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Problems in the last 24 hours
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Most Reported Problems
The following are the most recent problems reported by Reddit users through our website.
- Website Down (43%)
- Errors (30%)
- Sign in (27%)
Live Outage Map
The most recent Reddit outage reports came from the following cities:
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Errors | 4 days ago |
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Sign in | 6 days ago |
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Errors | 6 days ago |
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Errors | 16 days ago |
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Website Down | 22 days ago |
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Website Down | 24 days ago |
Community Discussion
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Reddit Issues Reports
Latest outage, problems and issue reports in social media:
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Kiana_SEO (@KianaS_00) reportedIf you’re spending budget on GEO right now, this test may save you from putting it into the wrong channel. Today, my client gave us around 500 queries their in-house team was tracking, saying that they want to do Reddit. We narrowed them down to 50 representative ones and ran each 10 times, roughly 500 real ChatGPT responses in total. In this sample, Reddit appeared as a referenced source only 4.8% of the time, with zero direct Reddit citations. At the same time, we started seeing YouTube show up much more often for this AI category. And this is exactly why, for the clients we already work with, we don’t treat distribution as a fixed strategy. Also, e didn’t wait for the Reddit citation drop to become a GEO headline. Our daily monitoring was already showing the shift. Around August 5, we started noticing changes in how ChatGPT was retrieving sources across real user responses. We adjusted the client’s distribution strategy before the broader data came out. Later, public tracking made the change much clearer. ChatGPT Search’s use of site:-specific fan-out queries jumped from roughly 0.37% to 16.8% in a day, while the average number of searches per response increased from around 1.08 to 1.83. A few days later, Reddit’s tracked share of ChatGPT Search citations fell from a previous average of 3.83% to around 0.52%. By the time this became widely discussed, we had already seen the direction in our own monitoring and started moving the client’s budget. But Reddit still matters for reviews, community discussion and long-term brand presence. Before scaling content, we now look at: which domains AI is actually retrieving from which formats keep getting cited which sources are gaining or losing share how those patterns are changing week by week Then we move the budget. For visual categories, that might mean more YouTube. For another category, it might be product pages, niche publications or first-party research. The useful takeaway is simple: Build your GEO distribution plan around what the model is retrieving now. And ideally, you see the shift in your own data before everyone starts posting about it.
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QuiescentCrescent (@qui_crescent) reportedIt's just very funny to me how positively tame whatever personal drama he has going on is compared to the gangbanging and serial killing of all the thug rappers reddit fellates. All performative, all the way down.
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Justinas Rolando (@JustinasRoland0) reportedBeen testing Claude Fable 5.1 for Google Ads and gotta say it's cracked... The research, reasoning, and data analysis capabilities literally 10x'd. So here's a 10-stage AI workflow to automate 80% of it: (Literally every prompt you'll need. Save this) Stage 0: Build the project brain Before asking for anything, create a Claude Project and feed it everything. - Product pages - Best sellers - Customer reviews - Objection docs - Competitor URLs - Meta ads - Google Ads Transparency Center links - Search terms reports - Winning ad copy - Offer details - Brand guidelines - Past landing pages - Performance exports Then run this prompt “Act as the Google Ads strategy brain for this brand. Read all uploaded context and create a working brand profile covering: ICP, core pain points, buying triggers, objections, emotional language customers use, top products, strongest offers, competitor positioning, current funnel gaps, and Google Ads opportunities. Do not make recommendations yet. First summarise the context and ask me what is missing.” The quality of the outputs you’ll get from this AI workflow will directly correlate with the quality of the context you give it here. And also the quality of the Claude model you use, since newer