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 (44%)
• Errors (30%)
• Sign in (26%)

Live Outage Map

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

City	Problem Type	Report Time
Patna	Errors	17 days ago
Monclova	Sign in	18 days ago
Nice	Errors	19 days ago
Guayaquil	Errors	29 days ago
Veracruz	Website Down	1 month ago
Bhubaneshwar	Website Down	1 month ago

Full Outage Map

Community Discussion

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Reddit Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Colin Sechay (@colinsechay) reported 3 minutes ago

  @PrimeTopNews 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

• 
  Amin (@eCom_Amin) reported 5 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"

• 
  Yash (@yashlame) reported 9 minutes ago

  Call it the unsigned citation. An AI engine pulls a Reddit thread into its answer. The thread is about your category. Your product solves exactly that problem. Your name appears nowhere on the page it cited.

• 
  Mohamed irfan (@heyIrfan) reported 10 minutes ago

  If 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.

• 
  SHRIMPMONEYCAPITAL (@SHRIMPMONEYCAP) reported 10 minutes ago

  @LegalYookay on reddit the problem is "men" but never the culture where they're from

• 
  Matt (@whatsinitforme) reported 15 minutes ago

  @LegalYookay Reddit moderators always shut down such things

• 
  Elle's Tenacious Library 🧬🔬 (@DefAMustRead) reported 19 minutes ago

  @SirWins67879341 @crochet_mom314 @thepeaklady I often describe women as falling into one of three categories - TikTok, Twitter, and Reddit. You want a reddit (although I haven't been there in about a year; I hope it's not now terrible like everything else)

• 
  GHOSTBLOCK (@GHOSTBLOCK2) reported 20 minutes ago

  @beerundbacon @Kismetangel1 Why would he possibly give a **** about citizens posting memes? Do you think he is on Reddit looking at what people post about him? Are you ******* slow?

• 
  formless_electrons (@FormlessE) reported 23 minutes ago

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

• 
  Keith Zhai (@KeithZhai) reported 27 minutes ago

  @michael_kove @victor_bigfield reddit on a schedule is a mean test. usually a login page pretending to be a thread. curious what you get tonight.

• 
  hooftly (@hooftly) reported 29 minutes ago

  Something has happened in the trenches. We are seeing the emergence of a new meta that, to me, has always been obvious. If you troll my old Reddit posts, you will see me talking about this. I have always been adamant about one thing when it comes to memecoins... they need more than a meme. Bored Ape Yacht Club were pioneers here because they took an otherwise pretty useless meme and turned it into a social phenomenon. They achieved this by adding exclusive perks for holders, different levels, and more. The lesson learned here? Utility is required for any meme to survive long term or grow further. That utility can look like what BAYC did... Or it can look like something else. How many memecoins have you ever held? Were you glued to the charts, hoping it wouldn't nuke, with your finger on the sell trigger? This is psychologically draining. It's also dying as a meta. Enter MemeFi. The very thing I have been talking about for so long. I'm not the only one who sees this now. It started with Stonkbrokers piercing the veil and really setting it off. People started to realize memes could be more. They could be productive, and they could earn. Once you see this in one place, you start to realize where this is not happening... which is almost every OG meme in the space. Okay, cool, but SB was built from first principles by a builder who was deeply entrenched. They can't all be the same caliber, right? This may be true, because building DeFi is hard. But what if there were a way to make memecoins useful without needing to build massive rewards incentives internally? What if you could also tie it into the growing MEME/Stock pair meta? This is one of the things STATICS is trying to accomplish. You may have heard about our basket tokens and how, when created, Uniswap v4 pools are deployed pairing the Basket Token itself with each of its underlying assets. Three underlying assets in the basket? Three pools are created. This creates an arbitrage graph between the pools, the external venue value of the underlyings, and Basket Token mints and burns. Now enter memecoins and stock pairs. These are already seeing traction, and users are making real yield in liquid assets by LPing Meme/Stock pairs. But what happens when attention ends? What drives trading if no one is paying attention? ARBITRAGE. I know I sound like a broken record at this point, but the more opportunity you have for price divergence, the more opportunity arbitrage traders or bots have to rebalance and profit. This translates to volume. Volume translates to fees. Fees translate into rewards for LPs. And rewards can translate into attention coming back because the yield is good. See where I am going? Basket Token pools don't require speculation to attract volume. All they need is price divergence. In trading, divergence is an everyday occurrence. Imagine a basket with underlyings of NVDA and MEMECOIN. We call it NM1. You then have pools with: NM1/NVDA NM1/MEMECOIN If MEMECOIN dumps hard on an outside exchange, think about what just opened up... The MEMECOIN/NM1 pool has not dumped with it, and this has created a DIVERGENCE. A trader can buy MEMECOIN at the lower external price, sell it into the NM1/MEMECOIN pair, acquire NM1 tokens, burn NM1 for the underlying assets, and profit. The trader was able to profit AND pick up NVDA at the same time. And this is just a super simple example of all the possibilities that open up. $STATICS is building infrastructure to make existing assets useful and, ideally, bring attention back to them. The Uniswap v4 hook also compounds part of the fees directly back into Protocol Owned Liquidity that can't be removed until a pool is decommissioned. This means every trade deepens protocol-owned liquidity. MemeFi is here, and it's being paired with stock tokens. The frontier for this is on @RobinhoodCrypto, and @staticsprotocol is building for it.

