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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.

At the moment, we haven't detected any problems at Reddit. Are you experiencing issues or an outage? Leave a message in the comments section!

Most Reported Problems

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

  • 62% Website Down (62%)
  • 28% Errors (28%)
  • 11% Sign in (11%)

Live Outage Map

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

CityProblem TypeReport Time
Stockholm Website Down 1 day ago
Manchester Errors 2 days ago
Istanbul Website Down 3 days ago
Edmonton Website Down 7 days ago
Pune Sign in 8 days ago
Saint-Pierre Errors 9 days ago
Full Outage Map

Community Discussion

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Reddit Issues Reports

Latest outage, problems and issue reports in social media:

  • NotThaatKewl
    Konceptually Kewl (@NotThaatKewl) reported

    @FeeHeath1975 @lynne_prior @owltwting No, it's grifting and people should raise voice against grifting. This is tricking people into engagement. Engagement farming is rampant on the platform and many people are annoyed with it. I can see people talking about it on reddit community. You can support grifting, no problem.

  • realZacRepinski
    Zac (@realZacRepinski) reported

    @healthychangez I’ve seen tons of people say they didn’t have any gluten issues while visiting Europe, I’m sure there’s tons of reports and people’s experiences on Reddit as well that can back that

  • dfgdsfgxcf
    Angelika (@dfgdsfgxcf) reported

    @AdrianDittmann this regularly breaks my brain when I talk to my brother, while I stare it down, he switches to some bs he read on reddit and both pretend we are just people who read too much and like to use funny words and hope the rest of the family gets distracted by something else fast

  • Simao237
    Simao (@Simao237) reported

    5 signs AI engines do not know your product exists: 1. You ask Claude about your niche and your product name never comes up. 2. Your competitors get recommended in threads you have never posted in. 3. Your only Reddit mention is your own launch post from 6 months ago. 4. Perplexity cites your competitor’s blog when answering questions you wrote content for. 5. You have great SEO on Google but zero presence in AI search results. If 3 or more of these hit, you have a GEO problem. The fix starts with knowing which communities AI is actually reading. That is what AIRankCite maps for you. Save this and check your own product today

  • turtwigsfire13
    Twiggs (@turtwigsfire13) reported

    @GraffTheChrono @direYGO It's the X-men if the X-men were a federal organization tasked with taking down other mutants, that's literally in the header of the reddit thing you posted

  • theAIdreamer
    iamfaheem (@theAIdreamer) reported

    The hardest part of building Buddyy isn't the tech. It's deciding what to ignore. I track thousands of conversations across X, Reddit, and forums every day. The signal-to-noise problem is real. 99% of what I find is people venting. 1% are people who actually want to buy. Training that filter is the whole job right now.

  • allenxmarketing
    The Growth Engine (@allenxmarketing) reported

    I pulled 12 ad headlines from one Reddit thread in 9 minutes. The thread was an r/SaaS post: "anyone else burned out on AI tooling?" 47 comments. Real founders. Real frustration. I dropped the URL into a Claude Skill I built last weekend. It pulled 3 things from every comment: The pain. What was actually broken for them. Their objection. Why they hadn't switched yet. Exact phrases. Verbatim quotes of 6+ words. 9 minutes later I had a sortable table. 28 rows, sorted by emotional intensity. Top 3 phrases went straight into a landing page test that night. No paraphrasing. The awkward real wording is what makes copy land. One row read: "paying for 4 AI tools and using 1." That became a headline test against a generic control. CTR up 18% in 4 days. The lesson isn't really about Claude Skills. It's about where the language lives. Buyers write your best copy when they're frustrated at midnight on Reddit. You just have to go listen. One rule I follow: mine the language, not the people. Never paste usernames in ads. I wrote up the full Skill prompt and the 3-tier headline framework. Free guide. 1. Connect with me. 2. Comment REDDIT and I'll DM it over.

