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 (46%)
• Errors (29%)
• Sign in (25%)

Live Outage Map

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

City	Problem Type	Report Time
Patna	Errors	9 days ago
Monclova	Sign in	10 days ago
Nice	Errors	10 days ago
Guayaquil	Errors	20 days ago
Veracruz	Website Down	26 days ago
Bhubaneshwar	Website Down	28 days ago

Full Outage Map

Community Discussion

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Reddit Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Bread Goblin (@BriocheGenie) reported 9 minutes ago

  @itzTizzleYT it's his fault when he literally doesn't experience the things he writes about. he sees a reddit comment and desperately tries to hit word count for Forbes. he doesn't play the game, he needs to stop talking about its issues like he does

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  Lothaen ⛏️ (@Lothaen) reported 11 minutes ago

  @the_austin_hull @GreywolfLuke A furry? Good one reddit rambo. I loath furries as much as I loath retards who can't argue their position. Break it down for me. Where does the AR9 shine and where does the MP5 shine? Where to they each fail? Be objective. 1) the ar9s charging handle is not in an ergonomic position. It's not a natural movement for the support arm to cover all that distance to the rear. To argue otherwise is compete faggotry. Now the use of the bolt hold open does improve the economy of movement and is a legit argument in favor of the AR9 as it allows you to bypass the repeated use of the charging handle on reloads. 2) The in line design is not ergonomic as many shooters are shooting with cervical spine ***** while maintaining contact with the toe of the stock which puts the recoil impulse above the shoulder mitigating the in line recoil impulse of the AR platform. Factors to get around this are higher optic mounts but this worsens cheekwield. The drop comb on an mp5 let's the stock remain in the pocket, gives consistent cheekwield instead of the step down stock to buffer tube (position depending). The recoil impulse is above the shoulder due to this design but the bolt and carrier weight on the mp5 is lighter than the AR9 giving the user less muzzle flip and more control. Especially important in the era of FRTs. 3) The magazine changes are faster on an AR9 again the economy of motion comes into play here with the additional controls. No argument there. I keep seeing you say the AR9 is more ergonomic and vibes and **** but you lack any semblance of reason or argument to back your statements. In some areas like reload speed it is superior. In other areas the ergonomics are lacking AR boys are just too stupid to admit fault on America's rifle. I have AR15s older and have shot multiple disciplines with said rifles... and yet I can admit that there are two sides to the coin as to the AR15s "vastly superior ergos" as some like yourself would claim. To blanket state that the mp5 has poor ergonomics is absolutely a reddit tier take. We can go on and on but I suspect you wouldn't give ground because your **** take is backed by a huge ego. Stop being cringe. The whole gun community is literally calling out your take as gay and full of aids.

• 
  heated rivalry anti 🦈 (@imaloteveryday) reported 14 minutes ago

  this just being a coke rant of reddit twitter terms. this is because none of your problems exist in real life

• 
  Grant Miller (@AIGuide_) reported 16 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.

• 
  Simmo (@yoursimmo11) reported 20 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.

• 
  midgame iron btw (@afrewbrews) reported 24 minutes ago

  Twitter and Reddit communities couldn’t be farther apart on this issue

• 
  Justinas Rolando (@JustinasRoland0) reported 27 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

• 
  Valkurung (@valkurung) reported 29 minutes ago

  @AleG17Ric Can we not just mass report the subreddit and get it taken down? They do nothing but post threads and pictures of other people to harass them and brigade against them and **********. It's not productive nor does it seem like something Reddit should want on their site.

• 
  James In Beta (@JamesJames518) reported 29 minutes ago

  RedditMaster Karma Mode actually wasn’t something I originally planned to build. But after talking to RedditMaster users, I kept hearing the same problem: new Reddit accounts often can’t post where they want, and it gets frustrating fast. A lot of people end up buying accounts, but purchased accounts can be risky and get banned easily. The other option is using an agency’s accounts, but then all the traffic goes to accounts you don’t own, and the quality can be inconsistent. So the safest long-term approach is still to grow your own account organically. That’s what RedditMaster’s Karma Mode is built for. Our users typically reach around 1,000 karma in about 90 days. I am really proud about what we achieved.

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  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!

• 
  TravHogan (@travhogan) reported 31 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.

• 
  𒀖Ackza𒀖₿ (@ackzacrypto) reported 32 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

• 
  BLACK DUMPLING™ (@BlackDumpling) reported 32 minutes ago

  It will go down in history that there was an entire era of the internet where women would tell outlandish stories on Reddit explicitly to drive engagement to a profile that linked to an OF. Like they were straight up violating the Ten Commandments as a marketing strategy.

• 
  Dude (@Randomuser22147) reported 36 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.

