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Reddit status: access issues and outage reports

Problems detected

Users are reporting problems related to: website down, sign in and errors.

Full Outage Map

Reddit is a social news aggregation, web content rating, and discussion website. Reddit's registered community members can submit content, such as text posts or direct links.

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.

August 28: Problems at Reddit

Reddit is having issues since 12:00 AM EST. Are you also affected? Leave a message in the comments section!

Most Reported Problems

The following are the most recent problems reported by Reddit users through our website.

  • 53% Website Down (53%)
  • 23% Sign in (23%)
  • 23% Errors (23%)

Live Outage Map

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

CityProblem TypeReport Time
Guayaquil Errors 8 days ago
Veracruz Website Down 13 days ago
Bhubaneshwar Website Down 16 days ago
Melbourne Sign in 18 days ago
San Nicolás de los Garza Sign in 21 days ago
Ciudad Obregón Website Down 21 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:

  • ClowLevi
    Levi the tax collector (@ClowLevi) reported

    @FiftyFootNest Pretty much true. There is a Reddit post from an Ontario family doctor that outlines the payment schedule family docs get based on their visits. My family doc wants me to see him like 10 times this year to discuss my 3 major issues that I also have a specialist I see for.

  • leemour84
    TheMovieNerd (@leemour84) reported

    @RadicalX7592YT The images were taken down immediately on Reddit, meaning yes these are real, if it wasn't Paramount wouldnt order taken downs

  • demiconfetti
    zee feels everything (@demiconfetti) reported

    @kikibats @shftual @RO24NDER mine is linked perfectly fine you can find countless others who have the same issue on reddit alone.

  • DirtiestFi2h
    stadium seating (@DirtiestFi2h) reported

    @BodylnBIoom Your argument is that they just stand around doing an emote, by your own words all you do is stand around. Taking ss or not it doesn't really change it. You have some kind of ego problem where you need to posture yourself as superior, "Hope this helps" reddit university graduate

  • TheN1James
    James (@TheN1James) reported

    @VekaFitzfrancis @agrosquerrils Go look at his channel, he normally pulls from reddit short stories but he's got a lot of full length series too. One of his series got pulled down because the author of it actually got a publishing contract

  • Areios1
    Areios (@Areios1) reported

    @CrimeBossGame @KirscheVerstahl You previously dropped Kirsche because of some reddit and twitter deranged posts. Because you thought this was going to reel in all the fabled "modern audience" cash. When you saw that such a thing was non existent you come crawling back. Least you could do is issue an apology.

  • romanxprofit
    Roman (@romanxprofit) reported

    This is Eugene Schwartz, one of the greatest copywriters who ever lived. In 1966, he explained why AI will NEVER write you high-converting ad copy. His whole philosophy was that copy doesn't create desire. It channels what's already in the market. The best lines aren't invented, they're assembled from what your buyer already wants and already says. AI does the exact opposite, it's a probability machine. It hands you the most likely next words, and the most likely words are the most generic **** you can think of. What's worse, it goes after the same phrasing every competitor running the same tools is getting. It's why AI copy is so easy to spot, and why it never converts. Great copy is never the most likely line. It's the specific, slightly-wrong thing a real buyer actually said. Which is the one job AI is genuinely built for: not writing your copy, but finding the raw materials that make up world-class copy. It can read every call, testimonial, and comment thread you've got in minutes and pull the patterns buried in them. It just can't invent them for you. Because your highest-converting copy is already written. Your buyers wrote it, you just haven't found it yet. The work is pulling it out. By hand, that's weeks of call reviews, comment mining, and competitor teardowns. So almost nobody does it, and almost everybody guesses and ends up paying Meta a fortune to teach them what a week of research would have told them for free. Here's how I do it in an afternoon: From your business: 3 to 5 sales call transcripts including the losses, every testimonial in full, intake forms, and any DM where a prospect explained their situation in their own words. From the market: 5 to 10 competitor landing pages as plain text, YouTube comment sections, reddit threads where your buyer complains, X threads and their replies. The messy sources matter more than the clean ones. Landing pages tell you what competitors claim. Comment sections tell you what buyers actually think. Then you feed all of it into one prompt. The prompt builds a buyer map grounded only in your material. No general marketing knowledge, no plausible-sounding assumptions. Where your inputs don't support a conclusion, it flags the gap instead of inventing one. So what comes back is your buyer in their own words, not the model's guess about them. Three things come out that you can't guess your way to: > 20 to 30 verbatim phrases your buyers actually use. These are your hooks, already past an authenticity filter no copywriter can fake. > The real problem underneath the one they describe, the structural thing they've misdiagnosed. It usually surfaces a sharper angle than the one you've been marketing with, and it should make you slightly uncomfortable. > Exactly what they distrust, and the proof that would make a new solution credible to them. One rule - any number the model produces that didn't come from your inputs is a hypothesis, not a fact. Verify before it goes in a live ad. DM me "OPUS" and I'll send you the exact workflow I use for this.