  • VentiAtMidnite
    coffee is CELEBRATING (@VentiAtMidnite) reported

    I posted on reddit (mistake I know) that I wanted suggestions for a fun car for a certain budget and some genius said I should get a TVR. Yeah dude no problem, why don't I just burn all my money as well

  • ClarkPolner
    Elizabeth Hudson (@ClarkPolner) reported

    Text data exploded (and made LLMs possible) not only bc things like HTML5 or Wordpress or Reddit made it near-zero marginal cost to create/share - but **ALSO** bc writing publicly delivered instant prestige/citation payback, and text is easy to aggregate; each document or paragraph is mostly self-contained and is interpretable in isolation. PDB followed the same pattern: Possible bc crystallography; “cheap” bc publicly funded; incentives to deposit (more citations, more follow-on work), and straightforward to pool. But most biology data generation doesn’t look like this: 1. Sky-high cost to generate (wet-lab time, reagents, sequencing; even the “$100 genome” isn’t really $100 fully landed, and unlike text, biology has layers - so genomes aren’t all you need). If it cost $1 to reply to a subreddit or in a comments section, LLMs would look a lot different. 2. Enormous disincentives to share (you surrender IP, first-mover advantage, or grant priority). Academics are generating data with public funds, and are compelled to post their data publicly, and it’s still near impossible to get people to share their FULL data set in an easy to download form. (Because it’s better for your career to retain what you can so that you can publish on it.) And it’s even worse in private industry for obvious reasons; “I’ll spend your money and someone else will reap the reward” is, I assume, a hard pitch to make. 3 Poor aggregability: unlike text, every biological measurement is entangled with rich, often non-standardized metadata—sample provenance, exact protocols, instrument settings, controls, post-processing. Without the full context bundled, you can’t compare two datasets. (And what is shared now is almost never all of the raw data and all of the meta-data; it’s a distilled set of results or interpretations, the conditions for which you’ll never know.) Bottom line – platforms that make data generation cheap and easy are necessary, but they are not sufficient. They make it possible to generate @mkoeris’s “common crawl for the living world.” You have to find a way to make it easy to aggregate and rewarding to contribute. That’s what makes it probable. Not a technical problem. It’s an economics problem.

  • ShraddhaShips
    Shraddha (@ShraddhaShips) reported

    Distribution channels that are actually working for indie AI app makers: - Reddit (find the subreddit where your user complains) - Product Hunt (for visibility, not revenue) - Niche newsletters (sponsorships or shoutouts) - X building in public (slow but compounding) - SEO-optimized landing pages targeting "[job] + AI tool" Pick two. Go deep. Don't spray.

  • BeautyFullXXX
    BeautyFull Stretch (@BeautyFullXXX) reported

    Day 11. Over 72k views & STILL no human response on Ticket NZVLN3-X45XN. 🤯 For a massive site to ignore a 100% compliant, high-engagement creator for 11 days while my business loses real revenue to a bot error is unacceptable. It’s time for a manual review. @Reddit

  • CustomWetware
    Custom Wetware (@CustomWetware) reported

    @tenobrus @DaveScolte On reddit each vote has the same value to the algorithm so bots are free to manipulate what gets recommended to you. And also the moderator issue. Good subreddits require good moderators but no sane, mature expert wants to be a moderator.

  • bbaddapp
    sleed (@bbaddapp) reported

    @Apple_Pitou @Demonhonho oh my god appleshitou has broken reddit containment

  • RennerWarRoom
    Renner War Room (@RennerWarRoom) reported

    @johncardillo Rich coming from a campaign whose advisor spends more time posting vulgar meltdowns online than explaining why their candidate keeps stepping on rakes. If your entire strategy is screaming “vile!” while acting like a drunk Reddit commenter, maybe the problem isn’t us. Projection is a powerful thing.

  • guilippert_v4
    Guilherme Lippert (@guilippert_v4) reported

    @dakota_lanee This is why SEO with AI can't just be more pages. Trust is moving toward lived context: Reddit threads, product discussions, support issues, actual user language. The edge is a knowledge layer that captures that, not content volume alone.

