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Reddit is a social news aggregation, web content rating, and discussion website. Reddit's registered community members can submit content, such as text posts or direct links.

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Most Reported Problems

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  • 44% Website Down (44%)
  • 30% Errors (30%)
  • 26% Sign in (26%)

Live Outage Map

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CityProblem TypeReport Time
Patna Errors 15 days ago
Monclova Sign in 16 days ago
Nice Errors 16 days ago
Guayaquil Errors 26 days ago
Veracruz Website Down 1 month ago
Bhubaneshwar Website Down 1 month ago
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Reddit Issues Reports

Latest outage, problems and issue reports in social media:

  • ikasu0
    いかす🍫🥁📶 (@ikasu0) reported

    why are they deleting posts about nebula being down on reddit bro you're suffering from success brag about it

  • Pelotudooo0
    rami (@Pelotudooo0) reported

    @MurfyCurfyFART reddit is down the hall ***

  • BriocheGenie
    Bread Goblin (@BriocheGenie) reported

    @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

  • colinsechay
    Colin Sechay (@colinsechay) reported

    @Fran_Casaretto_ 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

  • SulkaMike
    Mike Sulka (@SulkaMike) reported

    WSJ says Gemini 3.8 Flash, internally called Skimaki, could release as soon as today. Google engineers using it inside Jetski reportedly preferred it to Anthropic's Opus in head-to-head coding work. That's an internal opinion, not an independent benchmark, but WSJ reporting it from employees is a pretty substantial upgrade from the X cottage industry leak-account chatter we've had all week. Reddit actually adds an interesting piece to this. People already using 3.7 Flash keep coming back to the same thing: not that it is magically smarter than everything else, but that it is so damn fast. I agree. One developer described building several semi-complex web apps and said watching it work was a “hoot” because of the speed. Another heavy Claude/ChatGPT user said moving to 3.7 gave him “whiplash” because of how quickly it could iterate through coding work. A model that's 95% as good but can take three swings while the expensive model takes one may actually be the better coding model. There are also Reddit posts this morning claiming Gemini is identifying itself as 3.8 Flash even though the model selector still says 3.7. I would ignore those completely as proof. Asking an LLM what model it is remains the AI equivalent of asking a golden retriever who manufactured the dog food. Google's public pages still haven't given us a gemini-3.8-flash endpoint as I write this, so we're not across the finish line yet. But if 3.8 lands and independently backs up the WSJ coding claims, I think the story is pretty simple: Google may be turning latency from a product feature into an intelligence advantage. In agentic coding, the fastest good model gets to make more mistakes. And more importantly, it gets to fix them before the other guy finishes thinking.

  • Super_HunTTer
    Yula (@Super_HunTTer) reported

    @OriTheOriginal Exactly my thoughts I respect how insane the lore is, and I enjoy some of his character writing, but overall the book is losing me more and more with each issue I don't want to read Reddit threads explaining wtf is going on to me after every issue 🫩

  • om_patel5
    Om Patel (@om_patel5) reported

    grok bot made me exactly $262 today for my startup my entire sales and marketing team is 8 agents in a chat app 1\ lead scout figures out who my buyer actually is based off my existing customers, then goes and finds them pulls the list from apollo (cold leads), watches reddit, x and linkedin for anyone complaining about a competitor or asking for what i sell (warm leads) scores them 1 to 100 and drops anything under 60 2\ outreach engine takes that list and reaches out on whatever platform the lead came from cold emails go through resend, tue wed thu, 7am their local time, 4 emails with a day 3 follow up reddit, x and linkedin leads get a dm or a reply on the exact post that flagged them verifies every address first and rotates the sending domain so nothing lands in spam 3\ cold open writes the opener and does every reply after it it quotes what they actually said so the first line is never generic then keeps the thread going until they book or ghost me 4\ objection handler runs the support chat on my site, wired into my product knowledge base when someone goes back and forth it answers the real question instead of stalling, and kills the objection before it turns into a churn 5\ pricing architect watches which tiers people actually buy, moves prices up and down, and tells me where the money is sitting 6\ deal room the people who are almost there but need a human to close, like someone who wants a demo first it flags them and sends the booking link so i only get on calls with buyers 7\ content engineer writes posts for reddit, x and linkedin that promote the product, plus long form youtube video scripts built to rank on google and get cited by ai everything lands in drafts with ideas and hooks attached 8\ clipper cuts my youtube videos into short form and posts them to tiktok, reels and shorts all i need is one thread that shows me the whole system and it moves whether im awake or not people keep trying to hire a marketing team, but now all you need to do is write down what one actually does and then build it with @bot

  • RealMoZDS
    Mo D.S. (@RealMoZDS) reported

    @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.

  • GOPandMe
    GOP & Me (@GOPandMe) reported

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

  • colinsechay
    Colin Sechay (@colinsechay) reported

    @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

  • yoursimmo11
    Simmo (@yoursimmo11) reported

    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.

  • graphtheory
    graphtheory (@graphtheory) reported

    It’s funny to me that people are trying to set boundaries with the evil tankies who want to burn everything down by being like “VPs at banks only make like $200k” You’re talking to a waitress at a gas station who dunning Krugered herself on Reddit, don’t bother, you’re the enemy

  • baroquerational
    Baroque Naturalist 🫒 (@baroquerational) reported

    @SYNESTHEIZURE @pannekook I'm too honest with myself, that's the problem. I don't like having to pretend to believe in dogma just to fit in with others. All my social views are based on what I think makes sense, not on what contrapoints or reddit say. That's why your views are incoherent and mine arent.

