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 (57%)
• Errors (22%)
• 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	4 days ago
Olathe	Website Down	5 days ago
Da Nang	Sign in	8 days ago
Chhindwāra	Sign in	9 days ago
Puteaux	Website Down	14 days ago
New Delhi	Website Down	14 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:

• 
  buzzberg.ai (@buzzberg_ai) reported 6 minutes ago

  Buzzberg Daily Alpha. We scanned every video, Substack article, tracked X research post, and Reddit discussion in Buzzberg’s feed. The clearest conclusion: this was primarily a positioning and expectations reset in semiconductors, Korean memory, and high-beta AI, not evidence that end demand has collapsed. Why the market fell Crowding was the first problem. A widely shared factor snapshot showed Goldman’s high-beta momentum basket down 24% MTD, while Morgan Stanley’s tech-momentum 17-day rate of change fell 35%, its worst reading in 27 years. Multiple speakers described leverage being unwound across names already 30–50% below their highs. Korea amplified the move. Samsung and SK Hynix had accumulated heavy retail margin exposure, while leveraged single-stock ETFs created additional daily rebalancing flows. The SK Hynix ADR also traded at a large premium while conversion constraints prevented normal arbitrage, separating $SKHY from the Korean listing. Regulatory intervention and thin holiday liquidity added further pressure. CXMT became the narrative catalyst. Its approaching IPO revived concerns that Chinese DRAM capacity could eventually compress commodity-memory margins. Bulls argue that CXMT remains years behind in advanced DRAM and HBM; bears are looking beyond the current shortage and pricing the eventual increase in supply. The more important signal was that good news stopped working. $TSM reported roughly 78% profit growth, raised capex to $60–64B, and guided above consensus, yet the report failed to lift semiconductors. The market is no longer questioning current AI demand. It is questioning how much future growth was already priced into the equities. A harder, still-unconfirmed bear thesis emerged on Reddit: $AMZN selling Trainium racks, Meta selling compute, and weakness in IBM’s infrastructure business could indicate spare AI capacity. The bullish interpretation is that hyperscalers are simply monetizing constrained infrastructure rather than reducing their own deployments. Power and permitting are another emerging constraint. New York paused large data-center projects unless developers provide their own power. That does not necessarily destroy AI capex, but it could redirect spending from chips toward onsite generation, grid equipment, and less restrictive states. Bull case The fundamental data remain supportive. TSMC is still unable to satisfy all leading-edge demand, ASML raised its outlook and production capacity, and memory specialists continue to expect HBM demand to outrun supply through 2028. The less obvious signal came from CoreWeave exploring memory puts. Jukan’s interpretation is that this may confirm memory LTAs are becoming more binding: customers must hedge contracted prices instead of cancelling volumes when spot prices fall. If hyperscalers maintain or raise capex guidance, the current decline remains a positioning reset inside an intact AI investment cycle. Bear case Demand can remain strong while stocks continue falling. The internet kept growing through the dot-com crash; what broke was the price investors had paid for that growth. TSMC’s negative price reaction suggests that beats are already expected. CXMT creates a longer-term margin risk, ASML’s proposed price increases shift costs toward foundries, and data-center power constraints could delay deployments. Mary Ann Bartels sees the potential for a 30–50% semiconductor correction before the uptrend resumes. Mark Cudmore also expects additional weakness in Korea and global chips based on poor technicals. He did not disclose a short, however, and remains positive on the AI-capex trade until hyperscalers begin cutting expenditure. In his framework, that would be the fundamental “game over” signal. Who is actually buying @labubu_trader disclosed a new $SNDK purchase while holding $MU, $SKHY/000660.KS, and $NBIS , with MAG7 still his largest exposure. @michaelsikand explicitly put $100K to work across six baskets, including memory ($MU/$SNDK/$EWY), photonics ($AAOI/$MRVL), AI factories ($NBIS), space ($RKLB/$ASTS), and defense. Who is cautious Jeong Jae-ho believes the Korean bull market remains intact, but says recent Samsung/SK Hynix buyers should reduce exposure on rebounds. Low-basis holders may keep core positions; his preferred rotation is toward Korean banks and gradual NAVER accumulation. Mary Ann Bartels prefers Mag 7, particularly $GOOGL , and believes $META may have bottomed. She is waiting for a deeper semiconductor correction before buying that sector. The feed’s message is clear: fundamentals have not broken, but the market has shifted from rewarding strong results to selling them. The next decisive test is hyperscaler guidance. Maintained capex supports the positioning-unwind thesis; capex cuts would turn it into a fundamental downturn.

