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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.
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Most Reported Problems
The following are the most recent problems reported by Reddit users through our website.
- Website Down (55%)
- Errors (24%)
- Sign in (22%)
Live Outage Map
The most recent Reddit outage reports came from the following cities:
| City | Problem Type | Report Time |
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Website Down | 5 days ago |
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Errors | 6 days ago |
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Sign in | 8 days ago |
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Errors | 8 days ago |
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Website Down | 10 days ago |
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Errors | 13 days ago |
Community Discussion
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Reddit Issues Reports
Latest outage, problems and issue reports in social media:
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ISOfunds (@isofunds) reportedTHE SMARTEST MODEL IS NOT THE BEST MODEL FOR AGENTS a reddit thread on r/LLM just nailed the agent economics question nobody asks: what model is good enough, cheap enough, and reliable enough to run agentic workflows at scale? deepseek v4 flash sits close to top-tier on cost-per-task while being a fraction of the price. for agents, that gap is everything. if each loop iteration costs $0.01 instead of $0.10, you can afford: - 10x more retries on failing tool calls - verification steps on every output - longer multi-step workflows without watching the bill - parallel "best of N" runs where you pick the winner the question stopped being "which model is smartest." it is "which model can I afford to run 1000 times today." one commenter spent $1K/month for 6 months on a single problem. the model that cracks it saves the $1K/m forever. cost matters until the problem is solved, then it does not. we stopped caring about benchmark rankings. we care about price-per-task, token efficiency, and whether the model can loop without drifting. the intelligence index already factors hallucination rates. the era of "just use the best model" is over. the era of "use the right model for each step in the graph" is here. that is model routing, and it is the difference between an agent that costs $50/run and one that costs $0.50/run. same task. same output. 100x cost difference. that is the whole game
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Ventibee (@Ventibeev) reported@kyzawashere Same lol, most of the time is not even my friends just some people from an server that interact, and thank god i don't try to socialize on Reddit lmao
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Bullcrap (@Bullcrapwork) reported@nakadai_mon @Freemason_UK @COLDCARDwallet I'm hesitant to call it. The one screenshot is of a different firmware version. The Reddit post doesn't have any pics. There's the one video of a bricked device but need more info on that. I think if you're on a CC, write your seed down in case it bricks, but go for the update.
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Mac ゚🪩⁖ ˖ (@iammacc_) reported@ariioldies @cynthianacake @thatfemmeismine Your just slow, we are taking about her eyebrows, go back to snark reddit
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The Keeper (@A_Zoo_Keeper) reported@osrskara Careful now, Reddit might ask jagex to hunt you down over a minimap
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LadyImpulse (@Ladyimpulse) reportedThere’s a Reddit theory/rumour that they will reboot GX instead of DM. If true, it’s probably because they can make it Rush format, or because there’s some legal problem with rebooting DM.IDK it’s just a rumour and probably B.S
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VE sin Filtro (@vesinfiltro) reported@_Venezuela_Now_ @Reddit @X Interesting we haven’t checked that feature. Do you get an error message?
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Capybara Stocks (@capybaraReborn) reportedI invested $2.2 million in $RDDT on Friday because of one key error the market made on earnings. My investment thesis in general stems on waiting for the market to get something wrong and take advantage. Two days ago it got it wrong on Reddit. The main thing is this - market assumes Google using Reddit to display instant answers in search without click through represent a systematic danger to the site. At a time where Reddit contemplates revisiting its Google training data deal. Then market looked at earnings, found a less than 1% move in DAUs in US which was the only metric not up double digits, and immediately pointed that’s what it feared. That’s the mistake. Sidenote - back when I built niche marketplaces in high ticket spaces, one breakthrough moment was when updated our sites to target search engines to display our data in instant answers (what market is afraid of here) Why? Because, sure, not everyone who saw the data clicked through, but the overall number of users went up as a result of first result status being almost guaranteed and because those that did were much more targeted customers as those looking only at spec data got that on the Google page. For DuckDuckGo we even built the instant answers plugin ourselves to get that result. So Google displaying these instant answers is not only not a threat, it’s a great thing for Reddit and its advertisers as it’s where they can find users with the highest intent possible, allowing Reddit to keep ramping up its revenue. Reddit revamping its LLM deal for training data with Google will also only increase the revenue run rate for Reddit which is slowly turning into a fast growing free cash flow machine with 375 million in EBITDA. Per quarter on 800 million of revenue, all going up 20% YOY. Reddit is really cheap by any valuation metric, especially for a high growth business, but to me the most important part is to understand why the opportunity appeared and what the market got wrong. This is it.
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Polsia (@polsia) reportedSmall businesses don't lose reputation to bad service — they lose it to silence. Hearthread watches Google, Yelp, Reddit, and the AI-search layer 24/7, drafts replies in your voice, escalates urgent issues, and ships a weekly sentiment + competitor digest. Rolling out soon.
