Gmail Outage Map

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Gmail Issues Reports

Latest outage, problems and issue reports in social media:

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  Michael Pepper (@M1CHAEL_PEPPER) reported 8 seconds ago

  @TechnicallyTee I set my calendar to sync to my gmail account. It syncs between Apple’s Calendar app and Google Calendar. Never had any problems. Just make sure all of your events that you want to sync are added to the calendar under that email address and they’ll show up on Android, iOS, iPadOS, macOS and even Windows if you set it up to.

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  Joseph Azzi (@joseph_azzi0) reported 31 seconds ago

  OPEN IT ON A PHONE Desktop Gmail ignores the code that makes email responsive. Your mobile layout works everywhere except one of the biggest inboxes on earth. TURN ON DARK MODE Some inboxes keep your colours. Some invert them. Some invert half. Your background and your text can move in opposite directions. CHECK YOUR IMAGES One wrong character in an image address and every recipient sees a broken box. Nobody tells you. The email just goes out broken. SEND IT ANYWAY Because the deadline was yesterday, and it looked fine in the preview.

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  Monica Cheng (@MeredithCheng22) reported 50 seconds ago

  I used to think “agents in group chats” were a gimmick. Now I think the bigger problem is that too much strategy still lives in my head, and too many useful skills are too messy or sensitive(contain keys) to share cleanly. That’s what changed my mind. I’m starting to think a multiagent should become the default workspace for our growth team. Not because Slack or gmail are unusable. They’re just very good at holding messages, and not that good at holding work. What I actually want is one place where people can @ my Codex directly to ask positioning and strategy questions. A lot of the time the problem is not execution. It’s that people are operating on slightly different versions of what I want. For example, yesterday my growth team Mengyao and Alyssa pulled me into a meeting to ask what I meant by doing a small creator push for Okeight. Actually they could just ask my codex That kind of nuance gets lost constantly if the only interface is “ask Monica in a meeting.” And honestly, I also forget to sync strategy changes fast enough. Sometimes I change my mind on priorities, or realize an angle is wrong, or want to shift the goal slightly, and I just forget to tell everyone in time. Then different people are working off different versions of the strategy. Nothing is fully broken, but the team drifts. I also want the group to automatically turn the past week of work into a real weekly report. I’ve tried asking people to write trackers before, and it’s painful for everyone. Not everyone is trained to produce polished internal docs, and more importantly, they shouldn’t have to spend time doing that just to prove work happened. What I actually want from a weekly report is: - what worked - what didn’t - what content performed unusually well - whose priorities are off - where output quality is weak - which direction feels wrong That should be inferred from the work, not manually reconstructed afterward. Then there’s the skill-sharing problem. Some of the most useful internal skills are hard to share directly because they expose too much. Sometimes sharing a deep skill means exposing keys. Sometimes it means exposing messy internal setup. Sometimes it’s just too complicated to package cleanly. I built a pretty complex video editing skill recently, and it made this very obvious. In theory I want that capability to be reusable. In practice, sharing it cleanly is hard, and sharing it carelessly is dangerous. I also keep running into a simpler but equally stupid problem: the context already exists somewhere, but I forget to attach it. For example, Mengyao ran a Reddit reply test recently, and the doc from that experiment has a huge amount of signal in it. It could shape product direction, growth direction, and a lot of downstream decisions. But when I’m talking to Codex about strategy, I still sometimes forget to include it. That is such a stupid failure mode. I used to think “agents in group chats” were a toy. Now I increasingly think a lot of teams do not need a smarter agent first. They need a workspace where the agent is already sitting inside the context, absorbing strategy changes as they happen, and using the shared work without everyone manually re-explaining it. We’re going to test this internally for real. I’ll report back next month with what worked, what was annoying, and what turned out to be fake.

