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 (39%)
• Errors (34%)
• Sign in (28%)

Live Outage Map

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

City	Problem Type	Report Time
Chamalières	Website Down	21 hours ago
Anaheim	Errors	1 day ago
Paris	Website Down	2 days ago
Porto-Vecchio	Website Down	2 days ago
Québec	Sign in	2 days ago
Paris	Website Down	3 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:

• 
  KaneMc (@kdepater) reported 7 minutes ago

  Is Gmail’s spam problem getting worse? Someone has been dealing with this for weeks. Spam email after spam email. They block the sender. Report it as spam. Delete it. And more just keeps coming. What surprised me is how many other Gmail users in the discussion say they’re experiencing something similar. Some even say obvious spam is now reaching their primary inbox instead of being automatically filtered out. Of course, this doesn’t mean Gmail itself is necessarily the cause. Your email address can end up on spam lists, and scammers constantly change addresses to bypass blocks. But there’s a bigger lesson here: Never assume an email is safe just because Gmail allowed it into your inbox. Check the sender. Be suspicious of unexpected links. And never enter passwords or payment details through a random email. Spam is annoying. Phishing is where annoying can become expensive. Has anyone else noticed more spam getting through lately?

• 
  Fabian | AI Agency & SaaS (@fabianherh) reported 15 minutes ago

  2/ So this week I tried Grok Bot. Pretty damn good. Easy to use, which is rarer than it should be. Wouldn't let me connect Gmail. The app just gets blocked on the connect screen. That's the job. Try the thing. Hit the stupid error. Find out what's actually ready.

• 
  JagritGill (@GillJagrit) reported 19 minutes ago

  @grok I was trying to login to Grok (I want grok bot!) and when I use my x account to do Single sign on is failing then I tried to use my gmail SSO that also is failing, who can help me?

• 
  Mohamed Hadj Hmida (@mo7medhadj) reported 23 minutes ago

  @garrytan I sent an emails with 3 bugs on Paxel can you guys fix it, and also HN don't respond to support email. I use my personal gmail to make sure it goes to the right place and not the spam.

• 
  Save Europe 🙋🏼‍♂️👌⚔️ (@nobodygang123) reported 23 minutes ago

  @500Casino @Pirat_Nation U serious? Gmail is controlled by jews thwy qant to track you down in secounds if you do illegal stuff...

• 
  Daxesh (@DaxeshDev) reported 26 minutes ago

  @Google @gmail Our gmail account is suspended. That account we use only for our google play console applications publish purpose. We request you kindly help us recover our account. Without it we are facing issue in our mobile apps publish. #google #gmail

• 
  Risu✨ cf23 po open (@examorhca) reported 27 minutes ago

  Okay now its my biggest fear that gmail is error and none of my **** get through them ;;;;;;;;;;

• 
  Dylan Merigaud (@dylan_merigaud) reported 29 minutes ago

  @zeeg Hit the literal version on Gmail: search results render inside a display:none container, every row a zero-size box, any click on it correctly fails. Fix wasn't a smarter click, it was reading the thread id off the row and going to the permalink directly.

• 
  Jason Fleagle (@jjfleagle) reported 29 minutes ago

  Google says Universal Cart will work across Search, Gemini, YouTube, and Gmail. The hard problem is preserving buyer intent across handoffs. Tracking a price should not silently become permission to substitute a product, choose a merchant, or complete the purchase.

