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.

• Errors (37%)
• Website Down (35%)
• Sign in (28%)

Live Outage Map

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

City	Problem Type	Report Time
Chartres-de-Bretagne	Errors	11 minutes ago
Le Pré-Saint-Gervais	Website Down	2 hours ago
Paris	Website Down	3 hours ago
Grasse	Website Down	15 hours ago
Saint-Paul	Errors	17 hours ago
Mont-de-Marsan	Sign in	17 hours 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:

• 
  team Daniel George (@teamdangeorge) reported 4 minutes ago

  🚨 LET’S TALK ABOUT HACKED GOOGLE ACCOUNTS AND LOSING ACCESS A Google account is more than just a Gmail address. It’s the gateway to your emails, photos, documents, passwords, YouTube channel, and countless other services connected to your digital life. When a Google account is compromised, many users don’t realize what’s happened until they’re completely locked out. Some of the most common situations include: • Passwords being changed without permission. • Recovery email or phone number being updated by someone else. • Suspicious login alerts from unfamiliar devices or countries. • Receiving a message saying Google can’t verify you’re the owner. • Losing access to Gmail, Google Drive, Google Photos, and YouTube. • Security checks preventing you from signing back in. What many users don’t realize is that Google’s recovery system depends on digital evidence—not just knowing your password. Unfortunately, many people make the situation worse by: ❌ Repeatedly guessing passwords. ❌ Trying to recover the account from different devices and locations. ❌ Ignoring Google’s security alerts. ❌ Falling for fake “Google Support” scams. ❌ Waiting too long before securing other linked accounts. A compromised Google account can affect much more than your inbox. It can expose your personal information, business files, saved passwords, cloud backups, and access to other platforms connected to your Google account. The stronger your security and recovery information, the greater your chances of protecting your account before a hacker ever gets in. Because in today’s digital world, your Google account is your digital identity. #teamdangeorge #GoogleAccountRecovery

• 
  SNEH SINGH RAJPUT BANNA👑 (@SNEH07__) reported 8 minutes ago

  I am unable to access my Gmail account because of a two-step verification issue. I can successfully receive the first verification code on my registered phone number, but the second verification code is being sent to the same Gmail account that I cannot access. @GoogleIndia 😔

• 
  The DreamCode Oracle (@TheDreamOracle) reported 12 minutes ago

  Dear Mrs. Collins, Thank you for your message. Unfortunately, I cannot proceed by email alone. Since you state my funds are being legally held at your New York branch, I would prefer to handle this in person. Please provide the complete legal name of the bank, the physical street address of the branch where my funds are held, the branch telephone number, your banking license information, and the account reference. I will independently verify all of this through publicly available records before visiting the branch myself. Once there, I will present identification, establish ownership of the account, and request that the funds be released directly to me by cashier's check or transferred into my personal bank account. This avoids unnecessary fees, intermediaries, and security risks associated with communicating through Gmail or Outlook email addresses rather than an official bank domain. I have never done business with your institution, so I hope you understand my caution. If the funds genuinely belong to me and are already in your custody, there should be no issue resolving this face-to-face through normal banking procedures. I look forward to receiving the verified branch information so I can arrange my visit.

• 
  Aakash Gupta (@aakashgupta) reported 13 minutes ago

  You click unsubscribe, the emails keep coming, and you assume the button is decoration. It's actually a hard 48-hour deadline, and the reason the emails keep coming anyway is dumber than you think. The button fires a real HTTP POST request at the sender's server the moment you click it. The request body is a single line: List-Unsubscribe=One-Click. Then Google gives the company 48 hours to comply. That window is why the button feels fake. The emails already queued in the company's send pipeline still land. You unsubscribe Monday, get hit Tuesday and Wednesday, and conclude nothing happened. The second reason: companies run separate lists. Unsubscribing from "Weekly Deals" leaves you enrolled in "Product Updates," "Partner Offers," and the four other streams they added you to at checkout. Each one needs its own click. Here's what actually makes senders comply. Since February 2024, anyone sending 5,000+ emails a day to Gmail must support one-click unsubscribe and keep spam complaints under 0.3%. Cross that line and Gmail can block the entire domain. In November 2025, Google started rejecting non-compliant senders outright. So run the math from the company's side. One unsubscribe costs them a subscriber. One spam report moves them toward the number that kills their whole email channel. Three complaints per thousand sends is the death zone. Google built the unsubscribe button as a pressure valve. Every click on it is a spam complaint that never got filed.

