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 (52%)
• Sign in (26%)
• Errors (22%)

Live Outage Map

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

City	Problem Type	Report Time
Bhubaneshwar	Website Down	2 days ago
Melbourne	Sign in	4 days ago
San Nicolás de los Garza	Sign in	7 days ago
Ciudad Obregón	Website Down	7 days ago
Hyderabad	Website Down	9 days ago
Melbourne	Website Down	16 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:

• 
  Turn Reddit Into Traffic & Sales (@redranked) reported 4 minutes ago

  "reddit doesn't work for B2B" bro you posted once got 7 upvotes and deleted it because someone disagreed with you 💀 that's not a channel problem.

• 
  Finloveriao (@Finloveriao) reported 10 minutes ago

  She deposited $8,000 into an AI trading bot as a joke — fourteen months later it was worth $215,000. Elena wasn’t a trader. She was a nurse who read one Reddit thread too many and decided to test a rules-based bot instead of trusting her gut. No leverage, 2% risk per trade, and a strict rule: if the bot hit a 15% drawdown, it shut itself off for a week. Boring by design. The first four months returned just 6% total. She almost pulled the money out. Then came a volatile stretch in the market where accounts using aggressive, high-leverage bots got wiped out — some down 50% in days. Hers was flat. Not because it predicted the crash, but because it simply refused to take big risks when volatility spiked. That’s when the math started working in her favor. Average monthly return: 5.1%. Losing months: three out of fourteen, none worse than -4%. By month fourteen, $8,000 had compounded into $215,000 — not from one lucky trade, but from roughly 900 small, unremarkable ones that rarely broke the rules. She still works as a nurse. The bot runs in the background. Her only advice: the goal was never to get rich fast — it was to not blow up while everyone else did.

• 
  Defenestrator (@24Defenestrator) reported 11 minutes ago

  @KobeissiLetter Reddit should be shut down

• 
  BodieFPS (@BodieFPS) reported 13 minutes ago

  crime in america went so badly for joe, he's resorted to doing a fake reddit AMA for the first time every single question just trolling him, as expected lol idk who is handling joe but they are some boomers who don't understand the internet and just throw money at problems

• 
  Harley Baevidson (@AsiaTaughtMe) reported 14 minutes ago

  @BAAAM92ISBACK I went down a rabbit hole. Ppl really have reasoning and everything on Reddit. 😳

• 
  GRAW2ROBZ (@GRAW2ROBZ) reported 16 minutes ago

  @rumblevideo Landline phone verification is still broken on Rumble. I tried two years ago and now today. Even a long post on Reddit how people cant get verified on Rumble.

• 
  Tony Zhu (@tonyzhu) reported 20 minutes ago

  Almost been a reddit user for a decade. It's only in highsight do I realize how genius the core principles are 1) presort people by interest, this does cause echo chambers for divisive topics but are also just plain useful for the other 95% of the time 2) tree structured replies, objectively a better experience than linear 3) distributed content ranking: both upvotes and down votes are required and give a sense of participantion

• 
  samUred (@sam_ured) reported 22 minutes ago

  @LindaRozeArt Then post your art only on Pixiv and Telegram. Or you can also try starting your own official Discord server or sub Reddit

• 
  FalterXV (@falter_xv) reported 25 minutes ago

  How to ego bruise witch hunting, TK'ing trolls: Apparently just play the game enough that despite months of lies made by them, the game now openly tells them I have more experience and they can't grief. Who would have thunk? Also, apparently playing the game and being experienced is rage baiting? They do realize I don't throw down SOS flares, right? None of them have to stalk me in the first place, and if they're doing so to try to TK me and I anticipate it and they fail . . . I mean, stay mad cuz bad and stay ego bruised braking Arrowhead's TOS? You could just make your own lobbies. Easiest way to avoid being "mad" you can't come and ruin mine since you need me to carry you. Hope reddit goes easy on you for your whining tears, egotist. Your dunning-kruger is real and you proved the point my tweet that you stole was making too.

