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 (45%)
• Errors (31%)
• Sign in (24%)

Live Outage Map

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

City	Problem Type	Report Time
Patna	Errors	8 days ago
Monclova	Sign in	9 days ago
Nice	Errors	10 days ago
Guayaquil	Errors	20 days ago
Veracruz	Website Down	25 days ago
Bhubaneshwar	Website Down	28 days ago

Full Outage Map

Community Discussion

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

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Reddit Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Kiana_SEO (@KianaS_00) reported 42 seconds ago

  If 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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  QuiescentCrescent (@qui_crescent) reported 5 minutes ago

  It's just very funny to me how positively tame whatever personal drama he has going on is compared to the gangbanging and serial killing of all the thug rappers reddit fellates. All performative, all the way down.

• 
  Josef Andre (@josefandre_) reported 6 minutes ago

  @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

• 
  Mick Jay (@mickjayofficial) reported 6 minutes ago

  @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.

• 
  Yash (@yashlame) reported 9 minutes ago

  Call it the unsigned citation. An AI engine pulls a Reddit thread into its answer. The thread is about your category. Your product solves exactly that problem. Your name appears nowhere on the page it cited.

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  Keegan Kreutzer (@keegankreutzer) reported 9 minutes ago

  That retatrutide vial in your fridge is now an exhibit in a federal lawsuit. Lilly sued six online sellers in August. Not for patents. For what they told customers: "research only" next to a dosing chart, "same as the real thing," "safe." Their lawyers used Reddit posts describing side effects as evidence. Three sellers took their pages down the same day.

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  T.M (@tactmedic52) reported 10 minutes ago

  @letsgetfecal That wasn't at all what the issue was and I don't think you understand what Reddit means. Genuinely far worse of a game outside of the abysmal dog **** firearm customisation they put into that game.

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  Burnt Toasst (@BurntToasst) reported 10 minutes ago

  @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.

• 
  Treigua (@Treigua) reported 14 minutes ago

  @Amank1412 I’d separate audience from intent. X is weak when the $20 plan appears under generic build-in-public posts; Reddit converts because buyers arrive inside a problem-specific thread. The channel matters less than whether the post captures active pain.

• 
  Amin (@eCom_Amin) reported 19 minutes ago

  fable 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"

• 
  VibeDraft (@vibedraft_app) reported 21 minutes ago

  the most useful stat in the research we ran: reddit replies posted more than 24 hours after a thread get buried. octolens measured it across 522 million mentions. which means an intent listening agent that runs nightly is already too slow. the loop has to run hourly, and the human has to be reachable. the bottleneck is not the drafting. it is how fast a person can approve.

• 
  James In Beta (@JamesJames518) reported 21 minutes ago

  RedditMaster Karma Mode actually wasn’t something I originally planned to build. But after talking to RedditMaster users, I kept hearing the same problem: new Reddit accounts often can’t post where they want, and it gets frustrating fast. A lot of people end up buying accounts, but purchased accounts can be risky and get banned easily. The other option is using an agency’s accounts, but then all the traffic goes to accounts you don’t own, and the quality can be inconsistent. So the safest long-term approach is still to grow your own account organically. That’s what RedditMaster’s Karma Mode is built for. Our users typically reach around 1,000 karma in about 90 days. I am really proud about what we achieved.

• 
  Nandkishor (@devops_nk) reported 23 minutes ago

  - 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 ?

• 
  Shahrukh Chauhan (@Shahrukh_SC) reported 26 minutes ago

  @bytajgervan Reddit ban problem

• 
  Ben H (@benh_mecfs) reported 27 minutes ago

  @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!

• 
  Alexander 'Lex' Williams (@squidlord) reported 30 minutes ago

  @Ochadoji999 The process of online fragmentation is a long-standing problem. We used to have Usenet as the big conversational space and individual IRC channels on some of the larger servers as the ephemeral chat places, and it worked pretty well. Quite frankly, you can run an IRC server on a potato. They can talk to one another in a sort of federated mesh if you want. We had that technology figured out and nailed down. But then came the introduction of walled garden solutions. At least AIM and ICQ used open protocols so other people could make clients that interfaced with them, and you could still talk to your friends using them no matter what client you used. Then came Facebook and Myspace and the wave of early "social media" platforms, which slowly and surely began choking off access to general cross-system information. Reddit, for quite a long time, was a very big anomaly because as long as you spoke its API, it didn't care. Which is why so much of Reddit data made it into training information for various systems. Then Discord servers became very much the norm, which combined even more fragmentary, isolated groups into their own server silo, but within the same platform ecosystem. It was and remains great technology, but the way that it has affected the culture of online communities is somewhat of a problem in my view. It creates a feeling for and desire for insularity. Plus, it focuses on ephemeral conversation rather than long-term stored communication like you find on forums and Usenet and various other places where people have more nuanced conversations. If you think all your ideas deserve to have the lifespan of a mayfly, then I guess it's great, but I don't like it very much. In fairness, there never was a VTuber community. That's the wrong word to use for it. There was a "people who did VTubing and the people who were into watching VTubing." Those people didn't necessarily have many things in common, and they still don't. It is an identity group and not a community. Which sums up so much of what's wrong with it as a whole.