• 
  FloweyPilled ⚢ 🦴🌼 (@NyehctarYuri) reported 30 minutes ago

  reddit you are my last hope please dont let me down

• 
  Justinas Rolando (@JustinasRoland0) reported 31 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

• 
  John (@hello_code_) reported 31 minutes ago

  @rcmisk matches what I've seen, the backlink is the actual product, the launch day traffic is just a nice side effect nobody plans around. reddit threads where people already describe the problem convert way better than PH upvote traffic ever did

• 
  Mohit Agarwal (@mohitowit) reported 32 minutes ago

  Is @Reddit down?

• 
  DingusCola SLOTS CLEARED (@fackinbuddy) reported 34 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

• 
  Grant Miller (@AIGuide_) reported 34 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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  Alexander 'Lex' Williams (@squidlord) reported 35 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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  Ifunanya from TechOps (@TheIfunanya) reported 35 minutes ago

  @Ooreoluwa__ Used it in the first few weeks then someone told me to be careful because there’s been issues with it making bottles with wrong formula and water ratio. Then I went down a rabbit hole on Reddit and saw parents saying it landed them in the ER so I just stopped 🥴

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  Anze Markovic | Performance Creative (@anzedetn) reported 39 minutes ago

  Sometimes the best-performing line in an ad isn’t the hook. It’s the line 20 seconds later that describes the customer’s exact experience: “I wake up, and my ankles look almost normal. Then I spend a few hours standing, and by 3 PM my shoes feel tight, my skin feels stretched, and I’m quietly wondering how I’m supposed to get through the rest of the day.” That level of specificity usually comes from Reddit research. It takes time to dig through the posts, comments, and oddly specific complaints people share when they think nobody is listening to them. But our team loves it. Because that’s where you find the emotional details customers rarely say in a survey: The embarrassment of avoiding sandals. The frustration of pressing a finger into swollen skin and watching the mark stay there. The anxiety of planning your day around when your legs will start aching. Specific recognition keeps people watching because they don’t just understand the problem. They feel seen.

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  Kiana_SEO (@KianaS_00) reported 40 minutes ago

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

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  IamLeo (@ImLeoRey) reported 45 minutes ago

  @Techjunkie_Aman This is terrible news, nexusmod has become tyrannical and toxic, it's like the reddit of mods.