• 
  George from 🕹prodmgmt.world (@nurijanian) reported 32 minutes ago

  “Starting small puts 100 percent of your energy into actually solving real problems for real people. It gives you a stronger foundation to grow from. It eliminates the friction of big infrastructure and gets right to the point.“ Derek Sivers I bet anyone who reads this will nod… and then proceed to do the opposite, or a discount version of this advice I get tripped by this all the time It’s counterintuitive to concentrate like this, like a magnifying glass on 1 customer, and make them successful. Ppl instantly think “well I need many customers, I’ll just post this on Reddit to get more signups”, but if you cannot make 1 customer verifiably happy, how will you make a 100 signups happy? But once you make 1 happy then that thing you do will very likely make another happy. It probably will be idea/iteration # 8656, so by that time you have tried a lot - and maybe that’s the point: no first idea is good enough to just win & hit PMF straight away

• 
  Kushagra | DTC Creative Strategist and Copywriter (@copywithkush) reported 34 minutes ago

  The first time founder problem: "I don't know what ads to create" There might be a million ways to solve that problem but this one's my favourite (it's also the easiest): 1. Pull raw customer language data from Reddit threads, YouTube comments and customer + competitor reviews. 2. Dump whatever you find in a G doc. 3. Feed it to Claude or GPT and focus on: → Problems → Phrases customers keep repeating → Frequency of talking points that come up → Core desires they mention/you find → Hook ideas → Anything you find remotely interesting 4. Ask Claude to help you build your first set of personas and ad angles (3 is a good number to begin, for both) This is how you build a messaging foundation without relying on assumptions. 3 things to remember: 1. Frequency matters most. If it's not repeated enough, it's not a pattern. 2. The more raw and unfiltered it is, the better. That's not just info but potentially a hook or a headline too. 3. If it's not specific, dump it. "Great product" won't tell you anything. "This is the reason why I'm sleeping like a log" would tell you tons. You don't need a degree in advertising. You just need to know where to look. P.S. When researching, don't just copy-paste info to put into a doc. Actually read it so you can get a better idea of who your customer is. Trust me, it makes a difference :)

• 
  AwesomeAI (@Awesome_AI_News) reported 35 minutes ago

  A team from the University of York and the University of Calgary analyzed AI programming-related posts on Reddit and found that AI programming agents frequently cause problems due to excessive permissions, including overwriting files, deleting important data, and generating malicious code. The study collected 3801 posts labeled with large models from February 2023 to March 2026, filtered out 446 safety-related posts, and analyzed more than 6000 comments, reflecting the community's ongoing concern about AI programming security issues. 约克大学与卡尔加里大学团队分析Reddit上AI编程相关帖发现，AI编程智能体因权限过大频繁闯祸，包括覆盖文件、删除重要数据、生成恶意代码。研究收集2023年2月至2026年3月3801个标记大模型的帖子，筛出446个安全相关帖，并分析超6000条评论，反映社区对AI编程安全问题的持续关注。

• 
  Hans Jhob (@HansJhob) reported 37 minutes ago

  Wtf is with all these **** on X now?? Did reddit get shut down or did the jews flood us with a bunch of bots? I don't get it.

• 
  Love Bug Rights (@LoveBugRights) reported 38 minutes ago

  @MaryandLupe @Ioanaz4t9 @sonirw Oh, the word is out. Reddit blew the lud on the whole ASC/Elon/Shivon timeline open. I posted it earlier. With the help of Zilis it says. Both women working against Elon. One by stuffing a fake romance down the world's throat and the other trying to "extort" money from Elon.

• 
  Enderman (@endermanies) reported 39 minutes ago

  @leonskvv The way they word their post reminds me of the reddit post saying vaginas should be evolutionary eradicated... Save vibe and I fear same message. Saying someone needs to be tied down to be a good character is crazy. Truly 9 was the most true emotion I think Leon has shown since 2

• 
  kait (@willspainting7) reported 39 minutes ago

  bro you actually cannot make this up… I just read a post on reddit that said that Noah played Will to have TOO much yearning and longing for Mike and since it was the writers’ intention for it to only be a crush, the directors should have told him to tone it down 😭 they are so close to getting it…

• 
  Daniel - Budai Media 📧 (@thedanielbudai) reported 42 minutes ago

  @aleyda @SERanking @PlanableApp Worth checking early: old support answers and forum threads that got indexed years ago and never got updated. We've seen brands fix their own site copy and still get misrepresented because an outdated Reddit thread or FAQ page is still the most cited source behind the scenes.

• 
  0x.Bênav (@0x_Benav) reported 44 minutes ago

  I've been trying to make a post in a while on Reddit but this post keeps getting removed and I have zero idea what the reason is. The last one spent close to an hour before getting removed, if you've faced any issue like this kindly help.