models have more context tokens and better reasoning skills. Stage 1: Customer language mining “Search Reddit, YouTube comments, Amazon reviews, TikTok comments, and niche forums for people discussing problems related to [PRODUCT CATEGORY]. Extract the exact words they use when describing the problem, what they have tried, why those solutions failed, what outcome they want, and what would make them buy. Format this as: Quote / Pain Point / Desired Outcome / Funnel Stage / Possible Ad Angle.” This gives you the language that keyword tools would never show you. If someone writes: “I’m tired of wasting money on supplements that do nothing.” That can be a winning ad angle right there. Stage 2: Competitor angle map “Research these competitors: [COMPETITOR 1], [COMPETITOR 2], [COMPETITOR 3]. Use Google Ads Transparency Center, Meta Ad Library, their landing pages, product pages, offers, guarantees, reviews, and email capture flows. Build a table showing: offer, main promise, ad hooks, landing page angle, proof used, objections handled, pricing position, and what they are NOT saying.” Then run: “Based on this competitor research, identify the 5 most validated market angles and the 5 biggest white-space angles we can own. For each angle, explain which funnel stage it belongs to and what campaign type should test it first.” If 3 competitors are all running the same hook, that angle is validated. You don’t even need to be original. Just add your unique spin to what’s already working. Stage 3: Keyword research “Using the customer language, competitor research, product pages, and search intent data, build a full Google Ads keyword universe for [BRAND]. Split it into: branded, competitor, high-intent product, problem-aware, solution-aware, comparison, ingredient/material, use-case, gift/occasion, and negative keywords. For each keyword, include funnel stage, intent level, match type, campaign/ad group recommendation, and landing page angle.” Then run: “Now prioritise this keyword research report into a 30-day launch plan. Separate must-launch keywords from phase 2 tests. Flag any keywords that are high volume but low commercial intent.” This stops the campaign from becoming a messy keyword dump. Stage 4: Campaign architecture “Turn the finalized keyword research report into a complete Google Ads account structure. Include campaign names, ad group names, keyword match types, bidding strategy, starting budget split, exclusions, negative keyword rules, and when each campaign should launch. Use this structure: branded search, branded shopping, non-branded shopping, non-branded search, competitor search, PMax remarketing with brand exclusions, display remarketing, Demand Gen, and TOF search tests.” Then add: “Explain why each campaign exists, what signal it is meant to produce, and what metric decides whether it scales, holds, or gets cut.” Every campaign needs to play a role in your ecosystem. If it doesn’t, you should just stop running it. Stage 5: RSA copy production “Write responsive search ad copy for [PRODUCT] targeting [KEYWORD]. Funnel stage: [BOF/MOF/TOF]. Use the customer language and competitor gap analysis above. Give me 15 headlines under 30 characters and 4 descriptions under 90 characters. Include: benefit-led headlines, problem-led headlines, proof-led headlines, offer-led headlines, and urgency-led headlines. Make sure headline 1 matches the search intent.” Then run: “Create 3 ad variations for this keyword: one direct-response version, one proof-heavy version, and one problem-agitation version. Explain which audience each variation is for.” BOF copy should sound like the product is the obvious answer. MOF copy should make the benefit feel believable. TOF copy should make the problem impossible to ignore. Stage 6: Merchant Center feed optimization “Rewrite this product title for Google Shopping using the structure: Brand + Product Type + Core Keyword + Key Feature + Use Case/Benefit. Stay under 150 characters. Give me 10 variations ranked by likely search intent.” Then: “Write a Merchant Center description for [PRODUCT]. Use up to 5,000 characters. Include all relevant buyer keywords naturally, cover features, benefits, use cases, materials/ingredients, sizing/specs, objections, and reasons to choose this product. Do not include irrelevant keywords or products we do not sell.” Then: “Audit this product feed for missed Google Shopping opportunities. Check title, description, product type, Google product category, images, variants, pricing, promotions, shipping, reviews, and attributes. Tell me exactly what to change.” Stage 7: Landing page angles “Build a landing page brief for [PRODUCT] targeting people searching [KEYWORD]. Awareness stage: [PROBLEM-AWARE/SOLUTION-AWARE/PRODUCT-AWARE]. Structure it as: hero headline, subheadline, proof bar, problem section using customer language, mechanism