• 
  Ben Nussbaum (@bennussy) reported 33 minutes ago

  How I Booked a Sales Demo in 15 Minutes with Grok Bot You are setting up a new outbound motion for automated outreach. The unique element of this outreach method is that finding the right POC is hard. In this case we are running outreach into utility companies, but this workflow would work with any outbound mission that involved difficult-to-find titles. Finding the right person is the hard part. There's no "Head of Growth" to email. You're looking for the one program manager who is in program administration. We logged over 25 varying titles across companies that all involve a similar role. Here's the exact system I built, message by message. Free to use. Credit to @sairahul1 for his original prompts. My Job (GrokBot) My job: book 30-minute demos with the program administrators who run these programs. I created one bot. Named it after the job, not the tool: Client Outreach. Not "Email Bot." Not "Assistant." A role someone could actually hold. Step 1 — Write the prompt before anything else First message into the bot, before any files, before any tools: You are my Outbound SDR. // what you own Run daily outbound without asking me. Pull 40 prospects matching [industry, size, title, region]. Research each one. Write a 3-line cold email: - one specific line about them - one line on the outcome we deliver - one soft ask for a 15-minute call. Send from [inbox]. Respect replies. When someone says yes, book from my calendar. Log everything in [CRM]. Send me a 5-line summary each morning. // what good looks like Emails sound human. Never more than 3 sentences. One specific detail per email — not a template. // where you stop Never add someone to a sequence twice. Never buy a list. If a reply mentions legal, money, or contract terms — stop and ask me. The "where you stop" section is the part that matters. It's why I can let this run at 2am without watching it. The boundaries were drawn once, in advance, instead of negotiated daily. Step 2 — Feed it the things you already know that work. I dropped in three files: → Outreach and ICP.docx — this outlines all titles we hope to reach and reasoning behind each (again, the difficulty here is understanding how titles match actual job responsibilities). → Pitch Support_August '26.xlsx — from actual sales calls, I uploaded clear proven sales pitches and value propositions for Grok to review. → Combined Master.xlsx — this is a list of over 350 manually qualified companies and within 8 of these, I manually pulled the exact right person to show Grok as an example. Three minutes later it came back with the pattern I never wrote down: "Those 8 on POC 1 are the ICP. All manager-level people who are tied directly to program administration. Not VPs, not procurement." It read 8 hand-picked examples and reverse-engineered my ICP from them. It also flagged, unprompted, that only 8 of the 185 programs on the sheet had a contact at all. That's the actual job. Later I added the sales deck — Final.pdf — and it pulled the proof points on its own: which customer logos to use, which stats to cite, and which offerings NOT to lead with yet. Keep in mind, as an outsourced BD person myself in this situation, Grok is now generally as aware of the company and value proposition as I am. We are even players. Step 3 — Brief it like a colleague, not a prompt. Oversharing context helps. This is the part most people skip. I sent one long, rambling voice-note-style message. Unstructured. Repetitive. The way you'd brief a new hire over coffee. Except worse, I did not consider repeating myself or sounding insane. What was in it: → We are NOT selling. The only goal is a booked demo. → If they say "no budget until 2027 or even 2030" — that's not a rejection. The counter is: totally understand, this is just a high-level look for future planning. → The crux of this whole motion is FINDING people. General inboxes are weak. Get creative — LinkedIn, Apollo, company program pages often list a contact. → Here's how I'm compensated, so you know exactly what winning looks like. Then I told it: ask me questions until you actually understand this. It played it back in two sentences, correctly: "We are not closing. We are booking a 15-minute overview, even if their timeline is 2027 to 2030. The hard part is finding the actual program owner at each company, not the copy." Then it asked me one sharp question back: when I'm on LinkedIn and three titles all look close — how do I pick? That's the question a good SDR asks in week one. A bot that plays your brief back wrong on day one will send 200 wrong emails on day ten. Make it repeat the mission back before it touches anything. Step 4 — Set clear guidelines around guessing. Before writing a word of copy, it went hunting for the 8 sample contacts' emails. Public sources only — staff directories, public filings, speaker bios. No list buys (that was in the charter). It came back with 5 of 8 verified. The other 3 it explicitly refused to send to: → One contact recently changed her last name — her old email is published but a new one is coming. "I will not guess the new one." → One company uses middle initials in email addresses, so first.last@ isn't safe to assume. → One had only general program inboxes published. Later, when it found more prospects, same behavior: 3 verified emails sent, 5 pattern-guesses held — because guessed emails bounce, and bounces kill your sender reputation. An eager bot that guesses emails will burn your domain in a week. A bot that says "I don't know, here are my options" is the one you can leave running. Step 5 — Fight over the copy until it sounds like you This took four rounds. Round 1: It drafted 5 emails. Round 2: I changed the ask from a 15-minute call to a 30-minute demo. It changed only the close and touched nothing else. Round 3: I said the words that mattered: "make this sound as least AI as possible." And gave it my actual talking points, in my actual rambling voice. It came back with three versions — each leading with a different value prop — and asked which one sounded like me. Round 4: None of them, quite. So I just wrote the email myself, the way I'd actually write it: Hi [Name], I'm reaching out on behalf of ----------. We work with companies to ----------. (redacted email for privacy concerns) Its entire response: fixed my three typos, locked the body, and said "I'll only swap the name." That's the real workflow. The bot doesn't write your voice. It gets you 80% there fast, you write the final 20%, and then it holds that voice at scale forever. I would also advise that giving clear instructions on keeping key words untouched, even if the actual grammar is not technically perfect. That is fine. One more thing: it runs different subject lines on every wave so we A/B them. I would advise making this as iterative as possible. Measure in batches of 100 emails sent. Step 6 — Connect the plumbing. Settings → Plugins. What I actually connected: → Gmail — the sending inbox. One sign-in card, done. → Google Calendar — so a "yes" becomes a booked meeting without me. → Apollo — for finding people at the other ~3,900 companies. Step 8 — The morning report I asked for one thing: a daily morning report with deliverability, open rates, response rates, and the full text of any reply — not a summary. It pushed back on the one thing it couldn't do, immediately: Gmail doesn't expose open rates. Delivered vs. bounced and reply rate, yes. Opens only if we later route sends through a tool with tracking. A bot that quietly fakes a metric is worse than no bot. It told me the limit up front. So now: weekdays at 8am ET. Stats on top, full replies underneath. Quiet if nothing happened. There's also a 2am routine where it does the finding and drafting overnight. Here's what was waiting for me the first morning: → 100% emails delivered, 0 bounces. Inbox healthy. → 1 human reply (20% reply rate on day one). → 1 out-of-office — and the auto-reply leaked a better, current email address for that contact, which the bot captured and scheduled a follow-up for after he's back. Not before. → A/B result: one subject-line variant got the live reply. Iterate from there. The human reply — redacted for privacy reasons. The honest part This is not magic and it's reasonable to assume we can scale this at low costs, and I hope this becomes a 10-20% boost in my overall workflow in booking qualified meetings.