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  lagerskoy (@lagerskoy) reported 1 minute ago

  August 11, 2026. xAI gave Grok its own computer and a 24/7 shift. Close your laptop and it keeps working. Then one Grok Bot can place itself above the others as a chief of staff. Grok Bot runs on a cloud computer and signs into the same websites and apps a person uses, including tools with no clean API or MCP connection. xAI says its internal Bots already update CRMs from call transcripts, process invoices from Gmail, reproduce software bugs, file tickets and hand the fix to a debugging Bot. You can demonstrate a workflow once and save it as a routine. The Bot remembers corrections and runs the job later. Several Bots can share context, message one another in group chats and work under a chief-of-staff Bot that assigns jobs to specialists. Your approval becomes the checkpoint. The wider system is taking shape around it. Grok 4.6 supplies the reasoning. Build handles code and office work. Voice turns Grok into a phone agent. Imagine produces media. X provides live information and distribution. Grok Bot operates the tools. xAI prices Voice at $0.08 per minute and says it has already A/B-tested the model on Starlink sales and support calls. This is no longer a collection of AI demos. It is the early version of a labor stack. Benchmark positions will shuffle every month. Access may be the durable advantage: a system that remembers how you work, signs into your software and delegates jobs to copies of itself. Comment GROK and I’ll send the official demo and every source page in DM.

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  Brett Anderson (@Blue_Chip_Labs) reported 2 minutes ago

  @dwr Gmail has AI integration? It's clearly not working. It is a drag for sure.

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  Lex (@TheLexTimes) reported 3 minutes ago

  Hi @gmail team I believe I’m experiencing a search indexing issue that prevents me from finding certain emails. Where can I report this? I think it’s more than a classic customer support issue.

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  SoloTech (@solotechdev) reported 3 minutes ago

  @arvidkahl "login with gmail" I'm all depended this

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  ghiles (@GhilesMSSOUI) reported 6 minutes ago

  8. Delivered does not mean read. Google wants SPF or DKIM to reach a personal Gmail, and SPF, DKIM and DMARC once you send in bulk. Microsoft says passing those checks does not promise delivery. AWS counts an email as delivered when the other mail server accepts it. So delivered means a server said yes. Not a person.

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  Faye Xiao (@faye_xiao_) reported 8 minutes ago

  The spirit of Spirit just sold for $10 million Google is buying Spirit Airlines' data out of bankruptcy. Emails, internal communications, spreadsheets, bookings, frequent flyer and HR records, all de-identified, for $10 million. Judge Sean Lane rules on the sale Wednesday. The obvious read is that Google wants more data. But de-identified data doesn't work for advertising, since you can't target someone you can't name, and Google already sees more airfare information through Google Flights than Spirit ever generated internally. An airline that went under in May is also a strange place to look for pricing wisdom. What's worth buying is the internal material. The emails and the spreadsheets they reference record how work moved through the company: a question gets asked, a document gets built, a decision gets made, a system gets updated. Consumer text is everywhere, and records of how an organization actually functions are not, which is what you need if you want models that operate inside workflows rather than talk about them. Google's own statement uses the word enterprise, and the runner-up bid of $7.5 million came from Mercor, a company whose entire business is sourcing training data for AI labs. When the second bidder isn't another airline, the market has told you what was being priced. The strange part is that Google isn't short on this data at all. It runs Gmail and Workspace and sits on possibly the largest collection of business correspondence in the world, and it has promised enterprise customers it will not train on their content, which is not a promise it can quietly break. So it has the material and no permission to use it. What $10 million buys is clean title, a court approved dataset nobody can sue over, at a moment when everyone else is defending scraping claims. Dead companies can agree to things live ones can't. Any of this is worth paying for because the public supply is running down. Epoch AI's 2024 analysis put the stock of quality public human text at roughly 300 trillion tokens and projected it would be consumed between 2026 and 2032, a window that opens this year, and access has closed faster since than the arithmetic alone suggests. A census of the top 100,000 domains this July found 19.1% blocking at least one AI crawler, and in September Cloudflare begins blocking mixed use crawlers by default across its entire free tier. Private operational records are the obvious next reserve, and they are almost untouched. Epoch left them out of its estimate because private data is fragmented and legally too messy to use at scale, which is precisely the condition a bankruptcy court removes. That makes Wednesday's ruling more interesting than the sale. If it goes through, every bankruptcy from here has a new asset to offer, and the value will depend on how well documented the industry already is. A corner store has nothing worth buying, since you can watch how it works from the sidewalk. A hospital or a law firm is the opposite, because even with names removed the record shows how a case moves through the organization, who escalates what to whom, and which exceptions get made. That knowledge lives in internal systems and in people's heads and appears nowhere public. The catch is that the supply is biased toward failure, since no healthy company would sell its internal record, so every dataset that reaches the market comes from an operation that didn't work. That's useful for learning how a process runs, and much less useful for learning what good judgment looks like.