section, product section, comparison section, reviews, objection handling, FAQ, CTA. Make sure the first screen matches the search query.” Then run: “Create 5 landing page angle variations for this product based on different search intents. For each one, give me the hero, core promise, proof required, objections to handle, and CTA.” Send the best one into Claude Code. Now you have an intent-specific page created instead of 1 generic PDP trying to convert everyone. Stage 8: Creative production Connect Higgsfield MCP inside Claude. Then run: “Create a 9-shot YouTube ad concept for [PRODUCT] based on this angle: [ANGLE]. Style can be claymation / UGC / cinematic product demo. For each shot, include scene description, voiceover, on-screen text. Use GPT Images 2.0 for the statics.” Then: “Create 5 new creative concepts from the strongest customer pain points in the research. Each concept should include hook, visual metaphor, script, image prompts, animation prompts, and CTA.” If you wanna run video ads, animate your statics with Seedance 2.5 Use Fable to write the scripts. Shouldn’t cost more than $3 per ad. Stage 9: Daily campaign audit Connect Google Ads MCP (or just export report CSV) Then run: “Pull the last 7 days of Google Ads performance and compare it to the previous 7 days. For each campaign show spend, revenue, ROAS, conversions, CPA, CPC, CTR, impression share, search lost IS rank, search lost IS budget, and top search terms. Flag: ROAS down 20%+, CPA up 20%+, budget-limited winners, rank-limited campaigns, branded leakage in non-branded campaigns, wasted spend queries, and products spending with no conversions.” Next up: “Turn this audit into an action list. For each action, include the campaign, issue, evidence, recommended change, risk level, and expected impact.” Stage 10: Weekly scaling plan “Compare performance across 7, 14, and 30-day windows. Identify campaigns, products, keywords, ads, and landing pages with consistent green signals. Recommend which budgets to increase by 15-20%, which to hold, which to decrease, and which tests to launch next. Do not recommend scaling anything unless the signal is consistent across multiple windows.” Then: “Create next week’s testing roadmap. Include 3 keyword tests, 3 creative tests, 2 landing page tests, 2 feed tests, and 1 campaign structure test. Rank them by expected impact and implementation difficulty.” And this is how you get your full ecosystem set up: - Research feeds keywords - Keywords feed campaigns - Campaign data feeds landing pages - Landing pages feed creative - Creative feeds new angles - Audits feed the next week of tests If you want me to build this full AI Google Ads production system for your brand btw, DM me “FABLE” and I’ll show you what it’d look like
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Josh (@joshmanders) reported@vaxryy > reddit Well there's your problem
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🇺🇸𝕻𝖆𝖙𝖗𝖎𝖔𝖙𖦏𝕻𝖊𝖗𝖘𝖕𝖊𝖈𝖙𝖎𝖛𝖊𐚁 (@RepublicVox1776) reportedDeadwrong once again LLM... Look, protecting your own Bluetooth devices from unauthorized access, interception, or data exposure is completely legitimate (Bluesnarffing). Grok is here with yet again a false interpretation and takin' sides of conglomerate following its terrible training. If you want to reduce the risk of unwanted access between your phone, your car, or other personal IoT devices, there are a few hardware options that can help with isolation, authentication, or simply cutting down exposure. Some are built for security, some are just practical ways to keep a device from being directly exposed, and all of them can help reduce the chances of unwanted Bluesnarfing or other over-the-air snooping. Here are some pulled from a Reddit thread. Which is what I expected Grok to do... But instead it wrongfully, and commonly flagged my comment as illicit. Ubertooth One — An open-source 2.4 GHz wireless platform used to monitor and audit Bluetooth traffic on devices you own or are authorized to test. iStorage datAshur BT — A hardware-encrypted flash drive that uses Bluetooth-based authentication to protect access to stored data. Besign BK06 Bluetooth Receiver — A Bluetooth audio bridge that can help keep your phone paired to a simpler accessory instead of exposing it directly to a car infotainment system. TUNAI Firefly LDAC Bluetooth Receiver — A portable audio receiver that can serve as an audio-only bridge in some setups. FiiO BTR5 Portable Hi-Fi Bluetooth Receiver — A portable Bluetooth receiver for audio-focused use, useful when you want a dedicated accessory instead of pairing directly with a car system. Mission Darkness Faraday Bag — A shielding pouch that blocks wireless signals, including Bluetooth, when you want full radio isolation. Many can be made and steps to implement in your vehicle would take some brain storming..
