Reddit 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:

• 
  Tratte Buzun 👻 (@Faheem_xxii) reported 8 minutes ago

  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.

• 
  Kpop Tiger 💓🇰🇷 (@plioblud) reported 10 minutes ago

  The paleo sides of Twitter/Reddit/Youtube have made a lot of terrible pet theories, but the stupidest one of all has to be the idea of Edmontosaurus “going into musth”. Elephants could afford to evolve that because there were no predators that could keep their bulls in-

• 
  TheMudkipMarcher (➕🔥🐱) 💗 CARLOTTA MY BELOVED 💗 (@MarcherMontelli) reported 12 minutes ago

  @ramshackle__ From what I can tell PS5 has really terrible overheating issues but afaik that's about it. Literally everywhere I look, here, youtube, reddit, forums, articles, not a single damn soul has anything good to say about WuWa's xbox ports, X or S. Like it's been ABYSMAL this past week

• 
  Steve Erl (@SuppsCopyChief) reported 12 minutes ago

  Doubling down on this, here's exactly what I would do: STEP 1: I'd use GetHooked to research the brands I wanted to work for as a strategist. I'd probably pick about 50 brands that I would think I'd like to make ads for. Then, I'd sort through their ad libraries, trying to deduce what their winners were. I'd be looking at performance metrics, how often these ads are running, how many placements these ads are running in, and the duration. You can see most of this in Gethooked (or Trendtrack). It's not going to be precise, but if an ad's been running for a long time, it's likely doing well for them. STEP 2: Next I'd start researching their customer and product, about as deeply as I possibly could. That would mean manual work on Reddit. Do not have AI do this for you, especially if you are a beginner. Doom scroll Reddit, then doom scroll some more. You're going to want to go to the subreddits for those topics, and you're going to want to get deeply immersed in the conversation: the words being used, the emotions being displayed, the frustrations and the alternatives being used by these people to solve their problem. You should be getting ideas for ads as you're reading, dump them into a google doc for review later. Once I felt I was familiar enough with who the customer was, what their problems were, what their language was, and the product itself and how it uniquely solves their problems, I could start making some ads for them. STEP 3: I probably wouldn't even bother creating brand-new ads for these brands. I would go back to those winners that I found, and I would simply remake those to save myself time, with new hooks or leads or format variations. This would be a better showcase of your skills and save you a bunch of time. At the very least they'd see that I understand their customer, that I spent the time picking apart their winning ads, and that I would be a useful member of the team who could put together iterations of their winning ads. I'd probably pick one ad from the brand and do three variants of it. STEP 4: I would try to find a decision maker at the brand using X and any kind of research available. Do they have a creative director? A CMO? Do they have a creative strategist? Can you get in contact with the founder? It may sound like that would be difficult to do, but I promise you, it's not that hard to find out who's working on what and connect with them. Then I'd simply send them a short pitch on what I created. No fluff, no bullshit weird sales tactic, no DMs written like you're Gary Halbert or some creepy copy-pasta message. I would just straight shoot them: "Hey NAME, was researching your brand and It looks like this ad has been a winner for you, so I thought I would make some variations. You're free to use them, no charge to you. If they do well, hit me back. If they don't do well, I'll probably never hear from you again. Which is totally fine" STEP 5: Follow up. Not like desperate loner who just got dumped, but after a few days goes by just gently nudge. Follow ups matter. Whenever I have an inbox full of applications I need to review, I tend to go back to the people who followed up first (mostly because they're at the top of the inbox) but also because they followed up, which means they're at least a tiny bit more hungry than the person who never bothered. Just keep doing this until you land some work. And I know the next question you'll ask is "what should I charge?" and the best answer to that is charge them whatever makes you feel uncomfortable when you say that number out loud. As a beginner the dds are that you'll massively undervalue your self anyways (very common btw), and learning how to properly price your work is part of the learning curve.

• 
  Olivia (@Olivia0945) reported 15 minutes ago

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

• 
  edwin (@edwin1) reported 16 minutes ago

  @arthuryuzbashew neither, just started my reddit+meta+ASA campaigns. i will scale organic when i have more time for marketing, it's like step 3-4 in my playbook, so bit further down the road, maybe in 1-2 months

