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Problems in the last 24 hours
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Most Reported Problems
The following are the most recent problems reported by Reddit users through our website.
- Website Down (45%)
- Errors (29%)
- Sign in (26%)
Live Outage Map
The most recent Reddit outage reports came from the following cities:
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Sign in | 4 days ago |
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Errors | 4 days ago |
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Errors | 14 days ago |
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Website Down | 20 days ago |
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Website Down | 22 days ago |
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Reddit Issues Reports
Latest outage, problems and issue reports in social media:
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(⌐•_•)▄︻デ═══一 (@ke4ton_) reportedreddit sucks because you know if you actually bothered to login and make a post like this it would get taken down for any number of automatic vague reasons
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Kordon Rotaract (@RotaractKordon) reportedreddit thread from 2015 just solved a problem I've had for months, bless that random user
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Grant Miller (@AIGuide_) reportedClaude 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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Yash (@yashlame) reportedCall 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.
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VibeDraft (@vibedraft_app) reportedthe 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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Monter (@buildwithgoks) reported@pcshipp Reddit can work, yea. But I’d start with search terms where people already sound frustrated. Reddit threads, X search, niche forums. Reply first, then post the best answer again on your own profile. What problem does the app solve?
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Al🍺🚬 (@doomzday_zone) reportedthere are postal fans who will acknowledge that hes just kind of a nasty prick but theyre all on reddit and they have their own problems, mostly being disregarding that postal dude has any characterizing elements about him at all that isnt just 'player insert'
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🏳️⚧️ R.I.P. LYDIATÁR (@volkmardeadguy) reported@slimesphere @penis_beast The monetization isn't even bad, my issue is their ****** mod manager is cheeks and the actual dev of it replies to every reddit thread saying "its just an issue on your machine not the app"
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Mike Sulka (@SulkaMike) reportedWSJ 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.
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BLACK DUMPLING™ (@BlackDumpling) reportedIt 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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Nishant Nischal (@Nishant_N_25) reportedHow to get thousands of signups without spending $1 on ads: Instead of launching your SaaS with a paid paywall: 1. Pick 1 feature from your product 2. Spin it off onto a standalone landing page 3. Remove all login/sign-up friction 4. Add a clean "Powered by [Brand]" watermark 5. Launch it on Product Hunt & Reddit A great free mini-tool will bring in more leads than a 6-month marketing campaign.
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Lothaen ⛏️ (@Lothaen) reported@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.
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DingusCola SLOTS CLEARED (@fackinbuddy) reported@___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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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
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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
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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.
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Morpheu5 Stock Watcher (@Morpheu5Watcher) reportedREDDIT $RDDT ADDED $2.6B TODAY OVER TWO CONTRACTS WORTH $130M A YEAR: Reddit RDDT at $158.11, +$13.47 / +9.31% today, one of the largest gains on the board among big, widely-followed names - and the company itself did nothing to earn it. The San Francisco company runs the network of user-written forums people land on when they add "reddit" to a search, employs 2,555 people, and makes almost all its money selling ads inside those conversations. The day around it: S&P 500 ETF Trust, ticker SPY, at $765.27 (after hours), +$3.49 / +0.46%. One stock, not a market. WHAT WAS ACTUALLY SAID Colin Sebastian at Baird kept a Neutral rating and a $185 price target - the level an analyst reckons the shares are worth - and made an unusual argument. Not that good news is coming: that the bad news is already in the