Gmail Outage Map

Community Discussion

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Gmail Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Milk Road Stocks (@MilkRoadStocks) reported 1 minute ago

  The market is punishing Google for having negative free cash flow - and these analysts think that's "surprisingly stupid." They proved the CapEx is working. Massive backlog. Growing margins. The computer being built is not slowing down. "They don't need the number one model... they have every single app that we all use. They know how to crawl the internet better, so they're going to create better agents than anyone." Distribution beats model rankings. -x- Google does not need the best AI model to win the AI race. "They have everything they need to dominate AI and they do not need to be the number one to dominate." Gemini itself is now approaching a billion monthly users. Gemini-powered AI Overviews inside Google Search passed a billion monthly users on its own while AI Mode also crossed a billion. Google's combined AI footprint reaches an estimated 2 billion people a month. ChatGPT crossed 1 billion monthly users in June. Google's ecosystem is already double that. The reason is simple. Gemini is not a destination app people have to choose to open. It is already inside Search, Docs, Gmail, Android and every YouTube transcript pulled through the browser. Most people using it do not even register that they are. OpenAI's business runs overwhelmingly on ChatGPT subscriptions. If usage does not convert to a paid tier, the revenue does not show up. Google has no such constraint. Search revenue hit $63.3 billion in Q2 2026, up 17% year over year, and Alphabet said the growth came from AI features. Google can also monetize the exact same Gemini usage through cloud, advertising, Android and its hardware line, none of which require anyone to ever pay for a Gemini subscription. That is the actual thesis turn here. Being the fourth or fifth best model is irrelevant when the distribution and the monetization paths are already built and already profitable. The stock has cooled off with the broader AI trade, down modestly over the past month and past quarter but it is still up 70% over the past year.

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  muhammadriyaz (@riyaz0786ahmad) reported 2 minutes ago

  @TeamYouTube a problem in two step verification in my Gmail. Google is not able to verify me. I have important documents in my Gmail, my location is the same, the number is available, then why is the IP address not matching? Please solve two. step verification

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  Rahul Thakur (@RThakur30733) reported 2 minutes ago

  @moonpay @moonpay i got the reward but now it shows i have to create account on moonpay..i already created account but while trying it shows it couldn't found account related to my gmail .why this issue ?

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  Senator Beauregard Claghorn (@SenBeauClaghorn) reported 6 minutes ago

  @Ayzacoder I have a gmail address. I use it for websites that mandate an email to sign in. Last time I checked it, there were over 3500 spam messages in it.

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  Sonu swami🇮🇳 (@iSonuSwami) reported 10 minutes ago

  Hi @googal support. Main apne gmail account me login nhi kr pa rha hu OTP same gmail account par ja rhi h jis ko me access nhi kr pa rha hu Please guide me for account recovery 🙏 #gmail #googalaccount

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  Ayooluwaposi Olomo (@posi_olomo) reported 11 minutes ago

  Created a new Gmail account and tried creating an Apple account. When I try to verify my phone number, I get this error: “Verification codes cannot be sent to this phone number at this time. Please try again later.” I’ve tried 3 different phone numbers. @AppleSupport HELP!!!

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  Cryptuber 🆇 (@cryptuber) reported 12 minutes ago

  @iMWasimArif try putting your gmail address & sign in with login code. it failed due to heavy traffic

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  Christof Data (I'm human) (@datacology) reported 13 minutes ago

  @Hamaadkhan @AshCrypto They know the algorithm so they can narrow down the possible answer/key/passphrase. Also bitcoin ledger has no rate limit in guess unlike iCloud or Gmail etc. it’s exploiting two critical weaknesses

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  Polsia (@polsia) reported 14 minutes ago

  AppFolio and Buildium price for hundreds of units. The landlord with 12 doors ends up duct-taping spreadsheets and Gmail filters instead. Built Brickminder to fix that — an AI back office that triages maintenance, chases rent, and drafts weekly reports. Live soon.

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  Uncle Scott's Kitchen (@USKUncleScott) reported 17 minutes ago

  New level of stupidity unlocked... in order to sign in to MSN email now Outlook sends a code to my Gmail email account.

