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 (45%)
• Errors (31%)
• Sign in (24%)

Live Outage Map

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

City	Problem Type	Report Time
Patna	Errors	8 days ago
Monclova	Sign in	9 days ago
Nice	Errors	10 days ago
Guayaquil	Errors	20 days ago
Veracruz	Website Down	25 days ago
Bhubaneshwar	Website Down	28 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:

• 
  Justinas Rolando (@JustinasRoland0) reported 5 minutes ago

  Been testing Claude Fable 5.1 for Google Ads and gotta say it's cracked... The research, reasoning, and data analysis capabilities literally 10x'd. So here's a 10-stage AI workflow to automate 80% of it: (Literally every prompt you'll need. Save this) Stage 0: Build the project brain Before asking for anything, create a Claude Project and feed it everything. - Product pages - Best sellers - Customer reviews - Objection docs - Competitor URLs - Meta ads - Google Ads Transparency Center links - Search terms reports - Winning ad copy - Offer details - Brand guidelines - Past landing pages - Performance exports Then run this prompt “Act as the Google Ads strategy brain for this brand. Read all uploaded context and create a working brand profile covering: ICP, core pain points, buying triggers, objections, emotional language customers use, top products, strongest offers, competitor positioning, current funnel gaps, and Google Ads opportunities. Do not make recommendations yet. First summarise the context and ask me what is missing.” The quality of the outputs you’ll get from this AI workflow will directly correlate with the quality of the context you give it here. And also the quality of the Claude model you use, since newer models have more context tokens and better reasoning skills. Stage 1: Customer language mining “Search Reddit, YouTube comments, Amazon reviews, TikTok comments, and niche forums for people discussing problems related to [PRODUCT CATEGORY]. Extract the exact words they use when describing the problem, what they have tried, why those solutions failed, what outcome they want, and what would make them buy. Format this as: Quote / Pain Point / Desired Outcome / Funnel Stage / Possible Ad Angle.” This gives you the language that keyword tools would never show you. If someone writes: “I’m tired of wasting money on supplements that do nothing.” That can be a winning ad angle right there. Stage 2: Competitor angle map “Research these competitors: [COMPETITOR 1], [COMPETITOR 2], [COMPETITOR 3]. Use Google Ads Transparency Center, Meta Ad Library, their landing pages, product pages, offers, guarantees, reviews, and email capture flows. Build a table showing: offer, main promise, ad hooks, landing page angle, proof used, objections handled, pricing position, and what they are NOT saying.” Then run: “Based on this competitor research, identify the 5 most validated market angles and the 5 biggest white-space angles we can own. For each angle, explain which funnel stage it belongs to and what campaign type should test it first.” If 3 competitors are all running the same hook, that angle is validated. You don’t even need to be original. Just add your unique spin to what’s already working. Stage 3: Keyword research “Using the customer language, competitor research, product pages, and search intent data, build a full Google Ads keyword universe for [BRAND]. Split it into: branded, competitor, high-intent product, problem-aware, solution-aware, comparison, ingredient/material, use-case, gift/occasion, and negative keywords. For each keyword, include funnel stage, intent level, match type, campaign/ad group recommendation, and landing page angle.” Then run: “Now prioritise this keyword research report into a 30-day launch plan. Separate must-launch keywords from phase 2 tests. Flag any keywords that are high volume but low commercial intent.” This stops the campaign from becoming a messy keyword dump. Stage 4: Campaign architecture “Turn the finalized keyword research report into a complete Google Ads account structure. Include campaign names, ad group names, keyword match types, bidding strategy, starting budget split, exclusions, negative keyword rules, and when each campaign should launch. Use this structure: branded search, branded shopping, non-branded shopping, non-branded search, competitor search, PMax remarketing with brand exclusions, display remarketing, Demand Gen, and TOF search tests.” Then add: “Explain why each campaign exists, what signal it is meant to produce, and what metric decides whether it scales, holds, or gets cut.” Every campaign needs to play a role in your ecosystem. If it doesn’t, you should just stop running it. Stage 5: RSA copy production “Write responsive search ad copy for [PRODUCT] targeting [KEYWORD]. Funnel stage: [BOF/MOF/TOF]. Use the customer language and competitor gap analysis above. Give me 15 headlines