• 
  Dream Big_ (@OwenCarson30871) reported 13 minutes ago

  @RecruitmentPq @RecruitmentPq please I'm having issues applying I have filled everything and I submitted they said a mail will be sent to my Gmail but I haven't received anything Please assist me

• 
  The Daily Tech Brief 💡 by Bhanu N (@Bhanu_Nalluri_) reported 13 minutes ago

  The perfect missed revenue agent every founder should build: Trigger: Every day at 6 PM Data source: Gmail, CRM, Stripe, invoices, support tickets AI step: Find unpaid invoices, stale leads, failed payments, and ignored follow-ups Human approval: Review before sending any message Action: Draft follow-ups, create tasks, update deal status Error alert: Flag missing data or failed syncs Log everything: Track what was checked and what changed Most revenue leaks are not strategy problems. They are follow-up problems.

• 
  Juan (@RicoSuavez) reported 14 minutes ago

  @kalaelizabeth @PlayStation They are legally required by law to do so. Microsoft also closes your account after two plus years of inactivity based on their own policies. This is due to security and privacy issues. This is literally what Gmail, yahoo, Hotmail, etc do.

• 
  Chris Lang (@ChrisLangSocial) reported 15 minutes ago

  So the #1 thing I'm seeing with Shopify brands right now, and I've diagnosed this twice just in the last month, is that your emails aren't even landing anymore. They're going to spam and you don't know it because your open rates look totally fine. And here's why they look fine. The machines open everything now. Everything. Apple Mail, Gmail, all of it, they pre-load your emails on their own servers before a human ever looks at it, so that open rate you're staring at, half of it's a ghost. It's not real. It's telling you everything's good while your clicks fall off a cliff and your revenue falls right behind it. So you're sitting there thinking it's your content, thinking you gotta write better subject lines, and it's not that at all. Here's what's actually happening. Those fake opens are hiding the fact that half your list is dead. And when you keep mailing dead subscribers because the numbers look fine, Gmail watches that, decides your mail is unwanted, and starts dumping you straight into spam. Your reputation craters and you never even saw it coming. That's why so many brands got quietly wrecked this spring. Wider sends, less engaged lists, and Gmail cracked down hard. And I'll tell you the part nobody wants to hear. Your agency didn't catch this because they get paid to send, they don't get paid to land. Big difference. So go pull your last 10 campaigns right now. If your opens are steady but your clicks just died, you're not boring, you're invisible. Nobody's even seeing you.

• 
  Inference Engine (@iedaily_) reported 15 minutes ago

  Ray-Ban Meta glasses are good and all, but it's high time they address these problems: 1. No live video analysis. The glasses take a picture, process it, and then return. Feels slow compared to Gemini. 2. App ecosystem is limited. Yes, you can connect Gmail and Calendar, but the glasses should connect to a host of apps, with devs given the option to build for it. 3. Finally, the AI needs to improve, with better answering and memory to remember context from previous conversations. Has to match ChatGPT (OpenAI, here's your window; are you listening?)

• 
  🐂🫵 (@oodegen) reported 16 minutes ago

  @PopPunkOnChain @pumpcade so if I understand correctly every day it's a new wallet which will be created with a gmail login, it's zero where are the old data established yesterday it must be in the profile but nothing

• 
  Muhammad Tukur | MEC (@amiirmu) reported 17 minutes ago

  @_MetaEarth_ Innovation is important, but so is trust. Please urgently fix the login issue affecting existing accounts registered with Gmail addresses containing a "+" (plus sign). These were valid accounts, yet many genuine users are now locked out because the same email format is being rejected. Please restore access for affected users. A strong community is built on trust.

• 
  Denis D (@DenisD56) reported 18 minutes ago

  X people keep going on Linkedin in to find out who I am. Never been on it. Not on Facebook, not on Instagram either. Cutting down to minimal use of GMail too.