• 
  Thomas Waldrop (@Draelon) reported 19 minutes ago

  @asha_shar I don't generally bother going to the Creations page unless I specifically hear about something via a review or other creator I follow. The site is horrible to navigate. For Bethesda game "Creations" success & profit: 1. Improve the site and make it easier to find mods with filters both in the in-game menu & ESPECIALLY on the website. The site is like trying to navigate a network share by people who don't understand naming comventions. 2. Allow reviews. I shouldn't have to go "Bing" a mod to be linked to Reddit or another site to read reviews if a mod is worth the purchase. 3. Add a "change log" similar to other sites so Authors can document changes & show progress on mods that are WIP. In the unlikely event you're actually reading this and make it this far: Have a conversation with your peers overseeing the OS (Windows). Let them know a lot of us have begun moving to Linux because Windows has several key issues I am not willing to tolerate any longer. 1. Optimize. Stop installing slop I didn't ask for and make the OS actually run well with gaming. You know what's more annoying? Having slop re-installed after I removed it. 2. Privacy. I avoid MS products, bing, etc because I have 0 privacy when using your OS. 3. Do not use Windows to advertise to me. It's an OS. I already stopped using Bing because all I would get on the first several pages of results were links to sites selling an item. Unless I put the word "buy" in a search, I'm looking for information on the product. Not 12 sites from Grainger & 10 more from Amazon. Sure, add one or two to the first page, but I want useful information. 4. Stability. Stop with the vibe coding. Every update over the last year has been a mess. AI has possibility to improve productivity. Relying on it completely and not having someone skilled actually go over what it's doing is destroying all semblence of security or stability on the OS.

• 
  Paras_ (@paras_vyas_) reported 19 minutes ago

  AI Entrepreneur Briefing — Aug 27, 2026 Pivot Post (1/30) TL; DR: Big money is going into custom AI you can run on your own data, solo founders are running 3-4 products at once instead of one big bet, and accelerators are hunting for agents that actually do real work. 1. The $1.1B bet on "your data, your model" — River AI from the US What's happening: River AI, started by xAI's co-founder, just raised $1.1 billion to build tools that let any company train personalised AI models on its own private data. Not another chatbot, but infrastructure for custom models. What you can take from this: This is a huge green light if you're aspiring to build B2B. Companies in the US/EU don't want to send data to OpenAI anymore. They want a small, private model that knows their contracts, support tickets and inventory. You don't need to raise a billion to play here — pick one vertical you understand (real estate, clinics, e-commerce returns) and build a simple "bring your own data" wrapper. That's what enterprises are actually buying right now. 2. The portfolio indie hacker is winning — US/EU trend you can copy this week What's happening: On Indie Hackers and Reddit, the pattern is clear — solo founders saying "running 3 products solo" or "shipped 6 MVPs in 6 months, 2 are profitable." Vibe-coding tools have made it normal. Replit Agent + Lovable to get the first version live in a day, Cursor + Claude Code to make it solid. What you can take from this: Stop trying to build the perfect unicorn on day one. Build one tiny tool that solves a real itch, launch it, then build the next one for the same audience. Same login, same audience, multiple revenue streams. If you are non-technical, start with Lovable. If you can read code a bit, move to Cursor. The unfair advantage in 2026 isn't working harder; it is shipping more small bets. 3. India is quietly becoming the agentic lab — and Google noticed What's happening: Google picked 20 AI-first startups from 2,000+ applicants in India for its 2026 accelerator. Focus: agents that do real work in law, healthcare, climate, finance, cybersecurity. Equity-free, plus access to Gemini, Gemma, and Cloud TPUs. What you can take from this: Even though we are prioritising US/EU, this matters for you as a second market. If you're targeting global customers, watch what these 20 teams build—they are solving high-stakes, low-cost problems. Inspiration for your next idea: instead of "AI assistant for X," think "AI worker that finishes X end-to-end." For example, not "help write a legal notice" but "draft, verify, and file the notice." That shift from answering to doing is what gets funded and what users pay for.