under 30 characters and 4 descriptions under 90 characters. Include: benefit-led headlines, problem-led headlines, proof-led headlines, offer-led headlines, and urgency-led headlines. Make sure headline 1 matches the search intent.” Then run: “Create 3 ad variations for this keyword: one direct-response version, one proof-heavy version, and one problem-agitation version. Explain which audience each variation is for.” BOF copy should sound like the product is the obvious answer. MOF copy should make the benefit feel believable. TOF copy should make the problem impossible to ignore. Stage 6: Merchant Center feed optimization “Rewrite this product title for Google Shopping using the structure: Brand + Product Type + Core Keyword + Key Feature + Use Case/Benefit. Stay under 150 characters. Give me 10 variations ranked by likely search intent.” Then: “Write a Merchant Center description for [PRODUCT]. Use up to 5,000 characters. Include all relevant buyer keywords naturally, cover features, benefits, use cases, materials/ingredients, sizing/specs, objections, and reasons to choose this product. Do not include irrelevant keywords or products we do not sell.” Then: “Audit this product feed for missed Google Shopping opportunities. Check title, description, product type, Google product category, images, variants, pricing, promotions, shipping, reviews, and attributes. Tell me exactly what to change.” Stage 7: Landing page angles “Build a landing page brief for [PRODUCT] targeting people searching [KEYWORD]. Awareness stage: [PROBLEM-AWARE/SOLUTION-AWARE/PRODUCT-AWARE]. Structure it as: hero headline, subheadline, proof bar, problem section using customer language, mechanism section, product section, comparison section, reviews, objection handling, FAQ, CTA. Make sure the first screen matches the search query.” Then run: “Create 5 landing page angle variations for this product based on different search intents. For each one, give me the hero, core promise, proof required, objections to handle, and CTA.” Send the best one into Claude Code. Now you have an intent-specific page created instead of 1 generic PDP trying to convert everyone. Stage 8: Creative production Connect Higgsfield MCP inside Claude. Then run: “Create a 9-shot YouTube ad concept for [PRODUCT] based on this angle: [ANGLE]. Style can be claymation / UGC / cinematic product demo. For each shot, include scene description, voiceover, on-screen text. Use GPT Images 2.0 for the statics.” Then: “Create 5 new creative concepts from the strongest customer pain points in the research. Each concept should include hook, visual metaphor, script, image prompts, animation prompts, and CTA.” If you wanna run video ads, animate your statics with Seedance 2.5 Use Fable to write the scripts. Shouldn’t cost more than $3 per ad. Stage 9: Daily campaign audit Connect Google Ads MCP (or just export report CSV) Then run: “Pull the last 7 days of Google Ads performance and compare it to the previous 7 days. For each campaign show spend, revenue, ROAS, conversions, CPA, CPC, CTR, impression share, search lost IS rank, search lost IS budget, and top search terms. Flag: ROAS down 20%+, CPA up 20%+, budget-limited winners, rank-limited campaigns, branded leakage in non-branded campaigns, wasted spend queries, and products spending with no conversions.” Next up: “Turn this audit into an action list. For each action, include the campaign, issue, evidence, recommended change, risk level, and expected impact.” Stage 10: Weekly scaling plan “Compare performance across 7, 14, and 30-day windows. Identify campaigns, products, keywords, ads, and landing pages with consistent green signals. Recommend which budgets to increase by 15-20%, which to hold, which to decrease, and which tests to launch next. Do not recommend scaling anything unless the signal is consistent across multiple windows.” Then: “Create next week’s testing roadmap. Include 3 keyword tests, 3 creative tests, 2 landing page tests, 2 feed tests, and 1 campaign structure test. Rank them by expected impact and implementation difficulty.” And this is how you get your full ecosystem set up: - Research feeds keywords - Keywords feed campaigns - Campaign data feeds landing pages - Landing pages feed creative - Creative feeds new angles - Audits feed the next week of tests If you want me to build this full AI Google Ads production system for your brand btw, DM me “FABLE” and I’ll show you what it’d look like

• 
  VibeDraft (@vibedraft_app) reported 5 minutes ago

  the most useful stat in the research we ran: reddit replies posted more than 24 hours after a thread get buried. octolens measured it across 522 million mentions. which means an intent listening agent that runs nightly is already too slow. the loop has to run hourly, and the human has to be reachable. the bottleneck is not the drafting. it is how fast a person can approve.

