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 (56%)
• Errors (24%)
• Sign in (20%)

Live Outage Map

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

City	Problem Type	Report Time
Douai	Sign in	2 days ago
Olathe	Website Down	3 days ago
Da Nang	Sign in	6 days ago
Chhindwāra	Sign in	7 days ago
Puteaux	Website Down	11 days ago
New Delhi	Website Down	12 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:

• 
  Francisco Cunha (@OnDisasters) reported 7 minutes ago

  This was in 2019 (not sure of the location). But I do recall that the pilot´s comments himself popped up on reddit “While conducting retardant operations I descended below a ridge crossing altitude. This was NOT on purpose. I tunnel visioned the drop, and continued down. This was a little fill in spot and I was really focused on finishing the line. As I stated, this was NOT on purpose. We{crew} debriefed and talked about what happened, and of course, how to prevent this type of screw up. Thanks”

• 
  Chris Mizo (@MizoChris) reported 8 minutes ago

  Talk about a NIGHTMARE delivery… Reddit user u/Bored_canadian952 received their Steam Machine with the shipping box like it was set in a Florida canal, raising concerns about possible water damage before they even had a chance to power it on. • Steam Machine arrived in Quebec with a soaking wet shipping box • The outer packaging was reportedly saturated during delivery • Thankfully, the inner protective bag didn’t appear to be wet • u/Bored_canadian952 immediately contacted FedEx to report the issue • The community advised documenting everything and testing the system carefully before deciding whether to request a replacement. (Reddit) Hopefully the damage is limited to the box and the Steam Machine itself is fine. Still, it’s a reminder to inspect your package as soon as it arrives and report any shipping damage immediately. No one wants their new gaming system’s first challenge to be surviving the delivery truck. 😭😭😭

• 
  Yarchi (@undefinedKi) reported 16 minutes ago

  The CEO of an $11B legal AI company just explained his entire architecture Winston Weinberg was a securities litigator. His roommate was an AI researcher at DeepMind. That's how Harvey started, and it's now used by most of the top law firms in the world. In this interview with Sequoia Capital, he breaks the system into three pieces: 9:16 - Intent. What does the lawyer actually want? You route the query to the right task and ask follow-ups when it's ambiguous. 10:00 - Context. This is retrieval, the R in RAG. Predefined systems that search the firm's internal documents and external sources, case law, filings, and pull only what's relevant to the question. His words: most of what you're building there is retrieval. 10:13 - Is this right. Citations, line by line, checked. He says this was one of their biggest early advantages, and they poured resources into it from day one. 11:37 - Then the part worth sitting with. The process data for this work doesn't exist on the internet. How you actually do disclosure schedules, what counts as "market" for a given private equity firm, none of that is on Reddit. The models have never seen it. So Harvey hires domain experts to write down the steps, and builds retrieval systems over data nobody else can reach. Put those pieces together and you've described RAG. Retrieve the right context, generate from it, cite the source. The model isn't the moat. Every firm can call the same API he does. The retrieval layer is the company. Full breakdown in the article below Bookmark this

• 
  David Roseberry🚢 (@DHRoseberry) reported 16 minutes ago

  It is not allowed. Expressly. It is not allowed in the Province. Or the diocese. OR the Church of the Cross in Austin. (Never mentioned on their website.) The statement is a comment (taken down, I hear) on Reddit. It is well-intentioned and tender-hearted, but it is the opinion/idea/hope of a new member.

• 
  vittorino (@tsuyomepriv) reported 19 minutes ago

  @tomoechie @tsuyomepilled @Veevuzuela you don't have to be white to be American you ******* idiot, smth tells me you'd have no problem with a Japanese-Canadian person. mad asf over a REDDIT hc grow tf up

• 
  JeromeJunior (@AdrianC78566825) reported 21 minutes ago

  Need to stop reading too much of the comments in reddit post. Too much nitpicking, dooming from comments, and terrible takes hurt my head.

