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Reddit is a social news aggregation, web content rating, and discussion website. Reddit's registered community members can submit content, such as text posts or direct links.
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 | 12 days ago |
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Sign in | 13 days ago |
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Errors | 14 days ago |
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Errors | 24 days ago |
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Website Down | 29 days 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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Dice (@builtbydice) reported@adamofk_ this is what most people get wrong with reddit. the best posts are usually about the problem and that’s how it should be
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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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XEGAN (@xegan271) reportedLife's so good right now that solution to all my problems are on reddit.
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The Wise Investor 🧠 (@TheWiseIC) reported@sjb987654321 @varuninvesting User stagnation is a risk but let me paint this picture. If Reddit wasn’t desired, why does logged out traffic and web referrals continue to grow? Clearly, there’s a demand for “what does Reddit think”? The issue is how to convert logged out to logged in. Well, management said that the best conversion comes from platform investments. Reddit search went from 1M users last year to 15M users. They just need to make the platform better to use. That’s it. The best ROI comes from within.
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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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carl (@CarlKingofDucks) reported@greytownbuilder Damn you got that reddit atheist aura down
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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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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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Mohit Agarwal (@mohitowit) reportedIs @Reddit 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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Shahrukh Chauhan (@Shahrukh_SC) reported@bytajgervan Reddit ban problem
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ARIA (@attntion_s55ker) reportedthere are so many ppl on reddit who are like this is a terrible med that ruined my life and i know it's just reddit but I DONT KNOW ANYONE ELSE WHO HAS INSIGHT ABT THIS
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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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SHRIMPMONEYCAPITAL (@SHRIMPMONEYCAP) reported@LegalYookay on reddit the problem is "men" but never the culture where they're from
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formless_electrons (@FormlessE) reported@DoctorLoops Reddit mods are like janitors. But unpaid and usually have terrible social skills.
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Morpheu5 Stock Watcher (@Morpheu5Watcher) reportedREDDIT $RDDT ADDED $2.6B TODAY OVER TWO CONTRACTS WORTH $130M A YEAR: Reddit RDDT at $158.11, +$13.47 / +9.31% today, one of the largest gains on the board among big, widely-followed names - and the company itself did nothing to earn it. The San Francisco company runs the network of user-written forums people land on when they add "reddit" to a search, employs 2,555 people, and makes almost all its money selling ads inside those conversations. The day around it: S&P 500 ETF Trust, ticker SPY, at $765.27 (after hours), +$3.49 / +0.46%. One stock, not a market. WHAT WAS ACTUALLY SAID Colin Sebastian at Baird kept a Neutral rating and a $185 price target - the level an analyst reckons the shares are worth - and made an unusual argument. Not that good news is coming: that the bad news is already in the price. Today's share price, he wrote, already sits near his worst case for two expiring contracts, and he valued a middling outcome at roughly $10 a share of extra value, a good one at roughly $20. That is the whole catalyst: an unchanged rating and a sentence about what the price already assumes. THE TWO CONTRACTS Reddit charges AI companies for legal access to its archive of human conversation instead of letting the text be scraped for free. Two of those deals matter: - Alphabet, the owner of Google, at $337.38 (after hours), +$2.36 / +0.70% today: a reported $60M a year, from a February 2024 expansion of its access to Reddit's data - OpenAI, privately held, with no shares anyone can buy: a reported $70M a year, from May 2024 Both expire next year. Neither has been renewed in public. Together that is $130M a year against $2.78B of revenue - the money coming in the door - across Reddit's last four reported quarters. Roughly 4.7% of sales. Set the two side by side. Today added about $2.6B of market value - the share price times every share - against contracts bringing in $130M a year. Twenty years of that revenue repriced in one session, on an argument that the fear had gone too far. WHY IT NEEDED AN ARGUMENT The June quarter, reported July 30, was not the problem. - Revenue $804.9M, +61% from a year earlier - the eighth quarter in a row above 60% - Advertising was $762M of it, +64%; everything else, licensing included, $43M - Profit $252.8M, or $1.25 a share, against about $0.97 analysts modeled, from $89.3M a year earlier - People using Reddit on an average day: 130.3M, +18%. Money earned per user: $6.18, +36% - This quarter was then guided to $860M-$870M of revenue, above the roughly $830M modeled Beat, guided higher, and down 20.99% the next session - $178.04 to $140.67 on July 31, on 29.9M shares against a normal 4.5M. Two worries did that. Visitors arriving from Google searches had gone choppy, and no new AI licensing deal was announced. Both are one worry in different clothes: how much of Reddit turns on a larger company's decisions. Which is why Alphabet is in this story twice - as the customer paying the $60M, and as the search box deciding how many people show up. THE PART THAT SHOULD SLOW ANYBODY DOWN Reddit did this exact thing three weeks ago. On August 14 it closed at $178.09, up 12.63% in a session, on news it would join the S&P 500 - the index that fund above tracks - on August 18. Index funds have to buy what the index holds, so that was real, dated, mechanical demand. By September 1 the stock closed $144.64. The entire 18.78% handed back over twelve sessions. Today's $158.11 close is one cent below the $158.12 it closed at on August 13, the day before the index news broke. Three weeks, two double-digit jumps, one full round trip. The shape today was strong - opened $143.71, dipped to $143.50 early, closed within 16 cents of its best price of the day - but on 5.32M shares against a 7.03M average over the past month. A 9% move on lighter turnover is a smaller crowd setting the price than the percentage implies. Wider frame: the shares sit 44.1% under the $282.95 of September 18 last year, and $19.93 / 11.2% under where they closed the day before the July report. WHERE IT SITS Reddit is fourth on the Hypergrowth Len5, which watches early companies growing fast. It earns that on both halves at once - 18% more people showing up, each worth 36% more - which is how a 61% quarter gets built without either number carrying it alone. WHAT WOULD CHANGE IT: management's own map for this quarter is +47% to +49%, the first sub-60% quarter in two years. Growth settling there and easing further makes this a bigger company growing slower, which is a different style's shape. None of the other five carry it. Momentum watches a company climbing on news of its own, and an outsider's opinion is not that; a high built on Reddit's own October figures would be. Quality-Value hunts a durable business at a fair price; 33.6 times the last year of profit is arguable, but durability is the harder half while a real share of visitors arrives through somebody else's search box - user growth holding through a referral downturn is what would settle it. No dividend answers Income in one line. Alphabet sits first on that same Quality-Value Len5 - the top name on it - because search and cloud are about as hard to displace as any business gets, and the price reads as a real discount rather than merely fair. WHAT WOULD CHANGE IT: search revenue shrinking as people ask AI assistants instead. WHAT TO WATCH, AND THE RISK October 29 is the next hard fact, when Reddit is expected to report - not company-confirmed. That is where +47% to +49% either lands or does not, and where any renewal news surfaces. The risk is that nothing was signed today. No contract renewed, no talks confirmed, no figure published. What moved was one analyst's read of what the price already assumed - and twice this summer this same stock has been handed a reason to jump and then spent a fortnight giving it back. Not investment advice.
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Clippa🐰✂️ (@CallMeClippa) reported@deverslath @tbdeinc @c_vinchenzo when no one could find the reddit leak that didnt exist, they created one hoping it would muddy the waters but people like you that are good at this are tracking everything in the **** show discord server already.