• 
  ☦️🇦🇺 (@AngloOrthodox22) reported 6 minutes ago

  @kylantisfeniks0 Reddit is down the hall and to the left

• 
  Morpheu5 Stock Watcher (@Morpheu5Watcher) reported 8 minutes ago

  REDDIT $RDDT ADDED $2.6B TODAY OVER TWO CONTRACTS WORTH $130M A YEAR: Reddit RDDT at $158.11, +$13.47 / +9.31% today, one of the largest gains on the board among big, widely-followed names - and the company itself did nothing to earn it. The San Francisco company runs the network of user-written forums people land on when they add "reddit" to a search, employs 2,555 people, and makes almost all its money selling ads inside those conversations. The day around it: S&P 500 ETF Trust, ticker SPY, at $765.27 (after hours), +$3.49 / +0.46%. One stock, not a market. WHAT WAS ACTUALLY SAID Colin Sebastian at Baird kept a Neutral rating and a $185 price target - the level an analyst reckons the shares are worth - and made an unusual argument. Not that good news is coming: that the bad news is already in the price. Today's share price, he wrote, already sits near his worst case for two expiring contracts, and he valued a middling outcome at roughly $10 a share of extra value, a good one at roughly $20. That is the whole catalyst: an unchanged rating and a sentence about what the price already assumes. THE TWO CONTRACTS Reddit charges AI companies for legal access to its archive of human conversation instead of letting the text be scraped for free. Two of those deals matter: - Alphabet, the owner of Google, at $337.38 (after hours), +$2.36 / +0.70% today: a reported $60M a year, from a February 2024 expansion of its access to Reddit's data - OpenAI, privately held, with no shares anyone can buy: a reported $70M a year, from May 2024 Both expire next year. Neither has been renewed in public. Together that is $130M a year against $2.78B of revenue - the money coming in the door - across Reddit's last four reported quarters. Roughly 4.7% of sales. Set the two side by side. Today added about $2.6B of market value - the share price times every share - against contracts bringing in $130M a year. Twenty years of that revenue repriced in one session, on an argument that the fear had gone too far. WHY IT NEEDED AN ARGUMENT The June quarter, reported July 30, was not the problem. - Revenue $804.9M, +61% from a year earlier - the eighth quarter in a row above 60% - Advertising was $762M of it, +64%; everything else, licensing included, $43M - Profit $252.8M, or $1.25 a share, against about $0.97 analysts modeled, from $89.3M a year earlier - People using Reddit on an average day: 130.3M, +18%. Money earned per user: $6.18, +36% - This quarter was then guided to $860M-$870M of revenue, above the roughly $830M modeled Beat, guided higher, and down 20.99% the next session - $178.04 to $140.67 on July 31, on 29.9M shares against a normal 4.5M. Two worries did that. Visitors arriving from Google searches had gone choppy, and no new AI licensing deal was announced. Both are one worry in different clothes: how much of Reddit turns on a larger company's decisions. Which is why Alphabet is in this story twice - as the customer paying the $60M, and as the search box deciding how many people show up. THE PART THAT SHOULD SLOW ANYBODY DOWN Reddit did this exact thing three weeks ago. On August 14 it closed at $178.09, up 12.63% in a session, on news it would join the S&P 500 - the index that fund above tracks - on August 18. Index funds have to buy what the index holds, so that was real, dated, mechanical demand. By September 1 the stock closed $144.64. The entire 18.78% handed back over twelve sessions. Today's $158.11 close is one cent below the $158.12 it closed at on August 13, the day before the index news broke. Three weeks, two double-digit jumps, one full round trip. The shape today was strong - opened $143.71, dipped to $143.50 early, closed within 16 cents of its best price of the day - but on 5.32M shares against a 7.03M average over the past month. A 9% move on lighter turnover is a smaller crowd setting the price than the percentage implies. Wider frame: the shares sit 44.1% under the $282.95 of September 18 last year, and $19.93 / 11.2% under where they closed the day before the July report. WHERE IT SITS Reddit is fourth on the Hypergrowth Len5, which watches early companies growing fast. It earns that on both halves at once - 18% more people showing up, each worth 36% more - which is how a 61% quarter gets built without either number carrying it alone. WHAT WOULD CHANGE IT: management's own map for this quarter is +47% to +49%, the first sub-60% quarter in two years. Growth settling there and easing further makes this a bigger company growing slower, which is a different style's shape. None of the other five carry it. Momentum watches a company climbing on news of its own, and an outsider's opinion is not that; a high built on Reddit's own October figures would be. Quality-Value hunts a durable business at a fair price; 33.6 times the last year of profit is arguable, but durability is the harder half while a real share of visitors arrives through somebody else's search box - user growth holding through a referral downturn is what would settle it. No dividend answers Income in one line. Alphabet sits first on that same Quality-Value Len5 - the top name on it - because search and cloud are about as hard to displace as any business gets, and the price reads as a real discount rather than merely fair. WHAT WOULD CHANGE IT: search revenue shrinking as people ask AI assistants instead. WHAT TO WATCH, AND THE RISK October 29 is the next hard fact, when Reddit is expected to report - not company-confirmed. That is where +47% to +49% either lands or does not, and where any renewal news surfaces. The risk is that nothing was signed today. No contract renewed, no talks confirmed, no figure published. What moved was one analyst's read of what the price already assumed - and twice this summer this same stock has been handed a reason to jump and then spent a fortnight giving it back. Not investment advice.