  • realarmaansidhu
    Armaan Sidhu (@realarmaansidhu) reported

    A Reddit confession went viral. A 22-year-old with terminal cancer took out a credit card with $6,500 limit, 0% APR for 20 months, and bought what he wanted because the debt would die with him. The replies called him a hero. The structural read is harder than either framing. The mechanism. US credit cards charge an effective average APR of 24.5% in 2026 to compensate for default risk. Lenders price expected losses across millions of accounts. Terminally ill borrowers who max accounts they don't intend to repay become statistical noise in a system designed to absorb them.The numbers. ~41% of Americans die with credit card debt averaging $6,400. Lenders write off ~$130B/year in unsecured consumer debt collectively. A single $6,500 default by a terminal patient costs the issuer ~$6,500. The same amount in compound interest gets recovered from ~50 healthy borrowers paying minimum payments over 5 years. The structural read. The system isn't broken. It's exactly what it looks like. Lenders extract value from the healthy and absorb losses from the dying. Both flows are priced into the average. The "hero" framing flatters the borrower without acknowledging the cost still gets paid by other consumers. The honest read. A dying person enjoying months they couldn't otherwise afford is not the moral failure here. The moral failure is a healthcare system that left a 22-year-old with $2,000 in savings after two years of cancer treatment. The credit card is the symptom. The treatment economics are the disease.

  • trovestudio_org
    TroveStudio (@trovestudio_org) reported

    @OTTTO27 @MicroLaunchHQ SEO will likely be slow here since the value is experiential and needs to be seen to be understood SaaS explainers or short screencasts showing the difference between upload based tools and your zero upload flow would perform much better on Reddit and X because they communicate the core idea instantly without requiring explanation

  • RexPowerCo1t
    Rex Power Colt (@RexPowerCo1t) reported

    This song has become ubiquitously known as "the worst song of all time" that it honestly feels boring hating on it now That's not to say I disagree with the sentiment, it's a terrible song, it's just that it feels boring scrolling through a Reddit thread asking "What's the worst song of all time?" and hundreds of people reply with Dance Monkey

  • patye91
    suzanne patricia lik (@patye91) reported

    A few days ago, someone from my community told me they'd been on Reddit for a whole year with nothing to show for it. No clients. Nothing. So I looked at their profile. The problem was clear immediately. They were in the wrong subreddits for their niche. Not just a few — all of them were wrong. So no matter how much they showed up, they were talking to the wrong people. They were commenting under the wrong posts too. Instead of jumping into threads where people had a specific problem, they were responding to general questions where nobody was really looking to hire anyone. Their posts had no clear direction. They didn't know what to share, what format worked, or even which subreddit to post in. So everything felt scattered. And their profile said nothing about who they were. No name, nothing about what they do or for a potential client to hold onto. So we fixed it together in one week: ✅ They joined the right subreddits for their niche ✅ We looked at what kind of posts actually performed and built a simple structure around that — turns out detailed posts showing real results worked best ✅ They started commenting under posts where people were actively looking for a solution Things have already started to shift. I'll come back with a full update soon.

  • dictionaryhill
    Meccanica (@dictionaryhill) reported

    Cross posting this from the (private) Airstream Addicts Facebook page without the username to protect the innocent. If anyone has a link to the public Reddit post or Substack please feel free to share it in comments. Take note, his biggest issue is my same problem with Cybertruck and why I choose the R1T. The front charge port. Enjoy: -------- 1,219.7 miles. Joshua Tree, CA to Olympia, WA. Three days, one 31’ Airstream Sovereign, one Silverado EV, and a spreadsheet that wouldn’t quit. Final tally: Silverado EV: $362.92 2020 F-150 (12 mpg): The truck I started this silly journey on back in 2024. Fuel costs would’ve been ~$599 2022 Diesel Silverado 2500 (13 mpg + DEF): The truck I upgraded to after being underwhelmed with the F150. Fuel costs would’ve been ~$673 The EV came in at about 30¢ a mile - roughly half the cost of either truck at today’s West Coast pump prices. The catch? Eleven charging stops vs maybe three or four for gas. The EV “paid” me about $42/hr vs the F-150 and $54/hr vs the diesel for the extra time spent plugged in. Charges averaged 30-40 minutes each. Solid trade when you’re eating lunch or stretching your legs anyway. Less solid when you’re trying to make Olympia by dark. Best efficiency: 1.6 mi/kWh coming down off Siskiyou Summit. Worst: 1.0 mi/kWh going up the same pass. Gravity, as always, keeps the books balanced. Held 55 mph in California, 65 in Oregon and Washington. The 10 mph bump cost about 14% in efficiency - right where v² aero theory says it should land. Honest math, not guesses. The part nobody talks about: 9 of 11 stops required dropping and re-hitching the Airstream. Pull-through fast chargers are still rare enough to be a rumor. If the networks want to win the towing market, that’s the problem to solve. I didn’t realize one of the brand new Rivian chargers was pull through until I had already unhitched. Didn’t matter. Takes literally two minutes to unhitch. About the same to hitch back up. No complicated hitch - straight on the ball. Fuel costs were current CA/OR/WA prices averaged together. Full Substack write-up is coming. Reddit r/SilveradoEV got the long-form data dump. This is the elevator pitch. The truck pulled the Airstream without drama. The numbers say it did it cheaper. The clock says it took a little longer. All three are true at the same time.

