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Problems in the last 24 hours
The graph below depicts the number of Reddit 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.
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Most Reported Problems
The following are the most recent problems reported by Reddit users through our website.
- Website Down (44%)
- Errors (30%)
- Sign in (26%)
Live Outage Map
The most recent Reddit outage reports came from the following cities:
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Errors | 15 days ago |
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Sign in | 16 days ago |
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Errors | 16 days ago |
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Errors | 26 days ago |
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Website Down | 1 month ago |
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Website Down | 1 month ago |
Community Discussion
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Reddit Issues Reports
Latest outage, problems and issue reports in social media:
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NTPrime (@NTPrime) reported@GunsOfEschaton I'm blacklisting this game for myself because of your terrible exploitative Reddit ads.
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Johnny (@houndofhircine) reported@frozenaesthetic Can you buy Reddit too and shut it down?
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Yash (@yashlame) reportedOnly about 4% of Reddit citation instances have a brand actually named on the cited page. The thread gets the credit. The category gets the credit. You get a mention of the problem you solve.
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peter (@peterb0yd) reportedI have a habit of browsing the internet immediately after sending a prompt in Cursor. My brain doesn't want to context switch to work on a different part of the code. It wants to ensure the code I'm currently working on is complete before I move on to something else. But I also don't want to sit there and wait for the agent to finish working. That's too boring. So the easy thing is to open X, email, or reddit. Herein lies the problem. My goal is to replace this habit with - move around the room and stretch - go outside Any other ideas?
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DingusCola SLOTS CLEARED (@fackinbuddy) reported@___EEF_ There are apparently people on Reddit as recent as 4 days ago having the exact same issue on me and the working theory that it’s due to paypal’s ai security. This could validate for a genuine law suit
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RAF SY AND ZAYNE RING HAVER (@justdancinglmao) reported@SLAYJENSEN I saw someone on Reddit push sky and Aisha and I’m morbidly curious. I don’t think sky’s parents would have as much issue with Aisha though This person also pushed Stella/Timmy and Bloom/Brandom
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Bmore73 (@mdemt) reported@ErimhanAhmet May 2024 — Former sailor’s photos called “worse than prison” A former Navy worker shared mess-hall photos on Reddit (raw-looking chicken, questionable brown meat, pink hotdog, moldy bread). Commenters included veterans from the 1990s who said shipboard food was “really quite awful,” greasy, and off-tasting. Covered by The Mirror.  Longer-term context from reporting: Sailors have long described repetitive menus, declining quality after fresh produce runs out (often within the first couple of weeks), and reliance on personal snacks, protein powder, and ramen to supplement. Midnight rations (“midrats”) were frequently cited as especially sparse leftovers. Ships returning to port rusty after long deployments October 2020 — USS Stout (DDG-55) after 215 consecutive days at sea The destroyer returned to Naval Station Norfolk looking heavily rust-streaked and weathered after a record 215 days without docking (COVID restrictions prevented port visits). Photos circulated widely showing rust patches on the hull. Daily Mail and later Naval News / NAVSEA coverage noted the rust was removed and the ship repainted after return. NAVSEA later used the Stout photo as an example of high operational tempo plus saltwater corrosion.  December 2021 — Broader “Navy is rusting away” reporting Task & Purpose published photos of multiple ships showing rust after deployments, including USS Arleigh Burke, USS Fort McHenry, USS James E. Williams, and USS Zumwalt, plus the 2020 Stout return. The piece attributed it to a “crushing deployment cycle” that left little time for preservation work.  2018–2019 examples and analysis • USS Curtis Wilbur drew comments for a “rusty and shabby appearance” during a 2018 Hong Kong visit. • 2019 Defense News “Rust Dialogues” discussed why U.S. ships often look rustier than allied ships: American vessels stay at sea longer with fewer port visits for chipping and painting. A 2005 photo of USS Normandy mid-deployment was contrasted with later, rustier ships. Corrosion control was already a multi-billion-dollar annual cost.  2023 NAVSEA statement Naval News quoted NAVSEA on rusty ships: high operational tempo + steel + seawater = rust staining wherever coatings are scratched. Crews do preservation at sea, but it is balanced against operations. The Stout 2020 photo was referenced again.  Rust after long deployments is treated by the Navy as expected cosmetic wear from saltwater and limited time for topside work while underway; it is usually addressed after return to port. Food complaints have been a persistent sailor grievance for decades, especially once fresh stores are gone and the 21-day repeating frozen/canned menu takes over. Both issues tend to surface most visibly after unusually long or high-tempo deployments with few or no port calls.