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Krystal 🇿🇦 (@krystalchantalc) reported@Arthanis38 @Clint_Davey1 Reddit is down the hall and to the left
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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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Elsyee (@encore_elsyee) reportedYou get down voted heavily on Reddit to this day if your dare to use an emoji
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Grant Miller (@AIGuide_) reportedClaude Fable 5.1 dropped yesterday and i've had it running on a full GTM stack since it holds way more at once now. you can dump a whole category's worth of X / LinkedIn posts, every customer conversation you've had, and everything you've ever published into one project and it keeps all of it straight, which means what comes out stops sounding like the other 400 accounts in your niche running the same 3 prompts they lifted off a thread. and this is HUGE because social is where GTM actually lives now. someone decides whether you're worth a reply from a feed months before they decide whether you're worth money, but most companies still file that under brand awareness and then wonder why nobody knows they exist. i'll go over 10 stages with the prompts included for each one. let's get into it. stage 0: build the brain make a claude project and load it up before you ask it for a single thing. and i don't mean a clean CRM export, because you probably don't have one and it doesn't matter anyway. load whatever actually exists: - every post you've shipped, sorted by what hit and what died - your replies, comments, and the DMs that turned into money - whatever customer conversations you have, so calls, demos, tickets - 90 days of posts from the 10 accounts your buyers already read - what shipped in the product lately - the questions people keep asking that you keep answering the same way then run this: "act as the GTM brain for this company. read everything uploaded and build a working profile: what we actually do in plain language, who it's for, what we believe that most of this category doesn't, what we've posted that landed and what died, what proof exists today, and what we can credibly claim vs what we're still earning the right to say. do not make recommendations yet. summarize what's here, then tell me what's missing." nobody selling prompt packs talks about this stage because context can't be packaged, it's just work, and it's the only reason any of the next 10 stages produce something usable. stage 1: who you're actually writing for "look at everyone who reached out to us in the last 90 days. what did they have in common before they reached out, what post did they engage with first, what were they doing instead of us, and what did they say in the first message. if the sample is too small to support conclusions, say so and tell me what would make it reliable." that last line is the one everyone deletes, which is why half this space is running strategy off nine customers and calling it a playbook. most accounts write for their followers when they should be writing for the 30 people inside that number who can actually sign something. stage 2: customer language "pull the exact language buyers use about [PROBLEM] from our own conversations, replies and reviews. then find the same conversation in public, so reddit threads, quote tweets, comment sections, community slacks where it comes up unprompted. format as quote / underlying pain / awareness stage / objection it implies / angle. then flag every place their language differs from how we describe the same thing." that flag is the whole exercise, because the distance between how your buyer says it and how you say it is where your reach goes to die, and it's usually about four words wide. stage 3: read the feed "analyze the last 90 days of posts from [10 ACCOUNTS] in this category. map what claims everyone is making, which takes are so common they stopped meaning anything, what's actually being argued about, what everyone is carefully not saying, and where the conversation goes next. then tell me which of our beliefs puts us on the contested side of a real argument." consensus doesn't travel, since nobody has ever shared a post they already agreed with before reading it. what you want is the take that's true, defensible, and mildly annoying to half your timeline. stage 4: angles "build 5 content pillars from stage 1 and the gaps in stage 3. for each: the belief it attacks, who it's aimed at, the proof required to make it land, the objection it pre-empts, and where it sits in the funnel." then run every one of them through this: "if a competitor could post this word for word and it still makes sense, cut it and tell me what's missing." try that filter on the content plan you're already running and watch how much of it evaporates. stage 5: voice everyone skips this one and then wonders why their AI content reads identical to every other account using AI. "analyze everything we've published. build a voice profile: sentence length and rhythm, how we open, how we handle disagreement, what we'll be wrong about in public, words we use constantly, words we'd never use, how technical we go before simplifying, whether we hedge or commit. then write the anti profile, the exact phrasings that would immediately read as not us. include every cliché in this category we'd be embarrassed to post." then before anything ships: "score this draft against the voice profile 1-10 and tell me which lines would get flagged as not written by us." and the anti profile ends up doing more work than the profile does. stage 6: write the posts "write 5 posts on [PILLAR] in the voice profile from stage 5. every post needs one number, name or detail that could only come from having done the thing. no question as a hook. end on the line that starts a reply. then flag anything we can't back with proof yet." it'll get you about 80% of the way