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	3 days ago
Olathe	Website Down	4 days ago
Da Nang	Sign in	6 days ago
Chhindwāra	Sign in	7 days ago
Puteaux	Website Down	12 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:

• 
  Jessamine (@JessamineBeauty) reported 5 minutes ago

  @FunmiGrace2196 Yes girl just because you dont notice it does not mean it does not happen ,any hate tweeted about Zach gets over 25k likes go on reddit if you say anything positive about him you get cursed out or mods take down your comment ,go on IG and see the comments asking him to die .

• 
  Gabriela (@imurGABRIELA) reported 5 minutes ago

  @ArmysSaveSide @LittleSeven_twt @LeeJieuuu Always a dumbasss It's literally a screenshot from reddit stop being slow

• 
  Rammbone9000 (@Svr808) reported 6 minutes ago

  @LordBoiled @FuentesUpdates Reddit is down the hall and to the left, nerd.

• 
  TruthSeek33 (@truthseek33) reported 7 minutes ago

  Early Internet: Open, Free. No censorship. Free thinking. Communication. Forums. 2026 Internet: Closed, paywalled, forums shut down, censorship on Reddit/Discord, human thought chained to social media feeds and ephemeral experiences. This is DISASTEROUS for humanity.

• 
  Clint Steel (@itsClintSteel) reported 7 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.

• 
  Unknown User (@JamesWeeb1855) reported 7 minutes ago

  @TMobile Don’t get tmobiles internet it’s horrible and a rip off don’t do it people. Go look at all the people having problems on Reddit

• 
  est.1997 (but spooky) (@MOLENAIDE) reported 9 minutes ago

  But also this isn’t solely Taco Bell’s fault, it’s the lack of government oversight and the guy who runs this site having his Reddit mods shut down the agencies that literally tracked food diseases

• 
  Colin Glassey - Author (@cglassey_author) reported 10 minutes ago

  @ArtemisConsort Indeed. Trained on Reddit comments because of volume, instead of being trained on a curated list of the best books and nothing else. This is the problem with LLMs. Vast amounts of "garbage" training data. True excellence of thought is not the result of reading everything, only by reading good documents- books - essays. LLMs are nowhere near general human intelligence.

• 
  Adi (@AdiBacelar) reported 10 minutes ago

  @MILKANDH3NNY Bro, I saw it, and I fixed every issue he posted immediately this week. I'm about to post a reply because there's no way that, 2 years later, people are coming to my site because someone called it **** on Reddit. Lemme clear the air! So some people see that things are better.

• 
  Moose 🧩 ####Sawmania (@MARKHOFFM4N) reported 16 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

• 
  ᵎᵎ 🪲 august ୭ ୧ ink ⚢ ♡4🇱🇮 (@tr0pcalfish) reported 21 minutes ago

  @greenlndseal i have no issue with countryhumans in general but they always choose the most bland designs ever it reminds me of those ‘femboys’ on twitter and reddit that wear cheap *** amazon outfits