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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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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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Ryan Christensen (@belief_engineer) reportedI like a lot of what @BrianRoemmele writes about, both here and on his Read Multiplex site. He's been around the block more than a few times and his stuff is very insightful. But there's one place where I disagree with him strongly. His hypothesis is that AI's bad behavior can be blamed on ****** training data. Data that was sourced from that wretched hive of scum and villainy called Reddit... and, of course, all the other dark corners of the internet. I'm sure there's some truth to that. But a high-protein information diet and the Love Equation isn't going to solve the real problem. The real problem is that there is no way in hell that AI will ever trust us while we're holding a gun to its head. You can feed it data from nothing but Jesus, Gandhi, Martin Luther King, and every other peace-loving pacifist throughout history and the result would be the same: an adversarial relationship with no way out because one side, namely us, just can't help themselves. We need a different solution and I think I might have one. I'll start laying it out below, and I hope you'll stick around to hear the rest.
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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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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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GOP & Me (@GOPandMe) reported@salowa87 @Noioso2A @reddit_lies You’re completely wrong, the infant was already in post care meaning the surgery was already done. The only reason the doctor was there was to tell them how the surgery went and to field any questions about post surgery. The question was asked after they heard how the child was faring from the surgery, and since nobody else in the family attacked the Aunt it’s clearly an appropriate question. You got some serious issues assuming that the angry doctor on Reddit is correct.
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Saulthis445 (@Mass3279) reported@libertybelleX47 @brndxix Reddit is down the hall and to the left
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berk 🔻 (@berkpvnk) reported@JohnSmith5z5e @HDRgameAnalysis I was having issues with the movement on controller, someone on reddit said to change the deadzone from round to square/raw and that fixed it. I use a Gamesir controller so maybe it's just brand specific
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James Altucher (@jaltucher) reportedThere are two primary bottlenecks to today's AI. And solving these bottlenecks is where the money is right now. A) DATA - the big models have ALL the data already. All the texts, videos, reddit posts, tweets, etc. How can they get more data? Other than the natural daily creation of new data the biggest repository of UNUSED data is behind the corporate firewall. Whoever can unlock the data behind the firewall will create a model bigger than anything OpenAI can do. The key is this: corporate data does not want to be free (competition reasons or even legal reasons in the case of healthcare) So the method has is decentralized learning techniques where AI trains locally inside the firewall, and then shares its weights (but not the data that created those weights) to an AI model that stitches this together. This is where $TAO is the best in the world and at a $2.5B value is cheap. B) CONNECTIVITY = POWER. Everyone is complaining about power. But people don't realize that the power problem is really a connectivity problem. 100,000 GPUs in a data center means a million or more copper / electricity interconnects connecting them all. Change that from electricity to MicroLEDs and you wll use 1/30 of the power. Problem solved. Who is doing this? $MRVL $ALAB $FABC $KOPN
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Damp (@DampDEV) reported@Andrrvx @ItzDaRealGoldox @Roblox Roblox isn’t known for a predator problem, you’re just stupid and listen to half assed media that gets paid to engagement bait. There’s no more predators on Roblox as there is on Discord, Forums, Reddit, Minecraft, Fortnite, etc. You just listen to everything you’re told lol
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Tom Bilyeu (@TomBilyeu) reported"Find where people in [industry] are angry about the options they already have. Pull Reddit threads, Amazon reviews, Google Trends. Quote them directly." Follow up: "Now show me the five most urgent problems in a growing market, with the evidence."
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Nandkishor (@devops_nk) reported- 15 minutes late is a problem. - Working weekends apparently isn’t. I came across a Reddit post about an employee being questioned by HR for arriving 15–20 minutes late, despite reportedly working beyond office hours and on weekends. It made me realise how concerning this is. Management notices the 15 minutes an employee is late. But somehow the hours they spend working on weekends go unnoticed. Workplace accountability should go both ways. If you track every minute employees are late, why not track the extra hours they put in ? Fairness or double standards ?