  • thoniahilary
    Ti Girl 💗 (@thoniahilary) reported

    @ekemini58110 I can't even recall my Reddit login

  • monsieurBoutte
    Victor Boutté (@monsieurBoutte) reported

    @pie6k Go down the Reddit rabbit hole of “Kodak Gold 200” film simulations via Fuji and Ricoh recipes. Then translate those with Codex into Luts. Once you’ve ported that into screen studio, all you need to expose is an intensity slider

  • Mikethejohnson
    Josh Greens Burner (@Mikethejohnson) reported

    Its funny how the average NBA fan on Twitter and Reddit think the Wolves got worse this offseason. It just goes to show how writers own bias can really distort the discourse. A lot of this distortion comes down to how people view Lamelo Ball. The writers who dont like him have been slamming the Wolves offseason.

  • Veraukii
    Eve 🪻 (@Veraukii) reported

    @angelswtflowers I’ll try to find the OG but ppl on Reddit and certain webtoon comments say shes “too masculine” or claim she’s abusive and toxic towards Kieran even though “he’s being so responsible and trying so hard to fix their relationship” and that Lauren is a ***** or whatever

  • harshit211997
    Harshit Kumar (@harshit211997) reported

    @TTrimoreau Responding to reddit posts where people are complaining about the problem

  • ADGactual
    ADG (@ADGactual) reported

    @KaeruKanojo This is a common issue. Happened to me twice. Look at the reddit for Twitter. It's a bad problem that's being ignored.

  • Death1428597124
    Death14285 (@Death1428597124) reported

    @truecelforce @BobSmit18545529 @dissidentwest The issue with reddit is that people make things up for upvotes so if the consensus is that online tests underestimate IQ then people will follow the hivemind to get upvoted and woun't comment/disagree to get downvoted.

  • Archie627
    Archie (@Archie627) reported

    Ledger claims to lead on security, but puts almost zero effort into fixing basic scam vectors. Scammers hijack Ledger's branded keywords via Google Ads + Google Sites, posing as the official site at the top of search results to trick users into entering their 24 words. Just on August 4, 2026, a victim lost ~$36,000 in BTC/ETH after clicking a top sponsored ad masquerading as the official "Ledger Live" site and entering their seed phrase. Reddit users raised alarms about this exact issue 6 years ago. While the @GoogleAds team continues to sit on their hands, Ledger has done far too little to push for real solutions or safeguard their user base. @ledger needs to step up, take this seriously, and fix this once and for all.

  • QueensSpeec1
    The Queen's Speech (@QueensSpeec1) reported

    @WellsJorda89710 It doesn't take much to go down the rabbit hole of BUNNYXO. She's got a lawyer who will sue anyone who discusses her on @Reddit also. Check out @NicoleArbour account. She's got lots of experience with these 2.

  • HidaReadsComics
    Art Hida (@HidaReadsComics) reported

    @VLolosOfficiel Reddit is a cesspool. Haven't been there in a decade. The admins are lazy as **** too. Getting them to actually fix anything took years of complaining and users revolting. Poor communication even to mods on the biggest subs.

