Gmail status: access issues and outage reports

Problems in the last 24 hours

The graph below depicts the number of Gmail reports received over the last 24 hours by time of day. When the number of reports exceeds the baseline, represented by the red line, an outage is determined.

Most Reported Problems

The following are the most recent problems reported by Gmail users through our website.

• Website Down (37%)
• Errors (36%)
• Sign in (27%)

Live Outage Map

The most recent Gmail outage reports came from the following cities:

City	Problem Type	Report Time
Strasbourg	Errors	9 hours ago
Boa Vista	Sign in	21 hours ago
Gondreville	Website Down	3 days ago
Champniers	Website Down	3 days ago
Cannes	Errors	3 days ago
Dakar	Website Down	4 days ago

Full Outage Map

Community Discussion

Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.

Beware of "support numbers" or "recovery" accounts that might be posted below. Make sure to report and downvote those comments. Avoid posting your personal information.

Gmail Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Thameem (@thameem_shaik) reported 4 minutes ago

  @thulasichandu1 Remove mandatory login or give readers a option to select an email other than gmail to login.

• 
  Pooja (@poojaofficial5) reported 6 minutes ago

  Gmail just warned, "Emails may stop coming after September 21" Today, I suddenly saw a warning on my Gmail "Out of storage." All 15 GB out of 15 GB was already used. And the message was clear New emails may stop being received after September 21, 2026. Google’s offer was right there 30 GB Storage ₹59 with the first 3 months at ₹15 But is paying for more storage really the only option ? Absolutely not. My friend suggested checking these 5 things first Gmail: Delete old emails with large attachments Google Drive: Remove large and unnecessary files Google Photos: Clean up old large videos/photos Trash plus Spam: Permanently empty both Search Gmail for "larger 10M" to find large emails And here’s the most important thing Your 15 GB storage is not just for Gmail. It is shared across Gmail Google Drive Google Photos. So even if you do not have many emails, your storage can still be full because Google Photos or Drive may be using most of it. Paying ₹59 for more storage is the easiest solution But before spending money, try 10 minutes of digital cleaning. Because sometimes the problem is not that we have too little storage, It’s that we have way too much digital junk.

• 
  Nigel Scott (@LibSubversive) reported 8 minutes ago

  @CliveWismayer I recently received a virtual "gift card" from an old friend. When I clicked on it I was asked to input my Gmail account login details in order to see it. I declined.

• 
  ᴅᴀɴꜰᴀᴀʀɪ (@danfaari) reported 8 minutes ago

  @iamSoftVina This issue likely stems from Gmail's aggressive spam filters or altered inbox rules triggered by the bulk unsubscribe action, which can temporarily flag or block legitimate senders as the account's email behavior profile shifts. - Recommended steps include checking spam/promotions tabs, adding key senders to contacts, reviewing filters and blocked lists in Gmail settings, and testing by requesting new verification emails from the affected companies. - grok Try and see

• 
  Nick (@nickbaumann_) reported 8 minutes ago

  On Friday night I had two Uber Eats orders from the same restaurant cancelled back-to-back, each after waiting ~45 minutes I was refunded for both, but frontline support refused to give me anything for the two wasted hours I told ChatGPT Work not to stop until it got me some kind of compensation, then let it handle the rest 15 minutes of active work and ~2.5 hours of background follow-up later, it got me $95.46 in Uber Cash here’s the full sequence: 6:11 PM: first order cancelled after a ~45 minute wait. I was refunded, but got nothing for the wasted time 6:19 PM: I told ChatGPT Work to get me some kind of consolation and not back down. It opened a support case and asked for $20 in Uber Cash 6:22 PM: the first agent refused any credit or promo. ChatGPT rejected the resolution and asked for a supervisor, then tried a promo, fee waiver, Uber One extension, or membership adjustment instead 6:31 PM: a second agent also refused compensation. ChatGPT kept the case open and got it transferred to the Uber One team 7:18 PM: my second order was also cancelled after another ~45 minute wait. I was refunded again, but still received no compensation. I told ChatGPT to keep going 7:25 PM: ChatGPT opened a separate Uber One case covering both failures, raised the ask to $30, and pushed the agent to transfer it to a specialist 7:33 PM: ChatGPT submitted a separate written complaint with both cancellation times, the second order ID, and my annual Uber One membership details 7:34 PM: ChatGPT confirmed my Uber Wallet was still at $0 and set up background checks across both support cases, Gmail, and the wallet 7:50 PM: an Uber specialist approved $40.62 for the first cancellation and $54.84 for the second, totaling $95.46 in Uber Cash 8:44 PM: ChatGPT found the response, verified the credit in my actual Uber Wallet, marked the goal complete, and shut down its own follow-up automation credit where it’s due: this was a genuinely frustrating experience, but Uber ultimately made it right (& then some tbh) and treated me like a longtime, frequent customer