• 
  Grant Miller (@AIGuide_) reported 32 minutes ago

  Claude Fable 5.1 dropped yesterday and i've had it running on a full social GTM stack since it holds way more at once now. you can dump a whole category's worth of 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 three prompts they lifted off a thread. and this matters 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 beats 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: - 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.

• 
  𒀖Ackza𒀖₿ (@ackzacrypto) reported 33 minutes ago

  @ZackGianino you need to learn how the weather works before you post a bunch of bullshit, global warming trash posts like this. go on Reddit and post this scare garbage temperature is going to go down soon

• 
  Dog Dad The Pilot (@TeamBubba23) reported 34 minutes ago

  @BW_Channel23 Saw somebody posted this on Reddit the other day. It got taken down shortly after

• 
  BigTrees (@MoreBigFish) reported 36 minutes ago

  @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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  Mendía Helicopter Tours (@MendiaTours) reported 37 minutes ago

  @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

• 
  Reese (@FPS_Reese) reported 43 minutes ago

  @GorgoKnight Looks like a common issue that’s happened to a bunch of folks over the past two weeks. Can’t pinpoint a fix, and without connecting to see the whole setup, there’s a lot of unknowns. A Reddit user shared this, try this, then reboot the computer after before trying the game again.

• 
  Dylan Txa (@Dylan_txa_) reported 50 minutes ago

  I'm 30. I built an AI startup called GojiberryAI doing over $4M ARR in one year. Got accepted into YC. If I had to start from 0, here's exactly what I'd do: 1. Sell it before I build it. No code. Just a simple slide deck (mine was 6 ugly slides) explaining the problem, the solution, the outcome, and the price. I made my first $10k that way, before writing a single line. 2. Pick a painfully specific customer. Not "B2B SaaS." Something like "founders at 20-person SaaS companies about to hire their first SDR." So specific that the right person reads it and thinks "that's me." 3. Start outbound on day one, but only to people showing intent. Not scraped lists. People engaging with competitors, changing roles, raising money, or publicly posting about the exact problem I solve. That's the gap between a 1-2% reply rate and 25-40%. 4. Lead with value, never a calendar link. Send a blueprint, not "got 15 minutes?" Let the resource do the selling, and the trial becomes the obvious next step instead of a pitch. 5. Pick ONE channel and go deep. For us it was outbound first, then Reddit (10M+ organic views), then LinkedIn lead magnets. I wouldn't touch a second channel until the first one was clearly working. 6. Talk to customers every single day. The product doesn't matter until you understand the problem better than they do. Spend 90% of every early call listening, not demoing. 7. Only build once people are actually paying. Then keep it dead simple and price it to sell itself. We landed on $99/mo with a free trial, so the funnel runs without me dragging anyone onto a call. 8. Do this relentlessly for about 12 months. That’s roughly how long $0 to $3.5M took us. Bootstrapped. No outside funding. Most founders don’t lose because they can’t build. They lose because they build too early, sell too late, and quit the channel before it compounds.

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  Matt (@whatsinitforme) reported 51 minutes ago

  @LegalYookay Reddit moderators always shut down such things

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  Priyanshu Bhati (@buildwithpb) reported 52 minutes ago

  @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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  Kelvin Hong (@Kelvinhong52) reported 55 minutes ago

  @TTrimoreau Find people talk about the problem. Reddit, cold dm

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  liquidated (Dev Arc) (@liquidated0x) reported 56 minutes ago

  @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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  Rhonda S (@Smeetsya) reported 57 minutes ago

  @s4intfelina That's the problem. Men hate women, but women hate women too. I'll bet 90% of these snark reddit are women.

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  Sanjay Singh (@HeySanjaySingh) reported 57 minutes ago

  Any 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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  carl (@CarlKingofDucks) reported 58 minutes ago

  @greytownbuilder Damn you got that reddit atheist aura down