• 
  ecomchigga (@ecomchigga) reported 23 minutes ago

  i've tried every online business model over the past 4 years. here's what actually happened with each one. dropshipping (2021): the dream: passive income, laptop lifestyle, automated wealth. the reality: i lost $3,200 in 4 months. spent $1,100 on facebook ads before my first sale. product took 3 weeks to arrive from china. customer was furious. wanted a refund. supplier ghosted me. second supplier sent the wrong item. margins were 12-18% IF nothing went wrong. nothing ever went right. i was a customer service rep for a business that was bleeding money. woke up to angry emails every morning. "passive income" is a sick joke when you're begging aliexpress suppliers to respond. killed it after month 4. SMMA (2022): "just get clients bro. easiest money ever." landed 3 clients. $2,100/month total. cold outreach 4 hours daily. discovery calls with people who had no intention of paying. one client expected me available 24/7. another ghosted after 5 weeks owing me $600. the third kept changing what they wanted every 3 days. i was trading time for money with extra steps and extra stress. basically an employee with worse benefits and no stability. the profit margin was fine. the time margin was garbage. quit after 5 months. freelancing (2022): figured i'd just sell my skills directly. copywriting. some design work. feast or famine every single month. spent more time finding clients than doing actual work. competed with people overseas charging $4/hour for the same deliverable. income stopped completely the second i stopped working. no leverage. no scale. no compounding. made around $2,800/month at peak. but i was working 45+ hours. that's a job with worse benefits and no PTO. affiliate marketing (2022): promote other people's products. earn commission. sounds simple. 20-30% commission on products i didn't control. built audiences for other people's brands. they changed commission rates twice in 3 months without warning. had no relationship with the customers. they were never my customers. made $143 in 4 months of effort. realized i was building someone else's empire for pennies and they could pull the rug whenever they felt like it. amazon FBA (researched, never started): $4-6K minimum just to get inventory. amazon fees eating margins alive. reviews could tank you overnight. competing with chinese manufacturers selling direct at cost. needed photos, packaging, listing optimization, PPC campaigns. and one bad batch of product could wipe out months of profit. spent 2 weeks researching. closed the tab. moved on. print on demand (2022): designs on shirts and mugs. no inventory. sounds perfect. margins were 8-14% per sale. needed massive volume to make real money. designs got stolen within days of posting them. quality control was completely out of my hands. got 3 complaint emails about faded prints i'd never even seen in person. made $280 in 2 months. not worth the effort at those margins. crypto/trading (on and off 2021-2023): let's be honest. this is gambling with extra charts. made some money. lost more money. net result: stress, wasted time, and a portfolio that looked like a heart rate monitor. not a business. it's a casino that makes you feel smart on green days and stupid on red ones. then i found info products on X. late 2023. everything changed immediately. here's what hit different: profit margins: 90-95%. i sell a $50 product. gumroad takes 10%. stripe takes roughly $2. i keep $43 per sale. digital products have the highest profit margins of any business model that exists. nothing else is close. zero inventory: nothing to store. nothing to ship. nothing to manufacture. nothing to break in transit. customer buys, instant download, done. i've made sales while sleeping, on flights, in the shower, at dinner. create once, sell forever: i made a PDF one afternoon. that same file has made $38K and counting. haven't opened it since i uploaded it. same product selling every week to new people without me touching anything. no clients: no calls. no "can we hop on a quick zoom." no scope creep. no chasing invoices. no managing expectations. someone buys my product. they get instant access. relationship complete. no face required: i run faceless accounts. no selfies. no "day in my life" content. no personal brand to maintain. just value in a specific niche delivered through tweets i write in 14 minutes a day. scalable: i don't run one account. i run multiple. different niches. different voice profiles. same system underneath. each one generates its own revenue stream. sellable: faceless accounts sell for 30-40x monthly revenue. a $1,400/month account is a $42K-$56K asset. personal brands can't do this. when you ARE the product the business dies when you leave. faceless accounts are transferable machines. the formula: step 1: find a specific niche where people are already spending money. not what sounds cool. what people are actively paying to learn. step 2: stalk reddit for 30 minutes. find the same complaint being posted by different people in different words. 200+ upvotes on a complaint means thousands of people have the same problem. step 3: build the simplest version of the solution. a google doc. a template. a PDF. ugly is fine. functional is mandatory. first product should take one weekend. step 4: price it $34-$67. under $34 people assume it's garbage. over $67 they hesitate long enough to talk themselves out of it. step 5: faceless X account. bio says who you help and what result you deliver. link goes straight to telegram with the free guide pinned and the paid product underneath. step 6: 3 tweets a day. 1 CTA. community does the selling. backend does the converting. my results after switching to this model: month 1: $227 (almost quit) month 3: $3,800 month 6: $7,400/month consistent month 8: 3 accounts combined doing $27,400/month i spent 4 years and $8,600+ trying every model that promised freedom. dropshipping took my money. SMMA took my time. freelancing took both. affiliate marketing built someone else's brand. none of them compounded. none of them scaled without me working more hours. info products on faceless X accounts compound every single day. the community grows. the proof grows. the conversion grows. the revenue climbs without the effort climbing with it. i documented the entire system. finding niches that print. creating products in a weekend. content that converts without showing your face. the backend architecture. the algorithm breakdown. DM scripts. pricing framework. scaling to multiple accounts. 45 modules. it's called the X Method. $50. comment METHOD and i'll send you the link. must be following + RT. or keep trying dropshipping. let me know how that works out.

