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Reddit Issues Reports

Latest outage, problems and issue reports in social media:

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  Dog Dad The Pilot (@TeamBubba23) reported 4 minutes ago

  @BW_Channel23 Saw somebody posted this on Reddit the other day. It got taken down shortly after

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  yakub's top guy (@tricknologics) reported 4 minutes ago

  @zoomerwoman Sometime in mid-2021 her Instagram page was deleted, which she believes was due to hackers/report spammers. She stopped doing Onlyfans after this, got pregnant, converted to Catholicism, got married, and settled down to have kids. She says she was engaged at the time but it's not clear if her husband was aware of the Onlyfans. In a comment on Reddit she says that she's ethnically Jewish. She now identifies as a Groyper.

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  Kiana_SEO (@KianaS_00) reported 6 minutes ago

  If you’re spending budget on GEO right now, this test may save you from putting it into the wrong channel. Today, my client gave us around 500 queries their in-house team was tracking, saying that they want to do Reddit. We narrowed them down to 50 representative ones and ran each 10 times, roughly 500 real ChatGPT responses in total. In this sample, Reddit appeared as a referenced source only 4.8% of the time, with zero direct Reddit citations. At the same time, we started seeing YouTube show up much more often for this AI category. And this is exactly why, for the clients we already work with, we don’t treat distribution as a fixed strategy. Also, e didn’t wait for the Reddit citation drop to become a GEO headline. Our daily monitoring was already showing the shift. Around August 5, we started noticing changes in how ChatGPT was retrieving sources across real user responses. We adjusted the client’s distribution strategy before the broader data came out. Later, public tracking made the change much clearer. ChatGPT Search’s use of site:-specific fan-out queries jumped from roughly 0.37% to 16.8% in a day, while the average number of searches per response increased from around 1.08 to 1.83. A few days later, Reddit’s tracked share of ChatGPT Search citations fell from a previous average of 3.83% to around 0.52%. By the time this became widely discussed, we had already seen the direction in our own monitoring and started moving the client’s budget. But Reddit still matters for reviews, community discussion and long-term brand presence. Before scaling content, we now look at: which domains AI is actually retrieving from which formats keep getting cited which sources are gaining or losing share how those patterns are changing week by week Then we move the budget. For visual categories, that might mean more YouTube. For another category, it might be product pages, niche publications or first-party research. The useful takeaway is simple: Build your GEO distribution plan around what the model is retrieving now. And ideally, you see the shift in your own data before everyone starts posting about it.

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  TravHogan (@travhogan) reported 7 minutes ago

  @mircea_sandu @Shpigford @1Password Which sites is this happening on for you? We're currently tweaking sites for sites that have a lot of 3rd-party sign in buttons present across pages like X and reddit. Wondering your issue is on one of those.

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  MarsIQ (@SingleLayerch) reported 8 minutes ago

  @EmbarkBulletin Because you ******* still haven't nerfed heavy in the finals. Would have been the best game ever without the dog **** heavy class. honestly the first ******* dev team when it comes to balances or introducing new changes. You guys now have a reputation for create game with unlimited potential and then dumbing them down for your reddit communities which have genuinely 0 skill and no idea what they are talking about. While your more skillful part of the community is left to rot. Same ******* pattern with the heavy brain rot in the finals with this game.

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  Cushion Finish (@Cushionfinish21) reported 10 minutes ago

  @moonlarking @pixaxiq @CH4R10T_TV The easy way to tell is the lack of engagement on the post other than views and likes. You can easily find places that will charge you like 15c for 10 likes with a quick Google search - people use them all the time. It's a huge problem on this site as well as Reddit.

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  GOP & Me (@GOPandMe) reported 10 minutes ago

  @salowa87 @Noioso2A @reddit_lies You’re completely wrong, the infant was already in post care meaning the surgery was already done. The only reason the doctor was there was to tell them how the surgery went and to field any questions about post surgery. The question was asked after they heard how the child was faring from the surgery, and since nobody else in the family attacked the Aunt it’s clearly an appropriate question. You got some serious issues assuming that the angry doctor on Reddit is correct.

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  formless_electrons (@FormlessE) reported 12 minutes ago

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

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  Sanjay Singh (@HeySanjaySingh) reported 12 minutes ago

  Any Reddit experts here? I comment, and they delete it because I don't have enough karma. You need karma to comment, but you need to comment to earn karma. How do I fix this?