• 
  Andrew Dukowitz (@adukeMN) reported 26 minutes ago

  For people who saw this original post and are interested I do want to expand further on why typing into AI to fact check doesn’t work is flawed. First the CBA is a PDF file for download on the WNBA, because it’s as a download a lot of AI’s can’t find it when they scan the internet looking for the answer. Furthermore there are more pieces with mis information on the policies from news sites or blogs than there is actual reporting on the policies… AI’s use everything from Reddit posts to the NY times to gather their answers, there for can be pretty inaccurate, and since the main document is behind a PDF download it doesn’t have anything to cross reference. With that said here is some additional information. 1) it is correct the WNBA doesn’t have mandatory drug tests, but they allow for 1 test every offseason and up to 3 in season. I’ve seen players in other leagues get drug tested for things as little as a shirtless IG post. The league can do them at any time for any reason. 2) it’s blatantly untrue the league hasn’t had a drug test since 2020, the testing isn’t publicly available due to HIPPA, so if a AI searches for it, they won’t find it. Just like my drug test for a job won’t show up online. 3)it’s true and factual that WNBA players don’t get suspended often for drug test failures. This is in part because up until last year the league consisted of just 144 players. The league also has an extensive treatment program for athletes struggling with addiction. It’s a lot easier to manage a league of 144 players with 100 of them making less than 100,000, and playing year round. 4) The CBA does not state what lab tests or values they look for in their testing. This is admittedly frustrating, but to say the CBA doesn’t say explicitly that they test for Testosterone, there for they don’t, to me is a logical fallacy. The CBA also doesn’t state they test for Creatinine levels that discover diuretic use, or fentanyl levels, or HGH levels or any levels. The league has a 4 page list of single typed banned substances, many of which need their own lab to detect or a liver function test, or a basic metabolic panel. 5) lab values in the medical world aren’t up for debate. An adult human should have a potassium level of 3.5-5.0. I say this because push back I’ve seen is that the league doesn’t explicitly say in the CBA they use Olympic or FDA or WHO or those guidelines. Normal lab values are just facts. If a player has a low potassium and a high BUN it suggests they use a diuretic. Then they could get suspended. Similarly a normal women’s testosterone level is 15-70. A males testosterone is 250-1100. If someone drug tested that far above the female level, the league could suspend. Would it be messy? Yes. Would it go to arbitration and court?definitely Should they have a clearer rule? Sure. 6) This is literally a non issue. For people that genuinely care about the issue and the league I hope this alleviates some concerns. I want to help educate and bring the focus back to basketball and the awesome stories this league has going this year though. I’ll keep an eye on the comments again to answer some questions, but I’m going back to hoops posting this afternoon.

• 
  Mohammed Ibrahim Khan H (@0x1brahim) reported 27 minutes ago

  Got banned on Reddit (about half of my posts removed)... The 🤯 part: the posts where I explicitly self-promoted are still up, while the ones taken down were just me sharing my exact study method. (I literally used @examinteligence to study for my own exams)

• 
  Roman (@romanxprofit) reported 35 minutes ago

  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.

• 
  KingAlex105X (@Frosty_SnowKing) reported 37 minutes ago

  @LillyVampy @abracasmasha @aniaothj There is an entire Reddit thread on this issue I have it too I hope it’s fixed

• 
  GoodMallya (@ShyamdasMallya) reported 38 minutes ago

  Coding is easy. Distribution is diffcult in 2026. Nobody tell you why or how! The Modern Web Distribution Engine Is Broken for Independent Startups (A Fact-Checked Breakdown) The playbook that bootstrapped thousands of indie software businesses 5–8 years ago has collapsed. Building a fast, lightweight, and genuinely useful web tool is no longer enough to get discovered on the open web. Here is the data-backed reality of distribution in 2026: 1. Google Search: Defensive Moats and the "Thin Content" Trap The Shift: Google’s recent core updates and Helpful Content systems rely on site-wide ML classifiers rather than evaluating individual pages on raw utility. The Reality for Startups: A clean client-side utility (e.g., zero-server processing, instant WebAssembly conversion) is frequently flagged as "Crawled - currently not indexed" simply because it lacks paragraphs of filler SEO text. Google's algorithms heavily skew toward legacy enterprise domains, aggregator platforms, and licensed forum feeds as a safety net against automated web spam. 2. Walled Gardens & Link Throttling The Shift: Social platforms (X, LinkedIn, Meta) actively suppress organic post reach when an outbound URL is attached, keeping users inside their ad networks. The Reality for Startups: Organic click-through rates from social discovery to external SaaS or utility sites have dropped by over 70% compared to previous years without paid promotion. 3. Community Gatekeeping & Commercialized Directories The Shift: Communities like Reddit deployed strict auto-moderation rules to combat affiliate spam, catching legitimate indie builders in the crossfire. Authentic recommendations and product sharing are routinely shadowbanned. The Reality for Startups: Traditional launchpads (Product Hunt, software directories) are now heavily monetized via sponsored listings and coordinated upvote rings, turning organic discovery into a pay-to-play channel.

• 
  clem // taylorpilled hebertcel (@citrus_seashore) reported 41 minutes ago

  @Gourgeist I wish it was more popular but also the main fandom is super reddit brained it’s terrible

• 
  KnowMogself🫵😹 mog/acc (@Mogmania69) reported 42 minutes ago

  @realmcbenis @MonkeyCharts Soylent reddit brains really can't stop making problems