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Most Reported Problems
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Live Outage Map
The most recent Reddit outage reports came from the following cities:
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Errors | 18 days ago |
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Sign in | 19 days ago |
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Errors | 20 days ago |
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Errors | 29 days ago |
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Website Down | 1 month ago |
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Reddit Issues Reports
Latest outage, problems and issue reports in social media:
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Akari Rini 🌐⭐ (@akaririnii) reported@Necromel211736 i aspire to be as tech savvy as you one day!! random reddit tech problem forums are my savior
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Alek Asaduryan (@Ldnbox) reportedYesterday 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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Mohamed irfan (@heyIrfan) reportedIf I had to build a SaaS from $0 today, I wouldn't start by writing code. I'd start by talking to the market. Imagine you have an idea you're convinced will work. You spend 3 months building it, make the UI beautiful, add 20 features, launch it… and then nothing happens. No users. No customers. That's when you realize: building the product wasn't the hardest part. Distribution was. I'd follow a simple rule: roughly 20% of my effort goes into building, and 80% goes into understanding customers and distribution. First, I'd study the market. Who has this problem? How are they solving it today? What competitors exist? What do customers hate about the existing solutions? And most importantly, is this problem painful enough that people will actually pay to solve it? That's actually the approach I'm taking while building nodott(dot)com. I'm not trying to spend months building a huge product and then hoping people show up. I'm trying to build the smallest version that solves the actual problem, get it in front of people, talk to users, collect feedback, and iterate. With AI tools, I'd try to get the MVP working in days, not months. No unnecessary animations. No 50 features. No obsession with perfect UI. Just solve the core problem and deliver value. Then I'd put it in front of real users. I wouldn't act like a salesman. I'd act like a problem solver. I'd ask what they're struggling with, how they solve it today, what they expected from the product, and what would make them pay. Then I'd build again based on what they actually told me. For marketing, I'd start with $0 in ads. I'd post useful things on X and Reddit, share what I'm learning, explain problems, answer questions, and give value. Someone sees the post → visits the website → signs up → becomes a beta user. Now you have something far more valuable than a follower: someone actually using your product. And if they don't pay? I'd ask: "Why aren't you paying?" That Million Dollar answer could completely change the future of the SaaS. Maybe the problem isn't painful enough. Maybe the product isn't solving the right problem. Maybe the value isn't clear. Maybe the pricing is wrong. Whatever the answer is, iterate. Build → Talk → Learn → Improve → Distribute → Repeat. I'd also find my ICP before my competitors do. If my competitor has thousands of followers, I'd study those followers. Find the people already talking about the problem. Follow them. Understand them. Comment. Give value. Don't immediately DM them: "Hey, check out my SaaS." Build the relationship first. Because marketing isn't just about getting attention. It's about becoming the person people trust when they finally need the solution. That's the mindset I'm trying to follow while building nodott(dot)com. You can build the best product in the world. But if nobody knows it exists, it doesn't matter. Build fast. Talk to users. Give value. Distribute. Iterate. Repeat.
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Grant Miller (@AIGuide_) reportedClaude 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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MarsIQ (@SingleLayerch) reported@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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Alma Gentil (@Chinoy200096633) reportedSamsung is experiencing an unexpected glitch where user accounts are being randomly deactivated for "security reasons," locking owners out of connected ecosystem services.The issue, which escalated dramatically across Reddit and Samsung Community forums, presents users with a strict error message stating: "Can't sign in. Account deactivated for security reasons.
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RicciTeTroll (@trolltom02) reportedI 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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Harshal (@harshal_lfc) reported@Chikudi_US Also, according to reddit rumours they already had issues from 2nd or 3rd month itself. Plus, early months in marriage is mostly lovey dovey after which people show their true colours if they are hiding something
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nexa_sama (@nexasama) reportedMatt Damon says Steven Spielberg intentionally banned him from Saving Private Ryan’s boot camp so the cast would genuinely resent him: "Is it true that Steven Spielberg excluded you purposely from the military training on the set of Saving Private Ryan to create a real resentment between the rest of the cast and you?" "That is totally true... I was ready to go to boot camp, and he said, 'Absolutely not.' He goes, 'You can train in any way you want, but I'm separating you from the other guys.' They really did" "they were totally resentful every time they brought up boot camp." "There's an internet rumor on Reddit that if you watch the famous 'idiosyncrasies' scene in Good Will Hunting" "you can actually see a subtle wobbling up and down because the camera operator was laughing uncontrollably along with you and Robin Williams." "I don't know, we could check. I wouldn't be surprised. Robin made everybody laugh... When he would see people's energy flagging, he would just launch into like 10 minutes of stand-up."
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Treigua (@Treigua) reported@Amank1412 I’d separate audience from intent. X is weak when the $20 plan appears under generic build-in-public posts; Reddit converts because buyers arrive inside a problem-specific thread. The channel matters less than whether the post captures active pain.
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Kene 🐘 (@spatocodex) reportedIf I had to get my first 100 customers from scratch, here’s exactly what I’d do: 1. Cold emails Send 20 highly targeted emails. Lead with a specific outcome, not your product. No replies? Change the email and try again. Keep iterating until you get responses. 2. Social media DMs Find prospects on LinkedIn, X, IG, FB, Reddit, etc. Send a 15-second personalized Loom audit. Make the preview obviously about them. Give value before asking for anything. 3. Affiliate programs Find people who already have your target audience. Offer a commission worth promoting. Make joining and sharing effortless. Tools like @partnacdotcom let you launch and manage the whole program in one place. 4. Partnerships Find complementary businesses serving your ICP. Create a simple referral deal. Give them a reason to send customers your way. Start with 10 good partners, not 1,000 random ones. 5. Communities Find where your ICP already hangs out. Answer questions and solve problems. Don’t drop links everywhere. Become the person people remember when they need the solution.