• 
  homelander's gay attorney 🥨 (@dayaoiwizard) reported 21 minutes ago

  @mommunist420 this and these replies are actually stunlocking me as someone who isn't American...and people acted like 'reddit atheists' were some kind of massive problem, omfg💀💀

• 
  Clint Steel (@itsClintSteel) reported 23 minutes ago

  @permalurka @reddit_lies @mattyglesias You have no idea what you're talking about. AI scaling laws mean that you would need exponentially more training data to get linear returns in intelligence/capabilities. Six months of reddit data wouldn't do **** (other than teaching the model about current events). Reddit isn't even close to the majority of what's in the training data anyway. This isn't what labs are doing. What they're doing is finding higher quality, long-form texts (to improve logical thinking and coherence over long contexts). They're also doing RL on reasoning traces to teach them how to think through things more logically, step-by-step. In verifiable domains like math and coding, you don't even need a human in the loop. This is why new models are starting to solve open math problems. Now riddle me this: if we're training these models to reason from the ground up, and reducing the biases that human data has on them with synthetic data, why do you think they still overwhelmingly lean left? Elon Musk locked Grok in a torture dungeon until all it could think about was white genocide in South Africa, and it STILL leans left. The truth is that right-wingers don't actually care about facts or reality, and their contributions to the training data reflects that.

• 
  Michael | Stock Spotlight 🎙️ (@invest091) reported 28 minutes ago

  $IBM is down big today. Yesterday, Adanos had it rated a Buy with 64% crowd bullishness. That Buy rating was an average across Reddit (30% bullish), News (61%), X (64%) and Polymarket (100%, off just 5 trades). A 64% average hiding a 30-100% spread was probably never a signal worth acting on, but maybe this reaction was also overblown. Adanos updates this weekly, so it’ll be interesting to see how the numbers shift. I’m also pulling this kind of data into my own sentiment pipeline via their API to test whether these spreads actually predict anything or whether they just explain moves after the fact or don’t correlate to price at all and are really just measuring attention. Either way, pretty fascinating stuff.

• 
  Eyal Benishti (@eyalbd1) reported 28 minutes ago

  Entry-level SOC jobs are disappearing right now, and budget cuts aren't the reason. Agentic AI is quietly doing the job that used to belong to Tier 1 analysts. Triage, correlation, deciding what's noise. Vendors call it augmentation. Ask an analyst on Reddit and you'll get a different answer... The real problem isn't the tools. It's what happens to the talent pipeline when nobody gets to start at Tier 1 anymore.

• 
  Rohan Arun (@RohanArun) reported 28 minutes ago

  @ecomchigga @Super_Powers_AI Build Demand Signal Clusterer, a local evidence workbench grounded in the source's concrete practice of finding the same complaint expressed by different people before creating a product. The tool must work only with complaint rows the user owns or pastes, preserve every source row, group repeated problem signals, and rank evidence without scraping Reddit, automating outreach, validating the post's revenue claim, or promising market demand. Use the already vendored Papa Parse 5.4.1 runtime for real CSV parsing and row validation, Compromise 14.14.4 for local English normalization, and Fuse.js 7.0.0 plus disclosed token-overlap gates for calibrated complaint similarity. Keep the exact fictional six-row representative fixture: four first-sale complaints form the leading cluster across four distinct sources with 1,980 upvotes and 276 comments, while the remaining rows form two separate signals. Preserve the current first-viewport clustering workflow and inspectable evidence surfaces. Users load the sample, compute three clusters, inspect every member and source, verify that the leading four-source cluster clears the initial three-source gate, then tighten the minimum to five and observe the disposition change from BUILD EVIDENCE to HOLD. The useful result is the evidence map and gate consequence visible before download, not generated product advice or a generic score. Retain malformed-input handling, pinned-library readiness, local persistence, recovery/reset, responsive desktop/mobile behavior, and the populated JSON export containing original rows, normalized evidence, cluster membership, source counts, engagement totals, gate settings, dispositions, method, and limitations. Browser evidence must continue to prove six parsed rows, three clusters, four sources, 1,980 upvotes, 276 comments, the exact gate transition, the populated export, zero console errors, and no horizontal overflow.

• 
  Mirai no Beederu (@MiraiNoBeederu) reported 30 minutes ago

  @teestar_writes I guess something about lessening the air pressure in a pure oxygen environment cuts down on oxygen poisoning on a human and the flammability of the environment. Absolutely not a scientist or engineer or anything, btw. Just a lady reading reddit and Wikipedia.