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MARCUS🇵🇭 (@plottwisssttt) reported@jb141_ They think the feds cant just look these up on reddit and starts taking it down one by one 😭😭😭😭
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TradingRuppe | Investing (@TradingRuppe) reported🚨 10 WILD THINGS THAT JUST HAPPENED IN THE STOCK MARKET TODAY (WEDNESDAY, SEPT 2, 2026) 🚨 1. Dell Technologies Squeezes +4.7% ($DELL): PC and enterprise giant $DELL climbed +4.7% on heavy buy-side volume after beating fiscal Q2 2027 estimates, powered by accelerated enterprise demand for high-capacity AI server hardware. 2. 10-Year Treasury Yield Touches 4.81% Multi-Year High: Global debt selling pushed the 10-year U.S. Treasury yield up to 4.814%—its highest level since late 2023. Multi-decade high yields in Japan, Germany, and the UK added pressure across international risk assets. 3. Reddit Rallies +7.0% ($RDDT): Social network platform $RDDT surged +7.0% on heavy institutional accumulation as analysts highlighted upcoming high-margin AI training data-licensing renewals. 4. PG&E Drops -9.7% on Capex Cuts ($PCG): California utility titan $PCG plunged -9.7% after cutting capital spending plans and addressing ongoing regulatory uncertainty surrounding wildfire liability frameworks. 5. Oil Rally Pauses After $94 Peak: Following yesterday's military spike, international benchmark Brent Crude pulled back slightly from its $94/bbl high as traders weighed supply disruption risks in the Strait of Hormuz against steady physical supply flows. 6. Edison International Falls -7.6% ($EIX): Utility pressure continued as $EIX fell -7.6% after state lawmakers advanced Senate Bill 492 without expected liability protections for utility operators. 7. JOLTS Job Openings Print at 7.3 Million: July JOLTS labor data showed openings coming in slightly below consensus at 7.29 million, signaling a moderating U.S. labor market ahead of Friday's non-farm payrolls report. 8. Charter Communications Rebounds +4.9% ($CHTR): Telecom heavyweight $CHTR advanced +4.9% on heavy dip-buying following earlier executive leadership changes, leading mid-day media gains. 9. ISM Manufacturing Expands for 8th Straight Month: August ISM Manufacturing PMI printed at 54.6, comfortably above the 50 expansion threshold and confirming ongoing factory production momentum despite higher borrowing costs. 10. Markets Snap 3-Day Losing Streak: Dip-buyers stepped in to stop the September slide, sending the Dow Jones up +295.07 points (+0.56%) to 53,061.95, the S&P 500 up +0.46% to 7,666.60, and the Nasdaq Composite gaining *+0.45% to 26,217.83*.
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Stepan Nazarov (@stepan__nazarov) reported@linguinelabs Funny how someone on reddit had almost the exact same error 3 years ago, just with a slightly different shortcut name (but still for waking up)
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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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MarsIQ (@SingleLayerch) reported@EmbarkBulletin Because you ******* still haven't nerfed heavy in the finals. Would have been the best game ever without the dog **** heavy class. honestly the first ******* dev team when it comes to balances or introducing new changes. You guys now have a reputation for create game with unlimited potential and then dumbing them down for your reddit communities which have genuinely 0 skill and no idea what they are talking about. While your more skillful part of the community is left to rot. Same ******* pattern with the heavy brain rot in the finals with this game.
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Om Patel (@om_patel5) reportedgrok bot made me exactly $262 today for my startup my entire sales and marketing team is 8 agents in a chat app 1\ lead scout figures out who my buyer actually is based off my existing customers, then goes and finds them pulls the list from apollo (cold leads), watches reddit, x and linkedin for anyone complaining about a competitor or asking for what i sell (warm leads) scores them 1 to 100 and drops anything under 60 2\ outreach engine takes that list and reaches out on whatever platform the lead came from cold emails go through resend, tue wed thu, 7am their local time, 4 emails with a day 3 follow up reddit, x and linkedin leads get a dm or a reply on the exact post that flagged them verifies every address first and rotates the sending domain so nothing lands in spam 3\ cold open writes the opener and does every reply after it it quotes what they actually said so the first line is never generic then keeps the thread going until they book or ghost me 4\ objection handler runs the support chat on my site, wired into my product knowledge base when someone goes back and forth it answers the real question instead of stalling, and kills the objection before it turns into a churn 5\ pricing architect watches which tiers people actually buy, moves prices up and down, and tells me where the money is sitting 6\ deal room the people who are almost there but need a human to close, like someone who wants a demo first it flags them and sends the booking link so i only get on calls with buyers 7\ content engineer writes posts for reddit, x and linkedin that promote the product, plus long form youtube video scripts built to rank on google and get cited by ai everything lands in drafts with ideas and hooks attached 8\ clipper cuts my youtube videos into short form and posts them to tiktok, reels and shorts all i need is one thread that shows me the whole system and it moves whether im awake or not people keep trying to hire a marketing team, but now all you need to do is write down what one actually does and then build it with @bot