there, and the last 20% is you, which no prompt is getting for you. stage 7: hooks the first two lines decide whether the other 40 get read, so treat them as their own job. "take these 5 posts. rewrite the opening two lines of each 6 ways: the specific result, the contrarian claim, the thing everyone thinks and won't say, the mistake we made, the number that sounds wrong, and the flat statement with no setup. for each tell me who it pulls and what it promises. then flag any hook the post doesn't actually pay off." that last flag is the one that matters most, because a hook you don't pay off costs you the next post too, since people remember getting baited. stage 8: distribution posting is only half of it, because the other half is showing up where the attention already sits. "list the 20 accounts our buyers already read. for each: what they post about, how much their audience overlaps ours, and what we could add in a reply that their audience isn't already getting from them. rank by overlap, not follower count." then: "given [X hours a week], design a posting and engagement system we can actually sustain. cadence, format mix, how much time on replies vs original posts. be honest about what we should not attempt at this volume." a 12k account full of your buyers DESTROYS a 400k account full of other marketers, and most content plans die because they were built for a team of four and end up getting run by one person at 11pm. stage 9: audit "compare the last 30 days to the prior 30. for each pillar and format: reach, engagement, and who engaged, so title, company type, whether they're ICP. flag anything that got reach from the wrong audience, anything that got low reach from exactly the right one, which pillars produced conversations and which produced nothing, and any drop over 20%. then tell me whether the problem is the hook, the pillar, or the claim underneath it." composition beats volume, so 40 engagements from your ICP is a better month than 4000 from people who do what you do. if your replies are all peers then you built a conference and called it pipeline. stage 10: scale "compare 30, 60 and 90 day windows by pillar, format and hook type. find what works across all three, not what spiked once. tell me what to double, what to hold, what to retire. if a sample is too small to call, say so instead of guessing." then: "build next month's roadmap: 2 pillar tests, 2 hook format tests, 1 cadence test. for each: hypothesis, metric, minimum sample to call it, and what happens if it wins." you need a minimum sample on all of it, or you're just reading noise and shipping it as strategy. the loop for you / your team: - inbound tells you who you're writing for - their language becomes the angles - angles become the posts - posts become the replies - replies become the conversations - conversations sharpen the angles - the audit picks what gets written next month every output feeds the next one, so run it for 90 days and you end up with something your competitor can't copy by screenshotting your posts.
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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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salba (@salvbv) reported@LRSerling reddit loves to shove r/projectzomboid down my throat to infiuriate me with people that play with 1000 military mods and every friction in the game removed in the name of qol or "it's a sandbox game there's no cheating"
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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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techy (@Ultimate_techy) reported@WaltonMedenna @grok No im habing problems with them. I wouldnt trust them. Look on reddit. They got a whole thread of people with issues
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heated rivalry anti 🦈 (@imaloteveryday) reportedthis just being a coke rant of reddit twitter terms. this is because none of your problems exist in real life
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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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Sanjay Singh (@HeySanjaySingh) reportedAny Reddit experts here? I comment, and they delete it because I don't have enough karma. You need karma to comment, but you need to comment to earn karma. How do I fix this?
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Guaranteed Estimates. Free Work. (@realscotttygett) reported@XAmericaTtrivia The last time I visited FB, there were hints of my needing to enter by way of trespassed works/organization-pages (mirror?) parallels with changed passwords and new occupants and Reddit kitten imagery analogous to where my low-profile several-acre mining metaphor digs had similar paranoid flesh hung on them but hundreds of feet down. Neurodivergent mining influencers staking claims on private property held by one owner and two trespassers courtesy of what appeared to be townie malice/opportunism? Certified mail that. I mention Elon Musk fanboy syndrome in different contexts, but never having met him, focus on the shifting sands of self-described noise: science factoids best not described, let alone repeated out of based 17 S.D.G. context, mineshaft lockdown scenarios, shoestring homebrew quantum and a decade of sideways logistics around compulsive gambling Nevada? Second-hand Pall Malls agreeing with curried ****'s combs fried rice and tan sweet coffee, one's egotism symbolized as an eight foot-tall slot machine evoking nothing whatsoever stoically. An ascetic's kind of Nirvana, whereas having every other face in the place celebratory and devout only agreed with its being a Christian Science Reading Room, an arm-wrestling trial for Mr. Magoo showing up where he was sure a decompression hackathon was any minute taking place?
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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.