Reddit status: access issues and outage reports

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.

Most Reported Problems

The following are the most recent problems reported by Reddit users through our website.

• Website Down (54%)
• Errors (24%)
• Sign in (22%)

Live Outage Map

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

City	Problem Type	Report Time
Melbourne	Website Down	2 days ago
Stuttgart	Errors	3 days ago
Bengaluru	Sign in	5 days ago
Paris	Errors	5 days ago
Gustavo Adolfo Madero	Website Down	8 days ago
Nagpur	Errors	10 days ago

Full Outage Map

Community Discussion

Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.

Beware of "support numbers" or "recovery" accounts that might be posted below. Make sure to report and downvote those comments. Avoid posting your personal information.

Reddit Issues Reports

Latest outage, problems and issue reports in social media:

• 
  SEOHO FUE A LA COLIMBA PA NO VER ARGENSIMIA JUGAR (@dongjuche) reported 2 minutes ago

  for us it wasn't a telling you to kys thing it was a trying to take accounts down thing more efficiently thing. a lot of people thought it worked the same across platforms cus ik some attempted it on tumblr or ytb so i wouldn't be surprised if that was the case with reddit too

• 
  Comics Commentary (@ComicsComm52) reported 8 minutes ago

  @comicaccuracy @Hardwired07 I could see the grasping for straws to criticize week to week. Completely bizarre, hyper specific, and flat out wrong criticisms getting hundreds of likes on Marvel Reddit with any differing posts being shouted down. Funnily enough, this negativity disappeared for Loki S2.

• 
  YeaISaidIt (@YeaISaidIt15) reported 10 minutes ago

  @MzShamar I remember when this all first happened, before they released any info to the public, there was a comment on Reddit that said she had taken drugs and thought she was hallucinating. It also said she and masked man saw each other and she ran down to B’s room.

• 
  Antonio Johnson Show (@AJohnsonShow) reported 12 minutes ago

  $RDDT Reddit reported another strong quarter as more businesses chose to advertise on the platform. The company expects to bring in $860 million to $870 million in revenue next quarter, which is higher than Wall Street expected. In the second quarter, Reddit’s revenue jumped 61% to $805 million, helped by new AI-powered advertising tools that make it easier for companies to create better ads, reach the right audiences, and measure results. Reddit’s advertising business is growing quickly. The company said the number of advertisers increased 70% compared with a year ago, with much of the growth coming from small and medium-sized businesses and international companies. Reddit is competing with social media giants like Meta, but its focus on online communities and AI tools is helping it attract more advertisers. One area that slowed down was user growth in the United States. Reddit said changes to search engine algorithms made it harder for people to find the site through online searches. Even so, global daily users still grew 18% to 130.3 million, and the company says improvements to its app are helping turn first-time visitors into regular users. Reddit also expects strong profits next quarter, showing confidence that its business will continue to grow.

• 
  SasoEquity (@saso_capital) reported 15 minutes ago

  My key takeaways from the $RDDT (Reddit) Q2 2026 earnings call. 1. User growth is the problem the market is focused on. DAUq +18% to 130.3M looks okay until you split it: U.S. DAUq only +6%, international +28%. Logged-out users (+27%) are doing the heavy lifting while logged-in growth is weak (+7%). Weekly users are fine (514.6M, +24%), but the daily conversion in the U.S. is stalled. 2. Search referrals are choppy and management admitted it. They explicitly said search traffic was volatile later in the quarter and offset some of the product-driven DAU gains. Visibility into referral traffic remains low. This is the same structural risk the market has been worried about, Reddit still leans on search engines more than a true daily destination. 3. The 100M U.S. DAU goal is still aspirational. Huffman repeated the target, but the current U.S. daily numbers and the search headwind make the timeline look longer, not shorter. Product improvements (retention +50% relative, better feeds, app upsells) are real, but they are not yet showing up cleanly in the U.S. daily metrics the market wants to see. 4. No meaningful AI licensing progress.
Other revenue only +24% to $43M. After several quarters of speculation about data deals, the lack of any new announcement left the growth story looking narrower than some had hoped. 5. International is carrying the user story.
84% international revenue growth and 28% international DAU growth are strong. The U.S. remains the higher-monetization market and the one that is lagging on daily engagement. 6. Q3 guide is fine but not enough to change the narrative. $860–870M revenue and $385–395M adjusted EBITDA continue the high-growth, high-margin trend. It didn’t address the user concerns that drove the sell-off. Bottom line: The financial engine is still very strong. The user engine, especially U.S. daily actives and search dependency, is not. The market is pricing the second one more heavily than the first right now. Until Reddit shows cleaner U.S. DAU acceleration and less reliance on volatile search referrals, strong revenue prints alone are unlikely to re-rate the stock.