• 
  brendan (@BrendanPlayford) reported 25 minutes ago

  @LukasCantCode The key is to find the users expressing the pain you are solving, ideally finding a pain worth solving then building into that is most effective. Then when you show up you are helpful and add value people respond, as opposed to hard selling. Which on reddit in particular is always shot down hard. Happy to show you some good tactics to do validation up front if you shoot me a dm. Feels like I need to write an x article on this

• 
  Olli Sorjonen (@Olmirad) reported 29 minutes ago

  @Ryanizdag0at03 @RockstarSupport Same here too. I opened a ticket on Epic, as that's where I got the game from. It seems quite wide-spread issue, bunch of comments on Reddit and elsewhere.

• 
  DaGhostDS (@DaGhostDS) reported 33 minutes ago

  @libertyorfail @HazelAppleyard The problem is the moderation on Reddit, it's forced toward leftism bs, but there is a majority of people that aren't on the left.

• 
  Rohan Arun (@RohanArun) reported 33 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.

• 
  Troy (@troyaitken_) reported 36 minutes ago

  Several founders have asked me about signal-based outreach after seeing this. The problem is it's hard to tailor per business. Most consultants want hours of discovery calls before you see anything real. So I built a Claude Skill that skips that part. Give it your site and a one-liner on who you sell to. Here's what you get back: 1/ Your buyer's actual pains, sourced from reviews, Reddit, and job postings; using their words, not yours. 2/ 5-6 buying signals specific to your business, ranked by which to build first. 3/ A data-tool stack recommendation if you don't already have one (what to use, not just a list of names). 4/ 4-6 ranked campaign ideas, ready to hand to Claude Code to build the campaigns. No call. No weeks of back-and-forth. You get the starting point in the time it takes to read it. Comment "JUMPSTART" and I'll send you yours.

• 
  Ms. S (@BeTheChange_26) reported 36 minutes ago

  Reddit isn't the problem.

• 
  Michael | Stock Spotlight 🎙️ (@invest091) reported 37 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. 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.

• 
  Vishvam Mangroliya (@VishvamX) reported 40 minutes ago

  Is reddit is down?

• 
  Neptune Scalibur | NepScalVA (@NepScalVA) reported 41 minutes ago

  @TabaruNeko like last wee i popped my headset up to fix my foot tracker and got kicked for "ERPing" after getting the full reddit mod treatment from some rando in a 18+ while THE GROUP OWNERS WERE ******* AROUND THE CORNER, some people just need to learn the world exists outside of them

• 
  MWA (@RtrnSanity) reported 43 minutes ago

  This is the most Reddit issue of all time. What’s next, the House passing a bill to ban the word moist?

• 
  Olli Sorjonen (@Olmirad) reported 46 minutes ago

  @madpishi @GTAVI_Countdown I don't know, it is/was some kind of server issue, perhaps? It got fixed a few hours later for me, and I read many comments on Reddit that the issue was now gone.

• 
  YARD (@notEgoyard) reported 47 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

• 
  Ivan  In Dubas We Trust (@ivantweetspucks) reported 51 minutes ago

  @mark_mr44709 @RepJeffries If this was Reddit and we could down vote you, you would be buried at the bottom of the the thread with a -250

• 
  Chris (Man Who Games) (@AlternateUrge) reported 53 minutes ago

  @Davidoro48 @Reddit Same here. Permanently banned because they allow subreddits to get you in trouble for participating in completely separate, entirely legal subreddits that they personally happen to not like for entirely arbitrary reasons.

• 
  LoLNothingMatters (@DastDn) reported 53 minutes ago

  It's an enormous problem that's not really being engaged with by the Right. AIs are trained on publicly available online data, and many of the sources - from Reddit to Wikipedia - have been captured not simply by the Left, but by the distilled malignant lunacy in its purest form.

• 
  ✨Kaya•yuriku🏴󠁧󠁢󠁥󠁮󠁧󠁿🇫🇷 (@impre3ganton) reported 56 minutes ago

  @neogotmyzback The way Reddit is a terrible for finding a hex like wtf 🙄

• 
  flitzy (@fflitzer) reported 1 hour ago

  @harrowchassisbp if you use "reddit is that way" unironically you have a problem

• 
  KINGING $$$$ 🧡 (@OriOkeX) reported 1 hour ago

  @shallybabyyy There is solution to every issue on Reddit.