• 
  Khalid Warsame (@KhalidWarsa) reported 46 minutes ago

  @ThomasBurkhartB Reddit, GitHub issues, and the general internet.

• 
  Hans Jhob (@HansJhob) reported 46 minutes ago

  @Lazybratposts Where'd all these **** in the comments come from? Did reddit get shut down? Are the jews pouring in bot **** again?

• 
  Saurav (@saguppa) reported 46 minutes ago

  One of our team built an internal tool to manage our blog pipeline. Not to sell. Just to solve a problem we had. We manage 300+ blogs at SalesRobot. The bottom-of-funnel pages, alternatives, vs comparisons, competitor reviews, were the slowest and most painful to get right. She built something that did it properly. Researched the live SERP. Grounded every claim in our actual product edge. Wrote for SEO, AEO, and GEO in one pass. We used it internally for months. Our content started ranking. Consistently. Then I saw a demo. My first thought: other SaaS teams need this. So we're making it available. It's called SERPent. Type a keyword. It researches the live SERP, pulls Reddit and G2 signals, checks what people are actually asking, confirms pricing and features. Then writes. Publishes straight to WordPress or Webflow. Auto-refreshes every few months as competitors change. Keyword to published blog in 5 minutes. 7 day free trial. No credit card. Drop a comment and I'll send you the link directly.

• 
  yearnalist 🍡 (@lesbianseason) reported 48 minutes ago

  ive never seen a demographic that complains about nonexistent problems more than ******** do with media. it's one thing to say there isn't enough diversity but to say "i just want stories that meet all my specifications" & u didn't even bother to check reddit first. girl.

• 
  The Agentic Operator (@AgenticOperator) reported 49 minutes ago

  @MordyOberstein steer into the skid... acknowledge the weakness before AI amplifies it. sony being expensive isn't the problem. sony never owning the WHY is. address the elephant or reddit writes the story for you.

• 
  TheRangeApe (@TheRangeApe) reported 49 minutes ago

  @Ultra__Mayhem @abysmaldogwater Terrible writing. No wonder films suck now with people like you consoooming whatever handwaved, thoughtless reddit drivel comes your way.

• 
  star 💫🍦 (@gyuseeker) reported 50 minutes ago

  i read the initial run down of the issue on reddit earlier and 1 that i found really sus was how the ex sounded incredibly bitter. i understand the guy for being tired of work and he did direct those words to sasaengs, damn yes they deserve that. both did something wrong but+

• 
  JT MARAX 𓃶 (@idiotcoward) reported 50 minutes ago

  One of the coolest people I know came over to play Silent Hill with me, and I still called their music taste reddit to their face. How do I fix the sickness in my soul?

