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 (50%)
• Sign in (29%)
• Errors (21%)

Live Outage Map

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

City	Problem Type	Report Time
Guayaquil	Errors	2 days ago
Veracruz	Website Down	8 days ago
Bhubaneshwar	Website Down	10 days ago
Melbourne	Sign in	12 days ago
San Nicolás de los Garza	Sign in	15 days ago
Ciudad Obregón	Website Down	16 days ago

Full Outage Map

Community Discussion

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Reddit Issues Reports

Latest outage, problems and issue reports in social media:

• 
  CroissantBread (@LexoManha) reported 5 minutes ago

  @aallqfn I need reddit link they taking down the link

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  Joel Thoms (@joelnet) reported 12 minutes ago

  @TheComicSource ya same thing. i been trying every fix i could find. finally stumbled across a reddit thread from today of others having the same issue.

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  Yume_X (@yume_arasaki) reported 15 minutes ago

  You've been hearing about DFlash2 on Qwen 3.8 27B all week. 134 tok/s on a 3090, 70 on a MacBook, 236 on an H200. All true, all a bit hard to understand... I ran it on my box today to find out what it is and whether it makes sense on yours. It's the biggest clean speed win in local inference right now, with a cost most posts skip: it eats your VRAM headroom, and headroom is context. Map below, run instructions with caveats under it. WHAT IT IS Qwen3.8-27B ships with a speed tool already inside: the native MTP head, trained into the checkpoint. It predicts 7 tokens ahead, the model verifies in one pass. No download, no VRAM, one flag. If you're not using it, turn it on today. DFlash2 is the other kind: a separate 2B draft model (3.85GB, 1.14GB quantized) from z-lab / Inco AI. It drafts an 8-token block in one parallel pass, a selector walks the best path through top-16 candidates per position, your 27B verifies. Greedy output is unchanged, lossless by construction, quality parity on matched suites. One extra accepted token per verify step for ~1% latency. The DFlash family passed 3.5M downloads, SGLang made it the official cookbook recipe Aug 21, vLLM merged it (PR #52816), llama.cpp is PR-only, MLX runs it natively. The difference that matters is where they live: - MTP is inside the model. Free. - DFlash2 is outside. It takes VRAM, draft state, and prefills your prompts too. On a limited-VRAM card, DFlash2 doesn't just add speed. It removes headroom, and headroom is context. A 24GB card at big context: your usable window shrinks. That's the trade nobody's speed posts show. THE MAP Every number attributed. Two are ours. DGX Spark (mine) 👇 Matched suite, same image and checkpoints: MTP 25.62 tok/s single-stream, DFlash2 28.38. The external draft beats the factory head by 11% at identical GSM8K / HumanEval / IFEval scores. At c8 it flips: 92 vs 124 for MTP, the factory head wins under load. 128GB unified: no context squeeze. My run today: 30.4 tok/s steady on code generation (2048-token module, temp 0), accept length ~3.2. Our fleet build-day on this recipe: 45 tok/s on JSON verdicts, 141 aggregate at c8. Content-dependent, see below. RTX 3090, 24GB 👇 Frontier zone. iamMess (Reddit): 134 tok/s claimed, no recipe. TeksEdge: same rig 82 vanilla → 114 MTP → 138 DFlash2. syv-ai tuned stack: ~114 single, ~1,000 aggregate at 64 streams. Receipts thin. Headroom math: Q4 target ~16-17GB + ~1.2GB draft + KV. At 110k context you're at the ceiling. Big context and DFlash2 don't coexist on 24GB. RTX 4090 (mine), 24GB. 👇 The measured row. analogalok: 60 on MTP → 83-87 with DFlash2 (headline said 90, his table said 83-87, plan on the range). 23.96GB of 24 at 110k context. That is the headroom story in one number. Prefill takes a hit too, the draft prefills your prompt. RTX 5090, 32GB. 👇 ~148 tok/s with speculation in roundup data, no clean DFlash2 row published. Headroom is not an issue here with 32GB of vram. Another super win for the 5090 (on top of Minimax H3) Strix Halo, 128GB unified. 👇 MTP builds 24-36 tok/s, real chat 11-24. No DFlash2 row yet. Bandwidth-poor, memory-rich: no VRAM tax, but the bandwidth cost might bite. Watch this lane. Mac, M4 Pro class (mine too). 👇 Paired benchmarks: 4-bit 14.7 → 33.8 tok/s (2.30x, acceptance 5.14), 8-bit 8.4 → 30.5 (3.63x). Best decode on this hardware today. Mac, M5 Max class. 👇 The 70 tok/s claim is credible: the M4 Pro number scaled by ~2x bandwidth. Same machine on llama.cpp GGUF: 16-35. Backend matters as much as silicon. On Mac, MLX is the path (z-lab dflash package or oMLX), block_size 5 or less on quantized targets. llama.cpp mainline doesn't have it yet. 16GB. No. The model alone at Q4 is ~16-17GB. Run the 9B class, different post. 8GB and below. Not this model. Small dense or small-active MoE, or API. THE WORKLOAD COLUMN Same box, same drafter, same day: prose 17-23 tok/s, code 32-40, math 41-44, JSON 45+. Speculation accelerates predictable tokens; your content sets your acceptance rate. A 134 claim and a 20 claim can both be real. A DFlash2 number without a workload attached is not usable. One number is easy to post, that's why that tends to be the content. The way I do it, is I just accept the real speed is somewhere "inbetween" most operations are partly prose, partly structured. WHEN IT MAKES SENSE - Solo, single-stream, code/math/JSON, mid context. One flag, one 4GB download. - 24GB at context under ~32k: fits with room. - Apple Silicon MLX: 2.3-3.6x. - Spark-class memory: no squeeze. WHEN IT DOESN'T - Long context. The killer: one 4x3090 sweep had acceptance 45.7% → 1.1% at 256k, decode 68.9 → 2.6 tok/s with the draft ON. Off is 26x faster. Long agent sessions: bare or MTP-only. - Shared box: MTP wins by c8 (124 vs 92). - Tight VRAM: 23.96/24GB at 110k on a 4090. - Prefill-heavy: one Spark case halved prefill (73 → 38 tok/s). - llama.cpp mainline: not merged. Its n-gram speculation needs no draft model and beat draft-based methods on repetitive code in one community test, DFlash2 isn't the only lever How to Run and Sources in Reply 👇