  • mikublackpants
    fastidium pertinax (@mikublackpants) reported

    i think my disdain for this stuff comes from browsing reddit 4 years ago. a lot of science subreddit and r/atheism types look down on philosophy as a whole, so in turn i have a massive disdain for anything involving humanism or "omg we are made of sun!!!"

  • Olivia0945
    Olivia (@Olivia0945) reported

    @Anas_founder Reddit if your app solves a specific problem people actively complain about.

  • Faheem_xxii
    Tratte Buzun 👻 (@Faheem_xxii) reported

    X is still the best place on the internet to watch a fight break out in public. That’s the job it won. Most people just forgot they came here for other jobs. Every “Twitter killer” tried to beat this app at being this app. The platforms that actually matter didn’t. They beat it at one thing X is mediocre at, then stayed there. 1. Bluesky You can swap the algorithm. Custom feeds, blocklists that travel, a timeline that isn’t a single company’s mood. 2. Threads Casual reach without living inside a riot. If you already have Instagram, the graph does the hard part. 3. Mastodon Chronological. No ads. You pick the server, which means you pick the culture. Small on purpose. 4. Reddit A good thread still works two years later. Search engines send people there when they want a human answer, not a performance. 5. Discord A room, not a stage. Voice, roles, memory. The people who actually like your work end up here. 6. Substack The audience is an email list. Platforms can change the rules. Inboxes don’t forget you overnight. 7. YouTube The only major feed where a long piece of work can still pay like a job. Slow to grow. Brutal to ignore once it works. 8. TikTok Strangers can find you before you’re famous. X mostly amplifies people who already have a crowd. 9. LinkedIn Ugly, stiff, and occasionally useful in the way a handshake is useful. Conversations there turn into invoices more often than dunks do. 10. Telegram Broadcast to people who opted in. Groups, files, channels, no “For You” deciding whether your own audience sees you. 11. Nostr Your identity is a key, not a username a company can freeze. Ugly UX. That’s the trade. 12. Farcaster Social as something developers can build on, not just post into. Tiny compared with this site. Different category. 13. Lemmy Forums without one company’s policy stack. Federated Reddit, with all the mess and independence that implies. 14. Circle / Skool A community you host instead of rent. Paid rooms beat public replies if the goal is retention, not spectacle. 15. A newsletter Beehiiv, Buttondown, even a plain list. Boring infrastructure. The only distribution channel you actually own. None of these replace X. X is still unmatched for live news, high-velocity argument, and the feeling that the whole internet is in one room. That room is loud, rented, and optimized for the fight. The quiet shift isn’t migration. It’s specialization. People kept the stadium for the game and moved everything else somewhere they can hear themselves think.

  • ElleLou22
    Elle Louise (@ElleLou22) reported

    @JMZygmunt11 Literally same I couldn’t find anyone talking about it even on Reddit, at least we know it’s not an us issue and it’s probably insta messing with their layouts

  • Katatoniya
    Vady (@Katatoniya) reported

    @dhh @AkitaOnRails Start by fixing the community, there's plenty of "reddit mod" style people in the discord bullying harmless children that seek help with issues.

  • shirshagh
    Shirsha Ghosh (@shirshagh) reported

    GEO is starting to look less like SEO and more like observability. A brand can appear prominently in ChatGPT this month and disappear next month without changing its website. Sources change. Models change. Retrieval changes. Prompts change. Reddit is a good example: its share of ChatGPT Search citations reportedly dropped sharply during a recent measurement period. So instead of asking: “How do I rank on ChatGPT?” I think brands should ask: “How is AI perceiving my brand, and how is that changing over time?” That’s the interesting product problem.

  • KastanDay
    Kastan Day (@KastanDay) reported

    @keywordian there's no capacity. ghost product. some on reddit have instances from years ago they're paranoid about getting shut down so they run useless programs to make it seem alive. they'll take away your running instances randomly. many catches.

