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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:
| City | Problem Type | Report Time |
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Errors | 17 days ago |
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Sign in | 18 days ago |
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Errors | 18 days ago |
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Errors | 28 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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finngaalkn 🏳️⚧️🏳️🌈🐺#NEVERTrump#NEVERMAGA (@finngalkn) reported@beardpandaa I’ve been called “theyfab” and I’m a whole *** binary trans man. Some of those comments about trans men having “privilege” meanwhile over on Reddit r/trans has been completely shut down because a trans masc tried to point out underlying transandrophobia and the entire subreddit
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Let 📖: the raven scholar (@f1reheartt) reported@LilyRosey79580 yeah… lol I actually saw two people on reddit who had the same problem as me, but they were luckier, since theirs went back to normal. I think the best would be to do regular backups
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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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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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Mike Sulka (@SulkaMike) reportedWSJ says Gemini 3.8 Flash, internally called Skimaki, could release as soon as today. Google engineers using it inside Jetski reportedly preferred it to Anthropic's Opus in head-to-head coding work. That's an internal opinion, not an independent benchmark, but WSJ reporting it from employees is a pretty substantial upgrade from the X cottage industry leak-account chatter we've had all week. Reddit actually adds an interesting piece to this. People already using 3.7 Flash keep coming back to the same thing: not that it is magically smarter than everything else, but that it is so damn fast. I agree. One developer described building several semi-complex web apps and said watching it work was a “hoot” because of the speed. Another heavy Claude/ChatGPT user said moving to 3.7 gave him “whiplash” because of how quickly it could iterate through coding work. A model that's 95% as good but can take three swings while the expensive model takes one may actually be the better coding model. There are also Reddit posts this morning claiming Gemini is identifying itself as 3.8 Flash even though the model selector still says 3.7. I would ignore those completely as proof. Asking an LLM what model it is remains the AI equivalent of asking a golden retriever who manufactured the dog food. Google's public pages still haven't given us a gemini-3.8-flash endpoint as I write this, so we're not across the finish line yet. But if 3.8 lands and independently backs up the WSJ coding claims, I think the story is pretty simple: Google may be turning latency from a product feature into an intelligence advantage. In agentic coding, the fastest good model gets to make more mistakes. And more importantly, it gets to fix them before the other guy finishes thinking.
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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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Mick Jay (@mickjayofficial) reported@beffjezos Frontier labs have to stop pretraining/training their base models on internet sewage like Reddit (and other biased datasets) which is rife with moral relativism and ends-justify-the-means thinking. Guardrails won’t fix bad base training.
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Ben H (@benh_mecfs) reported@Z3R0Gravitas @JackHadfield14 @Gmwetz Do you mean 1/4-1/3 on the PWM reddit are chronically ill? Apologies if I have misinterpreted that. So yes, that’s when I noticed PWM being an issue, but my severity had become massively worse. I had to have a PWM-free LCD. Interesting the IPS had PWM. They’re usually my go-to!
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carl (@CarlKingofDucks) reported@greytownbuilder Damn you got that reddit atheist aura down
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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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सम्यक সম্যক (@samyak128) reportedAll Indian discourse is a mimicry of American discourse from 10-15 years ago. This means we are now in the era of cringe Reddit adolescent atheism, which is basically people in their 20s projecting their issues against their parents through the internet. But since this is India, there will be no original thought, only mimicry. We even mimic the cringe. We can expect an Indian version of the Aalewis Reddit post from an Indian "professional quote maker" sometime soon
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cinnamon apple (@_______bbyg) reportedI miss the days when @Reddit didn’t force you to down load the app while you’re using Reddit in the internet browser 🙄
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Prakrit (@Misarwaprak) reported@HVSBanwait I said what I observed across x insta,reddit, many jatt Sikhs are rattled not bcse someone won there is a central theme in their issue with this election. They simply can't accept a hindu winning there. For them everything associated with punjab is sikh especially jatt Sikhs.
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Priyanshu Bhati (@buildwithpb) reported@Noise_Frequency @susanabulhawa glitch is huge but calling them barons feels like a stretch. they’re just really good at reddit lore.
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Mαulik (@maulik_5) reportedthere have been so many weird little chapters with my app lately started at $0. got my first $29 payment thought okay... we're doing this! then nothing for weeks visitors dropped signups came in but trials didn't someone literally told me they stopped because onboarding asked for a card too early so i rebuilt things then rebuilt them again landing page onboarding ui/ux performance basically everything i could convince myself was “the problem” at one point a post about my yc application randomly hit 84k views and brought in hundreds of followers and then my next posts went back to being... well, my next posts 😭 reddit got banned too cancelled claude because i knew i was spending too much time building then somehow burned another $20 on ai credits fixing onboarding again and honestly, there were days where i felt like i had absolutely no idea what i was doing especially seeing other founders move so fast while mailient barely moved but that's also when something changed i stopped thinking about how to make mailient look successful and started thinking about how to actually make it work one customer one problem one clear promise one real reason to come back still at $29 still going for $200 mrr still a long way to go but i'm still here building it. DON'T U EVER GIVE UP!
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SHRIMPMONEYCAPITAL (@SHRIMPMONEYCAP) reported@LegalYookay on reddit the problem is "men"
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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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Simmo (@yoursimmo11) reportedStop f*cking adding so much stuff. Honestly. Please. Just stop. Stop stacking. Stop pill popping. Stop reading one more study at 11pm. Stop perusing Reddit and Ray Peat forums at midnight. Stop all of it. Think about it. If any of it actually worked, you'd have stopped by now (and you haven't). Pattern I see after coaching dozens and dozens of 7-and-8 figure execs is that not one was missing something. NOT ONE. Every single one had the opposite problem. Too much interference. Too many pills, too many rules, and way too much stimulus before 9am... all of it standing between his body and the thing it already knows how to do. Trust me on this: You're not under-supplemented. You're over-interfered. Your body doesn't reward effort. It rewards ORDER.
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XEGAN (@xegan271) reportedLife's so good right now that solution to all my problems are on reddit.
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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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orange chainsaws (@westboundsign95) reportedWhy is there just so many bad guides to literally everything and somehow reddit is the one that solves all my problems
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Christian Weibrecht (@ChristianW529) reported@MOakshott1968 @TristinHopper Zero reasonable people actually believe that war between US & Canada is possible Cut down on HOI & Reddit
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Josef Andre (@josefandre_) reported@arthuryuzbashev aight I need to hammer reddit a bit more then. did try for a week but wasn't very successful, most certainly skill issue though
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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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Akari Rini 🌐⭐ (@akaririnii) reported@Necromel211736 i aspire to be as tech savvy as you one day!! random reddit tech problem forums are my savior
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Kordon Rotaract (@RotaractKordon) reportedreddit thread from 2015 just solved a problem I've had for months, bless that random user
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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
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Burnt Toasst (@BurntToasst) reported@Chavez628K @decktech1047 @marceelias Your hurt little fee fees are your problem so can't help you there. But I'm sure it will be a post on reddit that says something like "and then I called him a filthy animal" and end with all of X standing up to clap for you. Regardless, you'll still be a retard.
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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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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.