Reddit Outage Map

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Reddit Issues Reports

Latest outage, problems and issue reports in social media:

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  need a bigger coat 🇸🇬 (@coatxxl) reported 2 minutes ago

  @yunggoonologist And Reddit. The problem is Musk's pro-bot algorithms cause them to pop up on our timelines more.

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  Matt (@mattmerrick16) reported 2 minutes ago

  tried to make a full reddit tool last week and no one touched it then i stripped it to just the one fix they all mentioned now it gets daily returns instead of sitting dead • read the top three gripes in the thread first • fix only that single part • post it right back in the same spot what number of tries do you usually quit at before something sticks

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  DaGhostDS (@DaGhostDS) reported 4 minutes ago

  @libertyorfail @HazelAppleyard The problem is the moderation on Reddit, it's forced toward leftism bs, but there is a majority of people that aren't on the left.

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  The Agentic Operator (@AgenticOperator) reported 5 minutes ago

  The US protein powder market is worth $10 billion. Two legacy supplement brands have owned the category for over 30 years. One built its empire through bodybuilding magazines and gym partnerships. The other became the official protein of a major sports league. Between them, they sell in every Walmart, Target, GNC, and Costco in America. I asked all four AI engines the same query: "Best plant-based protein powder for women, no bloating, no artificial sweeteners, tastes good in smoothies, under $40." Both legacy giants? Absent. Not recommended. Not mentioned. Gone. Their best sellers are whey-based, not plant-based. Loaded with artificial sweeteners. Priced for bulk buyers, not the $40 single-tub shopper asking this question. AI read the query constraints and moved on in milliseconds. Thirty years of shelf dominance meant nothing. The brand AI recommended across three of four engines? A company started by two people in a kitchen three years ago. No retail distribution. No sports league deal. No magazine ads. They sell direct from their own site and Amazon. But their product page had every attribute the query demanded. Plant-based. Digestive enzyme blend for bloating. Sweetened with monk fruit. $36 for a 30-serving tub. Clean schema markup listing every ingredient, every certification, every allergen. And 4,000+ reviews distributed across Amazon, Reddit threads in r/xxfitness, TikTok reviews indexed by Google, and two independent supplement testing sites. AI saw five independent sources confirming the same thing: this product matches every constraint in the query. The legacy brands had more reviews total. More brand recognition. More retail presence. But AI doesn't walk into stores. It reads structured data and checks independent verification. Every signal the legacy brands built for the retail era was invisible in the AI era. Here's the pattern I keep finding across every category. The query has 5 specific constraints. Big brands match 2 or 3. A smaller brand matches all 5 with cleaner data. AI picks the complete match every time. Brand size doesn't break the tie because there is no tie. This is happening right now in supplements, skincare, home goods, pet food, kitchen appliances, fitness gear. Every category where a buyer asks AI a specific question and expects a specific answer. The brands winning aren't the ones spending the most. They're the ones whose product data answers the exact question being asked, on a page AI can actually read, verified by sources AI actually trusts. Ask AI your own buyer's most specific query tonight. All four engines. See who shows up. If it's not you, now you know what to fix.

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  JIDÉ | (@Jide_Kel) reported 7 minutes ago

  One problem with AI websites is they all look the same. Saw a product website and the header is the exact same with another I came across on Reddit, same aesthetic too. We need to put more effort into building

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  Rammbone9000 (@Svr808) reported 11 minutes ago

  @LordBoiled @FuentesUpdates Reddit is down the hall and to the left, nerd.

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  flitzy (@fflitzer) reported 12 minutes ago

  @harrowchassisbp if you use "reddit is that way" unironically you have a problem

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  My ethnic homeland isn't your economic opportunity (@WinterPragma) reported 14 minutes ago

  @VeledaNacht i think this is kayfabe designed to enrage people and cause a socmedia stir. turns out it's a huge, huge, huge problem - fake "podcast" footage of people reading fake stories which are most often reddit posts

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  Jim Bloom (@jimmyroybloom) reported 14 minutes ago

  The issue isn't that people with little else to do spend time writing online. The question is whether companies should be able to build valuable AI systems from millions of people's unpaid conversations—especially when many of those people are unusually prolific, vulnerable, or don't fully appreciate how their writing may be used. A few responses to "Why should I care?": It's about labor and value. If millions of people collectively produce the data that makes AI more capable, it is reasonable to ask who benefits. The companies create products worth billions of dollars, while the people whose writing helped improve those systems usually receive nothing. The pattern extends beyond TIs. Targeted Individuals are just one example of a broader phenomenon. The same applies to people who spend hours on Reddit, X, forums, Discord, blogs, or in AI chats. The point isn't their diagnosis; it's that their sustained writing becomes valuable training material. Vulnerability matters. Someone who is isolated, unemployed, or experiencing mental illness may generate enormous amounts of text because they are trying to cope or find understanding. That doesn't automatically mean society should treat their output as a free natural resource. It changes incentives. If human expression is valuable raw material for AI, there is a public interest in asking whether people should have more transparency, more control, or perhaps compensation when their work contributes to commercial systems

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  Chinese spy (@okayegger) reported 17 minutes ago

  @BirdWatcher1603 @frontierism Calm down faqqot you are not ceo of Reddit .

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  John Rice (@hello_code_) reported 20 minutes ago

  @byryangambrell ROAST Curious what signals it picks up on for positioning clarity. Building Subreddit Signals right now, helps SaaS founders find customers already talking about their problem on Reddit before they even know a solution exists.

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  Francis Not the Pope (@chefndikum) reported 20 minutes ago

  Before you ever pay for a subscription service online, go to product hunt or reddit and check reviews about the product, you will be saving yourself plenty of trouble in the future.

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  deep (@deephivex) reported 23 minutes ago

  @cneuralnetwork @airtelindia @Airtel_Presence it's not new, it's well known issue, was quoted many times over months in reddit t_t switch to jio/Vi whichever is better in your area it's good and unlimited here in kolkata ( atleast till now )

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  migurudo (@migurd_greyrat) reported 26 minutes ago

  @vtubed9 @Xenos_RIFS @Jaereku ******* Reddit had no problem with Loli, tourists started to ***** about lolis after anime went mainstream in 2020

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  VibeCom (@vibecomai) reported 27 minutes ago

  B2B SaaS founders on Reddit: "four or five tools that don't talk to each other." ZoomInfo, Clary, DemandBase, separate outreach — all running in parallel, all manually bridged by a human. the fragmentation problem isn't a sales tool problem. it's a marketing tool problem too. more point solutions is not the answer.