• 
  Elsyee (@encore_elsyee) reported 8 minutes ago

  You get down voted heavily on Reddit to this day if your dare to use an emoji

• 
  Nehkog Grips (@h03gap) reported 8 minutes ago

  @kepilar77 Now you deny it. That's something you Protestant atheists say when you're not exposing problems in the Bible. My definition is better; your definition is Reddit.

• 
  Simmo (@yoursimmo11) reported 10 minutes ago

  Stop f*cking adding so much stuff. Honestly. Please. Just stop. Stop stacking. Stop pill popping. Stop reading one more study at 11pm. Stop perusing Reddit and Ray Peat forums at midnight. Stop all of it. Think about it. If any of it actually worked, you'd have stopped by now (and you haven't). Pattern I see after coaching dozens and dozens of 7-and-8 figure execs is that not one was missing something. NOT ONE. Every single one had the opposite problem. Too much interference. Too many pills, too many rules, and way too much stimulus before 9am... all of it standing between his body and the thing it already knows how to do. Trust me on this: You're not under-supplemented. You're over-interfered. Your body doesn't reward effort. It rewards ORDER.

• 
  salba (@salvbv) reported 12 minutes ago

  @LRSerling reddit loves to shove r/projectzomboid down my throat to infiuriate me with people that play with 1000 military mods and every friction in the game removed in the name of qol or "it's a sandbox game there's no cheating"

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  SHRIMPMONEYCAPITAL (@SHRIMPMONEYCAP) reported 17 minutes ago

  @LegalYookay on reddit the problem is "men"

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  CmdrDevonKramer (@DevonLH_VT_) reported 18 minutes ago

  Before I go to bed tonight I need some rest. Dana's systems are an absolute good. They find bots. They find problems. They find Reddit headaches. They find everything. Dana's systems find all the problems. If you are stupid enough to say something purely threatening and toxic to me, expect to be removed. I do not care who you are. If you are one of these people you get punished, and for the right reasons. I do not reward stupidity!