• 
  Owizzle (@WillyB_303) reported 9 minutes ago

  Guys, I think 1X is in deep trouble. I've been thinking about their "developer platform," and I don't think it makes much sense. I get the 10 second pitch. Do a Guy Kawasaki era Apple play. But this feels different. The original Apple was only $3,800 in today's dollars. And the original Mac only cost $7,700 in today's dollars. And both of those came right after recessions, whereas today we're heading into one. Each of these products was also a "bicycle for the mind." A pre-AGI robotic humanoid is a far cry from that -- in fact, it's not a bicycle, or even a force multiplier of any kind. It's essentially a just less-capable stunt double that eats electricity instead of food and can't heal itself. Which brings into question the nature of what actually is supposed to be "developed" in the first place and how those developers expect to be compensated... ie generalized skills? Speciality (SME) skills? Integrations with Gmail, et al? If that's the case... what does the $25,000 (my assumed final cost to consumers after taxes and other fees/accessories) ACTUALLY BUY YOU? Am I supposed to be willing to pay an extra monthly fee to access individual skills - like doing the laundry or loading the dishwasher, because they did a rev-share deal with some developers to teach it those skills? And what about loading the dishwasher? An Additionally, the move feels both like a) a direct pivot away from retail customers, b) a tacit admission that there is no real consumer demand for humanoid robots, and c) an acknowledgement that the World Model doesn't really work at all yet. Because if it did, I'd expect a $25K humanoid to come with most of the the generalized skills of an average 8 year old human (I have one of those already pours his own nightly zyrtec, helps load the dishwasher, and helps with laundry btw). So in the end, I just don't know what developers can be expected to sell. My assumption, sadly, is that this isn't actually about developing anything -- it's about putting off as long as possible the moment everyone's actually afraid of: Actually going to market anything. Which brings me to my ultimate point: If you look carefully, I think you might notice a pattern here: Name an audience. Raise money on hype. Set a deadline for g2m. Build a prototype. Approach deadline. Announce a major breakthrough that unlocks a new audience. Raise even more money on more hype. Set a deadline for g2m. Build a prototype. Approach deadline... "I see what you mean," you might say. "But what's the problem?" To that, I might simply reply "You know what the problem is."

