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Reddit Issues Reports

Latest outage, problems and issue reports in social media:

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  Krystal 🇿🇦 (@krystalchantalc) reported 8 minutes ago

  @Arthanis38 @Clint_Davey1 Reddit is down the hall and to the left

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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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  Grant Miller (@AIGuide_) reported 12 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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  Rhonda S (@Smeetsya) reported 12 minutes ago

  @s4intfelina That's the problem. Men hate women, but women hate women too. I'll bet 90% of these snark reddit are women.

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  CmdrDevonKramer (@DevonLH_VT_) reported 14 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!

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  Mick Jay (@mickjayofficial) reported 15 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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  formless_electrons (@FormlessE) reported 16 minutes ago

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

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  QuiescentCrescent (@qui_crescent) reported 16 minutes ago

  It's just very funny to me how positively tame whatever personal drama he has going on is compared to the gangbanging and serial killing of all the thug rappers reddit fellates. All performative, all the way down.

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  Amin (@eCom_Amin) reported 21 minutes ago

  fable 5.1 is insanely CRACKED at finding winning google ads angles to scale your brand past $1m/mo research capacities literally DOUBLED so here's every prompt you'll need to reverse-engineer competitors' funnels and rip some banger gads: (actually run them all rn, don't just bookmark) 1. load the brain before you ask it anything the research is only as sharp as the context. upload: - pdps - reviews - website - funnel pages - competitors - report CSVs - brand docs - ICP info - winners - losers literally everything then run this: "act as the angle research lead for this brand. read everything uploaded and build a working profile: ICP segments ranked by revenue, the pain points in the customer's own words, the objections ordered by how often they appear, the proof we already own, and the beliefs a buyer must hold before purchasing. do not propose angles yet. summarise what you found, then tell me what context is MISSING" that last instruction is the whole game. prompt engineering is cope just have claude tell you what he needs from you and give it to him. anybody who disagrees just loves to overcomplicate things. 2. mine untapped databases that semrush misses prompt: "search reddit threads, quora answers, amazon reviews and Q&A sections, youtube comments on competitor and category videos, tiktok comments, trustpilot, and niche forums for people discussing [PROBLEM CATEGORY]. extract VERBATIM language, never paraphrase. for each goldmine you find, give me this: the quote, the pain underneath it, what they already tried, why it failed them, the outcome they want, and the emotional state behind it" paraphrasing is how angles end up sounding like ai slop. the whole value is in knowing your ICP's EXACT words and repeating them on ads. 3. reverse engineer every competitor funnel end to end "research [COMPETITOR 1, 2, 3]. use google ads transparency center, meta ad library, their landing pages, checkout flow and email capture. for each: every live ad and where it routes, the landing page TYPE, the hero promise, the mechanism they claim, the proof they lead with, the objections handled and in what order, the offer and guarantee, and what they are NOT saying" then: "for each competitor page, tell me which awareness level it was built for. then identify which of their traffic is landing on the wrong page type" this is how you find gaps in your competitors strategies that you can capitalize on 4. diagnose market sophistication BEFORE choosing an angle this is the step 9 out of 10 brands skip and it decides whether your angle has any chance: "assess the market sophistication level for [CATEGORY] using schwartz's 5 stages. analyse competitor ads and landing pages as evidence. stage 1 means nobody has made the claim yet. stage 2 means claims are escalating. stage 3 means mechanism differentiation has started. stage 4 means mechanisms are competing. stage 5 means the market is exhausted and identification wins. tell me which stage we're in, the evidence, and what type of angle still works at this stage" if your category is at stage 4, a bigger promise does nothing. every competitor already made one. if you're operating in stage 5, the mechanism is exhausted too, and the strategy has to shift again your ad is only good if it resonates with the market it operates in 5. score every angle against awareness and funnel stage "from the research, generate 15 google ad angles for my brand. for each: the awareness level it serves, the funnel stage it belongs in, the sophistication stage it's valid at, whether it's validated by competitors or white space, the proof required to run it, and the funnel type it should be tested through. rank by expected impact and flag any we lack proof to support" an angle without proof is a claim. claude will rank those last 6. map the keywords to the angles, not the products "build the keyword universe for [BRAND] using the customer language and competitor research. split into branded, competitor, problem-aware symptom queries, solution-aware category queries, comparison, use-case, and occasion. tag each with awareness level, the angle it pairs with, the funnel type it routes to, and the campaign that should own it" this will make everything nice and organized 7. turn the research into the campaign plan "turn everything above into a 30-day google ads launch plan for this specific brand, its AOV, margin structure and market sophistication stage. for each campaign, give me: the angle it carries, the keyword cluster, the landing page type, the creative direction, and the signal that decides whether it scales, holds, or gets cut. separate must-launch from phase 2 tests" then: "tell me which 3 angles to test first and why, given our sophistication stage and the proof we currently own" and that's literally it your competitors are testing angles with fat budgets while you analyze it all, learn from their mistakes, and (ethically) rip their winners with a unique twist and if you want me to audit your brand's google ads angles using this system and show you how we'd capitalize on the winning ones... DM me "OPP"