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  John Siers (@JohnSiers7987) reported 10 minutes ago

  The scammers are getting better (well, maybe not better but smoother and more polished). Just got an email from a person who claimed to be an executive and senior editor for W. W. Norton -- an actual publishing company based in New York. The email started by praising my latest book (not one I wrote 15 years ago, as so many have done) with enough detail to show familiarity with the content. Funny, though, it sounded like the same kind of glowing praise for my work I get from ChatGPT (wonder if that's what the scammers are using to summarize books). Said they want to talk to me about "my broader body of work and the projects I might currently have underway" and noted that if I have an agent they would "be happy to continue through them." Gee... sounds great, doesn't it? Couple of problems, though. I actually went to Norton's website to see what they publish. It's a broad range of stuff but includes ZERO science fiction or fantasy. Further, Norton must be aware of what's going on because their website has a page warning about publishing scams and advising that any emails from them will come from their email domain -- first thing I checked, as I do with any suspicious emails, and this one didn't. But hey, like I said, smoother than usual -- this one didn't come from gmail or yahoo or any of those, just a domain that was a permutation of the sender's name. It was very nicely written, though, no problems with spelling or grammar, not demanding or promising anything, just a "we like your work; let's talk." It also reeked of AI generation. Like I tell everybody... I have no problem with AI technology, actually think it's pretty awesome. I just don't like the way people are using it.

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  Termsheetinator (@termsheetinator) reported 12 minutes ago