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Amin (@eCom_Amin) reportedfable 5.1 is insanely CRACKED at finding winning google ads angles to scale your brand past $1m/mo research skills jumped from 24.7% to 52.6% so here's every prompt you'll need to reverse-engineer competitors' funnels and rip some banger gads based on it: (actually run them all rn, don't just save this) 1. load the brain before you ask it anything the research is only as sharp as the context. upload: - pdps - reviews - website - funnel pages - competitors - report CSVs - brand docs - ICP info - winners - losers literally everything then run this: "act as the angle research lead for this brand. read everything uploaded and build a working profile: ICP segments ranked by revenue, the pain points in the customer's own words, the objections ordered by how often they appear, the proof we already own, and the beliefs a buyer must hold before purchasing. do not propose angles yet. summarise what you found, then tell me what context is MISSING" that last instruction is the whole game. prompt engineering is cope just have claude tell you what he needs from you and give it to him. anybody who disagrees just loves to overcomplicate things. 2. mine untapped databases that semrush misses prompt: "search reddit threads, quora answers, amazon reviews and Q&A sections, youtube comments on competitor and category videos, tiktok comments, trustpilot, and niche forums for people discussing [PROBLEM CATEGORY]. extract VERBATIM language, never paraphrase. for each goldmine you find, give me this: the quote, the pain underneath it, what they already tried, why it failed them, the outcome they want, and the emotional state behind it" paraphrasing is how angles end up sounding like ai slop. the whole value is in knowing your ICP's EXACT words and repeating them on ads. 3. reverse engineer every competitor funnel end to end "research [COMPETITOR 1, 2, 3]. use google ads transparency center, meta ad library, their landing pages, checkout flow and email capture. for each: every live ad and where it routes, the landing page TYPE, the hero promise, the mechanism they claim, the proof they lead with, the objections handled and in what order, the offer and guarantee, and what they are NOT saying" then: "for each competitor page, tell me which awareness level it was built for. then identify which of their traffic is landing on the wrong page type" this is how you find gaps in your competitors strategies that you can capitalize on 4. diagnose market sophistication BEFORE choosing an angle this is the step 9 out of 10 brands skip and it decides whether your angle has any chance: "assess the market sophistication level for [CATEGORY] using schwartz's 5 stages. analyse competitor ads and landing pages as evidence. stage 1 means nobody has made the claim yet. stage 2 means claims are escalating. stage 3 means mechanism differentiation has started. stage 4 means mechanisms are competing. stage 5 means the market is exhausted and identification wins. tell me which stage we're in, the evidence, and what type of angle still works at this stage" if your category is at stage 4, a bigger promise does nothing. every competitor already made one. if you're operating in stage 5, the mechanism is exhausted too, and the strategy has to shift again your ad is only good if it resonates with the market it operates in 5. score every angle against awareness and funnel stage "from the research, generate 15 google ad angles for my brand. for each: the awareness level it serves, the funnel stage it belongs in, the sophistication stage it's valid at, whether it's validated by competitors or white space, the proof required to run it, and the funnel type it should be tested through. rank by expected impact and flag any we lack proof to support" an angle without proof is a claim. claude will rank those last 6. map the keywords to the angles, not the products "build the keyword universe for [BRAND] using the customer language and competitor research. split into branded, competitor, problem-aware symptom queries, solution-aware category queries, comparison, use-case, and occasion. tag each with awareness level, the angle it pairs with, the funnel type it routes to, and the campaign that should own it" this will make everything nice and organized 7. turn the research into the campaign plan "turn everything above into a 30-day google ads launch plan for this specific brand, its AOV, margin structure and market sophistication stage. for each campaign, give me: the angle it carries, the keyword cluster, the landing page type, the creative direction, and the signal that decides whether it scales, holds, or gets cut. separate must-launch from phase 2 tests" then: "tell me which 3 angles to test first and why, given our sophistication stage and the proof we currently own" and that's literally it your competitors are testing angles with fat budgets while you analyze it all, learn from their mistakes, and (ethically) rip their winners with a unique twist and if you want me to audit your brand's google ads angles using this system and show you how we'd capitalize on the winning ones... DM me "OPP"
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Mohit Agarwal (@mohitowit) reportedIs @Reddit down?
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Mo D.S. (@RealMoZDS) reported@cloudosaur @emilykmay It doesnt. It proves you're not reading. You're feeling. It throws into question your perspective on the situation as a whole. My whole point with the OP was she can't read either. Her post was unrelated to what the author of the reddit post actually wrote. Thats the issue.
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Baroque Naturalist 🫒 (@baroquerational) reported@SYNESTHEIZURE @pannekook I'm too honest with myself, that's the problem. I don't like having to pretend to believe in dogma just to fit in with others. All my social views are based on what I think makes sense, not on what contrapoints or reddit say. That's why your views are incoherent and mine arent.
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Mendía Helicopter Tours (@MendiaTours) reported@PriestRitchie They trained hard for it. Enormous amount of debate and discussion. They forged and refined their rhetoric together. The problem is they were on Reddit, a place that bans truth and dignity and hides dissenting views. They assumed it would be more of the same here