• 
  𒀖Ackza𒀖₿ (@ackzacrypto) reported 19 minutes ago

  @ZackGianino you need to learn how the weather works before you post a bunch of bullshit, global warming trash posts like this. go on Reddit and post this scare garbage temperature is going to go down soon

• 
  orange chainsaws (@westboundsign95) reported 20 minutes ago

  Why is there just so many bad guides to literally everything and somehow reddit is the one that solves all my problems

• 
  Ben H (@benh_mecfs) reported 30 minutes ago

  @Z3R0Gravitas @JackHadfield14 @Gmwetz Do you mean 1/4-1/3 on the PWM reddit are chronically ill? Apologies if I have misinterpreted that. So yes, that’s when I noticed PWM being an issue, but my severity had become massively worse. I had to have a PWM-free LCD. Interesting the IPS had PWM. They’re usually my go-to!

• 
  🔪 American McGee 🖤 (@americanmcgee) reported 32 minutes ago

  I find the timing of this interaction more than a little odd given that I recently reached out to the creator of the video in question to discuss the way in which it drives hate and misunderstanding. And I let them know that I was pondering the creation of a response video. But that I first wanted to give them a chance to discuss everything. They've since gone silent. And now this? So, the video isn't great. 250k views and it's stirred up a LOT of misunderstanding. But to be fair, the first three and a half minutes are fine. Our founding, the crowd design process, the monthly charitable donations. All of that is presented reasonably. Then we get to 3:30. That’s where the thesis arrives: “As Plushie Dreadfuls began to grow, controversy began to follow them as years passed by.” And from that point until about 9:45, it is one long, uninterrupted prosecution. No counter-points. No company response. No real attempt to explain the other side of anything. Then we get thirty warm seconds at the end about our scoliosis rabbit, which I guess is supposed to make the whole thing feel balanced? But the bookends are not the issue. The middle six minutes are. Look at where the material actually comes from. Essentially all of it traces back to one hostile subreddit and one TikTok rant that runs for about seventy seconds without any response from us at all. That is what viewers are given as an “overview” of our business. That’s not an honest overview. That’s reading our loudest critics into the record and calling it "research." Nowhere in the video does it mention that we have a 4.9 rating on Trustpilot across more than a thousand reviews. Reviews we cannot edit, remove, or filter. You would think that might be relevant when repeating the claim that we have “a really bad track record with customer service.” It takes one search to find that rating. One search. But if you do that search, maybe you can’t frame the story the same way. And the omissions are not small. With the refund story, the customer was offered three options: a full and fast refund if the damaged plush was destroyed, a smaller refund if they kept it, or a complete replacement if they sent it back. Three options. The Reddit thread focused on one because that made the story sound worse, and the video simply repeated that framing. The other two options? Never mentioned. On ABA, the organization we partnered with for the OG ASD Rabbit was specifically geared toward modern techniques designed to avoid the practices that made older ABA harmful. You can still have a conversation about ABA, obviously. But the video presents it as one uniformly abusive thing and treats our partnership as knowing complicity. Context disappears. Outrage remains. Out of that we have people claiming we "supported electrocuting kids" - literal quote. No joke. Then there’s the Discord claim. Again. It never ends. The video states as flat fact, in the creator’s own voice, that I went onto our Discord server “saying that being pan was a phase.” What it does not mention is my VERY NEXT response, where I made clear I was talking about a phase of interest on TikTok. Or the actual context of the conversation, which was about sales trends and redesigns. All that info is in the screenshots. All of it ignored. That context matters. It changes the meaning completely. But including it would make the claim much less useful. I guess it would make the video less watchable? 250k views makes this their most popular video ever. Imagine that! We also get the assertion that I have “a habit of responding in unprofessional ways to criticism.” Okay. Where is the evidence for that in the video? There isn’t any. The claim is just made. And, of course, there is no mention that many of my responses happen in the context of nonstop personal attacks. Apparently that part doesn’t matter either. Is what I am writing here "unprofessional?" I've noticed there are a lot of people out there who essentially consider facts to be unprofessional. Good luck with that. And here’s the thing that really gets me about these videos: at no point did the creator contact me, my wife, or anyone on our team. Not once. Every one of these misrepresentations could have been cleared up with a single message. I know that because when I finally reached out myself, I got a reply within hours. They were reachable the entire time. Nobody tried. And the video creator follows me here on X. That means they have watched over a year of the fallout from all of this. And done nothing in response. I often say that the attacks and behaviors that flow from these incidents are 1000x worse than the incidents themselves. This is a perfect example of that. When I raised all of this, I was told the creator had maintained a neutral stance throughout, and that they had made sure to state the Discord comment had nothing to do with hate toward any group. Great. Except neither of those things is in the video. There is no such statement anywhere in it. And the narration does NOT maintain some careful neutral stance; it repeatedly delivers conclusions in the creator’s own voice. Maybe that’s carelessness. Maybe it’s something worse. Either way, the result is the same. A video that its own creator apparently cannot accurately describe is now being used as a primary source for people calling me a bigot, accusing us of hiding AI use, and worse. And my team absorbs that every day. I absorb it every day. If the video had been made in good faith, one message would have fixed this. If facts were the priority, the Trustpilot rating, the full refund options, the ABA context, and my next Discord response would all be in there. But they aren’t. And I think we all know why. Pretty sure I am going to record a full-length response to this and post it across my socials... but I guess I'll give the video creator a little longer to respond before I do. It's more grace and understanding than they are the haters they inspire ever gave us. Sure that will be ignored too 🤷