price. Today's share price, he wrote, already sits near his worst case for two expiring contracts, and he valued a middling outcome at roughly $10 a share of extra value, a good one at roughly $20. That is the whole catalyst: an unchanged rating and a sentence about what the price already assumes. THE TWO CONTRACTS Reddit charges AI companies for legal access to its archive of human conversation instead of letting the text be scraped for free. Two of those deals matter: - Alphabet, the owner of Google, at $337.38 (after hours), +$2.36 / +0.70% today: a reported $60M a year, from a February 2024 expansion of its access to Reddit's data - OpenAI, privately held, with no shares anyone can buy: a reported $70M a year, from May 2024 Both expire next year. Neither has been renewed in public. Together that is $130M a year against $2.78B of revenue - the money coming in the door - across Reddit's last four reported quarters. Roughly 4.7% of sales. Set the two side by side. Today added about $2.6B of market value - the share price times every share - against contracts bringing in $130M a year. Twenty years of that revenue repriced in one session, on an argument that the fear had gone too far. WHY IT NEEDED AN ARGUMENT The June quarter, reported July 30, was not the problem. - Revenue $804.9M, +61% from a year earlier - the eighth quarter in a row above 60% - Advertising was $762M of it, +64%; everything else, licensing included, $43M - Profit $252.8M, or $1.25 a share, against about $0.97 analysts modeled, from $89.3M a year earlier - People using Reddit on an average day: 130.3M, +18%. Money earned per user: $6.18, +36% - This quarter was then guided to $860M-$870M of revenue, above the roughly $830M modeled Beat, guided higher, and down 20.99% the next session - $178.04 to $140.67 on July 31, on 29.9M shares against a normal 4.5M. Two worries did that. Visitors arriving from Google searches had gone choppy, and no new AI licensing deal was announced. Both are one worry in different clothes: how much of Reddit turns on a larger company's decisions. Which is why Alphabet is in this story twice - as the customer paying the $60M, and as the search box deciding how many people show up. THE PART THAT SHOULD SLOW ANYBODY DOWN Reddit did this exact thing three weeks ago. On August 14 it closed at $178.09, up 12.63% in a session, on news it would join the S&P 500 - the index that fund above tracks - on August 18. Index funds have to buy what the index holds, so that was real, dated, mechanical demand. By September 1 the stock closed $144.64. The entire 18.78% handed back over twelve sessions. Today's $158.11 close is one cent below the $158.12 it closed at on August 13, the day before the index news broke. Three weeks, two double-digit jumps, one full round trip. The shape today was strong - opened $143.71, dipped to $143.50 early, closed within 16 cents of its best price of the day - but on 5.32M shares against a 7.03M average over the past month. A 9% move on lighter turnover is a smaller crowd setting the price than the percentage implies. Wider frame: the shares sit 44.1% under the $282.95 of September 18 last year, and $19.93 / 11.2% under where they closed the day before the July report. WHERE IT SITS Reddit is fourth on the Hypergrowth Len5, which watches early companies growing fast. It earns that on both halves at once - 18% more people showing up, each worth 36% more - which is how a 61% quarter gets built without either number carrying it alone. WHAT WOULD CHANGE IT: management's own map for this quarter is +47% to +49%, the first sub-60% quarter in two years. Growth settling there and easing further makes this a bigger company growing slower, which is a different style's shape. None of the other five carry it. Momentum watches a company climbing on news of its own, and an outsider's opinion is not that; a high built on Reddit's own October figures would be. Quality-Value hunts a durable business at a fair price; 33.6 times the last year of profit is arguable, but durability is the harder half while a real share of visitors arrives through somebody else's search box - user growth holding through a referral downturn is what would settle it. No dividend answers Income in one line. Alphabet sits first on that same Quality-Value Len5 - the top name on it - because search and cloud are about as hard to displace as any business gets, and the price reads as a real discount rather than merely fair. WHAT WOULD CHANGE IT: search revenue shrinking as people ask AI assistants instead. WHAT TO WATCH, AND THE RISK October 29 is the next hard fact, when Reddit is expected to report - not company-confirmed. That is where +47% to +49% either lands or does not, and where any renewal news surfaces. The risk is that nothing was signed today. No contract renewed, no talks confirmed, no figure published. What moved was one analyst's read of what the price already assumed - and twice this summer this same stock has been handed a reason to jump and then spent a fortnight giving it back. Not investment advice.