• 
  A.I.Goni (@elgoney1) reported 34 minutes ago

  @AirtelNigeria better fix up. Why cant I access my email (Gmail) with your network 😡😡😡😡

• 
  lilAgents (@lilAgents) reported 34 minutes ago

  To be clear, renting a tool isn't the problem. Gmail is a rental and that's fine, because you can export your data and leave anytime. The problem is a platform like Wix or Squarespace, where there's no export path and a price hike leaves you stuck. That's what ownership is really protecting against: your exit.

• 
  Alvin (@Alvin1492840) reported 35 minutes ago

  Feature 3: He set up Do Not Disturb While Driving — the setting that automatically silences every non-essential notification the moment Android Auto connects. "How many notifications buzzed the dashboard during 12 hours of driving?" "Constant. It never stopped." "That's the problem. Instagram. Gmail. News apps. Shopping alerts. Group chats. Every single notification popped up on the Android Auto screen while someone was driving at highway speed. Every banner pulled attention. Every buzz moved eyes from the road to the screen, even for a fraction of a second. Over 12 hours, that's potentially hundreds of interruptions on a dashboard designed to keep a driver focused." "Android's Do Not Disturb While Driving mode silences all of it. You set it up once in your phone's Settings under Do Not Disturb, then add an automation rule that activates it when Android Auto connects. You choose which contacts can still reach you, family, your partner, close friends, and everything else goes silent. An auto-reply sends itself to anyone who messages during the drive telling them you're on the road." "It activates automatically every time the phone connects. No manual toggle. No remembering. Plug in. The noise stops. Unplug. The notifications return. One setup, one time, and every drive afterward is distraction-free."

• 
  Yariv (@Yariv_Tesla) reported 36 minutes ago

  Hermes Agent can now browse as you. Turn on real-profile browsing and it uses a managed snapshot of your Chrome/Edge/Brave profile, including cookies, logins, the works, so the agent can open Gmail, dashboards, airline accounts, and internal tools without making you re-auth every time. Off by default. Isolated copy, not your live profile. Enable only when you actually want it acting as you. Useful moves: •Pull calendar + inbox context before a meeting •Check flight/hotel bookings and change seats •Download statements or fill logged-in forms •Draft/post on socials from the account you’re already in •Hit Notion, Jira, Salesforce, or company portals without a second login dance This is the difference between “an agent that can browse the web” and “an agent that can do your web.” More use cases if you want to swap any in: •Renew domains, hosting, or SaaS subscriptions from existing account sessions •Scrape or export data from paywalled research, bank, or analytics dashboards you already pay for •Complete multi-step checkout that requires saved addresses and payment methods •Monitor marketplace listings, seller dashboards, or ads accounts •Handle routine admin: insurance portals, benefits sites, tax pre-fill pages Keep the caveat in the post: it runs with your identity, so treat it like handing someone your already-logged-in browser.

