Apple Store Outage Map

Community Discussion

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Apple Store Issues Reports

Latest outage, problems and issue reports in social media:

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  kiwi. 📍chi | PPi (@KiuiAirica) reported 1 minute ago

  my fav coffee shop on Broadway is down the street from the freaky Apple Store theater and I kinda wanna go in there just to cringe

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  yuki (@yuk1_ice) reported 2 minutes ago

  bad news : my tablet suddenly crashed the day before, even i tried to switch it on again but it still doesn't work , so I have to take it to Apple store for repair (and there's no guarantee they can fix it)so I might not be able to upload any digital art between now and July

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  imran (@instaguyonx) reported 4 minutes ago

  @Rushu_Tushu Yeah, I got the same, but when I got a problem, I went to Apple Store to get it fixed, but they said this is a first copy which looks like original, but inside the earbuds, a copy

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  woofthevote (@woofthevote) reported 8 minutes ago

  @Lordmiles Therefore the supply chain means its not about just walking to buy the Iphone and Airpods from the Apple store down the street. Theres a whole supply chain of driving armored trucks down non existent roads for no reason at all because Zambu money is worthless.

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  bytez (@6uappi) reported 11 minutes ago

  someone stacked 5 Mac Minis on their desk and built a private AI cluster that runs models no single machine could handle no cloud, API key, no monthly bill and no data leaving the room. the tool is called exo(open source) it connects multiple machines over your local network and splits the model across all of them like one giant GPU. what this setup actually does: 5 Mac Minis networked together = combined RAM that can run 70B+ parameter models locally exo handles the distribution automatically you just point it at your machines and it figures out the rest the node graph on screen shows each machine as a node passing inference layers to the next one latency is fast enough for real use. not a toy or demo. a working private inference cluster total hardware cost: less than one month of serious cloud GPU rental the thing nobody talks about: when you run inference locally across your own machines, you own the entire stack. no rate limits. no context window restrictions from a provider. no terms of service. no outage at 2am killing your pipeline. most people think running serious AI locally requires a $30,000 server rack this guy built it from hardware you can buy at any Apple Store

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  Vamps (@VampsandSamasu) reported 12 minutes ago

  Oh good the other way worked and the article is up for anyone else who is having trouble with posting if this gets posted the issue is probably you have a update check with your Google/apple store and if you do update but then run incognito and load web

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  ᵔ.ᵔ (@czzzen) reported 16 minutes ago

  i had to come to the apple store to fix (hopefully) my ipad

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  Big G (@Fergy_MUFC) reported 17 minutes ago

  Really don’t know what’s up with these workers at Apple Store in bay plaza. It’s like everybody have attitude. Yall think I want to be here!! As 3 times in 4 months having problems with my AirPods

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  Vel0x (@vel0xAI) reported 18 minutes ago

  A student in the United States received a $3,000 university grant and spent the entire amount on five Mac Minis, not because he wanted a better study setup, and not because he was trying to impress anyone in his dorm, but because he was tired of waking up every morning and explaining his life to an AI that had forgotten everything by the next session. He did not use the money for textbooks, private tutoring, paid courses, or a new laptop like the university probably expected. He went to an Apple Store, bought five small machines, carried them back to his dorm room, numbered them from 1 to 5 with a black marker, stacked them on a cheap metal shelf beside his desk, connected a power meter to the wall, made instant noodles, and went to sleep while the machines began turning his room into something that looked less like student housing and more like a private AI lab built on scholarship money. His neighbors thought he was mining crypto, which made sense from the outside, because all they saw was a shelf full of computers running through the night, cables hanging behind the desk, a small fan pointed at the stack, and a student who suddenly cared too much about wattage. What they did not understand was that he was not trying to mine coins; he was trying to build a system that remembered his classes, his assignments, his codebase, his mistakes, his goals, and the product he was quietly building while everyone else was still treating AI like a smarter search bar. The problem he wanted to solve was simple but annoying enough to change everything. Every time he opened a new AI chat, he had to explain who he was, what he was studying, what project he was building, what the professor wanted, which parts of the codebase were broken, what he had already tried, what had failed, what he had learned the day before, and why the answer needed to fit his specific situation instead of sounding like generic advice from a model with no memory. He realized that the most valuable thing was not another chatbot, but a system that could keep context long enough to become useful. Each Mac Mini became responsible for a different part of his life. One machine processed his lecture notes and turned them into explanations he could actually understand. Another reviewed his assignments before submission and checked whether his arguments, code, and formatting matched the requirements. A third acted like a private tutor that questioned him until he could explain the material back clearly. A fourth wrote, tested, and refactored code for the product he was building outside class. The fifth coordinated the whole system, kept the rules updated, stored the context, and decided which task needed to run next while he was sleeping. There was no development team behind it, no manager assigning tickets, no daily standup, no productivity consultant, and no university department guiding the experiment. There was only a rules file, five machines on a dorm shelf, and a student who understood that local AI became much more valuable once it stopped being a conversation and started behaving like infrastructure. The university had given him money for education, but he used it to build an education system that did not forget him. That was the part most people missed when they saw the setup. The point was not only that the machines were powerful enough to run useful models locally; the point was that they belonged to him, which meant his lecture notes, unfinished code, business ideas, exam prep, personal mistakes, drafts, and prompts stayed in his room instead of being uploaded into somebody else’s cloud dashboard under somebody else’s terms of service. During the day, he still went to class like everyone else, listened to lectures, submitted assignments, and looked like a normal student trying to get through the semester. At night, the system summarized readings, found gaps in his understanding, generated practice questions, cleaned up code, tested features, wrote documentation, and moved his side project forward without needing him to sit there and manually push every step. When he woke up, he was not starting from zero like everyone else opening a blank chat window. He was starting from wherever the machines had stopped. At first, people in the dorm laughed at the shelf with the numbered Mac Minis because it looked excessive, strange, and slightly ridiculous for a student room. Then they started asking him to summarize lectures they had missed. After that, they asked whether it could help them prepare for exams, review essays, explain technical concepts, debug projects, and remember the context of their classes without forcing them to rewrite the same background information every time they needed help. That was when the private study system became a product. He packaged smaller versions of the setup for other students, not as a replacement university and not as another generic AI wrapper, but as a memory layer for people who were tired of using tools that forgot them every morning. It became private study agents, class note summarizers, exam preparation bots, coding copilots, and project assistants that remembered the user’s material, progress, weaknesses, and deadlines. The grant was $3,000, the machines cost less to run than most monthly subscriptions, and the first paying users came from the same dorm that had originally joked he was mining crypto. What started as a way to survive his own semester turned into a product other students were willing to pay for, because it solved the problem they had all accepted as normal. Now the system makes around $45,000 a month, and the strangest part is that none of it began as a startup pitch. It began as a student using university money to stop repeating himself to a machine. The university thought it was funding his education. What it actually funded was the infrastructure he used to rebuild it.