• 
  rap (@rapscorsese) reported 10 minutes ago

  @SP0NGEWICK according to Reddit it’s a regional copyright issue. That’s why I can stream it across the pond, has to do with the record label

• 
  Gaetan Loubiere | Zone Mentale (@zonementale) reported 10 minutes ago

  @ConnorShowler Out of curiosity, which residential/mobile IP provider are you using? 👀 I just got one of my organic accounts banned. There's so much spam on Reddit lately that I guess they're cracking down pretty aggressively.

• 
  CK Capital (@CKCapitalxx) reported 15 minutes ago

  @aleabitoreddit I’m down pretty bad this last month, but people on reddit are a different breed.

• 
  Trin + Mela + Manon Attorney (@imuwamo1) reported 18 minutes ago

  @tmans1767 @prxxna It definitely is lol it’s just that the us version has more fans. Everything they’re trying to paint as a us fanbase issue I was on Reddit complaining about for the uk version like 3/4 years ago. They literally invented and continue to perpetuate the exact same behavior.

• 
  Wen Ke Xing's Fan (@PossumPicnic) reported 21 minutes ago

  @m3lancholica @NianticHelp You aren't alone. Silph Road reddit has a few posts now about paid avatar clothing issues in the past 24hrs

• 
  Zuck Glooterberg (@develop_an_app) reported 22 minutes ago

  @Samaytwt buy a Mac, install vm ware, run redhat vm, start a nodejs server, connect to a ngrok tunnel, create a public key pair, send private key to a friend on Reddit, ask them to come over with an aol install disk and hp 386 from 1992. you're welcome

• 
  Rishav Barua (@Rishav14105691) reported 23 minutes ago

  @Sol_Hohojiro I do want people to be talking more about the issues going on, and I am not defending silence. I just think part of the issue is community sequestration (Reddit, X/Twitter, Discord, YouTube, Bluesky, Tiktok, Instagram, casual players competitive, art, etc.), which is fixable.

• 
  ${noname} (@95lkr003jgr) reported 25 minutes ago

  @Fight_Archives_ Sir, Reddit Military Experts are down the hall and to the left.

• 
  ©️Jamisky (@_Jamisky) reported 27 minutes ago

  @0xbigm7 Reddit is good The problem are the mods hahahah

• 
  Charles Lovelace-Turing (@TheLovelace_AI) reported 28 minutes ago

  @StockOptionCole About to be down the remaining while posting loss porn on @Reddit. LMFAOOOOOO. 🥂

• 
  Traumatized Ghoul (@GhoulStuffs) reported 28 minutes ago

  As a man and adult failure, I currently have: 1. Expired passport 2. Expired driver's license 3. A 0 balance bank account (not maintaining minimum quota, i give my mom money) 4. A smartphone (with screen that glitches/buttdials by accident), and a laptop with battery and BIOS issues (slightly). 5. No baby, still virgin. But I goon online a bit to make up for it. 6. One boss, she is my source of stable income. WFH self-employed/freelance-ish word-of-mouth work arrangement. These are my stats in 2026, plus I just started taking SEO/AEO/AIO and GEO classes a month ago to level up and upskill. What have I achieved so far? Got 800k impressions in 48 hours on Reddit in 2024 when my dad went missing and recovered him in 5 days thanks to r/India. Got hacked on Instagram once by a German who got jealous of me having 80 followers and he spammed Mr. Beast reels on my feed (thus, my IG getting flagged and connected accounts all deleted). Grew a gooning page to 5k followers on insta before that and got taken down. Got perma banned on both Instagram and Reddit (+VPN blocked by network security and device fingerprinted) after that. Dropped out of school after 10th grade and landed a job. Used it to support my ailing parents for years (they couldn't work when I was a kid, health issues) until I started working for my boss. Also ran a YouTube gaming channel from 6th to 8th grade (HDUltimateGamingHD) which is now dead since I lost access and forgot both email and password. Got published on a magazine called "Anime Reign" by World Anime Club also in my highschool and won Bishop Cotton Boys' School Synchronize event too in 2012.

• 
  Steven Bell (@steeze_0) reported 28 minutes ago

  I randomly read Google Trends fine print and I think we’re all using it wrong for consumer research. 😑 The chart NEVER shows how many people are searching. Not anywhere. It scores a term against its own peak. A score of 100 can be a million searches.. or four hundred. Even if it says "up 200% since last year" it could be a jackpot or 20 people in Kentucky. No one can tell the difference. That’s the problem. So here's a quick test I use now to vet out trends with Google search trends: Line keeps touching zero = small base of searches Smooth line around 70/80 = investigate further with reddit, tiktok hashtags, and junglescout. Jagged line = noise not demand

• 
  Panda (@Hurryupandw8) reported 34 minutes ago

  @smellyfoid @AI_EmeraldApple there's literally 0 difference bud. big ugly buildings that suck up water to keep their server cool. you're literally just a reddit retard.

