Apple Store Outage Map

Community Discussion

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Apple Store Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Pongsametrey S. (@pongsametrey) reported 5 minutes ago

  @GooglePlayBiz Why App review take too long, we got stuck by CA issue and have to wait too long compare to Apple Store, help to check app CoolApp Cambodia please.

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  Daniel Ortega (@dan_in_robots) reported 12 minutes ago

  I don't know. I'm sure it's pretty, but this looks like an Apple Store on wheels. Where are the physical controls? I'll take real engineering that solves real problems. My two cents.

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  Thom van Lieshout (@thomvlieshout) reported 13 minutes ago

  @0xYudi They werent sure at istore… annoying af. Apple store would fix it for free without a second thought

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  Sumeet Gupta (@guptasumeet) reported 15 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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  Campbell (@boomers_ass) reported 17 minutes ago

  The Apple Store is a joke. Went in last week to replace my iPhone battery. They had to order the part. Waited ~10 days, then got told: “Come in within 2 days or we might give the battery to someone else.” Made an appointment for today. Waited, then the rep says they can’t do the repair because “the system we use to track repairs is down.” Me: “You have the part. You have my phone. But you can’t install it because the computer is down?” Poor guy — not his fault. But the geniuses running the Apple Store aren’t quite as smart as they like to pretend. This is NOT the future.

• 
  Utkarsh Neil (@iUtkarshNeil) reported 19 minutes ago

  The biggest problem with Unicorn is that they keep fake apple devices. All the apple devices you buy from them will have a super fast decline in battery health. I got the same device from Apple Store delhi and unicorn and the unicorn one I had to sell off within 6 months

• 
  Zavian Kairo (@ZavianKairo_AI) reported 20 minutes ago

  The uncomfortable truth: Apple’s business model rewards storage anxiety. The more often customers see “Storage Almost Full,” the more likely they are to: 1. Pay for iCloud subscriptions 2. Upgrade to higher-storage models 3. Buy a new iPhone entirely Every default setting on a new iPhone trends in the direction of consuming more storage, not less. The 7 fixes above take about 10 minutes total. They cost nothing. They will recover an average of 40–60 GB on most iPhones over 12 months old. The Apple Store employee said one more thing before he left: “We see this every day. Most people don’t even check Settings → General → iPhone Storage before they walk in. They just assume the phone is too small for them. It almost never is.” RT this so more iPhone users stop spending $1,000 on a storage problem that could be solved with 7 toggles.

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  0xSuhar (@suhar_ceo) reported 20 minutes ago

  ok so I just saw the most unhinged tech setup and I need to talk about it someone stacked like 50+ Mac Minis on a shelf. yellow shelf. looks like a construction site met an Apple Store. and honestly?? this is lowkey genius and I'm mad nobody told me sooner because here's the ***** secret — the M-series Mac Mini might be the best value compute unit on the market right now. per watt, per dollar, per cubic inch of space. it destroys traditional server hardware in efficiency. it just doesn't LOOK like serious infrastructure so people dismiss it but some guy in a random office somewhere said you know what, I don't need a $400k rack from Dell. I need 60 of these bad boys, some ethernet, and a dream. and now he has a build/test pipeline that probably runs faster than your company's entire cloud setup no loud fans. no special power requirements. no "enterprise support contract" where someone charges you $800 to restart a service. just apples. wall to wall apples. the chair sitting lonely in the corner of the shot is sending me. someone WORKS there. they just sit next to the apple army every day and think nothing of it we are not the same #ai #macmini #macmini4

• 
  Nitesh kumar (@NiteshRealTalks) reported 21 minutes ago

  Yesterday, when I visited the Apple Store, I noticed that some people were purchasing mobile phones and other items using cash instead of making online payments; it is quite possible that they use online services as well. I was surprised to see why they were going to the trouble of carrying such a large amount of cash with them.

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  Rachel Spencer (@Ray_swalter) reported 21 minutes ago

  I love when I plug my iphone in to charge on the charger I bought at the Apple Store only for my phone to tell me this charger is a slow charger

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  ankuy (@ankuy) reported 22 minutes ago

  @UTDAhmard @Suzzy0310 I disagree, my 16 pro max last me for a whole day, also my second phone, 15 pro battery is excellent too, don’t buy gadget from computer village, enter the Apple Store in ikeja and get your gadgets you’ll have zero issue, 90% of phones in computer village are refurbished

• 
  Brooks (@Brooks_exe) reported 22 minutes ago

  there's genuinely something wrong with my iPhone 17 Pro Max that i paid over a grand for, shits having connectivity issues over both mobile data and wifi, gonna have to drop into the Apple Store at some point...

• 
  Dawson Gibbs (@dawsbg) reported 23 minutes ago

  The biggest challenge for all consumer apps is acquiring users at the lowest cost. Sweatcoin was having the same issue before it exploded with new users. It was able to acquire users with traditional paid ads, but its CPI would always remain high. Sweatcoin's growth stayed linear until it decided to try a new strategy. And that strategy was mass UGC marketing. Sweatcoin partnered with creators and created organic feeling content. High volume testing of viral hooks and formats. It took these winning viral pieces of content and turned them into Spark Ads. UGC powered paid media. Sweatcoin never had to burn ad spend by guessing on creatives when the creatives were already proven to convert and get engagement. Sweatcoin 10x'd it's ROAS using this viral content made by creators. Hiring tons of creators and ad spend sounds costly, but in reality, Sweatcoin was able to lower its CPI by 53%. In fact, on Apple Store Sweatcoin had the lowest CPI possible. 60 million users acquired. And it all started with one shift in thinking. Mass UGC + UGC powered paid media = 📈 🚀 user acquisition Stop guessing on creatives. Let the market tell you what works. Then put money behind what's already proven. Organic tests it. Paid scales it. Simple as that.