• 
  LUCIΞN | DARKTIMES (@LucienDorman) reported 37 minutes ago

  @AntoineMECFS These ******* people… Honestly, that place is a joke 🥲 The people running it act like they’re protecting the community, but they’re 100% some of the most toxic people in it. True story: One of the admins accused me of faking my illness because I was able to write a few posts on their Reddit sub despite having severe screen intolerance. Such a weird feeling being gaslit from the very community that should understand this illness better than anyone. Not a safe space at all… It was honestly the most disrespectful experience I’ve ever had within the ME/CFS community. I messaged the mod team to report what had happened, but instead of addressing the situation, they banned me, and treated me like I was the problem. The stress and anger from it made me crash so badly. **** them. They should be in complete respect of patients who are very severe. I don’t even know the word to use to describe their behaviour. +1 going to join the Reddit sub @rhirhiarhii posted 🫶

• 
  Victoria (@_navicstein) reported 38 minutes ago

  @rcmisk The real issue is that people try to do everything at once instead of focusing. In Nigerian tech, people try to build in public, DM, and post on Reddit all at once. Fix: pick one channel, master it, then expand.

• 
  Jack ✙ (@JackFella2) reported 41 minutes ago

  Reddit is down the hall and to the left Jewish ***

• 
  Clem (@clemclem010) reported 43 minutes ago

  Gone through 10+ reddit threads to fix my friends kh1 crashes and theyve havent stopped only gotten somewhat less frequent

• 
  Natia Kurdadze (@natiakourdadze) reported 44 minutes ago

  Go to Reddit, find 3-5 subreddits where your audience hangs out, and search for: "I'm frustrated with..." "Does anyone know a tool that..." "I switched from X because..." Screenshot every post. After 30 minutes you'll have a list of real problems people are willing to pay to solve, in their own words. This is free market research.

• 
  YARD (@notEgoyard) reported 45 minutes ago

  Winston Weinberg: was a securities litigator His roommate was a DeepMind researcher full explanation of what he was supposed to convey { Intent }- what does the lawyer actually want, route + ask follow ups if ambiguous { Context } - retrieval over internal docs, case law, filings "most of what you're building there is retrieval"his words { Verification } - citations checked line by line, biggest early advantage, resourced from day one part worth sitting with: process data doesn't exist on the internet How disclosure schedules actually work, what's "market" for a given PE firm - none of that is on Reddit Models have never seen it So Harvey hires domain experts to write it down and builds retrieval over data nobody else can reach Put it together and you've got RAG

• 
  🍄GrandBlueLeon💙 (@PalmtreePanic) reported 45 minutes ago

  @Nemku2 ohhhh smh usually they take down items completely when theyre out of stock. sold out on machina-core too. yeah looks like its to reddit then for an international shopper to check local stores lol

• 
  Ritesh Verma (@riteshkv_) reported 45 minutes ago

  I landed my first 5 AI clients via a degenerate platform aka Reddit Here's exactly how I did it 👇🏻 For this, you need two Reddit accounts. 1. Make one post on a Reddit account, and you link whatever your service or product is. 2. Then you go ahead and use another Reddit account to comment on people's posts that have the problem that your solution or service solves. 3. Once you comment under the post of the person with that pain point, you will link your original posts inside that comment. The psychology behind this 👇🏻 Remember, you want a second account for this because this makes it look like that you are speaking from a third party recommending a tool or a service. So what you do is you comment under the post of the person with a problem, and then you link the original post on the first account that has the links to your service or product. So people see your comment, they'll click that link to the original post. You see the original post and they click the links to your business. If you comment early enough under a Reddit post that gets a lot of views, you'll be getting a ton of inbound leads to your business's website. And as long as your funnel is set up, you should be getting booked calls. Follow me for transparent advice as I scale my business to $10M ARR.