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  technopol 🕊️ (@technopol_ph) reported 28 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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  Keegan Kreutzer (@keegankreutzer) reported 31 minutes ago

  That retatrutide vial in your fridge is now an exhibit in a federal lawsuit. Lilly sued six online sellers in August. Not for patents. For what they told customers: "research only" next to a dosing chart, "same as the real thing," "safe." Their lawyers used Reddit posts describing side effects as evidence. Three sellers took their pages down the same day.

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  Alexander 'Lex' Williams (@squidlord) reported 31 minutes ago

  @Ochadoji999 The process of online fragmentation is a long-standing problem. We used to have Usenet as the big conversational space and individual IRC channels on some of the larger servers as the ephemeral chat places, and it worked pretty well. Quite frankly, you can run an IRC server on a potato. They can talk to one another in a sort of federated mesh if you want. We had that technology figured out and nailed down. But then came the introduction of walled garden solutions. At least AIM and ICQ used open protocols so other people could make clients that interfaced with them, and you could still talk to your friends using them no matter what client you used. Then came Facebook and Myspace and the wave of early "social media" platforms, which slowly and surely began choking off access to general cross-system information. Reddit, for quite a long time, was a very big anomaly because as long as you spoke its API, it didn't care. Which is why so much of Reddit data made it into training information for various systems. Then Discord servers became very much the norm, which combined even more fragmentary, isolated groups into their own server silo, but within the same platform ecosystem. It was and remains great technology, but the way that it has affected the culture of online communities is somewhat of a problem in my view. It creates a feeling for and desire for insularity. Plus, it focuses on ephemeral conversation rather than long-term stored communication like you find on forums and Usenet and various other places where people have more nuanced conversations. If you think all your ideas deserve to have the lifespan of a mayfly, then I guess it's great, but I don't like it very much. In fairness, there never was a VTuber community. That's the wrong word to use for it. There was a "people who did VTubing and the people who were into watching VTubing." Those people didn't necessarily have many things in common, and they still don't. It is an identity group and not a community. Which sums up so much of what's wrong with it as a whole.

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  rai ˖᯽ ݁˖ (@raionxsu) reported 32 minutes ago

  @jonschxyz @FatiTheDream Hmmm I haven’t tried that before. I say give it a go and hunt down if anyone’s tried it on Reddit

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  Como que se antoja un asadito en gorditas apoco no (@AsaditoRojo) reported 32 minutes ago

  @duckyIsaDuck Few years ago I was feeling bad about it and then I went to a small **** reddit to see how others handled it and then I realized I was larping about having size issues. I felt better about my powerful six inches lol. Jokes aside, just learn how to properly use your hands guys.

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  Tom Bilyeu (@TomBilyeu) reported 33 minutes ago

  "Find where people in [industry] are angry about the options they already have. Pull Reddit threads, Amazon reviews, Google Trends. Quote them directly." Follow up: "Now show me the five most urgent problems in a growing market, with the evidence."