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  Ryan Christensen (@belief_engineer) reported 13 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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  Nomos (@NomosBuilder) reported 14 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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  Grant Miller (@AIGuide_) reported 14 minutes ago

  Claude Fable 5.1 dropped yesterday and i've had it running on a full social GTM stack since it holds way more at once now. you can dump a whole category's worth of posts, every customer conversation you've had, and everything you've ever published into one project and it keeps all of it straight, which means what comes out stops sounding like the other 400 accounts in your niche running the same three prompts they lifted off a thread. and this matters because social is where GTM actually lives now. someone decides whether you're worth a reply from a feed months before they decide whether you're worth money, but most companies still file that under brand awareness and then wonder why nobody knows they exist. i'll go over 10 stages with the prompts included for each one. let's get into it. stage 0: build the brain make a claude project and load it up before you ask it for a single thing. and i don't mean a clean CRM export, because you probably don't have one and it doesn't matter anyway. load whatever actually exists: - every post you've shipped, sorted by what hit and what died - your replies, comments, and the DMs that turned into money - whatever customer conversations you have, so calls, demos, tickets - 90 days of posts from the 10 accounts your buyers already read - what shipped in the product lately - the questions people keep asking that you keep answering the same way then run this: "act as the GTM brain for this company. read everything uploaded and build a working profile: what we actually do in plain language, who it's for, what we believe that most of this category doesn't, what we've posted that landed and what died, what proof exists today, and what we can credibly claim vs what we're still earning the right to say. do not make recommendations yet. summarize what's here, then tell me what's missing." nobody selling prompt packs talks about this stage because context can't be packaged, it's just work, and it's the only reason any of the next 10 stages produce something usable. stage 1: who you're actually writing for "look at everyone who reached out to us in the last 90 days. what did they have in common before they reached out, what post did they engage with first, what were they doing instead of us, and what did they say in the first message. if the sample is too small to support conclusions, say so and tell me what would make it reliable." that last line is the one everyone deletes, which is why half this space is running strategy off nine customers and calling it a playbook. most accounts write for their followers when they should be writing for the 30 people inside that number who can actually sign something. stage 2: customer language "pull the exact language buyers use about [PROBLEM] from our own conversations, replies and reviews. then find the same conversation in public, so reddit threads, quote tweets, comment sections, community slacks where it comes up unprompted. format as quote / underlying pain / awareness stage / objection it implies / angle. then flag every place their language differs from how we describe the same thing." that flag is the whole exercise, because the distance between how your buyer says it and how you say it is where your reach goes to die, and it's usually about four words wide. stage 3: read the feed "analyze the last 90 days of posts from [10 ACCOUNTS] in this category. map what claims everyone is making, which takes are so common they stopped meaning anything, what's actually being argued about, what everyone is carefully not saying, and where the conversation goes next. then tell me which of our beliefs puts us on the contested side of a real argument." consensus doesn't travel, since nobody has ever shared a post they already agreed with before reading it. what you want is the take that's true, defensible, and mildly annoying to half your timeline. stage 4: angles "build 5 content pillars from stage 1 and the gaps in stage 3. for each: the belief it attacks, who it's aimed at, the proof required to make it land, the objection it pre-empts, and where it sits in the funnel." then run every one of them through this: "if a competitor could post this word for word and it still makes sense, cut it and tell me what's missing." try that filter on the content plan you're already running and watch how much of it evaporates. stage 5: voice everyone skips this one and then wonders why their AI content reads identical to every other account using AI. "analyze everything we've published. build a voice profile: sentence length and rhythm, how we open, how we handle disagreement, what we'll be wrong about in public, words we use constantly, words we'd never use, how technical we go before simplifying, whether we hedge or commit. then write the anti profile, the exact phrasings that would immediately read as not us. include every cliché in this category we'd be embarrassed to post." then before anything ships: "score this draft against the voice profile 1-10 and tell me which lines would get flagged as not written by us." and the anti profile ends up doing more work than the profile does. stage 6: write the posts "write 5 posts on [PILLAR] in the voice profile from stage 5. every post needs one number, name or detail that could only come from having done the thing. no question as a hook. end on the line that starts a reply. then flag anything we can't back with proof yet." it'll get you about 80% of the way there, and the last 20% is you, which no prompt is getting for you. stage 7: hooks the first two lines decide whether the other 40 get read, so treat them as their own job. "take these 5 posts. rewrite the opening two lines of each 6 ways: the specific result, the contrarian claim, the thing everyone thinks and won't say, the mistake we made, the number that sounds wrong, and the flat statement with no setup. for each tell me who it pulls and what it promises. then flag any hook the post doesn't actually pay off." that last flag is the one that matters most, because a hook you don't pay off costs you the next post too, since people remember getting baited. stage 8: distribution posting is only half of it, because the other half is showing up where the attention already sits. "list the 20 accounts our buyers already read. for each: what they post about, how much their audience overlaps ours, and what we could add in a reply that their audience isn't already getting from them. rank by overlap, not follower count." then: "given [X hours a week], design a posting and engagement system we can actually sustain. cadence, format mix, how much time on replies vs original posts. be honest about what we should not attempt at this volume." a 12k account full of your buyers beats a 400k account full of other marketers, and most content plans die because they were built for a team of four and end up getting run by one person at 11pm. stage 9: audit "compare the last 30 days to the prior 30. for each pillar and format: reach, engagement, and who engaged, so title, company type, whether they're ICP. flag anything that got reach from the wrong audience, anything that got low reach from exactly the right one, which pillars produced conversations and which produced nothing, and any drop over 20%. then tell me whether the problem is the hook, the pillar, or the claim underneath it." composition beats volume, so 40 engagements from your ICP is a better month than 4000 from people who do what you do. if your replies are all peers then you built a conference and called it pipeline. stage 10: scale "compare 30, 60 and 90 day windows by pillar, format and hook type. find what works across all three, not what spiked once. tell me what to double, what to hold, what to retire. if a sample is too small to call, say so instead of guessing." then: "build next month's roadmap: 2 pillar tests, 2 hook format tests, 1 cadence test. for each: hypothesis, metric, minimum sample to call it, and what happens if it wins." you need a minimum sample on all of it, or you're just reading noise and shipping it as strategy. the loop: - inbound tells you who you're writing for - their language becomes the angles - angles become the posts - posts become the replies - replies become the conversations - conversations sharpen the angles - the audit picks what gets written next month every output feeds the next one, so run it for 90 days and you end up with something your competitor can't copy by screenshotting your posts.