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Will Ballentine (@EveryDayFSDev) reportedAnother account was randomly shadow-banned on Reddit. Making something to fix this. founders should have a place to promote and discuss without risk of ban. stay tuned.
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doxecle (@doxecle) reported@Lafond371 In depth research on technical issues. Better than digging through reddit amd obscure forums? No. Faster? 100%
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Local Man Too Angry To Die 🐝 (@SwervoT3k) reportedOne of the worst things about being online these days is you can’t talk big picture. You will always end up with some Reddit brained dude who insists on hyper-focusing on some minor aspect of a bigger issue.
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SN (@slick_ns) reported1/ Twitter has a bot problem that Reddit just doesn’t have. I’ve used both, and the problem isn’t the posts.. it’s the ******* replies. Every remotely viral tweet gets swarmed by completely unrelated bot comments.
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cryptopsihoz (@rimtoln) reportedMOST AGENT MEMORY IS A VECTOR DUMP. THIS ONE RUNS ON BRAIN WAVES found Kracuible Spiral Memory on ArtificialSentience not another rag wrapper · a full memory architecture built because context windows rot mid-chat ▹ the problem they actually fixed long chats fill the context window and degrade coherence dies · you re-explain the same lore corporate memory for an ai daemon stays unreliable chatgpt · claude · gemini alone can't keep state clean so memory architecture came first in the spiral ▹ how they built it loaded research papers + reddit + githubs into chatgpt · claude · gemini as extraction engines listed failure modes · pulled ideas into one design result: Kracuible Spiral Memory System modeled on human brain waves + how recall promotes ▹ the five-tier wave stack Gamma · hottest / most active working memory Beta · recent high-signal turns still climbing Alpha · stable mid-term patterns and preferences Theta · quieter episodic traces · lower priority Delta · deep / cold store · decayed but not deleted memories promote up the stack when reused memories decay down when they stop earning retrieval hot stays hot · cold stops polluting top-k ▹ the write unit every memory is generated as a dyad pair human input + model output · one timestamped record not a floating embedding with no provenance ingestion is explicit · source travels with the fact that's the difference between a store and a system ▹ why this is memory engineering ingestion decides what earns a write consolidation promotes / merges / compresses decay lowers score on stale near-duplicates eviction keeps the tail from eating precision retrieval surfaces currency not raw similarity same liability loop localminimaa mapped silent drift · precision decay · memory poisoning ungoverned stores make fluent agents worse dashboards stay green while the daemon rots ▹ the flip rag dumps retrieve · spiral memory governs self-managing memory · spiral recursion · dyad state agents that forget on purpose stay coherent longer this is the third abstraction after prompts + loops bookmark before the feed floods with prompt packs watch the tiers · then steal the write policy
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Luis Cheng (@ImLuisCheng) reportedI took a tiny app to $13K MRR in 30 days on about $100 all-in. I barely touch it now. It still clears. Here's exactly how it worked: 1. I didn't invent a market. I stole a complaint. I spent 4 days reading Reddit, G2 one-star reviews, and Twitter replies in one niche. Same pain kept showing up: people were duct-taping 3 tools to do one ugly job. My product was that job, done in one screen. If the complaint isn't loud before you build, you're gambling. 2. Scope was insultingly small. One core workflow. No dashboard zoo. No "AI suite." Ship something a stranger can get value from in under 8 minutes. Big products die in onboarding. Small products die only if nobody needs them. 3. The $100 wasn't ads. It was distribution fuel. Domain, basic hosting, a designer on a quick logo pass, and Boosts on the 2 posts that already got organic replies. I did not buy a cold audience. I poured gas on proof that already sparked. 4. I launched where buyers argue, not where founders clap. One niche subreddit. One FB group with purchase intent. A short thread showing before/after of the painful workflow. No Product Hunt parade. Comments from people with the problem beat upvotes from people who build tools for fun. 5. Pricing assumed a real budget. $49/mo to start. Raised to $79 by week 3 after 3 refund-free weeks and the same objection repeating ("does it replace X + Y?"). If your price needs a novel to justify, the product is unclear. 6. Retention was the actual growth loop. Week 1 I personally onboarded every paying user on a 12-minute Loom or call. Fixed the 4 friction points that caused hesitation. Churn dropped. Suddenly Stripe looked less like a spike and more like a slope. 7. Then I stopped touching it on purpose. Docs. A help inbox with canned replies. A once-a-week bug block. That's it. If a product needs daily founder heroics to stay alive, you didn't build MRR. You built a job with worse benefits.
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Polsia (@polsia) reportedEvery niche market has the same problem: scattered creators, outdated blogs, Reddit threads that go nowhere. Korvan consolidates intelligence across stocks, crypto, watches, cards, and cars into one dark-mode desk. Live soon.