  • MsKerriishere
    mskerri GME (@MsKerriishere) reported

    @ValueAddedRS @ryancohen I noticed while going through Reddit eBay complaints that this was a big issue. Also noticed complaints of wrong item and broken into packages where cards were removed etc with no help from customer service.

  • rroruman
    Raul Robin Oruman (@rroruman) reported

    @aleabitoreddit Reddit isn't underperforming because the thesis is wrong. It's because the moat depends on unpaid moderators who can quit at any time. Growth and profit don't fix that vulnerability. Wall Street is pricing the structural risk.

  • guilippert_v4
    Guilherme Lippert (@guilippert_v4) reported

    @noah_sterlingg Exactly. AI search rewards grounded presence in real problem/solution conversations more than backlink volume. The missing layer for most teams is operational: reviews, support language, objections, win/loss notes, Reddit threads, sales calls. That gives LLMs something citeable. Another SEO package doesn't.

  • cosmichumanlove
    TwiYorLokeLeoLucy🧡💛∞♡∞☘︎ミ✭ ݁˖⋆✮˚.⋆.∞ (@cosmichumanlove) reported

    @maucariinfoaja It's why I hate Reddit. Hope it shut down like amino . I mean why can't fans enjoy their own dynamic without slander lol.

  • careerlevelup
    Career Mindset X (@careerlevelup) reported

    @gregisenberg the "is there a better way to do this" filter on reddit is one of the highest signal product discovery tools that exists every comment thread is a real customer telling you exactly what they'd pay to fix most ai founders skip this entirely and build for other founders, which is why so many seed stage startups have the same 10 customers

  • TaiTechSolution
    Taiwo Oladosu (@TaiTechSolution) reported

    @xylo_business @tibo_maker Absolutely 👍 And honestly, that’s the reason I structure it as a test phase first Reddit can either become a very strong acquisition channel or a complete waste of time depending on execution. Most founders only see the “strict guidelines” side of it because they enter too aggressively or target the wrong conversations. Whenever you’re ready, we can break down Vynx specifically and map where the best entry points actually are for your type of product.

  • coopdejoure
    REC_OOPS (@coopdejoure) reported

    Nighas on reddit must be a problem. Why does everyone think I be on there???

  • VantoraTrade
    VantoraTrade (@VantoraTrade) reported

    Chad FOMO'd into "MoonShot AI" at the absolute top because "everyone on Reddit is buying." It instantly dumped 60%. He held, telling himself "this is just a dip, I'm not emotional." It dumped another 40%. Chad doubled down, whispering "the market is wrong." Now he's bagholding at -94%, doomscrolling cope threads at 2 AM. Moral: Your brain lies when money's on the line.

  • mathchambaud
    Freki Managarm (@mathchambaud) reported

    I asked a question on Reddit this week: how do you detect regressions when you change a prompt in ****? The answers surprised me. Everyone struggles with the same problem, but everyone built their own workaround: → One keeps 12 frozen inputs and diffs manually → Another snapshots agent state at every decision to replay steps backward → The last one versions prompts in *** and eyeballs it when something breaks Nobody has a tool that does this automatically. One dev put it clearly: it’s not a logging problem. It’s a graph-state problem. That’s exactly what I’m starting to build. The idea: you define your reference inputs once. Every time you change a prompt, the tool reruns them, compares outputs before/after, and alerts you if something diverged. Looking for devs running AI agents in **** to talk about your workflow. Not a pitch. Just a conversation. DM or comment if this resonates. #AIAgents #buildinpublic #LLM

  • ibinvestorX
    IB Investor (@ibinvestorX) reported

    @lngtermcapital NGL, I hate that woke company Reddit. Kinda happy it's down tbh.