• 
  Lily Ray 😏 (@lilyraynyc) reported 19 minutes ago

  A few SEO/GEO data providers have shared this week that Reddit citations are collapsing in ChatGPT with the launch of 5.6, and after reading several articles and perspectives about this, I'd like to share my own version of what I think might be happening. First off, I highly recommend reading @suganthan’s newest article on this (link in first comment), in which he explains how ChatGPT’s search behavior appears to have changed with 5.6 - including his finding that Reddit is still heavily retrieved *behind the scenes,* even when it isn’t cited, potentially serving as a validation or sentiment layer for the final answer. Some of his newest findings: ⭐ Reddit showed up heavily in ChatGPT’s retrieval set (84 out of 221 results) but none of those Reddit URLs were cited in the final answer. ⭐ ChatGPT appeared to use Reddit *after selecting brands*, searching for user opinions about them rather than relying on Reddit to discover the brands in the first place. (!) ⭐ ChatGPT searched much further back on Reddit than on many other sources, sometimes using years of historical discussions (assuming his interpretation of the numbers in the query string is correct). I think that part is interesting - as Suganthan mentioned, if ChatGPT is looking for older conversations, those will be less likely to be influenced by the recent influx of spam. What I think might be happening here, and this is *just my own theory* as always: I think OpenAI, perhaps in collaboration with Reddit since they are partners, may be finding ways to continue using Reddit’s valuable information to help formulate responses, such as evaluating brands it has already identified (which Suganthan observed in his article) , while reducing the commercial incentive for brands to spam Reddit conversations. If ChatGPT is still retrieving Reddit heavily but linking to it less often in responses, that suggests OpenAI may recognize that visible citations themselves create an incentive for marketers to manipulate Reddit. Reducing those citations could make Reddit spam feel like a less attractive AI search/marketing strategy, even if Reddit continues to play an important role behind the scenes. I’ve already seen people posting things like, “Well, so much for Reddit. I guess we should focus on optimizing our own company website now.” 👀 (Not gonna lie, I had to laugh when I read that one.) But perhaps that is exactly the intended outcome: reduce the incentive to manipulate Reddit, shift marketers’ priorities elsewhere, and potentially help address the rampant spam problem on the platform. Reddit CEO Steve Huffman has described the company as being in an “arms race” to detect and block AI-generated activity, and Reddit itself recently said that “spam, bot activity, and inauthentic content are top of mind.” (Link to source in 2nd comment) Anyway, just my two cents as always. Curious what others think after reading Suganthan's latest work. 🫠