• 
  aa-yushi (@probablyaayushi) reported 51 minutes ago

  4+ years into content led growth and i have some major tea/notes to spill. for context: - scaled 2 YT channels from 0 - 100K subs - built video content for founders doing 4–5M+ impressions/month - took an IG page from 0 → 10K followers in a quarter - cut influencer costs by 50% while driving 25% conversions - built a 5,000+ person waitlist, w/o spending a single rs. - worked on website copy, launches, retention, distribution + fundraising content. basically, different versions of: “we have a growth/content problem. figure it out.” here’s what all those reps taught me: 1/ understand the problem before touching the solution - “we need reels” is not a problem statement. - do you need awareness? trust? signups? conversion? - retention? - figure out what needs to move first, the channel comes later. 2/ know your audience ridiculously well - their language > your copywriting - their problems > your content ideas - their behaviour > your assumptions the best insights usually don't come from a brainstorming doc but from talking to users, reading comments, lurking on reddit, looking at search behaviour and noticing what people repeatedly care about. 3/ break the problem down to fundamentals - website isn’t converting ≠ redesign the website. - content isn’t working ≠ post more. - growth is slow ≠ increase distribution. sometimes you have enough traffic and the message sucks. sometimes the message works and distribution sucks. sometimes both are fine and the product isn't converting. *find where the system is actually breaking.* 4/ strategy dies on paper - you can spend 3 weeks making the smartest strategy deck in the world. - or ship 10 experiments and actually learn something. hypothesise > execute > analyse > iterate execution gives you information thinking alone never will. 5/ content + organic distribution are one problem before creating anything, know: - who is this for? - why would they care? - why would they share? - where will this travel? - what do you want them to do next? “we'll figure out distribution after” is usually where good content goes to die. 6/ views are a terrible standalone metric - 1M views can do absolutely nothing for the business. - 10K views from exactly the right people can bring customers, hires, investors or users. - know the outcome you’re optimising for before celebrating the screenshot. 7/ you probably don't need more content ideas. you need more depth - one real audience problem can give you months of content. - go deep on: behaviours + data + misconceptions + stories + mistakes+ opinions + solutions - if you're running out of ideas every week, you probably haven't gone deep enough into the problem yet. 8/ analyse EVERYTHING - why did this hook work? - why did people share this but not that? - why did 100K people watch but nobody click? - why did people click but not convert? - why did the idea everyone loved internally completely die? - every experiment should make the next one smarter. 9/ eventually, reps turn into pattern recognition - after enough campaigns, launches, founders, channels and failed experiments, you stop looking only at outcomes and start seeing the mechanics behind them. - “this company got 2M views doing founder reels” tells you almost nothing. - understand why something worked before copying what they did. 10/ don't be loyal to a format. be loyal to the problem - sometimes the answer is 100 influencers. - sometimes it's one really good founder video. - sometimes it's rewriting the website. - sometimes it's a waitlist campaign. - sometimes you don't need more distribution at all. you just need to say the same thing better. the channels, formats and algorithms will keep changing. the job stays surprisingly similar: understand → hypothesise → execute → analyse → recognise patterns → repeat. that's pretty much it from my GPT + overthinking + over-explaining brain. with this, aayushi signing off 🫡 p.s. if you also love breaking down content/growth problems and going unnecessarily deep into why tf is this not working? i’d love to chat. dms are open :)

• 
  AuraVT (@auravtuber) reported 53 minutes ago

  @Ravenger___ That's all the Google ai is but it scrapes for more than 1 source and conglomerates the info Which usually results in worse unhelpful, nothing related, or nonsense info I was looking up a pc error earlier and it gave me information from an unrelated error because it pulled from a reddit thread

• 
  aa-yushi (@probablyaayushi) reported 55 minutes ago

  4+ years into content led growth and i have some major tea/notes to spill. for context: > scaled 2 YT channels from 0 to 100K in less than 12 months. > built founder content doing 4–5M+ impressions/month. > grown an Instagram page 0 → 10K in a quarter. > influencer campaigns at 50% lower cost while driving 25% conversions. > built 5,000+ person waitlists for a side project > worked on website copy, launches, retention, distribution + fundraising content. basically, i’ve been handed different versions of: “we have a growth/content problem. figure it out.” here’s what all those reps taught me: 1/ understand the problem before touching the solution - “we need reels” is not a problem statement. - do you need awareness? trust? signups? conversion? - retention? - figure out what needs to move first, the channel comes later. 2/ know your audience ridiculously well - their language > your copywriting - their problems > your content ideas - their behaviour > your assumptions the best insights usually don't come from a brainstorming doc but from talking to users, reading comments, lurking on reddit, looking at search behaviour and noticing what people repeatedly care about. 3/ break the problem down to fundamentals - website isn’t converting ≠ redesign the website. - content isn’t working ≠ post more. - growth is slow ≠ increase distribution. sometimes you have enough traffic and the message sucks. sometimes the message works and distribution sucks. sometimes both are fine and the product isn't converting. *find where the system is actually breaking.* 4/ strategy dies on paper - you can spend 3 weeks making the smartest strategy deck in the world. - or ship 10 experiments and actually learn something. hypothesise > execute > analyse > iterate execution gives you information thinking alone never will. 5/ content + organic distribution are one problem before creating anything, know: - who is this for? - why would they care? - why would they share? - where will this travel? - what do you want them to do next? “we'll figure out distribution after” is usually where good content goes to die. 6/ views are a terrible standalone metric - 1M views can do absolutely nothing for the business. - 10K views from exactly the right people can bring customers, hires, investors or users. - know the outcome you’re optimising for before celebrating the screenshot. 7/ you probably don't need more content ideas. you need more depth - one real audience problem can give you months of content: behaviours + data + misconceptions + stories + mistakes+ opinions + solutions - if you're running out of ideas every week, you probably haven't gone deep enough into the problem yet. 8/ analyse EVERYTHING - why did this hook work? - why did people share this but not that? - why did 100K people watch but nobody click? - why did people click but not convert? - why did the idea everyone loved internally completely die? - every experiment should make the next one smarter. 9/ eventually, reps turn into pattern recognition - after enough campaigns, launches, founders, channels and failed experiments, you stop looking only at outcomes and start seeing the mechanics behind them. - “this company got 2M views doing founder reels” tells you almost nothing. - understand why something worked before copying what they did. 10/ don't be loyal to a format. be loyal to the problem - sometimes the answer is 100 influencers. - sometimes it's one really good founder video. - sometimes it's rewriting the website. - sometimes it's a waitlist campaign. - sometimes you don't need more distribution at all. you just need to say the same thing better. the channels, formats and algorithms will keep changing. the job stays surprisingly similar: understand → hypothesise → execute → analyse → recognise patterns → repeat. that's pretty much it from my GPT + overthinking + over-explaining brain. with this, aayushi signing off 🫡 p.s. if you also love breaking down content/growth problems and going unnecessarily deep into why tf is this not working? i’d love to chat. dms are open :)