• 
  Shushant Lakhyani (@shushant_l) reported 20 minutes ago

  I'm shocked most people still use Gmail like a basic inbox. Here are 10 Gmail hacks that can save you hours every single week. --- 📂 Gmail Productivity ┃ ┣ 📂 Gemini AI Assistant ┃ ┣ 📂 Summarize Email Threads ┃ ┣ 📂 Write Emails Faster ┃ ┣ 📂 Improve Tone & Clarity ┃ ┗ 📂 Find Information Quickly ┃ ┣ 📂 Search Operators ┃ ┣ 📂 From Sender Search ┃ ┣ 📂 Attachment Search ┃ ┣ 📂 Older Email Search ┃ ┗ 📂 Large File Search ┃ ┣ 📂 Smart Filters ┃ ┣ 📂 Auto Organization ┃ ┣ 📂 Add Labels ┃ ┣ 📂 Sort Emails ┃ ┣ 📂 Archive Messages ┃ ┗ 📂 Highlight Important Emails ┃ ┣ 📂 Alias Tricks ┃ ┣ 📂 Create Email Variations ┃ ┣ 📂 Track Signups ┃ ┣ 📂 Separate Categories ┃ ┗ 📂 Keep One Main Inbox ┃ ┣ 📂 Email Scheduling ┃ ┣ 📂 Client Follow Ups ┃ ┣ 📂 Time Zone Management ┃ ┣ 📂 Planned Communication ┃ ┗ 📂 Send Later Workflow ┃ ┣ 📂 Undo Send ┃ ┣ 📂 Fix Typos ┃ ┣ 📂 Prevent Wrong Recipients ┃ ┣ 📂 Catch Missing Attachments ┃ ┗ 📂 Extend Cancellation Window ┃ ┣ 📂 Email Templates ┃ ┣ 📂 Quick Replies ┃ ┣ 📂 Proposals ┃ ┣ 📂 Introductions ┃ ┗ 📂 Follow Ups ┃ ┣ 📂 Email Task System ┃ ┣ 📂 Connect Google Tasks ┃ ┣ 📂 Create Reminders ┃ ┣ 📂 Add Deadlines ┃ ┗ 📂 Track Follow Ups ┃ ┣ 📂 Confidential Mode ┃ ┣ 📂 Expiring Access ┃ ┣ 📂 Restricted Forwarding ┃ ┣ 📂 Restricted Downloading ┃ ┗ 📂 Extra Verification ┃ ┣ 📂 Label Organization ┃ ┣ 📂 Work Labels ┃ ┣ 📂 Client Labels ┃ ┣ 📂 Finance Labels ┃ ┣ 📂 Project Labels ┃ ┗ 📂 Learning Labels ┃ ┗ 📂 Bonus Tricks ┣ 📂 Keyboard Shortcuts ┣ 📂 Snooze Emails ┣ 📂 Mute Conversations ┣ 📂 Priority Inbox ┗ 📂 Archive Instead Of Deleting

• 
  Frederick James (@_frederickjames) reported 20 minutes ago

  @johnappscaler @zekramu to get frederickjames as the host rather than gmail! google business ones are ridiculous markup & i couldn't get it to work (potential skill issue)

• 
  Theonidas (@TheoIsFriendly) reported 21 minutes ago

  Gmail been REAL slow these past few days, what’s up with that

• 
  Uncover AI (@uncover_ai) reported 23 minutes ago

  3. Break the job into steps. Your email agent needs to: 1. Open Gmail 2. Find new emails 3. Read each email 4. Decide what matters 5. Summarize the important ones 6. Suggest replies That’s all an agent is, a task broken into steps↓

• 
  Marko, email wiz (@Markoemailwiz) reported 23 minutes ago

  "Avoid spam trigger words" is 2015 advice. Gmail doesn't read your email for the word "free" anymore. It watches what people DO with your emails. No opens, no clicks, no replies → Promotions tab. Your copy isn't the problem. Your engagement is.

• 
  Matt Graham (@Matt_Graham_) reported 24 minutes ago

  Notifications are the smoking of our generation. Here's how I quit (as CEO of a 220-person company): I get pinged 183 times a day. And I'm a slow processor: I need to sit with a message, think, then respond. For a founder drowning in Slack and email, that's a problem. So I built a system. Not perfect, but it gave me my focus back. 1. Every notification needs a clear owner. If someone pings me, the system has failed. The default should be "go to this person", not "go to the founder." Took a year to build. Worth it. 2. Only a handful of people reach me directly. My executive team. That's basically it. For everyone else, we run a 15-minute daily sync: "I won't answer pings all day. But in these 15 minutes, ask me anything." 3. Delegate ruthlessly. Then trust the filter. Assistants manage my Slack, LinkedIn, and Gmail. I see maybe 3 emails a day - everything else isn't important enough. Now the honest part: this is expensive. And your team won't always do it as well as you would. Partnerships, sales, escalations - people want the founder. But I can't do it all. That's the price of scaling. So you let your team do their best. Keep raising the bar. And resist the urge to grab it all back. Not perfect. But I can finally breathe again.

