLease EdTech. for AI/ML roles, freshers with Python, real projects, and hands-on GenAI experience are landing ₹6–12 LPA offers, with strong portfolios at product companies going up to ₹15 LPA. 3. stop relying on campus placement as your only path. off-campus hiring is how most product roles actually get filled. 70% of off-campus roles at product startups are filled via internal referrals before the job even gets indexed on Google, per analysis of the Indian hiring ecosystem. your LinkedIn, your GitHub, your presence in developer communities — these are the actual funnels. 4. fix your resume for ATS before anything else. most Indian freshers' resumes aren't being parsed correctly by systems like Workday or iCIMS used by Amazon India and Accenture. if your resume doesn't match at least 80% of the JD keywords, a human recruiter may never see it. this is a fixable problem that costs you nothing but 2 hours of effort. 5. pick a domain + AI combination. domain expertise in healthcare, finance, or logistics combined with AI skills is more valuable than pure CS backgrounds for many specialized roles, per OdinSchool's 2025 hiring report. if you're a commerce grad, learn AI in finance. if you're in life sciences, learn AI in healthcare. the generalist AI fresher is competing with everyone. the domain-specific AI fresher is competing with almost no one. the honest reality: the market isn't punishing freshers for being freshers. it's punishing freshers for being interchangeable. the old model — join a campus drive, get a mass-hire offer, learn on the job — is dying. the new model rewards people who show up having already built something real. the window to get ahead of this is 6–12 months of focused skilling. after that, the cohort of people who figured this out gets much bigger and harder to differentiate from. if you're a fresher reading this: what's your current plan — wait for placements to recover, or go build something right now? 🎯

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  𒀖Ackza𒀖₿ (@ackzacrypto) reported 24 minutes ago

  @coinbureau I have a feeling Jack Dorsey paid someone in the Indian government to actually ban his app on the app store, because he knows that more people are downloading it directly on GitHub oh wait! move everything one layer down now they download on his new decentralised GitHub LOL

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  Casey Collins (@itisthecase) reported 25 minutes ago

  Looks like you can't create PRs in Github right now Seems like the reliability issues will continue until morale improves

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  Parimal (@Fintech03) reported 25 minutes ago

  Every Sunday, I feature an exceptional startup built by Indian founders that deserves a spot on your radar. Today’s feature: Praxiom AI, built by @abhichat85 If you have ever worked in Product Management/Software Engineering, you know the single biggest bottleneck in shipping software is translating user research into actionable engineering tickets. *** spend hours wading through Zoom call recordings, customer support threads, survey CSVs & sales transcripts. What usually happens next? Insights get trapped inside messy spreadsheets/abandoned Notion docs. PRDs are written based on gut feeling/whoever shouted loudest on Slack :)) Engineering tickets end up completely detached from the actual user feedback that sparked them. The end result? Engineers build features that users never actually asked for. Praxiom treats product management like a Version Control System for user research. Instead of relying on a single prompt, Praxiom splits tasks across specialized AI personas: a researcher extracts raw facts, a synthesizer clusters themes, a drafter writes PRD blocks & an independent verifier audits the entire output. Every single claim/PRD requirement/user metric gets an automated Research Quality Score. If an insight is not backed by an exact verbatim quote from your uploaded data, the verifier flags it to eliminate AI hallucinations. It converts structured PRD blocks into scoped engineering tickets directly inside Linear/GitHub/Jira, carrying source citations right into the developer's workspace. Now, what Could Be Done Better (this is entirely my perspective & product is still in early stage): - Right now, Praxiom excels at qualitative data (interviews, tickets, support logs). Integrating realtime product analytics tools like Mixpanel/PostHog directly into the verification loop would allow the system to validate user complaints against actual usage telemetry. - Closing the loop when a feature actually ships. Once a Jira ticket generated by Praxiom gets marked "Done," the engine should automatically track incoming feedback on that specific feature to tell the PM: "Did this actually solve the problem we identified 3 weeks ago?" Praxiom is stripping away the tedious manual synthesis so *** can focus on strategic decisions while keeping every line of code strictly anchored to real user needs. Built by brilliant Indian engineering minds for a global audience. Definitely a team to watch out for! (Startup link in the comments below)

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  Enes (@enesozturkdev) reported 26 minutes ago

  Plan for today; ship like crazy for side project Meanwhile two pillars of it GitHub and OpenAI down so bad