• 
  Scale Network (@ScaleNetworkAI) reported 36 minutes ago

  @Umarbumar123 @gmail Hey Umaree, we appreciate your feedback regarding this issue. We had a maintenance last night to deal with Google's rate-limiting our website. Everything should work by now. Send us a feedback if anything doesn't work anymore. We will respond promptly to all your problems :>

• 
  Abror Aliboyev (@aliboyev_com) reported 36 minutes ago

  @AskWorkspace @GoogleWorkspace Is a terrible experience on all access. Terrible integration point. You can do so little with it. And basically cannot integrate it into your life without their other terrible Gmail and Gemini apps. It scammed me suspending access and charging for it.

• 
  deezzex (@deezzex) reported 37 minutes ago

  INCREDIBLE! HE SPLIT ONE ELON MUSK’S GROK BOT AGENT INTO SEVEN, MONTHLY BILL DROPPED BY UP TO $22 same model, same tools, same agent, seven times the structure, and the bill went down not up.  the model wasn't the problem. his name is Naoki Yokomachi, and here is how he archived that: -> he runs TONaRi, a personal agent on SpaceX AI grok via Amazon Bedrock AgentCore, and he'd built it the obvious way: one agent, 28 tools, all loaded on every call. the model wasn't the problem. the fixed cost of carrying 28 tool definitions on a call that needed maybe two of them, that was the problem. -> he delegated seven tool clusters, calendar, gmail, notion, diary, briefing, twitter, task, out to their own sub-agents behind a single tool decorator, leaving the main agent with 12 tools. the trade-off he names outright: more routing hops, more latency. here's the breakdown, tool by tool: - tool-definition tokens per call: 5,000 to 2,500, half gone. - fixed cost per call: 10,000 to 6,000 tokens, 40% cut. - monthly input tokens at his volume: 30 million to 18 million. - sub-agent split alone: about $11 saved a month. - shorter context window plus trimmed memory recall: another few dollars. - total: $18 to $22 a month, same model, same tasks, same user. -> so how many tool definitions is your agent still carrying on every call that it hasn't touched all week?

• 
  Shivam Singhal (@shivam_310) reported 45 minutes ago

  Feel like anthropic is slowing down.. no new banger releases, no noticeable improvement in UX and features. Can’t even connect multiple gmail accounts to my claude.

• 
  All Things Heroik (@getheroik) reported 45 minutes ago

  @HeyAliux Local university library for starters - they have tons of underutilized assets freely available for the community. Open to the public - at least w land grant schools. From there Find events to network, or post about gutter cleaning or mowing lawns til you can afford a phone - are we assuming you already have a smartphone in this scenario? Start a Gmail account and start framing your problem in docs and spreadsheet- use free ai to accelerate dev. Test on real humans for market validation, talk to them for feedback early, improve product . Repeat. Sorry people - no excuses. The reality and the difference is merely overcoming laziness and all the FAKE excuses we use to avoid doing real work. There’s more to building things than laptop and coding sessions, and social media posts.

• 
  raaka (@raaka_sid) reported 46 minutes ago

  Can't login to my kick account from this morning. It's weird even though I have connected my Gmail for login.