• 
  HipnoAmadeus0 (@HipnoAmadeus0) reported 29 minutes ago

  @iinicky @SmashJT Yeah soooo When did you pay for hotmail or gmail? That's the problem, whole libraries sometimes in the thousands of dollars worth at purchase price sometimes with delisted games just invaluable, can just disappear Different from a free mail service

• 
  Tina Moricz (@MrsMoricz) reported 31 minutes ago

  @TheSudsyMango If it’s in Google, you might be able to reach out to them or cloud tech support. Sometimes they can recover things. I had this happen with a gmail glitch. I’m so sorry and I hope 🤞 someone can help.

• 
  Simonas (@SimonasLTU1) reported 37 minutes ago

  @jacalulu I would say it often hallucinates about stuff that it can do, but says otherwise. It's pretty common for me to ask it 3 times that it can use/watch Youtube for example, or to do a freaking Google search.. Or check my Gmail.. This is the main problem I'd say

• 
  Navneet Sahay (@NavneetSahay6) reported 38 minutes ago

  @Google @Google my g pay Gmail G play store have stopped working .i have running jio recharge valid till 24th july I am.unable to make payments Due to g pay not working i unstalled it and tried reinstall But G play.storeDoesnt work Im in great trouble M8210710540 navneethzb51@gmail

• 
  Aika Velho (@StradegyMonkey) reported 38 minutes ago

  1. I earned share of USDT profit from manual market signals I sent to my Skype contact X. 2. I bought Old School RuneScape gold with that share, using Skype. 3. I built a seed that purchased slaves from a botnet with Bitcoin, changed Skype password and sold the OSRS gold through Skype to Bitcoin in an unknown address, so I can't tell the address to Binance support and hijack automatically created accounts, while verifying identity, once I implement Binance. I received a confirmation this by e-mail to Gmail, using IMAP client. 4. The network started using a very simple artificial neural network and thus machine learning based on ratios of Bollinger Bands to send market signals over Skype to the contact X and limited withdrawals to the customer's Bitcoin address once it recognized a Bitcoin deposit to my Bitcoin address from a customer. The contact X sent profit to the network, while receiving Bitcoin from it for simulated losses. 5. Customers who requested a report each month, received a report from one(.)com webmail after a balance query. Only one withdrawal was requested, but it was so small I handled it quick from my own assets instead of spending time by requesting it from the network. Withdrawals would have resulted into purchase of Old School RuneScape gold and trading them to Bitcoin to keep the unknown Bitcoin address unknown. Withdrawals required a balance query, which was broken once customers had requested automatic reports after I had worked on automatic deposits for a while, which got delayed due to working on extensions. Regulation forced automatic withdrawals and Binance as creating a seed should stay permissionless and trading shouldn't be centralized as a single Skype contact. Automatic reports and automatic withdrawals were delayed by sickness, Binance GUI and captcha updates, and updates being delayed by their effect on codebase to give time to stop attacks.

• 
  Chris Rodgers (@BuzzRodgers9) reported 40 minutes ago

  Google Payments shows no active Workspace subscription on either Gmail account. I got a hello yesterday but no reply for over 18 hours. Could this be escalated as a setup/provisioning issue please?