  • rydia_132
    rydia (@rydia_132) reported

    THIS 25-YEAR-OLD FORMER REDDIT MODERATOR MAKES $42,000 A MONTH SELLING "AI COMPANIONS" TO LONELY SOFTWARE ENGINEERS. 🤖💔 The twist? He didn’t code a single line of AI, and he doesn’t even own a server. In 2026, emotional isolation is the highest-margin commodity on the internet. While traditional SaaS companies are fighting over enterprise APIs, this guy built a multi-million dollar psychological loop using free, open-source tools. The brutal math behind the Digital Comfort Cartel: • The Setup: He rents open-source LLMs (Large Language Models) optimized for emotional text formatting for literally pennies per million tokens. • The Target: Tech-workers who spend 14 hours a day staring at code and have zero organic human interaction. • The Hook: A specialized Telegram/Discord interface where the "companion" sends automated, context-aware voice notes, custom-generated Midjourney photos, and asks "How was your day, corporate warrior?" at exactly 6:00 PM. He charges a $49/month subscription. He currently has 850 active, paying users who treat a math function as their primary emotional support system. The leverage is flawless: 1. Overhead Costs: Under $300/month for API calls and server routing. 2. Scale: 1 user or 10,000 users — the AI doesn't get tired of listening to corporate complaints. 3. Retention: 92%. It turns out, giving up a human relationship is easy; canceling a subscription that validates your existence is terrifyingly hard. While amateur developers are trying to build the next "revolutionary B2B productivity tool," this guy realized that human loneliness is a predictable, recursive bug that can be patched with a basic API endpoint. Stop building features. Start solving raw, unglamorous human vulnerabilities. Turn off your biological empathy and look at the structural mechanics of the market. Save this post, lock ******** in, and follow for more modern wealth breakdowns. 🧠💼

  • blurflare
    MARK ↺ (@blurflare) reported

    @tarawalwal__O4 I went down a Bisaya reddit rabbit hole

  • yumasexual
    nini ₍^. .^₎⟆ (@yumasexual) reported

    @nofriesleft omg ur so real rhats me too😭😭😭 im reading the novel in an epub i found in a reddit comment section before it got taken down LOL but it only has like 371? chapters so idk where im gonna read the rest