• 
  Mo D.S. (@RealMoZDS) reported 40 minutes ago

  @cloudosaur @emilykmay It doesnt. It proves you're not reading. You're feeling. It throws into question your perspective on the situation as a whole. My whole point with the OP was she can't read either. Her post was unrelated to what the author of the reddit post actually wrote. Thats the issue.

• 
  TradingRuppe | Investing (@TradingRuppe) reported 41 minutes ago

  🚨 10 WILD THINGS THAT JUST HAPPENED IN THE STOCK MARKET TODAY (WEDNESDAY, SEPT 2, 2026) 🚨 1. Dell Technologies Squeezes +4.7% ($DELL): PC and enterprise giant $DELL climbed +4.7% on heavy buy-side volume after beating fiscal Q2 2027 estimates, powered by accelerated enterprise demand for high-capacity AI server hardware.  2. 10-Year Treasury Yield Touches 4.81% Multi-Year High: Global debt selling pushed the 10-year U.S. Treasury yield up to 4.814%—its highest level since late 2023. Multi-decade high yields in Japan, Germany, and the UK added pressure across international risk assets.  3. Reddit Rallies +7.0% ($RDDT): Social network platform $RDDT surged +7.0% on heavy institutional accumulation as analysts highlighted upcoming high-margin AI training data-licensing renewals.  4. PG&E Drops -9.7% on Capex Cuts ($PCG): California utility titan $PCG plunged -9.7% after cutting capital spending plans and addressing ongoing regulatory uncertainty surrounding wildfire liability frameworks.  5. Oil Rally Pauses After $94 Peak: Following yesterday's military spike, international benchmark Brent Crude pulled back slightly from its $94/bbl high as traders weighed supply disruption risks in the Strait of Hormuz against steady physical supply flows.  6. Edison International Falls -7.6% ($EIX): Utility pressure continued as $EIX fell -7.6% after state lawmakers advanced Senate Bill 492 without expected liability protections for utility operators. 7. JOLTS Job Openings Print at 7.3 Million: July JOLTS labor data showed openings coming in slightly below consensus at 7.29 million, signaling a moderating U.S. labor market ahead of Friday's non-farm payrolls report. 8. Charter Communications Rebounds +4.9% ($CHTR): Telecom heavyweight $CHTR advanced +4.9% on heavy dip-buying following earlier executive leadership changes, leading mid-day media gains.  9. ISM Manufacturing Expands for 8th Straight Month: August ISM Manufacturing PMI printed at 54.6, comfortably above the 50 expansion threshold and confirming ongoing factory production momentum despite higher borrowing costs.  10. Markets Snap 3-Day Losing Streak: Dip-buyers stepped in to stop the September slide, sending the Dow Jones up +295.07 points (+0.56%) to 53,061.95, the S&P 500 up +0.46% to 7,666.60, and the Nasdaq Composite gaining *+0.45% to 26,217.83*.

• 
  Grant Miller (@AIGuide_) reported 44 minutes ago

  Claude Fable 5.1 dropped yesterday and i've had it running on a full GTM stack since it holds way more at once now. you can dump a whole category's worth of X / LinkedIn 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 3 prompts they lifted off a thread. and this is HUGE 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 DESTROYS 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 for you / your team: - 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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  Mick Jay (@mickjayofficial) reported 45 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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  carl (@CarlKingofDucks) reported 45 minutes ago

  @greytownbuilder Damn you got that reddit atheist aura down

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  Bmore73 (@mdemt) reported 46 minutes ago

  @ErimhanAhmet May 2024 — Former sailor’s photos called “worse than prison” A former Navy worker shared mess-hall photos on Reddit (raw-looking chicken, questionable brown meat, pink hotdog, moldy bread). Commenters included veterans from the 1990s who said shipboard food was “really quite awful,” greasy, and off-tasting. Covered by The Mirror.  Longer-term context from reporting: Sailors have long described repetitive menus, declining quality after fresh produce runs out (often within the first couple of weeks), and reliance on personal snacks, protein powder, and ramen to supplement. Midnight rations (“midrats”) were frequently cited as especially sparse leftovers. Ships returning to port rusty after long deployments October 2020 — USS Stout (DDG-55) after 215 consecutive days at sea The destroyer returned to Naval Station Norfolk looking heavily rust-streaked and weathered after a record 215 days without docking (COVID restrictions prevented port visits). Photos circulated widely showing rust patches on the hull. Daily Mail and later Naval News / NAVSEA coverage noted the rust was removed and the ship repainted after return. NAVSEA later used the Stout photo as an example of high operational tempo plus saltwater corrosion.  December 2021 — Broader “Navy is rusting away” reporting Task & Purpose published photos of multiple ships showing rust after deployments, including USS Arleigh Burke, USS Fort McHenry, USS James E. Williams, and USS Zumwalt, plus the 2020 Stout return. The piece attributed it to a “crushing deployment cycle” that left little time for preservation work.  2018–2019 examples and analysis • USS Curtis Wilbur drew comments for a “rusty and shabby appearance” during a 2018 Hong Kong visit. • 2019 Defense News “Rust Dialogues” discussed why U.S. ships often look rustier than allied ships: American vessels stay at sea longer with fewer port visits for chipping and painting. A 2005 photo of USS Normandy mid-deployment was contrasted with later, rustier ships. Corrosion control was already a multi-billion-dollar annual cost.  2023 NAVSEA statement Naval News quoted NAVSEA on rusty ships: high operational tempo + steel + seawater = rust staining wherever coatings are scratched. Crews do preservation at sea, but it is balanced against operations. The Stout 2020 photo was referenced again.  Rust after long deployments is treated by the Navy as expected cosmetic wear from saltwater and limited time for topside work while underway; it is usually addressed after return to port. Food complaints have been a persistent sailor grievance for decades, especially once fresh stores are gone and the 21-day repeating frozen/canned menu takes over. Both issues tend to surface most visibly after unusually long or high-tempo deployments with few or no port calls.