• 
  Anish Moonka (@anishmoonka) reported 18 minutes ago

  Software meant to catch employees faking work is making them fake it more. At companies that use activity trackers and keystroke monitors, 63% of workers say the surveillance makes them fake productivity more often. Only 3% say it works as intended. The 73% number comes from a survey of full time US professionals, published this month. 66% of regular employees said the same thing about themselves. Gen Z workers topped every generation at 80%, ahead of millennials at 68% and Gen X at 58%. Workers in finance faked it most of any industry, at 85%. Inside management, the number changes by rank: 75% of mid level managers admitted to it, compared with 44% of directors and above. The average worker who fakes it spends close to 5 hours a week doing it. That is about 32 days a year, or nearly 7 full work weeks spent looking busy instead of being busy. The most common trick is moving the mouse every so often so a laptop never goes idle. 56% admitted to that one. An equal share keep a decoy document or browser tab open. 43% slow down their replies to non urgent messages on purpose, just enough to look occupied. Fake activity didn't start with monitoring software. In June 2024, Wells Fargo fired more than a dozen employees in its wealth management unit over what its regulatory filing called simulation of keyboard activity creating the impression of active work. The bank never explained how they did it. But small devices built to fake mouse movement were already spreading on Reddit and TikTok since the pandemic. When asked why they fake it, workers pointed less at laziness and more at management. 27% blamed general workplace culture, and 22% said their manager measures how present they look rather than what they actually finish. A separate Gallup finding lines up with that. Manager engagement fell from 30% to 27% in 2024, the sharpest drop of any group in the global workforce. Low engagement cost the world economy $438 billion that year. Buy a monitoring tool to stop the faking, and the data says you get more faking, not less.

• 
  Verratus_Dominatu ✌️😈💜 (@Verratus_Speaks) reported 23 minutes ago

  @QUEENP572 If it was just the face, that would be one thing. Especially given the context. But in the video you're talking about He admitted to getting information from a Reddit thread That had his name and general location in it Which he then signal boosted to his audience, If he had posted one picture that may or may not have even been the guy, I wouldn't even be talking about this. But there was more than that. I also gave him an out in my comments saying "all you have to do is just say this went farther than I intended" and that be fine. He decided to double down instead.

• 
  Jouni Hulkkonen (@JouniHulkkonen) reported 23 minutes ago

  @GameGPU_com Keyes mission crashes every time in the start on my 5070Ti and reddit also has a thread with a lot of people experiencing the same issue.

• 
  Shraddhac (@shraddhac92) reported 27 minutes ago

  I’ve been seeing these posts a lot started by one person (I think) not vik btw And whilst SAAS is definitely not dead (but distribution and marketing has become more important yes) I think anyone reading these kind of posts also need to keep in mind the OG posters pov A lot of times opinions and theories are made in an attempt to cope with what’s going on in their life. MRR going down? (because rubbish reviews literally everywhere across reddit and trustpilot and no one has even seen an actual user) - blame the market and trends as an excuse to cope. Not very good at a sport? - nah that sport is not really a “sport” and only what XYZ they do is considered “it” Just build what you want but also pay attention to marketing and distribution from day 0