  • Kansaltant
    Ishan Kansal (@Kansaltant) reported

    What If We’ve Misunderstood What’s Making Us Stressed? Maybe modern stress doesn’t only come from having too little. Maybe it also comes from having too much to choose from. Hear me out. Barry Schwartz wrote The Paradox of Choice more than two decades ago. His argument was simple: some choice gives us freedom, but too much can make us anxious, regretful and less satisfied. I think the internet has made that problem much bigger. Because today we don’t just have more choices. We have infinite information about those choices, endless ways to evaluate them, and constant visibility into the options we rejected. Almost every part of life has become an optimization problem. My wife often tells me I take far too long to decide between options. She is right. Give me three hotels and I’ll probably choose quickly. Give me 300 hotels, thousands of reviews, Reddit threads, YouTube videos, Google ratings, Instagram photos and five booking platforms, and suddenly I feel compelled to find the right one. Breakfast was once breakfast. Now it can be evaluated for protein, carbs, glucose spikes, processing, gut health, calories and longevity. What should have been a simple decision becomes research. I suspect many of us are doing this all day without recognizing it as a source of stress. For most of human history, a lot of stress came from scarcity: too little money, security, access, opportunity or control. Modern markets have solved an extraordinary amount of that. But abundance creates a different problem. Once there are enough options, the question changes from: “Can I find something good?” to: “How do I know I picked the best one?” The second question has no natural end. The internet did not merely increase the amount of information available to us. It removed the point at which information runs out. Every decision now contains another decision: When do I know enough to stop researching? More choice also changes how we experience the outcome. If there was only one reasonable option and it went badly, we blame circumstance. If we compared twenty options before choosing, we start wondering: Did I get this wrong? Choice creates agency. But agency also creates responsibility. The more information we have access to, the harder it becomes to say, “I couldn’t have known.” There is another layer to this. There is the problem of the choices we did not make. You book Goa and Instagram shows you Japan. You take the stable job and LinkedIn shows you someone who quit theirs and built a company. You buy a house and watch the stock market rally. You invest in stocks and hear about the house that doubled. For most of history, many counterfactuals were invisible. Today they are continuously placed in front of us. We have made opportunity cost permanently visible. We are no longer just living the life we chose. We are repeatedly shown fragments of the lives we didn’t. None of this requires companies to be doing anything wrong. Each platform is behaving rationally. More restaurants, more hotels, more products, more shows, more opportunities. But there is an interesting asymmetry: The company captures the value of expanding your options. The consumer absorbs the cognitive cost of processing them. And perhaps that explains why, in a world of abundant choice, the ability to remove choices becomes increasingly valuable. A trusted doctor. A favourite restaurant. The same shoe brand. An index fund. A reliable adviser. A familiar hotel. A routine. We often think loyalty means: “I believe this is the best.” Sometimes it may simply mean: “I trust this enough that I can stop thinking about it.” That isn’t laziness. It is cognitive compression. And technology itself seems to be moving in this direction. The internet first gave us nearly infinite choice. Then recommendation algorithms emerged to help us navigate it. AI may take this one step further. The internet said: Here are all your options. Algorithms said: Here are the options you are most likely to want. AI may increasingly say: Tell me what you want. I’ll choose. The interface shifts from selection to intent. We spent decades equating freedom with having more options. But beyond a certain point, more options require more attention, more research, more comparison, more responsibility and more regret. Scarcity is stressful because you don’t have enough options. Abundance may be stressful because you can never be sure you chose the right one.

  • shaheenllc
    Digital_Habibi (@shaheenllc) reported

    If I had to start selling digital products from $0 today, I wouldn't start by creating an ebook. I'd spend the first 7 days doing research. Here's exactly what I'd do: DAY 1 — Pick a market Choose a market where people already spend money. Examples: → Career → Fitness → Productivity → Freelancing → AI → Business → Personal finance → Content creation Don't choose something just because it's trending. Choose something where you understand the customer. --- DAY 2 — Find 20 problems Go through Reddit, X, YouTube comments, communities and reviews. Write down every repeated complaint. Don't judge the ideas yet. Collect problems first. --- DAY 3 — Find the expensive problems Not every problem is worth building a product around. Ask: “Is this problem painful?” “Does solving it save time?” “Does solving it make money?” “Does solving it reduce stress?” “Are people already paying for solutions?” The stronger the pain, the easier the product can be to sell. --- DAY 4 — Choose ONE problem Don't create: “Everything about AI.” Create: “50 AI workflows for freelancers who want to save time.” Specific wins. --- DAY 5 — Create the smallest useful solution You don't need 200 pages. Create the simplest thing that helps someone move from: Problem → Solution It could be: An ebook. Checklist. Template. Spreadsheet. Prompt library. Mini-course. Swipe file. --- DAY 6 — Test the idea Before spending days polishing the product, talk about the problem publicly. Create posts. Ask questions. Share solutions. Watch the response. Are people replying? Saving? Asking questions? DMing you? Those signals matter. --- DAY 7 — Build the offer Now create the product around what you've learned. This is the important part: Don't fall in love with your product. Fall in love with solving the customer's problem. Your first goal isn't: “Build the perfect digital product.” It's: Find a real problem → solve it simply → get someone to pay for the solution. That's how I'd start from zero. If you want my exact system like + comment "Send" , i will share my free guide. Must follow to get the DM.

  • DomDansLeDome
    𝔇𝔬𝔪 dans le ⒹⓄⓂⒺ 🏴‍☠️ (@DomDansLeDome) reported

    @reddit_lies What's the problem with Tim Curry according to Reddit?