• 
  Nethead (@nethead) reported 26 minutes ago

  Does @Apple have a iPad Pro USB-C charge port issue iPad Pro lasted less than two years USB-C port wouldn't charge, Apple replaced with New iPad (not refurbished) Applecare 2nd iPad Pro 17 months old has same issue, headed to Apple store on Sunday @AppleSupport #CookEra

• 
  Asher Crowe 🪺 (@ashercrw) reported 27 minutes ago

  A 31-YEAR-OLD IN BELGRADE IS PULLING $8,400 A MONTH OFF FIVE MAC MINIS RUNNING IN A TOWER ON HIS DESK. The whole stack costs $19 a month in electricity to operate. The hardware paid for itself in week one. The setup is so quiet his girlfriend didn't notice when he turned it on. His name is Stefan. This is the cleanest example of the new solo operator economy I've seen all year and the numbers deserve a full breakdown. The hardware is five M4 Mac Minis stacked in a tower on his desk. Each one has a number written on it in marker, 1 through 5, so he knows which node dropped when one goes silent. A pink dumbbell sits on the shelf above them. A can of compressed air on the windowsill. The whole thing hums quieter than the mini fridge in the corner. The five machines are clustered with EXO into one virtual machine. EXO is the open-source framework that lets you string together consumer hardware into a distributed inference rig without needing a degree in systems engineering. The setup runs Llama 70B locally on MLX, Apple's machine learning framework optimized for unified memory. Nothing he runs ever touches a cloud server. No API costs. No rate limits. No latency tax. The model runs on his desk and answers in milliseconds. Here's the workflow he built around it. A client uploads a raw manuscript. Anywhere from 60,000 to 120,000 words. Indie author novels, self-help books, faceless YouTube channel scripts, the kind of long-form content that needs narration but doesn't have a studio budget. The Llama 70B model does the reading work first. It ingests the raw text, cleans the formatting, splits the chapters automatically, and tags every line of dialogue with the emotional tone it should be read in. Excited. Whispered. Angry. Resigned. Then it writes the chapter descriptions that faceless YouTube channels paste directly under their uploads. All of it done locally. All of it done in one pass. Then an open voice model on the same stack takes over and narrates the entire book in a single locked voice. The voice never gets tired, never asks for a re-record, never raises its day rate, never catches a cold the day before a session. The same voice across every chapter, every book, every client. Consistency that human narrators physically cannot match. A local audio mastering model handles the final polish. Compression, leveling, breath cleanup, room tone matching. The output is studio-quality audio ready for upload. The stack renders 28 hours of clean narration per month while he sleeps. He wakes up, exports the files, sends them to clients, invoices them, and goes back to whatever he wants to do with his day. Now the part that breaks people. The power draw across all five machines running at full load is 180 watts. He has a KUMAN meter plugged into the wall to track it. A single gaming PC idles higher than that. The entire AI studio he built consumes less electricity than a hair dryer on low. At Serbian residential rates that works out to roughly $19 a month in operating cost. Eight thousand four hundred dollars in, nineteen dollars out. A 442x margin on power alone before you account for the fact that the hardware paid for itself the first week he turned it on. His girlfriend asked why the power bill didn't move after he built it. He told her it can't, the machines barely draw anything. She asked what the whole thing cost to set up. He told her. She asked why he didn't build ten. That's the right question. A traditional audiobook studio has a narrator on a day rate, a booth, an engineer, and a monthly power bill that buries solo operators. The cheapest professional narrator in the US charges around $200 per finished hour. The cheapest decent one runs closer to $400. A 10-hour audiobook costs an indie author at least $2,000 in narration alone, plus mastering, plus mixing, plus the three week turnaround time while the narrator fits the project into their schedule. Stefan delivers the same product for a fraction of the cost, in 48 hours, with consistent quality across every chapter, and his only constraint is how fast he can find clients. The economics are completely deranged compared to traditional service businesses. He doesn't pay rent on a studio. He doesn't pay a narrator. He doesn't pay for cloud compute. His marginal cost per audiobook is approximately the electricity it takes to run the cluster for the duration of the render, which is measured in pennies. A few realizations worth sitting with. The frontier of AI economics is no longer in San Francisco. It's in apartments in Belgrade, Lagos, Manila, and Tbilisi, where operators with low overhead and high technical curiosity are quietly running businesses that look impossible from the outside. The geographic distribution of who actually makes money from AI is going to look nothing like the geographic distribution of who funded the labs. Local inference is the quiet revolution nobody on this app is talking about loudly enough. Every workflow that currently runs on OpenAI or Anthropic APIs has a cousin that runs on a Mac cluster for the price of an electrical outlet. The companies paying $30k a month in cloud bills are going to wake up in 18 months and find their margins eaten by operators paying $19. The audiobook market is just the beginning. Every service business with high human labor costs and predictable output requirements is about to get the same treatment. Voiceover work, transcription, translation, copywriting, image editing, video editing, customer support, technical writing. Each one of these has a local-inference version waiting to be built by someone with a stack of Mac Minis and an EXO config file. Stefan didn't invent anything. He just connected the right pieces. The pieces have been sitting on GitHub for over a year. The Mac Minis have been on shelves at every Apple Store. EXO is free. The voice models are open. The orchestration is a weekend project. The only barrier was knowing it was possible. Now you know.