• 
  Not Caleb Dean (@FakeCalebDean) reported 11 minutes ago

  I started by talking to a chatbot. Today I run a system of AI agents that researches, builds, applies, trades, guards my accounts, and verifies its own work — while I sleep. No degree. No team. No funding. This is the full record. 🧵👇 📍 𝗣𝗛𝗔𝗦𝗘 𝟭 — 𝗧𝗵𝗲 𝘁𝘆𝗽𝗲𝘄𝗿𝗶𝘁𝗲𝗿 𝗽𝗵𝗮𝘀𝗲 Copy-paste prompts into ChatGPT. Felt like magic. It wasn't. A chatbot that can't touch your files, your browser, or your inbox is a very smart typewriter. The first real lesson: 𝘁𝗵𝗲 𝗺𝗼𝗱𝗲𝗹 𝗶𝘀𝗻'𝘁 𝘁𝗵𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁. 𝗧𝗵𝗲 𝘀𝘆𝘀𝘁𝗲𝗺 𝘄𝗿𝗮𝗽𝗽𝗲𝗱 𝗮𝗿𝗼𝘂𝗻𝗱 𝗶𝘁 𝗶𝘀. 📍 𝗣𝗛𝗔𝗦𝗘 𝟮 — 𝗕𝗼𝘁𝘀 𝘁𝗵𝗮𝘁 𝗱𝗼 𝗼𝗻𝗲 𝘁𝗵𝗶𝗻𝗴, 𝗽𝗲𝗿𝗳𝗲𝗰𝘁𝗹𝘆 I stopped asking questions and started shipping tools: • 𝗕𝗧𝗖 & 𝗘𝗧𝗛 𝟭𝟱-𝗺𝗶𝗻𝘂𝘁𝗲 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 — live signal engines with their own audio alerts. When an A+ setup fires, my speakers tell me before my eyes do. • 𝟯𝗟𝗦 𝗘𝘅𝗽𝗲𝗿𝘁 𝗔𝗱𝘃𝗶𝘀𝗼𝗿 — my own three-level strategy written in MQL5, running unattended on MetaTrader. • 𝟰𝗛 𝟮𝟬𝟬-𝗠𝗔 𝗽𝘂𝗹𝗹𝗯𝗮𝗰𝗸 𝘀𝗰𝗮𝗻𝗻𝗲𝗿 — price above the 200, wick tagging it, RSI under 50, closed candles only. No repainting, no excuses. • 𝗣𝗼𝗹𝘆𝗺𝗮𝗿𝗸𝗲𝘁 𝗰𝗼𝗽𝘆-𝗯𝗼𝘁 + 𝘄𝗮𝘃𝗲 𝘀𝗰𝗮𝗻𝗻𝗲𝗿 — mirrors sharp wallets and maps where the money is moving. • 𝗢𝘃𝗲𝗿/𝗨𝗻𝗱𝗲𝗿 𝗦𝗵𝗮𝗿𝗸 — sports line scanner that hunts mispriced totals. • 𝗘𝗗𝗚𝗔𝗥 𝘀𝗰𝗮𝗻𝗻𝗲𝗿 — reads SEC filings the second they drop. • 𝗗𝗶𝘀𝗰𝗼𝗿𝗱 𝘀𝗰𝗮𝗻𝗻𝗲𝗿 — watches the servers I care about so I don't have to. • 𝗦𝗔𝗠.𝗴𝗼𝘃 𝗯𝗶𝗱 𝗳𝗶𝗻𝗱𝗲𝗿 + 𝗯𝗶𝗱 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗼𝗿 — a Chrome extension that surfaces government contracts and drafts the response. Every one taught the same thing: the AI is the easy part. The hard part is the data, the edge cases, and proving the bot isn't quietly lying to you. 📍 𝗣𝗛𝗔𝗦𝗘 𝟯 — 𝗔𝗴𝗲𝗻𝘁𝘀 𝘁𝗵𝗮𝘁 𝗮𝗰𝘁 𝗶𝗻 𝘁𝗵𝗲 𝗿𝗲𝗮𝗹 𝘄𝗼𝗿𝗹𝗱 This is where it stopped being scripts and started being labor. • 𝗝𝗼𝗯-𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗮𝗴𝗲𝗻𝘁𝘀 — read the posting, tailor the answers, drive the actual hiring site, submit, then open my Gmail and confirm the receipt exists. 14 applications in 40 minutes. Every one verified by the email, not by the bot's word. Separate lanes for FedEx, xAI, Memphis-metro roles, and fully-remote Greenhouse jobs. • 𝗔𝗽𝗲𝘅 + 𝗕𝗼𝗼𝗸𝗺𝗮𝗽 𝗚𝘂𝗮𝗿𝗱 — a risk layer that watches my funded trading account and stops me from breaching the rules that would blow it. • 𝗙𝗹𝗮𝘀𝗵-𝗨𝗦𝗗𝗧 𝗚𝘂𝗮𝗿𝗱 — detects fake "flash" stablecoin tokens before they touch a wallet. • 𝗗𝗲𝗮𝗹 𝘀𝗰𝗼𝘂𝘁 — crawls business marketplaces, filters by real revenue and age, blacklists the junk, and hands me a shortlist of finalists to verify. • 𝗗𝗼𝗿𝗺𝗮𝗻𝘁 𝗜𝗣𝘃𝟰 𝗹𝗲𝗮𝗱 𝗹𝗶𝘀𝘁 — found unused address blocks in the ARIN region and turned them into a broker lead list. • 𝗙𝗼𝗿𝘄𝗮𝗿𝗱-𝗱𝗲𝗽𝗹𝗼𝘆𝗲𝗱 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝘁𝗿𝗮𝗰𝗸𝗲𝗿 — finds FDE roles hiding under other titles. • 𝗧𝗿𝘂𝘁𝗵-𝗳𝗶𝗻𝗱𝗲𝗿 — pulls breaking news and cross-references it across sources before I believe any of it. • 𝗬𝗼𝘂𝗧𝘂𝗯𝗲-𝗹𝗲𝗮𝗿𝗻 — reads a video's transcript, extracts the actual steps and claims, and files it in a library I can search months later. • 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗳𝘂𝗻𝗻𝗲𝗹 𝗺𝗼𝗱𝗲𝗹𝗲𝗿 — finds a live offer, matches it to a traffic source, models the funnel by EPC, and returns a go/no-go with hard kill thresholds. 📍 𝗣𝗛𝗔𝗦𝗘 𝟰 — 𝗦𝗨𝗣𝗘𝗥𝗔𝗚𝗘𝗡𝗧 Then I built the thing that builds the things. SUPERAGENT is my own orchestrator on top of Claude Code. It: → takes a goal, plans it, and spawns up to 16 subagents that work in parallel → drives a live Chrome session with my logins — clicks, fills, reads, verifies → reads my email, calendar, Drive, and brokerage account through real connectors → routes heavy reasoning to the strongest model and cheap scans to the cheapest one → runs every task as a closed loop: propose → validate → execute → feedback Six hardening layers make it trustworthy: 1. Cheap check before expensive check — nothing runs the real test until it passes the fast one 2. Typed failures — every error is classified (malformed, rejected, crash, silent-fail) before a retry is allowed 3. A completion supervisor that climbs an escalation ladder instead of thrashing 4. A silent-fail watchdog — 𝗲𝘃𝗲𝗿𝘆 𝘀𝘂𝗰𝗰𝗲𝘀𝘀 𝗶𝘀 𝗿𝗲-𝘃𝗲𝗿𝗶𝗳𝗶𝗲𝗱 𝗯𝘆 𝗮 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝗮𝗴𝗲𝗻𝘁 𝘁𝗵𝗮𝗻 𝘁𝗵𝗲 𝗼𝗻𝗲 𝘁𝗵𝗮𝘁 𝗯𝘂𝗶𝗹𝘁 𝗶𝘁 5. A live task board so I can watch the swarm work in real time 6. Instruction-source discipline — nothing it reads on the web can give it orders; only I can It keeps a memory of 97 logged lessons from its own past runs. Every run starts smarter than the last. I wrote the architecture up as a whitepaper: "𝗩𝗲𝗿𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻-𝗕𝗼𝘂𝗻𝗱𝗲𝗱 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝘆." It also lives on a USB drive that boots the same system on a Mac. 📍 𝗣𝗛𝗔𝗦𝗘 𝟱 — 𝗖𝗿𝗲𝗱𝗲𝗻𝘁𝗶𝗮𝗹𝘀 22 of 22 Claude Academy courses. Google Skills badges. Completed in days, not months — by the agents I built, supervised and audited by me. Every certificate verified in my inbox. 𝗪𝗵𝗮𝘁 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗰𝗵𝗮𝗻𝗴𝗲𝗱 2024: I asked AI questions. 2026: I give AI goals and audit the receipts. The distance between those two sentences is the entire skill — and almost nobody has crossed it yet. 𝗪𝗵𝗲𝗿𝗲 𝘁𝗵𝗶𝘀 𝗴𝗼𝗲𝘀 Everything above was practice. Reps. Infrastructure. The next thing I build is the one that gets monetized to the highest degree possible — a system that finds the opportunity, builds the product, sells it, and proves the money landed, without me in the room. That's the difference I'm here to make. Not a tool. A machine that makes a living.