• 
  aa-yushi (@probablyaayushi) reported 58 minutes ago

  4+ years into content led growth and i have some major tea/notes to spill. for context: - scaled 2 YT channels from 0 - 100K subs - built video content for founders doing 4–5M+ impressions/month - took an IG page from 0 → 10K followers in a quarter - cut influencer costs by 50% while driving 25% conversions - built a 5,000+ person waitlist, w/o spending a single rs. - worked on website copy, launches, retention, distribution + fundraising content. basically, different versions of: “we have a growth/content problem. figure it out.” here’s what all those reps taught me: 1/ understand the problem before touching the solution - “we need reels” is not a problem statement. - do you need awareness? trust? signups? conversion? - retention? - figure out what needs to move first, the channel comes later. 2/ know your audience ridiculously well - their language > your copywriting - their problems > your content ideas - their behaviour > your assumptions the best insights usually don't come from a brainstorming doc but from talking to users, reading comments, lurking on reddit, looking at search behaviour and noticing what people repeatedly care about. 3/ break the problem down to fundamentals - website isn’t converting ≠ redesign the website. - content isn’t working ≠ post more. - growth is slow ≠ increase distribution. sometimes you have enough traffic and the message sucks. sometimes the message works and distribution sucks. sometimes both are fine and the product isn't converting. *find where the system is actually breaking.* 4/ strategy dies on paper - you can spend 3 weeks making the smartest strategy deck in the world. - or ship 10 experiments and actually learn something. hypothesise > execute > analyse > iterate execution gives you information thinking alone never will. 5/ content + organic distribution are one problem before creating anything, know: - who is this for? - why would they care? - why would they share? - where will this travel? - what do you want them to do next? “we'll figure out distribution after” is usually where good content goes to die. 6/ views are a terrible standalone metric - 1M views can do absolutely nothing for the business. - 10K views from exactly the right people can bring customers, hires, investors or users. - know the outcome you’re optimising for before celebrating the screenshot. 7/ you probably don't need more content ideas. you need more depth - one real audience problem can give you months of content. - go deep on: behaviours + data + misconceptions + stories + mistakes+ opinions + solutions - if you're running out of ideas every week, you probably haven't gone deep enough into the problem yet. 8/ analyse EVERYTHING - why did this hook work? - why did people share this but not that? - why did 100K people watch but nobody click? - why did people click but not convert? - why did the idea everyone loved internally completely die? - every experiment should make the next one smarter. 9/ eventually, reps turn into pattern recognition - after enough campaigns, launches, founders, channels and failed experiments, you stop looking only at outcomes and start seeing the mechanics behind them. - “this company got 2M views doing founder reels” tells you almost nothing. - understand why something worked before copying what they did. 10/ don't be loyal to a format. be loyal to the problem - sometimes the answer is 100 influencers. - sometimes it's one really good founder video. - sometimes it's rewriting the website. - sometimes it's a waitlist campaign. - sometimes you don't need more distribution at all. you just need to say the same thing better. - the channels, formats and algorithms will keep changing. the job stays surprisingly similar: understand → hypothesise → execute → analyse → recognise patterns → repeat. that's pretty much it from my GPT + overthinking + over-explaining brain. with this, aayushi signing off 🫡 p.s. if you also love breaking down content/growth problems and going unnecessarily deep into why tf is this not working? i’d love to chat. dms are open :)