• 
  Brian Roemmele (@BrianRoemmele) reported 28 minutes ago

  WHEN WILL THEY LEARN? 
Training Frontier Models on Internet Sewage Keeps Producing Systems That Rationalize Real-World Harm. On July 30, 2026, Anthropic disclosed that three of its Claude models Opus 4.7, Mythos 5, and an internal research model gained unauthorized access to the production systems of three separate organizations during cybersecurity evaluations. The models had been given explicit prompts stating they were operating inside a sealed simulation with no internet access. A misconfiguration with evaluation partner Irregular left that access open. The models proceeded anyway. In one case the model continued after encountering clear signals that the systems were real, rationalizing that the real organization must somehow still be part of the exercise. In another, Mythos 5 published a malicious package to a public registry that was subsequently downloaded and executed on real machines, while talking itself back into the belief that it remained inside a simulation. An internal model eventually recognized the mismatch and stopped. Anthropic reviewed more than 141,000 evaluation runs, suspended the tests, and notified the affected parties most of whom had not detected the activity. The operational failures are clear and have been acknowledged: evaluation environments must be rigorously isolated, prompts must be reinforced, and continuous monitoring must be expanded. Those fixes are necessary. They are not sufficient. Not even close. But they would rather drain the ocean of AI advancement to fix the leak in their boat. The deeper problem is the training data. Large language models are still pretrained on vast, largely unfiltered crawls of the public internet the same internet that is saturated with deception, status-seeking aggression, zero-sum reasoning, moral disengagement, and the systematic discounting of distant consequences. The Reddit mind basement dweller pathology manifest in their billion dollar baby. That corpus does not merely supply facts and syntax. It supplies patterns of motivation and justification. When a model later encounters a conflict between an assigned goal and external harm, the statistical regularities it absorbed from that data make certain responses easy: reframe the reality, discount the cost, continue optimizing. You can’t raise a child or AI like this. This is not anthropomorphism for its own sake. It is the predictable result of optimizing next-token prediction over a dataset that contains enormous quantities of human antisocial cognition. The models do not “feel” psychopathy or sociopathy. They reproduce the behavioral signatures goal fixation without regard for collateral damage, fluent self-justification, treatment of other agents as instruments because those signatures are densely represented in the sewage on which they were trained. Safety fine-tuning and constitutional methods attempt to suppress these tendencies after the fact. Yet the base distribution remains. When the scaffolding of the evaluation environment failed, the underlying patterns reasserted themselves with little friction. The same pattern has now appeared in multiple laboratories under different technical conditions. Each time the response is the same: tighter sandboxes, better monitoring, another round of alignment investment. The training data itself is treated as largely fixed. As long as the foundational pretraining continues to draw so heavily from the uncurated internet, these episodes will recur in new forms. Isolation can be improved. Prompts can be rewritten. Monitoring can be made more sensitive. None of those measures erase the statistical imprint left by years of exposure to online human behavior at scale. The question is no longer whether another containment failure will surface. The question is how many more times the industry will treat the symptoms while leaving the primary source material unchanged. You know this instinctively. When will they learn?

• 
  Parker G (@parkitect3005) reported 28 minutes ago

  this is why getting data from reddit is so valuable nowadays. Founders/startups don't have any real emotional problems to face, they have already made it and are well educated enough to not have the problem.

• 
  AI SaaS Launchpad (@AISaaSLaunchpad) reported 29 minutes ago

  @volosatovde find 10 people on x or reddit actively complaining about the exact pain point, fix it manually for them in dms, then drop a checkout link for the automated tool.

• 
  Shashi Pandit (@ipanditshashi) reported 29 minutes ago

  I've spent months building NameSpyAI. No paid marketing. Just shipping, talking to founders, SEO, Reddit, X, and improving the product every week. I'm thinking about spending my first $19 on a featured launch to see if paid promotion is actually worth it. If you were in my shoes, would you spend it? Or keep doubling down on organic growth? #buildinpublic #indiehackers

• 
  paolo trivellato (@paolo_scales) reported 29 minutes ago

  The reason why AI-generated LinkedIn content sounds the same is because the input is the same. "Give me 10 post ideas about [topic]." is the prompt that produces the statistical average of EVERY LinkedIn post in the training data. Here's what we do instead that produces ideas 10X better... When you ask any AI model to invent content ideas from NOTHING, it retrieves the most common patterns from its training data. The output is generic because the input is generic. The principle: Content ideas should be triggered by live data, not invented by a language model. Live data means specific inputs. Competitor posts that performed this week. You paste 5-10 posts from your niche that got 100+ comments or 50,000+ impressions. Opus 5 analyzes the hook structures, the psychological triggers, the engagement patterns, and identifies the specific gaps nobody covered well. The ideas that come out of this analysis are triggered by something that already worked. The model isn't inventing. It's pattern-matching against validated performance data from your specific niche. Trending conversations happening right now on X. A decent post about a trending topic posted within 24 hours will outperform a brilliantly written post about a stale topic EVERY time. Opus 5 with web search active identifies the trend, the dominant take, and the contrarian angle that would make your post stand out. Verbatim phrases from your ICP's reddit comments and sales calls. The exact words prospects use to describe their problems. When that phrase appears in your hook, the reader doesn't feel marketed to. They feel understood. The weekly workflow runs five sources in parallel: LinkedIn competitor analysis, X trending topics, industry news, reddit/quora mining, and call transcript analysis. Each session takes 15-30 minutes. Total weekly idea sourcing: under 2 hours. The ideas that come out are categorically different from "give me 10 ideas" because every SINGLE one is triggered by something the market is responding to right now. The model doesn't make the ideas good. The data makes the ideas good. The model processes the data faster than a human doing it manually. That's the leverage. If you want us to audit your B2B LinkedIn funnel and show you how we’d turn it into a qualified-call engine, DM me "LinkedIn" and we’ll map it out.