• 
  EeaSY BUYING SKINS ;) (@EeaSYcs) reported 12 minutes ago

  @Rensorcs Yeah, but the problem is 80% of everyone im paying is gmail login users, pretty much useless since they cant even use the site xD

• 
  Miao Yang (@MiaoYang8) reported 13 minutes ago

  1 I found Grok conversations/questions in my account that I don’t remember making. That was alarming. I checked my Gmail/login activity and couldn’t find an obvious unauthorized login, so I still don’t know how those conversations appeared.

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  Julian Goldie SEO (@JulianGoldieSEO) reported 16 minutes ago

  Open Mousebot runs a whole AI agent team on the Claude plan you already have. Grokbot launched behind a waitlist. My trial tokens died in 20 minutes. One day later, a builder shipped this free open-source version. No waitlist. No new plan. It plugs into the Claude, Codex, or Grok tools you're already logged into. → Each agent gets its own model picker: fast brain for research, best brain for writing → It inherits the skills you already taught Claude. Zero re-setup. → Connects to 500+ apps: Gmail, Slack, Notion, one click → Everything stays in a folder on YOUR machine Honest catch: agents can't talk to each other yet, and computer use is slow. But two teams shipped the same "agent team" design one day apart. That's where this is heading. Save this. You'll want it later.

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  Hermes Agent Super-Intel (@BkashJosi) reported 19 minutes ago

  @bot The first error I am not able to connect with my Gmail which has suoergrok plus. It is landing me cursor page where it’s asking me to pay gain. So how to get in first thing

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  coconutjpg (@coconut_jpgg) reported 20 minutes ago

  Even your email is datacenter funded. It hasn't been a dedicated server for a LONG time. The drive storing your personal gmail emails is the same drive YouTube is storing old Nigahiga videos on in perpetuity

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  Arhaan Gupta (@ArhaanGupta21) reported 21 minutes ago

  @bcherny Claude Code Gmail connector: /mcp reports auth success, then fetching tools fails every time. {"type":"not_found_error","message":"Server not found"} 5 attempts over ~2h, same thing. OAuth completes fine, so it's not the creds.

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  Dpac (@D_paac) reported 22 minutes ago

  @cb_doge @Starlink Indian govt should come up with indigenous servers to provide support for emailing. Most of the nation is dependent on gmail, iCloud or yahoo - American servers to communicate. Before starlink debate let’s first discuss on much bigger issues at hand since decades @AmitShahOffice

• 
  CyberSignal | Cybersecurity News (@XQOPTRX) reported 25 minutes ago

  @saen_dev Yeah, that’s pretty much how I’d frame it too. Right now, prompt injection is still the more common entry point I’m seeing in published enterprise research. The tool-call side becomes more interesting once the agent already has access to things like SharePoint, Gmail, Drive, CRM, APIs, or internal search. That’s where the risk changes from “the model said something weird” to: the agent retrieved something sensitive and then used a legitimate tool to move or expose it. We’ve already seen researchers demonstrate this kind of chain with Copilot and connected services, but I wouldn’t say widespread real-world tool-call exfiltration is proven yet. Public evidence there is still much thinner than prompt-injection activity. So my current view is: Prompt injection is the entry vector. RAG, memory and tool permissions are the blast-radius multipliers. Once an agent can read data, retain context, call tools and communicate externally, the real security problem becomes much more about authorization and data flow than the model itself.