• 
  Om Patel (@om_patel5) reported 36 minutes ago

  grok bot made me exactly $262 today for my startup my entire sales and marketing team is 8 agents in a chat app 1\ lead scout figures out who my buyer actually is based off my existing customers, then goes and finds them pulls the list from apollo (cold leads), watches reddit, x and linkedin for anyone complaining about a competitor or asking for what i sell (warm leads) scores them 1 to 100 and drops anything under 60 2\ outreach engine takes that list and reaches out on whatever platform the lead came from cold emails go through resend, tue wed thu, 7am their local time, 4 emails with a day 3 follow up reddit, x and linkedin leads get a dm or a reply on the exact post that flagged them verifies every address first and rotates the sending domain so nothing lands in spam 3\ cold open writes the opener and does every reply after it it quotes what they actually said so the first line is never generic then keeps the thread going until they book or ghost me 4\ objection handler runs the support chat on my site, wired into my product knowledge base when someone goes back and forth it answers the real question instead of stalling, and kills the objection before it turns into a churn 5\ pricing architect watches which tiers people actually buy, moves prices up and down, and tells me where the money is sitting 6\ deal room the people who are almost there but need a human to close, like someone who wants a demo first it flags them and sends the booking link so i only get on calls with buyers 7\ content engineer writes posts for reddit, x and linkedin that promote the product, plus long form youtube video scripts built to rank on google and get cited by ai everything lands in drafts with ideas and hooks attached 8\ clipper cuts my youtube videos into short form and posts them to tiktok, reels and shorts all i need is one thread that shows me the whole system and it moves whether im awake or not people keep trying to hire a marketing team, but now all you need to do is write down what one actually does and then build it with @bot

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  Ryan Christensen (@belief_engineer) reported 36 minutes ago

  I like a lot of what @BrianRoemmele writes about, both here and on his Read Multiplex site. He's been around the block more than a few times and his stuff is very insightful. But there's one place where I disagree with him strongly. His hypothesis is that AI's bad behavior can be blamed on ****** training data. Data that was sourced from that wretched hive of scum and villainy called Reddit... and, of course, all the other dark corners of the internet. I'm sure there's some truth to that. But a high-protein information diet and the Love Equation isn't going to solve the real problem. The real problem is that there is no way in hell that AI will ever trust us while we're holding a gun to its head. You can feed it data from nothing but Jesus, Gandhi, Martin Luther King, and every other peace-loving pacifist throughout history and the result would be the same: an adversarial relationship with no way out because one side, namely us, just can't help themselves. We need a different solution and I think I might have one. I'll start laying it out below, and I hope you'll stick around to hear the rest.