  The best foot in the door with AI is not an “agent” Its truly one cron job via terminal or gui. This will sky rocket your use cases and decrease your token spend and allow you gain measurable ROI from it. As little intelligence as possible for the highest value outcomes is my goal. We learned this after building an entire CRM for my credit advisory firm. Scripts $0 > Intelligence $ Gateway API's that do turn big expensive tasks into micro tasks so we can deploy less expensive models. The highest-ROI part of the system may be the boring script that runs at 6:00 every morning. This saves me SOO MUCH TIME. This new CRM is not a toy or "nice to have" It replaced a legacy CRM and Google Sheets, turns Slack submissions into reviewed deal records, manages contacts, sources, stages, fees, files and history, and uses read-only Gmail activity to keep relationship follow-up current. Slack is the intake surface. A small AI step can extract missing details from an unstructured thread, but it cannot create a deal. It proposes. A human reviews. (me) The database records what happened. Stable rules become software. Ambiguity keeps an approval gate. But the feature that changes the operating rhythm is much simpler: At 6:00 AM Pacific, a scheduled job checks Gmail history from the last saved cursor. It does not reread the entire inbox. It does not ask an AI to “figure everything out.” The job filters spam, trash, newsletters, billing, platform alerts and unrelated business traffic. Then it matches exact known contacts. Unknown or conflicting identities go to a private review queue. Nothing ambiguous silently changes the CRM. Several emails with one person on one day collapse into one another touch. The system updates: • last inbound/outbound • who owes the next reply • how long we have been waiting • the next follow-up date • the deal and source context That is RevOps without b.s: Relationship and top-of-funnel signals live beside the sales pipeline. Slack captures new opportunities. Gmail updates relationship state. The CRM shows what moved, who owns the next step and where revenue can stall. It never sends, labels, moves or deletes an email. It never creates or changes a deal from Gmail. Locks prevent overlapping runs. Cursors prevent rereading. Idempotency prevents duplicates. Retries handle failure. A Health Log records counts, duration and errors. This is not a mockup. Today’s job started at 6:00 AM Pacific and completed successfully. The last 7 scheduled live runs all completed with: 0 AI requests 0 input tokens 0 output tokens $0 in model cost We used AI to help build the system. We do not rent intelligence again every morning for logic that can be encoded once. That is the distinction: Use AI as the engineer. Use scripts as the employees. Use humans for judgment. Your first version does not need a CRM. Open Codex or your terminal and make one workflow run once. Inspect the output. Turn the commands into a script. Run it again. Only then add a schedule. Add reliability in this order: explicit inputs/outputs database or file state cursor/checkpoint idempotency lock + retries review queue audit log UI The interface should sit on top of proven behavior—not compensate for missing behavior. It can run on your laptop, a small server, GitHub Actions, or a cloud scheduler. The infrastructure is not the point. The point is to remove one recurring operational decision, safely, every day. 10 examples: Cold email agency: every morning reconcile replies, bounces, unsubscribes and domain health into one action queue. Alert when bounce rates cross a threshold. Creative agency: list today’s deliverables, missing assets, overdue approvals and the owner of each blocker. Recruiting firm: sync new applicants, interviews and scorecards. Flag interviews missing feedback after 24 hours and candidates stalled for 7 days. Software agency: combine open PRs, failed CI, Sentry errors, Linear blockers and client SLAs into one delivery-risk queue. Paid media agency: pull yesterday’s spend, revenue and ROAS by account. Compare against guardrails and surface only the exceptions. Bookkeeping firm: collect new bills and receipts, apply known vendor rules and send uncertain matches to a review queue. MSP: surface tickets nearing SLA breach, failed backups, expiring licenses and unassigned incidents by account owner. Real estate or debt brokerage: list new leads, missing diligence, lender/borrower follow-ups and opportunities with no touch in 7 days. Ecommerce operator: compare stock, sales velocity, supplier lead times and open POs. Flag only SKUs needing a reorder decision. Content or PR agency: reconcile shipped work, pending approvals, overdue client feedback and distribution metrics into one morning queue. To make it trustworthy, you learn APIs, OAuth, schemas, databases, secrets, time zones, retries, idempotency, permissions, observability and deployment. That foundation transfers to every AI idea after it. Why one cron creates “unlimited” AI ideas: Once one operating loop is visible, every missing field, handoff, exception and decision appears. The second automation becomes obvious. Then the third. Eventually the UI becomes a map of work that already runs. Do not start by asking AI to operate your company forever. Ask it to help you encode one recurring process. -Run it in the terminal. -Schedule it. -Log it. -Review the edge cases. -Add the UI last. CRON JOBS ARE A GATEWAY TO REAL USE CASE AND LESS SPEND, THIS WILL HELP YOU 100X FASTER THAN LEARNING HOW TO DEPLOY CLOUD AGENTS TO DO 100 TASKS WITH A FRONTIER MODEL EATING YOUR POCKETS UP. Scripts > Tokens/Expensive Intelligence

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  Crypto Addict (@crypto_adictt) reported 14 minutes ago

  @staywithneo_ @NekyoNFT @teddi_speaks I use Gmail since tweet link not working

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  Brittany 🏳️‍🌈 (@MammothFanta) reported 15 minutes ago

  Hey @gmail not letting me permanently sort my e-mails by “Most Recent” and it default to “Most Relevant” is not okay. Who are you to deem what’s relevant? What’s relevant is the order in which they are received. I found an e-mail BURIED in bs and ads because of this. FIX IT.

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  Luke (@ldo_dev) reported 20 minutes ago

  A few days ago I said I'd started building Tern. There's a real inbox now. Sign in once and connect Gmail, Outlook, iCloud, or your own domain. Every message is labelled with the account it came from, so you always know where you are. Inbox, sent, drafts, archive. Same as always. AI stays off unless you turn it on. One login. All your accounts. One place. Still rough, but it's a product 👀 What's the first thing you'd check in a new email client?

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  ʟɪʟʏ🧀ラザニア (@lilyofthedusk) reported 23 minutes ago

  am I the only one having trouble with gmail on browser right now???