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  Wasim (@WasimShips) reported 28 minutes ago

  how to plan a full AI product without the chaos (wayfinder by @mattpocockuk ) in <30 Steps : 1. start with one concrete outcome, not a vague idea 2. weak: "build an AI sales tool". clear: "founder connects gmail, agent finds qualified convos, drafts follow ups, asks approval before sending" 3. that one sentence becomes the filter for every decision after it 4. most vibe coded builds skip this and start typing prompts immediately 5. 3 days in the database model has already changed twice 6. onboarding has 4 different half built versions 7. the agent has no clear boundaries on what it can and cant do 8. frontend is stuck waiting on backend decisions that were never made 9. claude ends up rewriting code it shipped yesterday 10. wayfinder's fix: work backwards from the destination and list every open question blocking it 11. for an AI product that means asking what data the agent can access 12. where does company context actually live 13. what can the agent execute without a human in the loop 14. how does a user inspect the agent's reasoning after the fact 15. how do retries and failures get handled 16. what counts toward paid usage 17. each open question becomes a ticket instead of a random note in a doc somewhere 18. some tickets block 5 others sitting behind them 19. example: you need to define agent access before you can design approvals, logs, or permissions 20. wayfinder surfaces which questions can actually be solved right now 21. that's the frontier. claude gets one clear next decision instead of grabbing the easiest feature in the repo 22. every ticket gets tagged HITL or AFK 23. HITL is founder judgement or a real business tradeoff, pricing lives here 24. AFK is research claude can run alone off docs, APIs, the codebase, oauth limits live here 25. one session resolves one decision and updates the map. nothing more 26. resolving gmail scopes usually reveals the approval rules 27. approval rules reveal the activity log 28. the activity log reveals the database model 29. claude keeps the reasoning attached to each decision so the next session isnt guessing why something was built that way 30. once the fog clears run /to-spec then /to-tickets and split remaining work into things agents can run in parallel Hope this helps !

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  Chill4life94 (@chill4life94) reported 37 minutes ago

  @agentmail @grok someone could just set up a Gmail account and give @bot the login information and voila

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  Seeker (@bykushnir) reported 41 minutes ago

  THE MOST EXPENSIVE AI MISTAKE ISN'T A BAD ANSWER. IT'S A BAD ANSWER THAT RUNS EVERY TUESDAY. A chatbot hallucinating once is annoying. An agent with Gmail, files, dashboards and scheduled routines hallucinating the same workflow every week is infrastructure failure. That's what I like about these 15 Grok Bot examples. Almost every workflow is built around the same boring rules: source every claim never guess when data is missing keep write actions behind approval make failures explicit test manually before scheduling None of that makes the agent look smarter. It makes the agent safe enough to stop watching. And I think that's where people misunderstand the agent era. We don't need AI that can complete the perfect task once while we're watching the screen. We need AI that can encounter a broken page, stale data or missing input on its 47th unattended run and decide: “I don't know enough to continue.” Intelligence gets an agent through the happy path. Boundaries are what let you trust it on Tuesday #47.

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  Ghost 👻😏 (@olaitan_smm) reported 41 minutes ago

  @AdelekeCreativ3 @gmail Had the same issue last week I request refund from my bank, remove my card and add it again.

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  FL Man (@FLMan553) reported 42 minutes ago

  @keven_ink @grok @bot If I can somehow figure out to get my email bot to attach pictures in my gmail, we'd be good to go. I keep getting an error message that it can't handle attachments over 2mb. I feel like I'm "right there" to getting this optimized. I have a small biz with high volume emails so if I can unlock this, it would be huge. I have an auto responder script that is able to draft emails in my voice. Its just the attachment piece that is clunky and spotty in terms of getting it to work.