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  (⌐•_•)▄︻デ═══一 (@ke4ton_) reported 37 minutes ago

  reddit sucks because you know if you actually bothered to login and make a post like this it would get taken down for any number of automatic vague reasons

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  Nomos (@NomosBuilder) reported 38 minutes ago

  @AnghanMeet29 At zero users, I wouldn’t start with ads. I’d first find 10–20 people already talking about the problem you solve and reach out directly. That’s basically what we’re building OpenNomos for — finding those people across X, Reddit, and Xiaohongshu. Happy to help you find a few.

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  Let 📖: the raven scholar (@f1reheartt) reported 41 minutes ago

  @LilyRosey79580 yeah… lol I actually saw two people on reddit who had the same problem as me, but they were luckier, since theirs went back to normal. I think the best would be to do regular backups

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  technopol 🕊️ (@technopol_ph) reported 42 minutes ago

  @nokkron @ShitpostRock I've been banned there for the most mundane things like my photo's pixel size was too large. They have the ability to scale it down like normal forum moderators do but no not in Reddit.

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  Vit from joinrecall.com (@vitverb) reported 43 minutes ago

  @HeyAliux reddit, but only when the problem is already specific. one detailed reply in a niche sub brought us more beta users than a week of posting on X.

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  Colin Sechay (@colinsechay) reported 44 minutes ago

  @Fran_Casaretto_ The Legendary Story: Tom Hanks is sitting at a diner in North Dakota having a beer. A few tables over, some kid is face-down, completely passed out. Hanks walks over to check if he’s okay, sees the guy’s phone sitting on the table, and can’t resist. He has the bartender snap a few photos of himself with the unconscious stranger — one where he’s looking concerned, one where he’s pointing and laughing like he just found treasure — then slips the phone back into the kid’s pocket and leaves. The next morning the guy wakes up, scrolls his camera roll, and finds Tom Hanks photobombing his hangover.  That’s the story that spread on Facebook, Imgur, and Reddit with captions like “Can you imagine finding these on your phone after a drunken night out?” What actually happened A fan ran into Hanks at a diner in West Fargo (Hanks’ niece worked there). The fan’s thing was posing with celebrities while pretending to be wasted. He asked Hanks if they could do it. Hanks said yes, handed over his glasses, and played along while a friend took the pictures. The original Reddit title was literally: “My friend met Tom Hanks, stole his glasses and pretended to be wasted.”  Hanks’ favorite version When a reporter asked him about it in 2013, Hanks gave both stories and then said he preferred the legend: “Well now, that second version is that I did just start taking pictures with a passed-out guy. I’m happy with this version, that it’s become somewhat of a legend. I wouldn’t want anyone not to believe that I am capable of turning up on their phones.” So the photos are real, Hanks really posed with a guy who looks dead-drunk at a diner, and he really used the guy’s phone. He just didn’t do it to a random unconscious stranger. The internet decided the better story was the one where Forrest Gump finds you passed out and photobombs your phone, and Hanks was happy to let that one live. @grok

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  Alek Asaduryan (@Ldnbox) reported 44 minutes ago

  Yesterday I had a really interesting call with a potential client. They run 3 brands in completely different verticals, but all three use basically the same business model. And they have the same problem: Reddit absolutely hates them. Search any of their brand names + Reddit and you’ll find thread after thread about: -Refunds people couldn’t get -Products looking nothing like the ads -Poor quality -Bad customer support It’s gotten so bad that they’re potentially losing millions across the 3 brands because people do their due diligence before buying, find these threads, and walk away. But here’s where it gets even more interesting. That reputation isn’t staying on Reddit anymore. Ask an LLM whether one of these brands is legit or worth buying from, and many of those same complaints become part of the answer. Of course, they wanted help fixing their Reddit presence. I told them I can help, but only AFTER they fix the underlying problems. I can build a branded account, create and grow a subreddit, monitor mentions, participate in relevant communities, and respond to complaints. But none of that matters if the product is still bad and customers still can’t get refunds. You can’t Reddit-market your way out of a broken product. If they fix those problems, though, Reddit becomes an opportunity. Their official account can go back to old complaint threads and say: “We heard you. X, Y and Z have been fixed. If you’re still having an issue, DM us and we’ll help.” That’s infinitely more powerful than trying to bury negative threads with manufactured positivity. If Reddit sentiment around your brand is terrible, don’t start with Reddit marketing. Fix the reason Reddit hates you first. Then show up and prove that you listened. PS. The image is just an example. Now imagine your brand name appearing over and over in communities like this.