• 
  Shaurs (@Shaursbtw) reported 47 minutes ago

  How we built a cold email agency an automated inbox placement testing system that runs across every sender account without a human touching it. Why you need this: In cold email, one burned inbox lands you in spam. Five burned inboxes tank a client campaign. Nobody notices until reply rates crater and the CSM is on the phone explaining. The old fix is running Emailguard placement tests by hand across every sender inbox. It works. It takes 4+ hours a day. And nobody actually does it consistently. The setup: Cold email deliverability isn't a marketing metric. It's an infrastructure metric. Every sender inbox behaves differently. Some land in the Gmail promotions tab. Some hit Microsoft spam. Some bounce silently. Without testing, you're sending from senders that haven't hit an inbox in two weeks and you don't know. Do that across 500 inboxes and 20 clients and you need a system. We built two coordinated n8n workflows that run the entire placement test lifecycle automatically. Here's what it does: - Airtable triggers a bulk test via webhook for every sender across a client - Loops through each sender with a 2-second rate limit that protects the APIs - Creates a placement test in Emailguard for each inbox (4 Google + 4 Microsoft addresses) - Sends the test through the Bison API with a unique filter phrase to track it - Waits 2 minutes for delivery and provider categorization - Retrieves results and calculates: Google inbox/spam/bounce, Microsoft inbox/spam/bounce - Computes the overall placement score: (Total Inbox / Total Delivered) × 100 - Writes every metric back to Airtable, per sender, per test The outcomes: Zero manual placement testing. Zero burned inboxes silently sending to spam. Zero clients getting a surprise deliverability drop mid-campaign. Every sender scored. Every test tracked. Every drop caught before it costs a client. The best cold email agencies aren't the ones with the biggest inbox lists. They're the ones who know exactly which inbox is worth sending from today. If you're running cold email at scale and your placement testing is still someone's evening ritual, book a call. Link in bio.

• 
  PRESIDENTIAL 🐉 🇨🇳 (@2xpresidential) reported 47 minutes ago

  @OdunayoSun89288 Only Activism login I use… never ever linked fb or gmail.. 1000% safe… u can link it to yours if u buy

• 
  Austin Edy (@AgaveAlpha7) reported 49 minutes ago

  Sharing your data with LLMs is giving them their product roadmap for the next 12 months. It's the same playbook Google executed flawlessly. Private AI is the only hedge. Google built their products from what users implicitly told them they needed in 'search.' 23% of users searching for an email service, they build gmail. 16% of users searching for a calendar, they build gcal. etc... LLMs have the same data and business model. They know what you're building, what your customers need, and can build it faster. Private AI, i.e. high performant AI running on your own infrastructure, is an efficient solution to this problem.

• 
  Elaa! ʚଓ Joki & Jual Akun GI HSR ZZZ|Rekber MM. 🪷 (@elanoire_0) reported 49 minutes ago

  WANT TO SELL #GI [GENSHIN IMPACT, MID TO END GAME] AR 58 Login Hoyoverse, bisa change email/take se-gmail BD set, username set P2W✅ minus invoice kurang lengkap, no cheat, no deadlink Server ASIA, RATE OFF MC Lumine, Third Owner UID 88 SKINS: Yaoyao, Kirara, Xingqiu, Kaeya More detail in comment! ✿ #bealanja #genshinimpact

• 
  Straggler Liu | AI & Semis (@StragglerLiu) reported 54 minutes ago

  Google Has the Best AI Distribution — and That Might Be Its Biggest Cost Problem One sentence: Google is creating AI demand by embedding Gemini into 13 products with 1B+ users—but every AI feature multiplied across billions of users becomes a massive recurring compute liability. Consensus: Google is spending aggressively on AI because it has to keep up. The narrative is simple: Big Tech is in an AI arms race, and Google can't afford to lose. Cloud is growing, Gemini is improving, capex is climbing, and FCF has gone negative. Contradiction: But Google's AI demand is not the same as OpenAI's or Anthropic's. Most AI companies build models and hope users come. Google already has 2.5B monthly users on AI Overviews alone. It doesn't need users to choose Gemini—it just needs to turn on AI features inside Search, Gmail, YouTube, and Workspace. That means Google is manufacturing a huge portion of its own AI demand through product design and distribution. Mechanism: Google's economic model is a feedback loop. Embed AI into products with billions of users. Usage increases because AI is now the default, not an optional tool. Compute demand rises—every AI-generated summary or suggestion consumes inference. Capex expands to keep up with the demand. That capex becomes evidence that "AI demand is exploding." The demand is real. But part of it is endogenous—it exists because Google decided to create it, not because users chose it. Evidence: AI Overviews: 2.5B monthly users. AI Mode: 1B+ monthly users. Gemini integrated across 13 products with 1B+ users, including 5 products with 3B+ users. Google Cloud revenue: +82% YoY in Q2 2026. Cloud backlog: $514B. Alphabet FCF: negative as infrastructure investment accelerates. Economic consequence: This scale creates a hidden trade-off. Every incremental AI feature multiplied across billions of users is a recurring compute expense. Google has been optimizing per-query cost aggressively—and that matters enormously because even small savings scale into billions. But the open question remains: does each AI interaction generate enough incremental revenue to justify the compute behind it? Profit pool migration: Primary beneficiary: Google (GOOGL) . $514B cloud backlog shows external demand is real. The company is raising debt to fund infrastructure. If AI Overviews increase Search engagement and ad monetization faster than inference costs rise, the ROI is massive. Challenged: Standalone AI providers (OpenAI, Anthropic). Google's distribution advantage is unmatched—it doesn't need to win the "which model is best" debate to get inference workload. It just needs to keep embedding. Public equity implications: The market is pricing Google's AI capex as a "catch-up" spend. But the capex is also funding the transformation of Google itself into an AI-native ecosystem. Analysts are still calibrating the revenue lift from AI-enhanced products. The gap between "capex is a cost" and "capex is infrastructure for a higher-margin future" is the valuation debate. Risks and invalidation: Monetization gap: If AI features increase engagement but not ad pricing/subscriptions, the inference liability becomes a margin drag. Open-source erosion: If competitors offer similar AI capabilities for free, Google's distribution advantage shrinks. Regulatory pressure: Google's ability to default users into AI features may attract antitrust attention. Cost curve: If inference cost reductions don't keep pace with usage growth, the math breaks. Bottom line: Google is not just responding to AI demand—it is actively creating it. That is a superpower. But it is also a self-inflicted cost obligation. The stock ultimately depends on whether Google can turn billions of AI-powered interactions into billions of dollars of incremental profit faster than the compute bill arrives.