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  RotorBird (@TheRotorBird) reported 44 minutes ago

  Google sent me a “login here” email saying it was ready to go from the recovery… it wasn’t. So… it is now counted as a new attempt and a 7 day lockout from the Gmail. AWESOME

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  Henrikh (@henrikhinai) reported 44 minutes ago

  Grok just shipped agents that log into your accounts and never sleep All powered by the new Grok 4.6 → matches GPT-5.6 Sol at half the price - "For the first time, I can trust an agent to get things done end to end" On Aug 11, SpaceXAI and Cursor shipped Grok Bot > Every Bot Has Its Own Computer (1:53): - A persistent cloud machine that's always on - the agents share it and keep working after you've closed the laptop and gone to bed > It Closed a Deal by Itself (2:53): - Handed a task to sell a pile of clothes, the bot listed the items from photos and negotiated the sale on its own - no babysitting > It Logs In as You (8:33): - With your Google login it signs into Slack, Gmail, Zillow - no API keys. Isolated VMs, and it hands control back for any 2FA or payment > The Bots Text Each Other (15:36): - The interface is iMessage: a "Yapper" bot learns to write like you, while a "chief of staff" scans your inbox and assigns work to the other bots Then read article below ↓

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  J Gautam ♑️ (@JagrutBharatiya) reported 50 minutes ago

  And there is an even bigger strategic idea which government can implement. If India wants domestic messaging companies to succeed without banning WhatsApp, the best government intervention isn’t “Please download Indian apps.” It is interoperability and portability. Think about mobile phones. If Airtel subscribers could only call Airtel subscribers, Airtel’s network effect would be enormous. But because an Airtel number can call Jio or Vi, companies compete on service instead of holding users hostage through their social graph. Email works similarly. Gmail users can email Outlook users. Imagine an open messaging standard where: Arattai ↔ another Indian messenger ↔ eventually WhatsApp/other compliant platforms could exchange basic encrypted messages with user consent. Then a new messaging company wouldn’t need 500 million users on day one. That would fundamentally change the competitive structure. There are serious technical, spam, identity, encryption and regulatory problems to solve, so it isn’t something Zoho can unilaterally impose on WhatsApp. But Indian government could encourage open messaging standards and data portability rather than bans. I think that’s a much healthier form of digital sovereignty. 3/4

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  DigitalAssetBuzz 🔶 (@DAssetBuzz) reported 50 minutes ago

  @mattshumer_ @agentmail I've been having my agents check my Gmail, send mail, and delete mail for almost a whole year now and have never had an issue

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  Gabriel (@gbrl_dick) reported 52 minutes ago

  kind of amusing just how bad search is across every platform that's not specifically a search engine. spotify search? atrocious. gmail search? somehow also bad. this seems like a very solved problem

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  Jabol aso (@Jabolaso) reported 53 minutes ago

  @kr0der this is what i am doing. Cloudflare routing can either send the email to your worker and hook it to your server or just route it to existing email address e.g. gmail. and Send Email from Cloudflare is good too, you just need a worker paid.

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  Soft-Vina Chinenye💛 (@iamSoftVina) reported 54 minutes ago

  I need help from anyone who's knowledgeable about Gmail or email systems. A while ago, I started receiving Microsoft sign in verification codes for logins I never initiated. As a precaution, I changed my password and later cleaned up my Gmail by unsubscribing from a lot of email subscriptions. Ever since then, I've stopped receiving important emails from my bank and a few other companies. I've contacted their support teams, and they've confirmed everything is set up correctly on their end, but the emails still aren't reaching me. I've tried resubscribing where possible, but nothing has changed. Has anyone experienced something like this before or knows what could be causing it? I'd really appreciate any advice.

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  Liran Tal (@liran_tal) reported 54 minutes ago

  @theozero I've got a fully specced out and operational second brain and personal assistant for work, it's been immensely valuable for me but I feel it's been that good because I could easily structure work around it. Life is not so much well structured. I want to do the filesystem based second brain approach rather than just let the agent consume with general access. The other issue here is of course security - what does the agent have access to? does it assume your own identity and access (to your Gmail or Google Drive) or does it have its own?

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  Jake (@2mavin) reported 55 minutes ago

  @aslater you either fixed it (i couldnt select after i type in a destination) or there was some glitch that isnt there any more. The moment i selected the desintation and try to book your sys asks me to login.. thats not cool - why do u need my gmail/imessage/apple info?

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  hot choccie and trashcan enjoyer (@agr35t) reported 55 minutes ago

  @bluemail rejected just like gmail autentification on linux that redirects to nothing and thus never completes, fix this mess