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  DingusCola SLOTS CLEARED (@fackinbuddy) reported 48 minutes ago

  @___EEF_ There are apparently people on Reddit as recent as 4 days ago having the exact same issue on me and the working theory that it’s due to paypal’s ai security. This could validate for a genuine law suit

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  Lila 🤍 (@kisslilasthrone) reported 50 minutes ago

  @MoonMama1111 this is genuinely really interesting to me because twitter has been where i have found the majority of my genuine senders. i never got any from reddit. one from tumblr. etc etc i think it comes down to who/what you engage with

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  Nandkishor (@devops_nk) reported 51 minutes ago

  - 15 minutes late is a problem. - Working weekends apparently isn’t. I came across a Reddit post about an employee being questioned by HR for arriving 15–20 minutes late, despite reportedly working beyond office hours and on weekends. It made me realise how concerning this is. Management notices the 15 minutes an employee is late. But somehow the hours they spend working on weekends go unnoticed. Workplace accountability should go both ways. If you track every minute employees are late, why not track the extra hours they put in ? Fairness or double standards ?

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  rami (@Pelotudooo0) reported 56 minutes ago

  @MurfyCurfyFART reddit is down the hall ***

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  RAF SY AND ZAYNE RING HAVER (@justdancinglmao) reported 57 minutes ago

  @SLAYJENSEN I saw someone on Reddit push sky and Aisha and I’m morbidly curious. I don’t think sky’s parents would have as much issue with Aisha though This person also pushed Stella/Timmy and Bloom/Brandom

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  🇺🇸𝕻𝖆𝖙𝖗𝖎𝖔𝖙𖦏𝕻𝖊𝖗𝖘𝖕𝖊𝖈𝖙𝖎𝖛𝖊𐚁 (@RepublicVox1776) reported 57 minutes ago

  Deadwrong once again LLM... Look, protecting your own Bluetooth devices from unauthorized access, interception, or data exposure is completely legitimate (Bluesnarffing). Grok is here with yet again a false interpretation and takin' sides of conglomerate following its terrible training. If you want to reduce the risk of unwanted access between your phone, your car, or other personal IoT devices, there are a few hardware options that can help with isolation, authentication, or simply cutting down exposure. Some are built for security, some are just practical ways to keep a device from being directly exposed, and all of them can help reduce the chances of unwanted Bluesnarfing or other over-the-air snooping. Here are some pulled from a Reddit thread. Which is what I expected Grok to do... But instead it wrongfully, and commonly flagged my comment as illicit. Ubertooth One — An open-source 2.4 GHz wireless platform used to monitor and audit Bluetooth traffic on devices you own or are authorized to test. iStorage datAshur BT — A hardware-encrypted flash drive that uses Bluetooth-based authentication to protect access to stored data. Besign BK06 Bluetooth Receiver — A Bluetooth audio bridge that can help keep your phone paired to a simpler accessory instead of exposing it directly to a car infotainment system. TUNAI Firefly LDAC Bluetooth Receiver — A portable audio receiver that can serve as an audio-only bridge in some setups. FiiO BTR5 Portable Hi-Fi Bluetooth Receiver — A portable Bluetooth receiver for audio-focused use, useful when you want a dedicated accessory instead of pairing directly with a car system. Mission Darkness Faraday Bag — A shielding pouch that blocks wireless signals, including Bluetooth, when you want full radio isolation. Many can be made and steps to implement in your vehicle would take some brain storming..

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  cinnamon apple (@_______bbyg) reported 58 minutes ago

  I miss the days when @Reddit didn’t force you to down load the app while you’re using Reddit in the internet browser 🙄

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  Amin (@eCom_Amin) reported 58 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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  MarsIQ (@SingleLayerch) reported 1 hour 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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  Dog Dad The Pilot (@TeamBubba23) reported 1 hour ago

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