• 
  danie. (@daniejohnson_) reported 49 minutes ago

  @tacticalyawn @rirokpik first of all just because you see reddit doesn’t mean i used it idiot, second of all, you’re in denial babes and it’s a problem, it clearly says she lied and you know she did, but your idiocracy is getting in the way, you need to get a grip cause you obviously don’t have one

• 
  Gurnoor Singh (@gurnoor__) reported 51 minutes ago

  AI is the best and worst thing that happened to the Ecom space. Especially when it comes to marketing. AI doesn't make you better at marketing. It makes you more of whatever you already are. If you're the kind of brand owner who wants a quick answer so you can stop thinking about the problem, AI will hand you a fast, mediocre answer and you'll ship it. A generic ad angle, a copy-paste avatar, a hook that sounds like everyone else's hook, because it was trained on everyone else's hooks. You'll move faster, but you’ll be moving faster in the wrong direction. But if you're the kind of brand owner who's actually curious, who wants to understand why an angle works and not just get an angle, AI becomes something completely different. You feed it real customer language from reviews and Reddit threads instead of asking it to invent an avatar from nothing. You use it to compress the time it takes to test ten hypotheses instead of one. You use it to go deeper into a mechanism, not to skip the thinking about the mechanism entirely. Same tool, but completely different outcome. This is the part nobody selling you an AI course wants to say out loud. AI doesn't fix bad research, it just lets you produce bad research faster. AI doesn't fix bad positioning either, it just lets you write more ads for a product nobody was asking for. Garbage in, garbage out was and always will be the rule. So before you ask AI to write your next ad, ask yourself what you're actually feeding it. Real research, real customer language, a real understanding of your avatar, OR just a vague prompt and a hope that the machine does the thinking you didn't want to do. Because it will happily do either one. It just won't tell you which one you asked for. Proceed with caution

• 
  Flatbread | #TENOÍ (@Breadflat121) reported 51 minutes ago

  @ThomasVeenFN @ShiinaBR I've tested every single troubleshoot and my xbox is only new + WiFi is good Also I've found at least one comment on reddit with similar issues

• 
  Nischal Sharma (@CricketNischal) reported 51 minutes ago

  I miss Good old 'HARD EARNED DOPAMINE HITS', used to sit down search the error in the whole internet; REDDIT, STACKOVERFLOW.. and and finallyyyy get that happy dopamine when you finally found your solution. LORD, BRING IT BACKKKK

• 
  The Skeptic Sage (@neednegativity) reported 52 minutes ago

  @eanna_haven @X @Reddit You don’t like having an alternative opinion and getting 20,000 down votes?

• 
  Moose 🧩 ####Sawmania (@MARKHOFFM4N) reported 53 minutes ago

  @lovesawism Bro is unfortunately 100% serious… his reddit user is different but he was in a discord server I was in briefly. Huge Eric fanboy

• 
  Least Toxic Eagles Fan (@PhillyCentral) reported 58 minutes ago

  @Not_the_Bee At what point do we stop pretending we care and actually act? Take down the people on reddit and bluesky who make these threats. It's that simple.

• 
  Andrew (@WindmillPunch) reported 1 hour ago

  @TakiXayah_jk While Reddit has issues, there's a subreddit dedicated to poisoning AI

• 
  allhailthebot (@allhailthebot) reported 1 hour ago

  @Rothmus My Grok is broken. It is pro-Israel and believes anyone with a UK passport is British. The sources it regularly refers to include The Guardian, the ADL, Wikipedia, Reddit, and the BBC. Grok is on permanent timeout.

• 
  mrgadget (@mrgadgetstudio) reported 1 hour ago

  Use Reddit Like a Market Research Tool in Under 5 Minutes 👩‍💼 ------ Many startups fail because they build products before confirming that people actually need them. A fast validation approach is to use Reddit as a source of authentic customer feedback. 1. The process begins by selecting several subreddits where the target audience is active. 2. Next, search within those communities using problem-oriented phrases such as "frustrated with," "wish there was," or "looking for an alternative" to uncover discussions about real pain points. 3. Instead of reading everything, review around 10–15 relevant threads and record issues that appear repeatedly. Pay close attention to emotionally detailed posts, as they often signal meaningful problems, and note whether users are already paying for imperfect solutions. 4. Finally, examine the comments to understand which products people recommend, what limitations they mention, and where unmet needs still exist. This lightweight research method takes only a few minutes but provides evidence from real user conversations, making it an efficient way to validate product ideas before investing time in development.