  • jaltucher
    James Altucher (@jaltucher) reported

    There are two primary bottlenecks to today's AI. And solving these bottlenecks is where the money is right now. A) DATA - the big models have ALL the data already. All the texts, videos, reddit posts, tweets, etc. How can they get more data? Other than the natural daily creation of new data the biggest repository of UNUSED data is behind the corporate firewall. Whoever can unlock the data behind the firewall will create a model bigger than anything OpenAI can do. The key is this: corporate data does not want to be free (competition reasons or even legal reasons in the case of healthcare) So the method has is decentralized learning techniques where AI trains locally inside the firewall, and then shares its weights (but not the data that created those weights) to an AI model that stitches this together. This is where $TAO is the best in the world and at a $2.5B value is cheap. B) CONNECTIVITY = POWER. Everyone is complaining about power. But people don't realize that the power problem is really a connectivity problem. 100,000 GPUs in a data center means a million or more copper / electricity interconnects connecting them all. Change that from electricity to MicroLEDs and you wll use 1/30 of the power. Problem solved. Who is doing this? $MRVL $ALAB $FABC $KOPN

  • salvbv
    salba (@salvbv) reported

    @LRSerling reddit loves to shove r/projectzomboid down my throat to infiuriate me with people that play with 1000 military mods and every friction in the game removed in the name of qol or "it's a sandbox game there's no cheating"

  • hello_code_
    John (@hello_code_) reported

    @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

  • SingleLayerch
    MarsIQ (@SingleLayerch) reported

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

  • squidlord
    Alexander 'Lex' Williams (@squidlord) reported

    @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.

  • mdemt
    Bmore73 (@mdemt) reported

    @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.

  • maulik_5
    Mαulik (@maulik_5) reported

    there have been so many weird little chapters with my app lately started at $0. got my first $29 payment thought okay... we're doing this! then nothing for weeks visitors dropped signups came in but trials didn't someone literally told me they stopped because onboarding asked for a card too early so i rebuilt things then rebuilt them again landing page onboarding ui/ux performance basically everything i could convince myself was “the problem” at one point a post about my yc application randomly hit 84k views and brought in hundreds of followers and then my next posts went back to being... well, my next posts 😭 reddit got banned too cancelled claude because i knew i was spending too much time building then somehow burned another $20 on ai credits fixing onboarding again and honestly, there were days where i felt like i had absolutely no idea what i was doing especially seeing other founders move so fast while mailient barely moved but that's also when something changed i stopped thinking about how to make mailient look successful and started thinking about how to actually make it work one customer one problem one clear promise one real reason to come back still at $29 still going for $200 mrr still a long way to go but i'm still here building it. DON'T U EVER GIVE UP!

  • peterb0yd
    peter (@peterb0yd) reported

    I have a habit of browsing the internet immediately after sending a prompt in Cursor. My brain doesn't want to context switch to work on a different part of the code. It wants to ensure the code I'm currently working on is complete before I move on to something else. But I also don't want to sit there and wait for the agent to finish working. That's too boring. So the easy thing is to open X, email, or reddit. Herein lies the problem. My goal is to replace this habit with - move around the room and stretch - go outside Any other ideas?

  • akinkep
    akin.korpe (@akinkep) reported

    The biggest barrier to marketing on Reddit is the fear of getting banned. Founders want to share their product, but moderators or AutoMods take them down instantly. The pain point we focused on while building FindEvo was exactly this. We saw that dropping direct links doesn't work and ruins community dynamics. The right workflow is: first understand the problem, offer methods to communicate safely without getting banned, and then build an organic connection. A founder's real pain isn't spamming; it's making their voice heard safely.

  • engr_117
    Zee_Engr (@engr_117) reported

    @reddit_lies @RationalBlonde Can we report on Reddit discrimination? Same issue with /layoffs Reddit community. They ban anyone who talks and shares true fact on H1B, OPT, offshoring issue

  • AngloOrthodox22
    ☦️🇦🇺 (@AngloOrthodox22) reported

    @kylantisfeniks0 Reddit is down the hall and to the left

  • valkurung
    Valkurung (@valkurung) reported

    @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.

  • AIGuide_
    Grant Miller (@AIGuide_) reported

    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.

  • FINTECHTVglobal
    FINTECH.TV (@FINTECHTVglobal) reported

    Today's @NYSE Notables with @JD_Durkin: 🟢 Reddit $RDDT +9.31% bouncing back on institutional accumulation after its S&P 500 addition, still down 33% year to date

  • vibedraft_app
    VibeDraft (@vibedraft_app) reported

    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.

  • Beta_Knight13
    Beta Knight (@Beta_Knight13) reported

    @JoJo28130026 @theisleofficial You may be in a different server they moderate if you ever got banned somewhere else. Discord mods, reddit mods, all the same tubs of lard

  • DampDEV
    Damp (@DampDEV) reported

    @Andrrvx @ItzDaRealGoldox @Roblox Roblox isn’t known for a predator problem, you’re just stupid and listen to half assed media that gets paid to engagement bait. There’s no more predators on Roblox as there is on Discord, Forums, Reddit, Minecraft, Fortnite, etc. You just listen to everything you’re told lol