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Josef Andre (@josefandre_) reported@arthuryuzbashev aight I need to hammer reddit a bit more then. did try for a week but wasn't very successful, most certainly skill issue though
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UnrulyCrow🇺🇦🇵🇸✊️ (@Unruly_Crow) reported@_kodiakinclouds This is why I checked out from it (and fandoms in general). This behaviour has been happening for years now, even in 2020 when Twisted Wonderland got released, I quickly noticed this issue. In the 2010s I saw it on Tumblr and Reddit, it made me actively avoid certain fandoms.
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Colin Sechay (@colinsechay) reported@Kalshi_Film 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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Ben H (@benh_mecfs) reported@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!
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𓏼Იᰍ 𝔼𝕕𝕖𝕟 ♡ 𝒦𝒶𝓎𝓃’𝓈 𝒷𝓊𝓃𝓃𝓎 𓈒୨ৎ ゚ ֪֪֪ (@Rhaasts_) reported@Riyu_Nuri @Love_Deepspace @discord I remember getting very irritated with the people who mod official lads communities that I ended up losing it in the server after I found out abt the Reddit mods being in the og5 subreddit I said I hoped they get rabies and ig thats waaaaY worse than the bigotry
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Bits&Parts (@BitsParts) reported@schiz04renic My problem is I don't have anyone to discuss the books i finish and my only cope is reddit, and sadly it's occupied by elitist brats.
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सम्यक সম্যক (@samyak128) reportedAll Indian discourse is a mimicry of American discourse from 10-15 years ago. This means we are now in the era of cringe Reddit adolescent atheism, which is basically people in their 20s projecting their issues against their parents through the internet. But since this is India, there will be no original thought, only mimicry. We even mimic the cringe. We can expect an Indian version of the Aalewis Reddit post from an Indian "professional quote maker" sometime soon
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^ (@Oct27_x) reported@Ntr1166177 *Typo error ( Reddit rumours are true )
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James Altucher (@jaltucher) reportedThere are two primary bottlenecks to today's AI. And solving these bottlenecks is where the money is right now. A) DATA - the big models have ALL the data already. All the texts, videos, reddit posts, tweets, etc. How can they get more data? Other than the natural daily creation of new data the biggest repository of UNUSED data is behind the corporate firewall. Whoever can unlock the data behind the firewall will create a model bigger than anything OpenAI can do. The key is this: corporate data does not want to be free (competition reasons or even legal reasons in the case of healthcare) So the method has is decentralized learning techniques where AI trains locally inside the firewall, and then shares its weights (but not the data that created those weights) to an AI model that stitches this together. This is where $TAO is the best in the world and at a $2.5B value is cheap. B) CONNECTIVITY = POWER. Everyone is complaining about power. But people don't realize that the power problem is really a connectivity problem. 100,000 GPUs in a data center means a million or more copper / electricity interconnects connecting them all. Change that from electricity to MicroLEDs and you wll use 1/30 of the power. Problem solved. Who is doing this? $MRVL $ALAB $FABC $KOPN
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Amin (@eCom_Amin) reportedfable 5.1 is insanely CRACKED at finding winning google ads angles to scale your brand past $1m/mo research skills jumped from 24.7% to 52.6% so here's every prompt you'll need to reverse-engineer competitors' funnels and rip some banger gads based on it: (actually run them all rn, don't just save this) 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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Daddy No Legs (@questioncom) reported@NotLizBrody It’s like the number one thing coaches tell people. If you dont have money for the **** to support the cycle, stay off. Do they listen? No. They rush to Reddit and cry about their **** not working, all the acne, the gyno, etc. Then have to wait it out while everything crumbles
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सम्यक সম্যক (@samyak128) reportedAll Indian discourse is a mimicry of American discourse from 10-15 years ago. This means we are now in the era of cringe Reddit adolescent atheism, which is basically people in their 20s projecting their issues against their parents through the internet. But since this is India, there will be no original thought, only mimicry. We even mimic the cringe. We can expect an Indian version of the Aalewis Reddit from an Indian "professional quote maker" sometime soon
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IamLeo (@ImLeoRey) reported@Techjunkie_Aman This is terrible news, nexusmod has become tyrannical and toxic, it's like the reddit of mods.
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David G Quaid (SEO) (@DavidGQuaid) reported@NomadicBackpac1 so everyone likes to pile on with... So is a dead server - but you never see "having a live server" is good for SEO. There's a line - if it doesnt help SEO - then its not "optimizing" Fixing a page that used to rank by taking "draft mode" off - isn't SEO. It doesnt take an IQ of 145 to figure this out? Go look at the top ranking sites for many high CPC categories and show me they're all the fastest. They're not - many of them fail the CWV test - as many people point out on Reddit.... Saying Google punishes slow sites is cyclical for "I ran out of SEO ideas"
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Mick Jay (@mickjayofficial) reported@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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(⌐•_•)▄︻デ═══一 (@ke4ton_) reportedreddit 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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ARIA (@attntion_s55ker) reportedthere are so many ppl on reddit who are like this is a terrible med that ruined my life and i know it's just reddit but I DONT KNOW ANYONE ELSE WHO HAS INSIGHT ABT THIS
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Mike Sulka (@SulkaMike) reportedFable 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@nicole07133 @00MF0E She started taking IG post down when Reddit began picking up on just how much she contradicts herself.