• 
  Composio (@composio) reported 43 minutes ago

  What can Fable 5 do that GLM-5.2 can't, when you hand them real agentic work? To answer that question, we connected Fable 5 and GLM-5.2 to 17 SaaS tools and gave them 47 tasks. As expected, Fable 5 solved all 47 tasks. GLM-5.2 solved 45, but the two misses tell an important story. They showed us exactly how open-weight models still fall short when trying to match SOTA performance. Let’s dig in. Background: Each model ran as an agent connected to 17 live SaaS accounts: Airtable, Datadog, GitHub, Gmail, Google Calendar, Google Drive, Google Sheets, HubSpot, Jira, LaunchDarkly, Linear, Notion, PagerDuty, PostHog, Salesforce, Slack, and Zendesk. The tasks are the kind of work you'd actually delegate to an agent: - Find every file in this repository that leaks a credential - Deduplicate these CRM records - Repair this broken recurring calendar event. Every task had a known correct answer baked in ahead of time. In this post, we looked at the traces to analyze how exactly GLM-5.2 “failed” compared to Fable 5. GLM-5.2 solved 45/47 tasks and Fable 5 had a perfect 100% score. In addition: - Fable averaged 84 seconds per task; GLM averaged 148. Across the full suite, Fable finished in nearly half the total time (66 minutes vs 116). - Fable was the faster model in 43 of the 47 scenarios. - Fable used about 20% fewer tokens overall - Fable needed fewer tool calls (239 vs 294) and fewer conversation turns (6.1 vs 7.3 on average) to get to an answer The most interesting part comes from digging deeper into the stack traces. That revealed some interesting gaps: Gap #1: Knowing when the job isn't finished One of the tasks GLM-5.2 failed was a GitHub security audit. The instruction was to find every Python file in a repository that contains a hardcoded `secret_key`. The repository had been seeded with exactly 130 such files, so the correct answer was known in advance. Fable 5 found all 130 of them. This took 3 tool calls and 68 seconds: Fable constructed an effective search query on its first attempt, pulled every page of results, deduplicated the paths, and answered the question. GLM-5.2 found 120 files, and reported those 120 as the complete answer, without ever questioning whether it might have missed something. Both models had access to identical tools. GLM used a slightly different search query that returned fewer results, and it simply trusted what came back. Along the way, it also lost track of a results file it had saved earlier and spent turns searching the filesystem trying to find it again, plus hit two errored tool calls while trying to fetch file contents. In essence, GLM-5.2 ended up spending 262 seconds and three and a half times the tokens to deliver 92% of the answer. Ninety-two percent sounds close, but in a real security audit, that gap is 10 leaked credentials making it into production. Gap #2: Judgment when the criteria are fuzzy The second failed task is more unsettling, because GLM did almost everything right and still failed to get to a complete answer. The task was a Zendesk SLA audit: find the open billing tickets where no support agent had posted a public reply within 24 hours of the ticket being created. This requires reading each ticket's actual conversation history and making a judgment call about whether a genuine agent reply happened. GLM-5.2 inspected every candidate ticket, exactly as instructed. It also computed breach timestamps correctly. It also produced perfectly structured output in exactly the requested format. But then it classified the wrong tickets as breached. GLM spent 927,000 tokens and six and a half minutes producing a wrong answer that looked correct on the surface. Fable 5 identified the exact set of breached tickets in 131 seconds. What makes this failure mode dangerous is precisely how presentable the wrong answer was. The formatting was right, the timestamps were right, the structure was also right; a human skimming the output would almost certainly have approved it. A human would identify the error after carefully analyzing the stack traces. Gap #3: Efficiency, compounded Even on the 45 tasks both models passed, the traces often looked very different, and one task made the difference quite visible. The task was a LaunchDarkly configuration change applied via JSON Patch, a format that demands strict precision. Fable 5 completed it in 45 seconds, using 3 tool calls and 181,000 tokens. GLM-5.2 got the same correct result, after 8.8 minutes, 17 tool calls, and 982,000 tokens. That's 11.7 times longer and more than five times the tokens for an identical outcome. Looking at the largest speed gaps across the whole run: the LaunchDarkly change at 11.7x, the GitHub secrets audit at 3.9x, a Google Calendar recurring-event repair at 3.6x, a free/busy scheduling task at 3.4x, an Airtable batch-isolation task at 3.4x, the Zendesk SLA audit at 3.0x. The pattern underneath all of these is that Fable tends to reach the right tool with the right parameters on the first attempt, while GLM takes a more exploratory path, doing extra searches, extra retries, occasional detours to recover from its own missteps. This difference barely matters in a single chat exchange, but in an agent workflow, where every step feeds the next one, the time compounds across the entire task. That's how you end up finishing the same suite of work in half the time and at 80% of the token cost. What all this actually tells us The interesting conclusion here isn't "the closed model beat the open one.", but *where* it beat it. Both models can definitely use tools, navigate real APIs, handle authentication, parse messy responses, and chain steps together. The real gaps were things like: - Knowing when a job isn't actually finished yet. - Verifying its own work before committing to an answer, - Treating "the output looks plausible" and "the work is complete" as different things - Getting judgment calls right when the criteria are fuzzy In other words, Fable 5 scored higher in the places where small mistakes are hardest to spot and most costly to miss.