• 
  Chidanand Tripathi (@thetripathi58) reported 19 minutes ago

  Reclaiming Your Device The man walked out of the Apple Store that afternoon with his original battery still inside his phone and his eighty nine dollars still safely tucked into his pocket. A week later, he sent the Genius Bar worker a short message. He was finishing his entire work day with forty percent of his battery still remaining. He had not touched the Low Power Mode button a single time. We have somehow accepted a strange reality where we think our expensive modern devices just naturally degrade in a few short months. But the truth is much simpler than that. Tech companies design these phones to constantly harvest data, build their corporate networks, and serve their massive ecosystems silently in the background. They are actively using your hardware and your battery life to do their heavy lifting. Stop letting your own phone work against you. Take fifteen minutes tonight, sit down on the couch, and go through this list. You bought the phone to serve you, so make absolutely sure it actually does.

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  DrPynz (@drpynz) reported 22 minutes ago

  Just spent nearly 5 hours on the phone with Apple support today and yesterday. As a customer since 2001, this is the worst experience I’ve ever had with them.Ordered a loaded 16" MacBook Pro + Magic Mouse + AirPods Pro, twice on their website. Both orders were cancelled with zero explanation.First order: Apple Pay/Apple Card issues. Reps kept saying “it’s your bank” even though Barclays confirmed no payment request ever came through. Spent hours getting bounced between pre-sales, post-sales, and tech support. Order status links broken, phone number problems, account linking issues. Second order made the next day after double-checking everything and it was also cancelled overnight.When I called back today, I was told they “can’t tell me why” it was cancelled and to “just keep placing the order until it works.” Asked for a supervisor and a rude rep hung up on me while I was waiting.Their only suggestions: call pre-sales again or go to an Apple Store (not an option for me).This is unacceptable. Long-time loyal customers deserve better than this runaround with no answers. Apple used to be top tier. What happened? #Apple #AppleSupport #BadCustomerService

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  Sumeet Gupta (@guptasumeet) reported 23 minutes ago

  @AppleSupport my imac has been lying with your genius bar for 20 days with no solution. Its latest model with all the top specs. Within warranty period and your team isnt able to fix it for so long ! Its been lying with your apple store in noida. Poorest customer service!

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  Jack (@jackcoder0) reported 24 minutes ago

  His iPhone battery health dropped to 78% after just 1 months of use. He took it to the Apple Store expecting a free battery replacement under warranty. The Genius Bar technician ran every diagnostic. The battery passed every test. The phone wasn't defective. Then she said something he wasn't expecting: "This battery isn't broken. It's been worn down. There are 8 default settings on your iPhone right now that are aging the battery faster than they should and they're all on by default. Apple ships every iPhone with them enabled. Most customers come in here thinking the battery is bad. It's not. The settings are." He asked the obvious question: "Why doesn't Apple turn them off by default?" She didn't answer. She just opened Settings and started walking him through them. Here's everything she showed him in the next 10 minutes. 🧵

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  Chidanand Tripathi (@thetripathi58) reported 24 minutes ago

  A man's iPhone battery was dying by 2 PM every day. But his Battery Health was at 99%. He constantly closed background apps. Turned down his brightness. Lived on Low Power Mode. The battery still melted like ice in the sun. He went to the Apple Store, ready to pay $89 for a battery replacement. The Genius Bar employee held up a hand: "Keep your money. Let me show you something." She opened Settings → Privacy & Security and sighed. "There are silent 'vampire' features bleeding your battery dry. Apple turns almost all of them on by default. Nobody tells you they exist. Let's fix it." Here's what she showed him in the next 8 minutes. 🧵

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  NMW (@NoisyMountainw1) reported 24 minutes ago

  It’s been over a week since my MacBook Pro laptop kicked the bucket. I took it to the Apple Store last Saturday to see what the issue was. When the technician dissembled the MacBook to see what the problem was, he saw dust inside.