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David G Quaid (SEO) (@DavidGQuaid) reported@NomadicBackpac1 so everyone likes to pile on with... So is a dead server - but you never see "having a live server" is good for SEO. There's a line - if it doesnt help SEO - then its not "optimizing" Fixing a page that used to rank by taking "draft mode" off - isn't SEO. It doesnt take an IQ of 145 to figure this out? Go look at the top ranking sites for many high CPC categories and show me they're all the fastest. They're not - many of them fail the CWV test - as many people point out on Reddit.... Saying Google punishes slow sites is cyclical for "I ran out of SEO ideas"
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graphtheory (@graphtheory) reportedIt’s funny to me that people are trying to set boundaries with the evil tankies who want to burn everything down by being like “VPs at banks only make like $200k” You’re talking to a waitress at a gas station who dunning Krugered herself on Reddit, don’t bother, you’re the enemy
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carl (@CarlKingofDucks) reported@greytownbuilder Damn you got that reddit atheist aura down
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BigTrees (@MoreBigFish) reported@EricBalchunas @1xNotSure The reason is that over the last 12 yrs there have been many hundreds of thousands of tweets, reddit posts, articles, hit pieces, books and podcasts, all to give you the opinion you have about the man. Some ask why so much effort has been made to take him down - and see a story.
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FINTECH.TV (@FINTECHTVglobal) reportedToday's @NYSE Notables with @JD_Durkin: 🟢 Reddit $RDDT +9.31% bouncing back on institutional accumulation after its S&P 500 addition, still down 33% year to date
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Harshal (@harshal_lfc) reported@Chikudi_US Also, according to reddit rumours they already had issues from 2nd or 3rd month itself. Plus, early months in marriage is mostly lovey dovey after which people show their true colours if they are hiding something
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Laqpiku (@laqpiku) reported@BAcct8 @coinjoined @NeoxaPortal Also the reddit post was by them. They shought to destroy the only place they traded at because 1) Wrong ticker in their mind 2nd) They didnt like the price when market kept slashing it down.
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T.M (@tactmedic52) reported@letsgetfecal That wasn't at all what the issue was and I don't think you understand what Reddit means. Genuinely far worse of a game outside of the abysmal dog **** firearm customisation they put into that game.
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Nehkog Grips (@h03gap) reported@kepilar77 Now you deny it. That's something you Protestant atheists say when you're not exposing problems in the Bible. My definition is better; your definition is Reddit.
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Rhonda S (@Smeetsya) reported@s4intfelina That's the problem. Men hate women, but women hate women too. I'll bet 90% of these snark reddit are women.
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Elle's Tenacious Library 🧬🔬 (@DefAMustRead) reported@SirWins67879341 @crochet_mom314 @thepeaklady I often describe women as falling into one of three categories - TikTok, Twitter, and Reddit. You want a reddit (although I haven't been there in about a year; I hope it's not now terrible like everything else)
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Elsyee (@encore_elsyee) reportedYou get down voted heavily on Reddit to this day if your dare to use an emoji
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CmdrDevonKramer (@DevonLH_VT_) reportedBefore I go to bed tonight I need some rest. Dana's systems are an absolute good. They find bots. They find problems. They find Reddit headaches. They find everything. Dana's systems find all the problems. If you are stupid enough to say something purely threatening and toxic to me, expect to be removed. I do not care who you are. If you are one of these people you get punished, and for the right reasons. I do not reward stupidity!
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liquidated (Dev Arc) (@liquidated0x) reported@pfernan95dev distribution is your whole bottleneck fr. most agencies are just dashboards with extra steps been down this road, the agents that can push reddit and seo content without a dashboard barely exist yet. you might be onto something
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Tech With Matteo (@TechWithMatteo) reported@lukmanAufbau honestly with GeoCam i found real users just by answering old reddit threads where people were already complaining about the exact problem, way better than guessing where my audience hangs out.
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Carnelian🇺🇸🦖 (@carnelianpagan) reported@HazelAppleyard Surely he knows what a **** looks like, considering he has one. They don't all look the same but it's pretty close. Unless he's never looked down? That post is a whole can of worms. Dude need serious therapy, not reddit troons.