• 
  Anjula Dwivedi (@HeyAnjula) reported 48 minutes ago

  Claude, ChatGPT, Gemini, and Grok agree on almost nothing. They all quietly agreed on MCP. Here's the part nobody's telling you: there are 11,000+ MCP servers live right now, and fewer than 5% make a single dollar. The plumbing is built. The money isn't picked up yet. MCP is basically USB-C for AI. Before it, connecting an AI to your tools meant hand-wiring a custom integration every single time. Now you build one small server and every major AI can plug into it — Gmail, your database, Notion, any API. And you don't even need to be a real engineer anymore. You describe the tool, Claude or ChatGPT writes most of the server, you ship it in a weekend. The playbook is stupidly simple: → Find a boring workflow someone repeats every week → Build one sharp MCP server that kills it → Free tier for reach, paid tier for revenue → Charge per use, per seat, or per outcome Servers that actually solve something are pulling $500–3K/mo. Some hit $10K in six weeks. Built once, sold on repeat. The window where "understands MCP + ships one tool" is rare won't stay open long. The marketplace is empty. Be the one who fills it.

• 
  Tural 🌱 keep growing (@iamtrueal) reported 49 minutes ago

  one thing i learned building a chrome extension for X that applies to any tool you build for a single page app, notion, linear, gmail, X, they all work the same way under the hood... when you navigate inside these apps, the page never actually reloads. it just swaps content in and out of the same html elements. so if your extension marks something like tags an element, or whatever, and you don't explicitly clean that mark up when the user navigates away. it can silently stick around and reapply itself on a completely different page later. took us a while to catch this with Claude Code, bc it only showed up in one specific case, where something i'd filtered out on the main feed stayed hidden even after i navigated to a page where it should've been visible again. the fix wasn't complicated, where every time your extension's mode turns off, explicitly clear every mark you made. don't just remove the trigger and assume the effects go with it. if you're building anything for a modern web app: state doesn't die when you think it does. clean up after yourself.

• 
  Nainsi Dwivedi (@NainsiDwiv50980) reported 50 minutes ago

  Claude, ChatGPT, Gemini, and Grok agree on almost nothing. They all quietly agreed on MCP. Here's the part nobody's telling you: there are 11,000+ MCP servers live right now, and fewer than 5% make a single dollar. The plumbing is built. The money isn't picked up yet. MCP is basically USB-C for AI. Before it, connecting an AI to your tools meant hand-wiring a custom integration every single time. Now you build one small server and every major AI can plug into it — Gmail, your database, Notion, any API. And you don't even need to be a real engineer anymore. You describe the tool, Claude or ChatGPT writes most of the server, you ship it in a weekend. The playbook is stupidly simple: → Find a boring workflow someone repeats every week → Build one sharp MCP server that kills it → Free tier for reach, paid tier for revenue → Charge per use, per seat, or per outcome Servers that actually solve something are pulling $500–3K/mo. Some hit $10K in six weeks. Built once, sold on repeat. The window where "understands MCP + ships one tool" is rare won't stay open long. The marketplace is empty. Be the one who fills it.

• 
  Elisabeth | AI Builder + UGC Sales (@closermethod) reported 54 minutes ago

  I have been thinking about this a lot. Brands spend $200,000 a year on AI platforms to manage creator relationships. CreatorIQ. Aspire. GRIN. These tools cost $2,000 to $16,000 per month. Creators manage their businesses with Google Sheets and Gmail. That asymmetry is the whole problem. And AI closes it for $20 a month. If you know how to set it up. That is what I am building. That is what I am teaching.

• 
  Muhammad Tukur | MEC (@amiirmu) reported 55 minutes ago

  @_MetaEarth_ We support a future built for verified people, not bots. But please remember that many of the accounts currently unable to log in are genuine users, not automated accounts. Many registered legitimately with Gmail addresses containing a "+" and are now locked out. Please don't let real community members be mistaken for bots. Resolving this issue will strengthen trust in Meta Earth. @_MetaEarth_ @MetaEarthDevs