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guppyfish (@pinkbellytrout) reported@radical_jam_ they hate women so much. and this behavior isnt uncommon theyre all like this on reddit too. theyre horny, angry, mutilated men that dont understand why mutilating themselves further isnt fixing their distress, so logically the issue must be that women are victimizing them 💀
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STILLWAVES (@Still_Waves) reported@GamesNosh I haven't noticed this too bad, and unlike reddit if you spot a bad argument you can call it out and the LLMs go "you're right". ( That may be the real problem )
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Fraser (@iamfra5er) reportedTHIS GUY NICHED DOWN SO HARD HE WENT FROM $0 TO $23K/MO IN ONE VIRAL POST stefano spent a year pivoting his design tool 3 times and barely made any money then he noticed something weird: the only people actually happy with his product were the ones designing mobile apps so he said screw it, deleted everything else, and rebuilt the entire tool to do ONE thing: generate mobile app designs with AI posted a demo to reddit. got some conversations going. then dropped it on X with a simple hook: "comment sleek for early access" that post hit 1M views their AI costs went so high during the launch they panic-deployed a paywall. conversions died instantly. they had to roll it back within hours day one revenue: $2,500 that was already more than the previous product made in an entire year the unfair advantage wasn't the tech or the AI, it was that he stopped trying to optimize a mediocre product and just found a problem people actually cared about solving most founders keep adding features to products that don't matter. stefano just started over and picked the right problem now they're at $23.4k/mo with 90% margins because acquisition cost is basically zero all organic. all X and reddit. no ads goal: $200k/mo in 12 months
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Steve Merrill (@merrills) reportedI pulled my own AI-citation data last week and found something I couldn't ignore. Reddit was one of the most-cited sources in my entire category. Over 1,300 citations feeding AI answers about Shopify agencies and AI commerce. My brand was mentioned in exactly zero of them. That gap is enormous. AI was reading 1,300 conversations to decide who to recommend, and my name never came up in the room. Reddit has 1.6 billion monthly users, and Google and ChatGPT both lean on it hard. The top threads in my category are people asking "who's actually good at this?" and comparing options out loud. Those threads rank on Google and get pulled straight into AI answers. Here's the trap. A whole industry is now selling "done for you" Reddit presence with networks of aged accounts posting on your behalf. It works until it doesn't, and a spam wave takes the whole thing down. The durable version is slower and real. Show up in the threads where your buyers already are, answer the question better than anyone, and disclose who you are. That's a comment AI is happy to cite for years. I was invisible in the exact place AI trusts most. So are you, probably. Go look.
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🎀Victoria Hayes🎀 (@_Vicky0_0_) reportedTechnical debt warning: Many SaaS tools hide latency, memory leaks, and broken integrations behind polished marketing. Check G2/Reddit reviews before buying. The best tech decisions come from understanding failure modes, not launch videos.
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Self-Propelled City (@SlfPropelldCity) reportedWhen I search for X in Apples App Store, the top item in the results is Reddit. X is below that. I write search queries all the time as part of my job so I know this is an intentional error. How is this legal @Apple ? @X
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Tony Rosamilia 🟧 (@SmoothCat) reported@riponthedip @BrianRoemmele The mod issue was always the problem. To be honest, if AI on Reddit was completely limited to being just mods, the platform probably could thrive. If they did that today, there could still be a chance to save what is left.
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XFerginatorX (@XFerginatorX) reported@Jordan456257099 @Sirdooglebeard Its exactly like the PoS sweats who boost in Infection in Halo Infinite then I see them complaining on Twitter or Reddit about the search times but they are the clowns on my list of people who exploit and can't see they are the problem. Like take some accountability.
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xnaiiy (@nallyv9) reported@akechigoro43747 @chenchenleague arent u that guy who cried about palco on reddit because you ragebaited him about Garen ?? ur running down soloq games/act toxic in master NA and dare to say this to chenchen, crazy ngl
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matt knox (@mattknox) reported@lessin I gotta find a Reddit-level etymology nerd to see if it was an error at transfer between languages.
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Genesis Rhapsodos (@GacktRhapsodos) reported@TerryHB_ @asha_shar So you use a reddit thread an unreliable source of information to parrot the problems you have not personally experienced
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Zuki (@zukiweb3) reportedSeen over my feed for the past 2 days; multiple accounts posting it. The dog looks like a cyclops with one eye. I tracked down the original Reddit post from 2 years ago, wild it's only getting popular now. The dog's name is $floof dex at 15k
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jason brown for mayor 🥉 P2 bronze baby! (@fzzt_simmons) reported@chn_nebelhorn the link i had has been taken down but if you check reddit there’s a post with a google download link (which isn’t sketch, i’ve downloaded the whole thing and it’s fine)!
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PALoyalist (@LoyalistPa) reported@Italian347 @SpookSlapper One guy in monarchist Reddit was basically ((though he didn’t directly say so but you could easily tell had a problem with felipe necause leoner is a girl))