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Carnelian🇺🇸🦖 (@carnelianpagan) reported@HazelAppleyard Surely he knows what a **** looks like, considering he has one. They don't all look the same but it's pretty close. Unless he's never looked down? That post is a whole can of worms. Dude need serious therapy, not reddit troons.
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The Wise Investor 🧠 (@TheWiseIC) reported@varuninvesting $RDDT - AI becomes a “black hole” for attention, all advertisers flock to ChatGPT and Anthropic which have 2-3B daily users. Dead internet theory becomes reality. So worst case scenario, it’s not just Reddit that’s in trouble but also meta, Snapchat, Pinterest, Google, etc … Much easier to bet on something NOT being a 0 than it is being priced for perfection.
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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
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Arthur (@arthuryuzbashev) reportedIf your startup has no traffic right now, it's a skill issue. Reddit gets 10M+ daily visitors hunting for solutions to their problems as we speak. You don't need an audience. You don't need followers. You don't need a brand. Right subreddit. Right place. Right way to promote. That's the whole formula. The subreddits are public. The winning post formats are public. Everything is free. One post per 48-72 hours. 30 days. Zero bans. What's your excuse?
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finngaalkn 🏳️⚧️🏳️🌈🐺#NEVERTrump#NEVERMAGA (@finngalkn) reported@beardpandaa I’ve been called “theyfab” and I’m a whole *** binary trans man. Some of those comments about trans men having “privilege” meanwhile over on Reddit r/trans has been completely shut down because a trans masc tried to point out underlying transandrophobia and the entire subreddit
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Amin (@eCom_Amin) reportedfable 5.1 is insanely CRACKED at finding winning google ads angles to scale your brand past $1m/mo research capacities literally DOUBLED so here's every prompt you'll need to reverse-engineer competitors' funnels and rip some banger gads based on it: (actually run them all rn, don't just save this) 1. load the brain before you ask it anything the research is only as sharp as the context. upload: - pdps - reviews - website - funnel pages - competitors - report CSVs - brand docs - ICP info - winners - losers literally everything then run this: "act as the angle research lead for this brand. read everything uploaded and build a working profile: ICP segments ranked by revenue, the pain points in the customer's own words, the objections ordered by how often they appear, the proof we already own, and the beliefs a buyer must hold before purchasing. do not propose angles yet. summarise what you found, then tell me what context is MISSING" that last instruction is the whole game. prompt engineering is cope just have claude tell you what he needs from you and give it to him. anybody who disagrees just loves to overcomplicate things. 2. mine untapped databases that semrush misses prompt: "search reddit threads, quora answers, amazon reviews and Q&A sections, youtube comments on competitor and category videos, tiktok comments, trustpilot, and niche forums for people discussing [PROBLEM CATEGORY]. extract VERBATIM language, never paraphrase. for each goldmine you find, give me this: the quote, the pain underneath it, what they already tried, why it failed them, the outcome they want, and the emotional state behind it" paraphrasing is how angles end up sounding like ai slop. the whole value is in knowing your ICP's EXACT words and repeating them on ads. 3. reverse engineer every competitor funnel end to end "research [COMPETITOR 1, 2, 3]. use google ads transparency center, meta ad library, their landing pages, checkout flow and email capture. for each: every live ad and where it routes, the landing page TYPE, the hero promise, the mechanism they claim, the proof they lead with, the objections handled and in what order, the offer and guarantee, and what they are NOT saying" then: "for each competitor page, tell me which awareness level it was built for. then identify which of their traffic is landing on the wrong page type" this is how you find gaps in your competitors strategies that you can capitalize on 4. diagnose market sophistication BEFORE choosing an angle this is the step 9 out of 10 brands skip and it decides whether your angle has any chance: "assess the market sophistication level for [CATEGORY] using schwartz's 5 stages. analyse competitor ads and landing pages as evidence. stage 1 means nobody has made the claim yet. stage 2 means claims are escalating. stage 3 means mechanism differentiation has started. stage 4 means mechanisms are