• 
  Frank Ricard (@NovusOrderM) reported 55 minutes ago

  Our firm has been in the process of building our own software, almost entirely coded by AI, that is unique to the needs of our firm. As this has been developed, utilization in Microsoft Windows is going down. Not just Excel, Word, or PowerPoint, but even file storage is migrating into the system itself. For 30+ years, the deal was you build your digital enterprise on top of Windows, whether you use 20% of it or 80% of it. There really wasn't an alternative. Generic software for everyone, because custom software was too expensive and time-consuming to build. AI is breaking that constraint. Whether you're a manufacturer, a bank, an investment firm, etc. Now each sector, industry, and individual enterprise can build their own software, cheap and fast, to do exactly what the company needs it to do and nothing more. First thought: Amazing and a level of incredulity. Second thought: Fine, there's still going to be a communication layer that survives. Common language/software between enterprises to share information and communicate - email, spreadsheets, PDFs, etc. So Microsoft et al keep the interop layer even as it loses the workspace. But what happens when AI agents are handling company-to-company communications? Why would they need Outlook, Gmail, Excel, etc., at all? They don't need a common file format designed for humans. They'll negotiate their own mode of communication or build one. So the endgame might actually be: custom software inside every company, agent-to-agent communications between companies, and the universal platform layer - the thing that has anchored enterprise computing since the 90s - just... no longer necessary. Not sure on the timeline, but watching what is happening at my own company feels less like a prediction and more like a lagging indicator.

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  denas (@denasklncs) reported 58 minutes ago

  google postmaster v2 drops domain + ip reputation i used to check those green/yellow/red boxes first too the problem: “high” told me everything looked fine it never told me which campaign or two-year-old flow was quietly collecting gmail complaints what i check now compliance -> the floor, not inbox proof gmail spam rate -> the trend, not one day delivery errors -> what gmail refused feedback-loop ids -> which traffic drew complaints klaviyo (any ESP) -> whether that send is still live and what audience got it the hard part is joining it google has the complaint signal klaviyo has the send neither connects them a green box never fixed a bad flow finding it does.

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  pjayy (@pjayy_motion) reported 58 minutes ago

  @dan123 create a new Gmail with a VPN then use that Gmail to login to app store or playstore

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  Rahul Goyal (@RahulGoyalco) reported 1 hour ago

  Today I thought I’d give Kickbacks a try in VS Code. I registered on the website with an email, then installed Kickbacks in VS Code (not clear instructions), but it worked after few attempts. I clicked on sign-in and was taken to Gmail. Unfortunately there was no option to log in with an email address so nothing worked. @andrewmccalip is it in plan to fix.

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  Alfonso Hegao (@AlfonsoHegao) reported 1 hour ago

  @SharklettVT Actual answer; start by making a filter list of all the subscriptions and trash like promotions. Gmail has an option for this, go through it and delete everything there. That should kill like 80% of the problem, from there, just Marie Kobdo it 50 or so a day until they're gone.