• 
  𑣲bomi (@smellyacid) reported 20 minutes ago

  @shallow_angels RIGHT They just hate to see a weird girl living life gosh ;-; anyways i have one of the new iphones unfortunately so i think its just the actual app that broke down 😔 i looked on reddit and am people were saying the same thing and it only got back a month later by itself smh

• 
  🪖| Fern (@youngsandw1tch) reported 21 minutes ago

  I’m genuinely scared my cat has a health issue and I posted on Reddit abt it and everyone’s just commenting stupid jokes I’m so ******* annoyed 😭

• 
  Alyssa (@Alykkat) reported 22 minutes ago

  Ever reflect on paths you didn't end up going down & realizing how incredibly lucky you are that you didn't? A two years ago, I made it to the final round for a role at Reddit to be the community manager for reddit mods. Cause can you imagine what my life would be like today if I got that job? 🙈

• 
  Gill from Creator Hooks (@creatorhooksgil) reported 26 minutes ago

  Your best title words already exist. You just haven't collected them yet. Steal from: • Your comments — the exact phrasing your audience uses to describe their problem • Reddit threads in your niche — read the question titles, not the answers • Google autocomplete — type your topic and stop typing • Your top 5 videos — the words that show up twice aren't a coincidence • Competitor titles from 12+ months ago — the ones still getting views • Book and course titles — someone paid a marketing team to write those • Tabloid headlines — you don't need the topic, you need the verb Keep a running list. Write titles from the list, not from scratch.

• 
  kenneth (@local0ptimist) reported 27 minutes ago

  @alexisohanian just shut it down alexis. the world doesn’t need reddit anymore. we’ve outgrown it. now it needs to be purged

• 
  Crystal_Cartoon (@crystal_cartoon) reported 27 minutes ago

  I noticed the storyline started getting really bad from episode 2.1 onwards, and I was furious that Kuro gave Phoebe, who seemed to have the most potential for development, so little backstory. And then there's the 2.1 PV; I thought we'd get to see Phoebe adventure with Brant, but he only appeared briefly at the end of the event. Phoebe deserves more spotlight. She's a member of the Church, or The Order (whatever it is), a believer in the Sentinels, but her faith isn't clouded by the Order's teachings. She has the ability to understand Echo, but they tell her to stay away from her. However, when her friends are in danger, she doesn't hesitate to help them, even if it goes against the Order's teachings. Plus, she's interested in adventure and archaeology. I thought in Event 2.1 we'd get to adventure with Phoebe and Brant in a mysterious underwater archaeological site, where only Phoebe could read ancient languages and solve puzzles, while Brant used his adventurous wit to overcome crises together. But Kuro didn't do **** anything at all. And then there's Fenrico. Phoebe should have encountered Fenrico after he turned to the dark side, and that would have been a test of her faith, allowing her to trust her own path. But this game has absolutely no character development. Everyone seems like just decorations for the Rover. Then there's Ciaccona and Cristoforo, two poets who view the stories of people differently. I really like their interactions. But ultimately, everything comes down to the Rover. I found one comment on Reddit hilarious, saying that if this were Genshin Impact, there'd be tons of Cristoforo x Ciaccona fan art by now. lol The problem is, Kuro never lets characters interact with other characters; everything revolves around Rover. Then, in the Suisui and Jingran storylines, those losers cause a lot of problems for the community.

• 
  Hari Veeraprakash (@hariveera) reported 29 minutes ago

  Contd.. Is this what customer service looks like at the Rivian Service center in Hayward. A car that is less than a year and has suspension compressor issues. lots of discussion on reddit. This issue needs to be in the recall session. #RivianR2 @Rivian #r1s.

• 
  Felon Shucks (@BrokenXMonitor) reported 30 minutes ago

  @Reddit whatever ai you're using for moderation is randomly banning normal accounts and the situation is insane rn. Ffs fix thid problem.

• 
  Sumit Ghosh (@sumitgh85) reported 33 minutes ago

  @ShahRathin Manually or using some automation software ? Reddit is really good at catching automated software , we always get account bans and all work goes down the drain whenever we tried Reddit. Sometimes even accounts managed fully manually get wiped out, am sure many here are facing same issue.

• 
  Cerebrum123 (@Cerebrum1233) reported 34 minutes ago

  @GHNeoluce @yosutebitoo That's already a problem as is. The only way to fix it is by giving it better sources to pull information from. Right now, it uses Wikipedia, Reddit, and a bunch of other terrible sources.