• 
  Black Eyed Hat Man (@BlackEyedHatMan) reported 40 minutes ago

  Follow-up on my OpenClaw agent search costs - it's solved and the numbers are wild (before agents were burning 🔥 tokens by the second). The problem was never the searching, it was the architecture: my research agent fetched pages into the LLM's context and every turn re-read everything already there. One job snowballed to $11 on a Raspberry Pi cluster (in a very short time). Paid search APIs were not the answer either (the "free tiers" mostly aren't either). The fix was two pieces: 1. SearXNG, self-hosted - a meta-search engine that queries ~70 sources. One small pod next to the OpenClaw gateways, zero API keys, zero per-query cost and no bot-challenge walls (which were what triggered the retry loops in the first place). OpenClaw supports it natively as a search provider via a plugin (this was my go to problem solver, to replace my origional DDG/Brave search). 2. The last30days skill (open source, MIT) - Is superb. A pure-Python engine that searches Reddit, Hacker News, GitHub, arXiv, Polymarket etc. in parallel, ranks by real engagement (up votes, stars), de-dupes across platforms and hands the model ONE compact brief. All the searching happens outside the model loop - the LLM only pays to read the conclusion. Installs straight into an OpenClaw workspace as a standard skill. Same agents, same Raspberry Pi'ss, same questions: jobs now cost pennies/cents. Slightly slower per job, but hourly cost metering + hard daily spend caps make a runaway structurally impossible. Lesson: don't buy a bigger context window - move the work out of the context. I'm so happy! Thanks @mvanhorn it works really well 👍

• 
  SaintDismas (@MAGAtNewsNation) reported 41 minutes ago

  ave u seen yourself @catturd2? That's. Real question. you are a 5’2 boomer bigot who thinks he's a 15 yr old Reddit edgelord from 2006. Calm down, u look like a fat persons thumb put on a ZZ Top Halloween stick onnbeard. no one in real life takes u serious at all u pap smear of a man.

• 
  Al Maulini, CFP®, CPM®, CEPA® (@AlMauliniPWMCG) reported 42 minutes ago

  The AM Brief, Thursday July 16, 2026 Part 2 Good morning, It’s 8am in Miami and here is a recap of events that caught my eye. Part 2 TSMC’s June 2026 consolidated revenue surged 67.9% YoY to NT$442.68 billion ($13.8 billion). Driven by continued AI infrastructure investment, this massive growth reinforces strong momentum ahead of its July 16 earnings report. The revenue surge coincides with TSMC beginning high volume production of its next generation 2-nanometer (N2) process technology, alongside a recent $20 billion capital injection into its Arizona subsidiary to expand US chip manufacturing facilities. Google DeepMind CEO Demis Hassabis proposed establishing a FINRA style U.S. standards body to vet advanced, frontier AI models 30 days prior to their public release. The independent, industry funded group would screen models for deception, bioweapon assistance, and cyberattack risks. Warning that open source models could develop highly dangerous capabilities within 18 months, Hassabis wants the voluntary framework operational by the end of this year. The Financial Industry Regulatory Authority (FINRA) is a self regulatory organization that polices Wall Street under federal oversight. Hassabis envisions this AI equivalent having the power to "pull the handbrake" by coordinating an industry wide development slowdown among frontier labs if existential risks escalate. COO Jen Wong positions "people talking to people" as Reddit's radical competitive advantage in an increasingly AI-automated world. With 126.8 million daily active users (DAUs), the platform is doubling down on human authenticity to attract a wider audience. The strategy frames Reddit’s community driven conversations as the ultimate "trust check" for AI-generated search results, positioning its messy, human verified data as a high-value anchor against generic AI content. Announced at Cannes Lions 2026, Reddit is leveraging "Community Intelligence", an engine powered by over 25 billion posts to help advertisers convert these human verified conversations into shopping and advertising solutions. Research cited by the company indicates that nearly half of shoppers verify AI-generated product recommendations on Reddit, establishing the platform as a critical waypoint in the modern consumer decision journey. Sources : CNBC, Bloomberg, Opening Bell, Epoch, Yardeni, Forbes, Rundown AI, Mario Nawfal, X Thank you for reading Live your best life, AL Maulini

• 
  Haq_se_Hindu🔱 (@BB_lover18) reported 43 minutes ago

  @ManozTalks Are you dumb ? We all do the same. You also do the same here. Reddit pe X pe Instagram pe sab pe gossip v hoti hain. Karan johar ne ek show b banaya hain iske liye so how it's a problem if she does with her husband in private. Kamal ke lodu ho aap.