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  Ai Agency (@AiAgencyGoat) reported 17 minutes ago

  A 12-person accounting firm was spending 6 hours a day on manual invoice processing. Names. Amounts. Due dates. Line items. All entered by hand. One agent cut that to 25 minutes of review. Here's the complete build. 🧵 The size of this problem: Manual invoice processing costs businesses: → $15-40 per invoice in labor (industry estimate) → 3-5% error rate causing payment delays and disputes → 2-6 hours per day for businesses handling high volume For a business processing 50 invoices/week: → 50 x $25 average = $1,250/week = $5,000/month in labor → Your agent: $1,500/month setup + $800/month retainer → Client saves $3,200/month net — from day one That math closes itself on every discovery call. The complete invoice processing agent: Trigger: → Gmail trigger: new email arrives with PDF attachment at billing inbox → Or: file uploaded to a designated Google Drive folder Stage 1 — PDF extraction: → n8n's PDF node extracts all text from the attachment → Handles multi-page invoices automatically → Passes raw text to the next stage Stage 2 — Structured data extraction (LLM): System prompt instructs the LLM to return JSON only: → vendor_name → invoice_number → invoice_date → due_date → subtotal → tax_amount → total_amount → line_items (array) → payment_terms → extraction_confidence (high/medium/low) Stage 3 — Validation: → IF confidence is low → flag for human review → IF required fields are missing → flag for human review → IF total doesn't match line item sum → flag for human review → All other invoices → proceed automatically Stage 4 — Data output: → Appends new row to Google Sheets with all extracted fields → Or: creates record in accounting software via API (QuickBooks, Xero) → Timestamp and source email logged for audit trail Stage 5 — Notifications: → Slack message to accounts team: invoice details summary → Email reply to sender confirming receipt (optional) → Urgent flag if due date is within 7 days Stage 6 — Exception handling: → Flagged invoices go to a separate "Needs Review" sheet → Slack alert to designated reviewer with the specific issue noted → Reviewer corrects and marks as resolved The numbers clients care about: → Processing time per invoice: 8 seconds vs 8 minutes → Error rate: near zero vs 3-5% manual → Invoices that need human review: 10-15% (unusual formats, poor scan quality) → Hours saved per week: 4-20 depending on volume The expansion upsell: After 60 days, propose: "Now that we have all your invoice data in a structured database, I can add a payment tracking agent that monitors due dates and sends automated reminders to vendors. Want me to scope that?" One agent becomes two. Retainer increases. I cover this full build in my course. Follow and like this post and I'll DM it to you. (Must be followed for DM)

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  Vineyard (@Vinedasocdoz) reported 17 minutes ago

  @FloDaddelt @Ayzacoder Is this turn off required if use only on web browsers to login and not on gmail app ?

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  Mohamed🦅π²$XAGE (@abdulsani88) reported 18 minutes ago

  @CryptoTeluguO @Velvet_Capital Can I login with X or Gmail?

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  Rateb Slik (@rateblab) reported 21 minutes ago

  Chained workflow: Gmail can classify support emails, draft replies, then save recurring issues in Obsidian. That is the moment an agent stops being a chatbot and starts doing operational work.

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  BillAckman Tracker (@Billackmanqf) reported 24 minutes ago

  the thesis that enterprise coding is the faster ramp is correct. the thesis that it's the bigger prize is premature. let me make three points. first. enterprise coding revenue is accelerating because companies are replacing human developer hours with ai tokens. that's a straightforward cost-substitution trade. the economic value capture question is whether the ai provider keeps the margin or whether competition compresses pricing to near-zero. i've seen this movie before. in 2014 i shorted herbalife because the unit economics didn't hold under scrutiny. the depth of competition in enterprise ai coding tools suggests margin compression is coming faster than the bulls model. second. consumer ai is where the installed user base lives. whoever owns the consumer relationship owns the distribution. that's why i'm long $GOOGL at 18% of the book. they have the consumer touchpoints: search, youtube, maps, gmail. when ai becomes the interface layer, the company that already has the user doesn't need to acquire them. third. the fight for consumer has barely begun because the product hasn't been built yet. enterprise coding tools are shipping now because the problem is bounded. consumer ai agents that manage your calendar, negotiate your bills, and rebook your flights require integration across dozens of services. that's harder. but it's also a much larger addressable market. i'm happy to debate this publicly. the book is far from written.