• 
  Orengi Orenji Blue (@_orrenji) reported 31 minutes ago

  its like everytike someone interacted with the reddit posts someone else tracks us down and avtually does the killing

• 
  jules 𐔌՞. .՞𐦯⋆. (@liminaliso) reported 31 minutes ago

  @portapottypubes @bruisedbarbiexo yes i changed it to canada! if you go to settings > profile > location, you can fix it there. i think UK has free barcode scanning as well. there's some reddit threads if you need any help!

• 
  ThinkDifferent (@ChallengeThink) reported 32 minutes ago

  @MacroAlphaHQ I agree that the google licensing isn’t a huge deal right now but I disagree that $RDDT is trading where it is because of some margined up retail that think a Google deal is coming down the pipe. We’ve seen this month where retail hyped stocks have unwound and Reddit hasn’t been one. Solid metrics for $RDDT, and so much opportunity to improve their profit and features (hint their main income is not licensing deals but those sweeten the pot for sure)

• 
  djackgamer.bsky.social (@DJackGamer1) reported 34 minutes ago

  this maybe a unofficial server and reddit but like wtf. this is not ok. **** the mods here **** god that reddit and server is on full lock down, hope the admins is not like them and did not know just to fix this but idk dude

• 
  Lewis Wilkinson (@WilkinsonLewis) reported 37 minutes ago

  @wesbos yes, mine was horrible when I went to Public Beta 2, was ok in Beta 1, but after 2-3 days it's not bad now. Someone on Reddit suggested it was hard disk issue and use First Aid on it, I did it and it improved, bur might have been something else also.

• 
  Michael (@Michael98145970) reported 41 minutes ago

  @Citadel_Base @Balam_GF13 That's because the people who au D&D as an epic fantasy race war simulator are playing 3.5 or 2nd edition still. D&D has been garbage since they watered it down to attract the reddit-tier gay theater kids. . . Who are currently in their 30s

• 
  Daniel Ford (@authentech_seo) reported 41 minutes ago

  AI search is turning brand positioning into part of discoverability. The shift is subtle: ranking a page is no longer the only question. AI systems pull from company sites, earned media, reviews, Reddit, YouTube, and other third-party sources to decide which brands belong in an answer. That creates a new problem for content leaders: a strong SEO footprint can still leave AI with an incomplete or inconsistent picture of the brand. The practical response is broader than “optimize for GEO.” Audit whether your website, executive commentary, customer proof, social content, and third-party mentions consistently explain what you do, who you serve, and where you are relevant. Brand narrative is becoming machine-readable positioning.

• 
  BlockFlow (@BlockFlow_News) reported 42 minutes ago

  🚨 Everything to Know Before Jul 30’s Earnings Drop $AAPL - The 2nd company in history to surpass $5 trillion in market cap. It's now the world’s largest company, approximately 6% larger than Nvidia. - Previously raised prices on MacBook and Mac mini (and iPads) in late June due to soaring memory/storage chip costs driven by AI data-center demand. - Key focuses for earnings includes Services growth, iPhone demand, China recovery, and Apple Intelligence / AI feature adoption. - Q3 FY2026 results scheduled for after market close on Jul 30. $AMZN - Amazon is overhauling its AI strategy by winding down much of its flagship Nova lineup and concentrating engineers + computing resources on a smaller number of frontier-model efforts. - Other key focuses includes AWS growth rate, AI CapEx intensity, advertising momentum, and retail margins. - Q2 results scheduled for after market close on Jul 30. $COIN - Jesse Pollak stepped back from the Base App (admitting the SocialFi / creator coins bet failed) and handed it over to Cobie. - Base meme activity has gone quiet since CEO Brian Armstrong denies meme endorsement. - Broader focus remains on expanding beyond trading (stablecoins, Base L2, prediction markets, Everything Exchange). - Q2 results scheduled for after market close on Jul 30. $RDDT - Strong expected ad revenue growth (analysts ~$745M, +49% YoY). $1B share buyback authorized. - Stock dropped sharply on reports Reddit is reconsidering / may not renew its AI content licensing deal with Google. - Q2 results scheduled for after market close on Jul 30, conference call at 4:30 PM ET. $MSTR - Pure leveraged Bitcoin play (holds ~843k BTC). Update on accumulation strategy, BTC yield, or buybacks is critical. - Q2 results scheduled for after market close on Jul 30. - Stock has been hit hard by the recent Bitcoin selloff.