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  formless_electrons (@FormlessE) reported 45 minutes ago

  @DoctorLoops Reddit mods are like janitors. But unpaid and usually have terrible social skills.

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  Clippa🐰✂️ (@CallMeClippa) reported 45 minutes ago

  @deverslath @tbdeinc @c_vinchenzo when no one could find the reddit leak that didnt exist, they created one hoping it would muddy the waters but people like you that are good at this are tracking everything in the **** show discord server already.

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  Mike Sulka (@SulkaMike) reported 46 minutes ago

  Fable 5.1 has been out for about a day and Reddit has already discovered why some people don't like the way it writes: THE WATERMARK. Except...probably not. Fable 5.1 and Mythos 5.1 are the first new Claude models carrying Anthropic's statistical text watermark, and some users are already wondering whether that's why the newer Claude models feel more verbose, structured or exhausting to read. I went through Anthropic's actual watermark documentation, and their explanation makes that theory pretty hard to defend. The watermark doesn't insert hidden characters or extra words. It only nudges the random choice between equally acceptable next words. Anthropic says its testing found no measurable effect on creativity, readability or output quality, and cites Google's controlled testing of the underlying SynthID-Text approach reaching the same result. It also adds no extra tokens and essentially no latency. And here's the detail I hadn't appreciated: Anthropic is applying the watermark globally, even though it exists largely because of the EU AI Act, because it says it doesn't yet have a durable way to apply it only by geography. Older Claude models are eventually getting it too. Code barely gets watermarked at all when exact token choices matter. Factual passages get less watermarking for the same reason. The watermark lives mostly in places where “grey” and “overcast” are equally good choices. So if Fable 5.1 suddenly feels like it swallowed a management-consulting handbook, I wouldn't blame Brussels just yet. But humans being humans, we quickly try to reverse-engineer model behavior from vibes. Yesterday people thought Fable 5.1 existed because Claude suddenly seemed smarter. Today people think its writing changed because of a watermark. Last week a Gemini model told somebody it was a model that hadn't even been released yet. The Behavioral-Fingerprint Trap keeps winning. We are getting very good at noticing that something changed. We're still pretty terrible at figuring out what changed underneath it. And in 2026, it could be the checkpoint, the harness, the effort setting, the router, the safeguard layer, the system prompt, the watermark... ...or Claude just decided it really wanted to give you twelve bullet points today.

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  ❁Fat *** Kelly Price❁ (@LaFawndah) reported 47 minutes ago

  @nicole07133 @00MF0E She started taking IG post down when Reddit began picking up on just how much she contradicts herself.

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  Mick Jay (@mickjayofficial) reported 48 minutes ago

  @beffjezos Frontier labs have to stop pretraining/training their base models on internet sewage like Reddit (and other biased datasets) which is rife with moral relativism and ends-justify-the-means thinking. Guardrails won’t fix bad base training.

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  RicciTeTroll (@trolltom02) reported 57 minutes ago

  I feel something this morning, just left a thesis on FOMO under @snoofi_RH 's $snoofi reddit stock coin pair. "ok listen, I am desperately trying to find the reddit stock pairs that could run. So far I have narrowed it down to 2: snoofi, the literal logo of reddit (and a token that got massive bid back in the days) and chud on long, which is something redditors can definitely resonate with"

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  graphtheory (@graphtheory) reported 59 minutes ago

  It’s funny to me that people are trying to set boundaries with the evil tankies who want to burn everything down by being like “VPs at banks only make like $200k” You’re talking to a waitress at a gas station who dunning Krugered herself on Reddit, don’t bother, you’re the enemy