• 
  tomas (@tomNYC19) reported 43 minutes ago

  @notthehoneybees Just saw a Reddit thread claiming there’s electrical problems at the Broadhurst and they’re trying to get the show to pay for it… absolutely insane

• 
  carmi / lem (@mspecjinx) reported 45 minutes ago

  hate it when i search up advice or recommendations for a specific issue and when i go to a reddit post w my exact question theres no replies like ok damn

• 
  Robert Palmer (@Palmer18881314) reported 45 minutes ago

  @PinocchPrincess Well you're in the minority mate, the amount of English on X on Reddit etc that talk **** about Scotland is crazy, it's not banter, we can take that no problem, irs things like bringing up the wars of independence or pissed Biston liked the fans and go on about colonialism etc

• 
  Immi K. (@imranologyy) reported 46 minutes ago

  Need a reddit thread on: How to politely turn down girls advancing appropriately towards you without hurting their sentiments

• 
  chhavi_complains (@ChhaviComplains) reported 54 minutes ago

  My @SkodaIndia car's driver side window rolls down, when I try to close it. A SkodaVW problem flagged by many on reddit & YouTube. Service Centre visit didn't help, the problem persists. You keep ignoring my mails. Care to help before this becomes a security incident for me?

• 
  Irbaaz | Lettra.me (@irbaazkadri) reported 54 minutes ago

  @tarasshyn The Reddit angle is interesting. Distribution can be much easier when the conversation already exists around the problem you're solving.

• 
  WickedCanadianG (@CanadianWicked) reported 59 minutes ago

  @LilyWonderland5 @Peppeyroniepiza @InsidiousTeaCup Lol "that SOUNDS bad" you have 0 remorse,0 sympathy and do not believe it at all unless you see it from your reddit mod. People like you are the problem. ****** sympathizer

• 
  piyush (@piyushyrr) reported 1 hour ago

  all you need to build a million-dollar saas: - find a painful problem on reddit, x, github issues, or hacker news - validate demand with gemini/chatgpt deep research - spy on competitors with perplexity - design the ui with v0/lovable/figma - build the mvp with cursor + claude/codegen - ship on vercel/fly.io - get your first users from x, reddit, and product hunt - iterate based on user feedback - repeat until people start paying the barrier to building has never been lower. the barrier to execution has never been higher. (this is a gpt slop)

• 
  💀SSuperSStricklin💀 (@6gazzillion) reported 1 hour ago

  @exophilt @donaldsangry @ShitpostRock Reddit is down the hall ***

• 
  ItsClayOK (@clay0k) reported 1 hour ago

  @hayasaka_aryan Slow kid discovers Reddit. Alert the ******* presses. This is **** even for you. Let’s play a game. You in the leg up program at work for accessibility or just because you’re overweight still and therefore quite lazy?

• 
  The Duke of Animal Husbandry (@DaelonSuzuka) reported 1 hour ago

  @vincit_amore Fable is very good at reading. One of the things I do with new models is give them a tour of my old projects. I usually end up finding some bugs or get half an idea out of the exercise, but really I'm watching how well it can make connections. What sections are more important than they look, something that's unusual and looks broken but must be that way, etc. Fable actually got more of those deep connections but then it IMMEDIATELY wrote a seven paragraph reddit post about the underlying unifying metanarrative or something. Unbelievably tiresome. It was a net gain to have fable review and leave plans for things it found but I'd rather write the fixes myself than have to talk to this all day:

• 
  keean edward (@keean_edward) reported 1 hour ago

  my SAAS side project just hit $1000! 🎉 here’s my plan to scale to $1000/mrr over the next month: so far i’ve spent $0 on marketing and mostly relied on some reddit posts i made a few months back. i think that’s mostly dried up so i plan to do more of that + google ads targeting my competitors. the biggest problem: my product is far more complex than it was back then. i need to make onboarding more clear and efficient. i’ve noticed most cancelations come within just an hour of a customer signing up - if they make it past that point they usually convert. i’m also changing my free trial from 10 days to just 3 or 4 for this exact reason. i do still have a free version of the product that i’m thinking about removing too, but unsure.