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Vit from joinrecall.com (@vitverb) reported@HeyAliux reddit, but only when the problem is already specific. one detailed reply in a niche sub brought us more beta users than a week of posting on X.
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🏳️⚧️ R.I.P. LYDIATÁR (@volkmardeadguy) reported@slimesphere @penis_beast The monetization isn't even bad, my issue is their ****** mod manager is cheeks and the actual dev of it replies to every reddit thread saying "its just an issue on your machine not the app"
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RicciTeTroll (@trolltom02) reportedI feel something this morning, just left a thesis on FOMO under @snoofi_RH 's $snoofi reddit stock coin pair. "ok listen, I am desperately trying to find the reddit stock pairs that could run. So far I have narrowed it down to 2: snoofi, the literal logo of reddit (and a token that got massive bid back in the days) and chud on long, which is something redditors can definitely resonate with"
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John (@hello_code_) reported@rcmisk matches what I've seen, the backlink is the actual product, the launch day traffic is just a nice side effect nobody plans around. reddit threads where people already describe the problem convert way better than PH upvote traffic ever did
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Dice (@builtbydice) reported@MSiekmoeller reddit is ridiculously good for finding people with the exact problem you’re solving
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Anglo-Distributist 🇻🇦 (@Catholic_Briton) reported@CrewkerneMan Argue like you're left-wing 1. Pretend not to understand the point, no matter how obvious 2. Make your opponent waste time explaining obvious things so they can't move on 3. Equivocate, equivocate, equivocate 4. Make a reddit-tier gotcha & sit down like you won the argument
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rai ˖᯽ ݁˖ (@raionxsu) reported@jonschxyz @FatiTheDream Hmmm I haven’t tried that before. I say give it a go and hunt down if anyone’s tried it on Reddit
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Alek Asaduryan (@Ldnbox) reportedYesterday I had a really interesting call with a potential client. They run 3 brands in completely different verticals, but all three use basically the same business model. And they have the same problem: Reddit absolutely hates them. Search any of their brand names + Reddit and you’ll find thread after thread about: -Refunds people couldn’t get -Products looking nothing like the ads -Poor quality -Bad customer support It’s gotten so bad that they’re potentially losing millions across the 3 brands because people do their due diligence before buying, find these threads, and walk away. But here’s where it gets even more interesting. That reputation isn’t staying on Reddit anymore. Ask an LLM whether one of these brands is legit or worth buying from, and many of those same complaints become part of the answer. Of course, they wanted help fixing their Reddit presence. I told them I can help, but only AFTER they fix the underlying problems. I can build a branded account, create and grow a subreddit, monitor mentions, participate in relevant communities, and respond to complaints. But none of that matters if the product is still bad and customers still can’t get refunds. You can’t Reddit-market your way out of a broken product. If they fix those problems, though, Reddit becomes an opportunity. Their official account can go back to old complaint threads and say: “We heard you. X, Y and Z have been fixed. If you’re still having an issue, DM us and we’ll help.” That’s infinitely more powerful than trying to bury negative threads with manufactured positivity. If Reddit sentiment around your brand is terrible, don’t start with Reddit marketing. Fix the reason Reddit hates you first. Then show up and prove that you listened. PS. The image is just an example. Now imagine your brand name appearing over and over in communities like this.
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GODFOE UNIVERSE (@GODFOE_UNIVERSE) reportedThis tired 20th century psychoanalysis is just laughable. These “weak people” escaped slavery, crossed the desert, conquered a foreign land for hundreds of years, and kept the documents about it; preserving their identity so well against the Assyrians and Romans you’re still mad about them today. Now tell me, which angle of Jew-sperging are we taking here? Is it “Christianity is a Jewish religion”? If so, that religion conquered the gods of Homer and the lands of Odin, just not entirely the way poor ol’ Nietzsche liked with his made up system of beliefs that magically served what he liked and condemned what he didn’t like. The problem you’ll have with Nietzsche is the same he had with himself, there’s no means to ground his ideas of morality so they drift off into Reddit levels of cope. You don’t have to like Israel dude, but at least bring something other than ideas that were laughable over a century ago.