competing. stage 5 means the market is exhausted and identification wins. tell me which stage we're in, the evidence, and what type of angle still works at this stage" if your category is at stage 4, a bigger promise does nothing. every competitor already made one. if you're operating in stage 5, the mechanism is exhausted too, and the strategy has to shift again your ad is only good if it resonates with the market it operates in 5. score every angle against awareness and funnel stage "from the research, generate 15 google ad angles for my brand. for each: the awareness level it serves, the funnel stage it belongs in, the sophistication stage it's valid at, whether it's validated by competitors or white space, the proof required to run it, and the funnel type it should be tested through. rank by expected impact and flag any we lack proof to support" an angle without proof is a claim. claude will rank those last 6. map the keywords to the angles, not the products "build the keyword universe for [BRAND] using the customer language and competitor research. split into branded, competitor, problem-aware symptom queries, solution-aware category queries, comparison, use-case, and occasion. tag each with awareness level, the angle it pairs with, the funnel type it routes to, and the campaign that should own it" this will make everything nice and organized 7. turn the research into the campaign plan "turn everything above into a 30-day google ads launch plan for this specific brand, its AOV, margin structure and market sophistication stage. for each campaign, give me: the angle it carries, the keyword cluster, the landing page type, the creative direction, and the signal that decides whether it scales, holds, or gets cut. separate must-launch from phase 2 tests" then: "tell me which 3 angles to test first and why, given our sophistication stage and the proof we currently own" and that's literally it your competitors are testing angles with fat budgets while you analyze it all, learn from their mistakes, and (ethically) rip their winners with a unique twist and if you want me to audit your brand's google ads angles using this system and show you how we'd capitalize on the winning ones... DM me "OPP"
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Akari Rini 🌐⭐ (@akaririnii) reported@Necromel211736 i aspire to be as tech savvy as you one day!! random reddit tech problem forums are my savior
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James Altucher (@jaltucher) reportedThere are two primary bottlenecks to today's AI. And solving these bottlenecks is where the money is right now. A) DATA - the big models have ALL the data already. All the texts, videos, reddit posts, tweets, etc. How can they get more data? Other than the natural daily creation of new data the biggest repository of UNUSED data is behind the corporate firewall. Whoever can unlock the data behind the firewall will create a model bigger than anything OpenAI can do. The key is this: corporate data does not want to be free (competition reasons or even legal reasons in the case of healthcare) So the method has is decentralized learning techniques where AI trains locally inside the firewall, and then shares its weights (but not the data that created those weights) to an AI model that stitches this together. This is where $TAO is the best in the world and at a $2.5B value is cheap. B) CONNECTIVITY = POWER. Everyone is complaining about power. But people don't realize that the power problem is really a connectivity problem. 100,000 GPUs in a data center means a million or more copper / electricity interconnects connecting them all. Change that from electricity to MicroLEDs and you wll use 1/30 of the power. Problem solved. Who is doing this? $MRVL $ALAB $FABC $KOPN
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Zakuza (@TheZakuza) reported@ChrisMurphyCT Did you forget to login into your reddit account ? you forgot to add "and everyone clapped" at the end
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formless_electrons (@FormlessE) reported@DoctorLoops Reddit mods are like janitors. But unpaid and usually have terrible social skills.
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berk 🔻 (@berkpvnk) reported@JohnSmith5z5e @HDRgameAnalysis I was having issues with the movement on controller, someone on reddit said to change the deadzone from round to square/raw and that fixed it. I use a Gamesir controller so maybe it's just brand specific
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hooftly (@hooftly) reportedSomething 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.
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Arjun Premkumar (@arjun_prmkmr) reported@ayoub_el77927 Talk about what and how you solve the problem on X an Reddit as much as possible.