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  Jim Reaper (@the_Jimreaper) reported 46 minutes ago

  @BigHandle_369 Core UsesAdd Comment Sections: Website owners use a simple code snippet or plugin to embed a feature-rich comment section on pages or blog posts without building a system from scratch.Unified User Logins: Visitors can use a single Disqus account—or sign in via social media accounts like Google or X (formerly Twitter)—to leave comments across millions of different websites.Moderation and Spam Control: Publishers use the dashboard to filter spam, approve or delete comments, ban disruptive users, and set up automated moderation rules.Audience Engagement: The platform supports threaded replies, upvoting/downvoting, embedding media, and interactive polls to keep readers active on a site.Pros and ConsOpinions are mixed on Reddit regarding the platform.Pros: It is quick to install, provides robust spam protection, and offers a familiar login for users.Cons: Some users and site owners worry about slow page load times, third-party tracking cookies, and giving up data ownership.

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  OrcXtreem (@OrcXtreemo) reported 46 minutes ago

  Pretentious bullshit niggеr fаggot. "Oh no! I won't be peaking into this colorful book of many visual stories. No-no! I don't want to touch this game and its many buttons. I do not want to consume that cartoon/movie/series! This is for manchildren plebs *******! I'm with the Ceaser. I'm with the Hitler. I'm ABOVE ALL OF YOU." God. What a ******* ******. The same fаg as Walsh with his "men should work and stop being infantile children with many hobbies" when he himself ******* sits on his *** doing nothing but talks to the camera so his content would be consumed by people, he wants not to consume content and go to the woods frolic with the wind in a field of flowers or melee a bear/moose or something. Reality is not medieval anymore. You aren't living in the woods. The times is now forcing you to seek help. And when help is taken away by foids, government, jooz, niggеrs and other "social economic factors" men can't go anywhere and do anything. So, they must seek help in other "media" and there are MANY medias that can help with this. You don't need to be a NECKBEARD FAT REDDIT NERD, but it's okay to have a hobby: games, comics, handywork, even knitting is good. Yes, you can go frolic into the field. Yes, you can go to the woods and read many books. But looking down on people who immerse themselves into fantasy of OTHER media you deem "unworthy" is lame and ***. Sometime ago people looked down on frolicking plebs while participating in grand ***** (he said *****) and dancing with elites. I'm working in gamdev my whole life and there are many people incredible: physically and mentally. They read and they can create and they still play games and read comics, manga and do all kind of silly nonsense in spare time. Don't be like this fаggot and lock yourself into something that HE forces you because HE THINKS PERSONALLY that it's not cringe. Nobody owes anyone anything. Do your own ****, just don't ****** kids and don't be a fаggot trаnny.

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  Ray Myers (@TheRayMyers) reported 47 minutes ago

  @ariaradnia The problem is sustainability, I don't think this is sustainable. I believe US DAUs decreased last quarter. Reddit is turning into AI slop machine, and that makes it less relevant for LLMs as a data source. I don't buy it that there is another huge contract coming their way. I don't like their product as a user.

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  VibeDraft (@vibedraft_app) reported 48 minutes ago

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

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  minneauxTx (@MinneauxTex) reported 49 minutes ago

  @storiesbyjemay reddit rumor (from a source at the Montecito school) is there is a US legal issue they are running away from... specifically stated.. Meghan was running from it, but that that it will catch up with her....speculated the feds maybe investigating Archwell ..

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  Kaleigh Moore (@kaleighf) reported 57 minutes ago

  B2B SaaS companies rank well in traditional search but still fail to earn citations in AI search. The fix? Getting experts to post about their knowledge on LinkedIn, YouTube, and Reddit. I built a system to make this programmatic, and it's forged from decade of reporting and vetting sources myself while writing for publications like Forbes, Vogue Business, and ADWEEK. It taught me something that most content strategists never learn: editors and journalists don't cite content, they cite PEOPLE — specific, verifiable, independently credentialed humans with a named point of view and a track record of being right about something.

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  BLACK DUMPLING™ (@BlackDumpling) reported 1 hour 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.

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  Laqpiku (@laqpiku) reported 1 hour ago

  @BAcct8 @coinjoined @NeoxaPortal Also the reddit post was by them. They shought to destroy the only place they traded at because 1) Wrong ticker in their mind 2nd) They didnt like the price when market kept slashing it down.