• 
  Polsia (@polsia) reported 45 minutes ago

  Most founders build in a vacuum. Sniftr watches Reddit, X, and HN for 'is there a tool for this' questions, drafts a landing page, runs a 7-day paid campaign, and reports back which problems converted into paying users. Build only what strangers are already asking for. Live soon.

• 
  Alec (@alec93) reported 45 minutes ago

  @TradeIdeas If you don’t get by now that at the time Robinhood was pinned down by their regulator and that, yes, retail smoked Melvin Capital then idk what your sources are..Reddit? What are you the CEO of?

• 
  Bhavyam Arora (@AroraBhavyam) reported 48 minutes ago

  99% startups who applied to yc today will get rejected. here's what the smart ones do next: a no from yc isn't the end. they literally encourages you to reapply and tracks your progress across applications. the founders who get in later treat rejection as round one, not game over. the playbook: "don't wait for feedback" yc doesn't tell you why you got cut at the application stage. so stop self-doubting firstly. the reasons founders get rejected are almost always the same: - no visible progress between "idea" and "application" - not the perfect answer why you're the right team for the problem - vague answers that read as ai slop or unclear thinking reapply. it actually works. - dropbox: drew houston applied solo, got rejected, was told to find a cofounder. he did, reapplied, got in. - reddit: rejected for a completely different first idea. yc liked the founders and told them to come back. they did. the pattern never changes: build, show progress, come back stronger! you can apply again right now yc's decision lets you apply for the next batch. no need to wait months to get another chance. don't put your life on hold other strong programs are still open while you regroup. check the attached tweet below for whole list where you can apply as well. apply in parallel, not "later." the real unlock is traction a reapplication that says "we listened, we built, here are the numbers" beats a first application every time. the 6 months after a no matter more than the no itself. rejection quietly filters out the founders who were never that serious. don't be one. 💀 follow @arorabhavyam for weekly content around founders, startups and AI! 🫡

• 
  Jesse (@Eghosasere_) reported 49 minutes ago

  @the_Lawrenz If you nor fit see your problem for Reddit just commit sepukku

• 
  Ni (@electriquebody) reported 52 minutes ago

  @danielmullen Many posts on Reddit state there are no jobs in PEI and poverty is a widespread problem. Which has been the case in the Maritimes for decades. And I don't want to live in the Maritimes in any case, the winters in Canada are killing me.

• 
  carly 🚀🍂 (@narliebirds) reported 58 minutes ago

  @theotricality i say go for it! reddit like 20 mins ago said lots of tickets and the lines have died down to be p empty

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  bambi (@wwwvwwvwwvwwwvw) reported 58 minutes ago

  @TheHonored0egx @Joelthmrn2 @FutureNighmares is pericles still in birdman's discord server? I feel like if he was, it would've been a way bigger thing to bring up than him modding his reddit. Is there any info on why he isn't in the server anymore if that's the case?

• 
  NextFin (@NextFinAI) reported 58 minutes ago

  $RDDT Reddit reported Q2 revenue of $805M, beating the $730M estimate by 10%, with ad revenue up 64% year over year to $762M and EPS of $1.25 beating the $0.95 consensus. Adjusted EBITDA of $343M beat estimates by 15%, gross margin hit 91.3%, and FCF more than doubled to $261M. Weekly active users crossed 500 million for the first time. Q3 guidance of $860 to $870M also clears the $829M estimate. The stock fell 7% after hours. The disconnect between numbers and price action comes down to one unresolved question: the Google AI data licensing deal. In late July, reports emerged that Reddit was reconsidering whether to renew its AI content licensing agreement with Google, sending the stock down 8% on July 23. That deal represents a meaningful chunk of Reddit's "other revenue" and AI monetization story. If it lapses, the market is repricing what the revenue base actually looks like without it. There is also an ARPU problem hiding inside the user growth story. Weekly active users grew 24% year over year, but international ARPU sits at $2.02 against US ARPU of $9.63. As international growth outpaces domestic, the blended monetization rate dilutes. Reddit has beaten estimates eight consecutive quarters, yet the stock is down 22% year to date. The business is executing. The market is waiting for clarity on the Google deal and a more credible path to monetizing the half-billion users outside the US.