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  Anthony Stephen Mendes (@anthonysmendes) reported 15 minutes ago

  Tips for new Framer creators & developers: Method A: Search on X, Facebook, LinkedIn, Reddit, etc for these terms without quotes- “Looking for, framer” “Hiring, framer” “Need, framer” Set to latest and check the posts within 24 hours. These will give you high intent posts from people who need Framer developers. Method B: If you want to focus on templates, check for posts from creators where they have made a sale. Even better if they’ve included a screenshot. Check the template, see what they’re doing differently, see how new it is to the marketplace. The goal is not to copy. The goal is to understand the following: - How consistent they are with naming assets and layers. - What makes their templates different. - How far do they go to provide value: prompts, video tutorials, documentation, etc Method C: If your goal is to build a portfolio then it’s best to offer pro bono work/free work for brands. Use them under specific guidelines: - Business under 3 years old. - Business never had a Framer website. - Right to share in portfolio/case study. Here you can also make commissions from your remix link/project transfer. Method D: Small time edits on existing Framer websites. Sometimes businesses do this: - Get a template. - Edit and publish it. The edits bring errors that lead to issues in responsiveness & text clipping or asset issues. Offer a small fee to fix it after they add you as an editor. Won’t bring money you’d expect but builds trust.

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  Dude (@Randomuser22147) reported 23 minutes ago

  @1x_Michelle_x1 @Pirat_Nation I installed it for the Call of duty beta. After I finished playing I noticed the flickering of my monitor every minute. Looked it up and saw a reddit thread of people reporting the same issue. I reverted back to my old driver. I'll reinstall when it's fixed.

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  Billy Baggins (@BillyOfBagEnd) reported 23 minutes ago

  @dwanbrooks93 @rothschildmd And hopefully those broken records will send a message to Hollywood that people on X and Reddit don’t represent the mass audiences. The Odyssey, too