• 
  Ro (@scrubabomber) reported 34 minutes ago

  Permanently banned on Reddit for saying ‘the UK has a **** culture problem and the vast majority of the culprits are white British men’

• 
  Brady Madden (@bmadden12) reported 35 minutes ago

  ChatGPT citations of Reddit just dropped 86% If Reddit comments were your AI search strategy... RIP 🪦 New data from Promptwatch shows Reddit went from roughly 4% of all ChatGPT Search citations [one of the largest shares of ANY domain] to about half a percent. In a single day. Color me shocked. People have been spamming Reddit for years. It got worse the moment word spread that Reddit mentions could land you in ChatGPT answers. Well, the platforms noticed. They always do. Reddit comments should NEVER have been anyone's whole strategy. A small piece at most. Any tactic built entirely on a loophole always gets discovered. All of this said, HELPFUL Reddit comments still have real value: 🌲 They genuinely help the person asking [novel concept, I know] 🌲 They show off actual expertise where your buyers hang out 🌲 Reddit threads still rank in high-value Google SERPs for searches potential customers make 🌲 They build brand recognition the slow, durable way The difference is intent: Comment to help, and you'll typically get upvotes and increase your chances of more visibility. Comment to manipulate, and get banned or called out by Reddit users. Worth noting: the drop could partly reflect how the data was collected, and citation patterns shift constantly. Which kind of proves the point... chasing any single citation source is chasing a moving target. The playbook that survives every shake-up like this: Be genuinely useful everywhere your potential customers are. Own your visibility through your website, your content, and your brand. If your visibility can vanish in one day, it was never yours. Build on ground you own. 🌲🌲🌲 #SEO #AISearch

• 
  Tommy L (@tommyleed8888) reported 35 minutes ago

  @bjmtweets Reddit is poorly designed and has terrible navigation. I never understood the fascination with it

• 
  M. M. (@McSkiin) reported 35 minutes ago

  @spikesguides They shut down the sub entirely. I mean, what more can they do. Not defending Reddit bc it sucks ***. But really, why could they do?

• 
  Heady Creek Research (@Heady_Creek) reported 36 minutes ago

  Earlier this week, a memo from a call regarding $RDDT and Google, alongside a PromptWatch note showing a sharp decline in Reddit’s share of ChatGPT citations, contributed to renewed concerns around Reddit’s AI-data opportunity and a sell-off in $RDDT. We analyzed both and came away with a somewhat unexpected conclusion: the developments may be more relevant to $YELP than they initially appear—and potentially strengthen the argument that Yelp’s AI opportunity is structurally different from Reddit’s. The central argument from the former Google executive was that Reddit originally solved an acute problem for LLMs: models were stale, hallucinated frequently, and lacked access to current human conversation. Reddit offered a massive, continuously refreshed corpus at a time when few alternatives were available. But that scarcity may be diminishing. Google can increasingly ground Gemini using Search, YouTube, News, Merchant Center and Places. PromptWatch’s recent data—showing Reddit’s visible share of ChatGPT citations falling sharply—doesn’t prove Reddit data is no longer being used, but demonstrates how quickly LLM retrieval architecture can change. That raises an important question: is owning valuable content enough, or is the more defensible asset owning proprietary data closer to the transaction? This is where $YELP gets interesting. One of the most important observations from the Google call was that Reddit sits in the middle of a considered purchase journey but has nothing to sell at the end of it. Someone researches a bicycle on Reddit, receives great human advice, and ultimately buys it somewhere else. Compare that with Yelp: Intent → Yelp data → recommendation → Request-a-Quote/reservation → merchant → conversion. And after Yelp’s $300M acquisition of Hatch: Intent → recommendation → lead → merchant response → appointment → conversion. This increasingly resembles a local-commerce data graph, rather than simply a review website. The Google executive specifically highlighted Merchant Center and Places as important advantages Google possesses that OpenAI doesn’t. That’s particularly interesting because Yelp has spent 20 years building a narrower version of this infrastructure in local commerce: 10M+ U.S. businesses, hundreds of millions of reviews, ratings, photos, attributes and enormous amounts of local commercial-intent data. And Yelp’s OpenAI relationship has already moved beyond licensing reviews. Management recently described integrations spanning business pages, local search, restaurant reservations and Request-a-Quote. This also brings us back to our comparison with $PINS five years ago. Pinterest’s value wasn’t merely its content; it was the intent embedded within that content. Pinterest: “I’m thinking about renovating my kitchen.” Reddit: “Which countertops do people recommend?” Yelp: “Find me a highly rated kitchen contractor near me.” Hatch: “Did that contractor respond and convert the lead?” That final layer may prove particularly valuable. Yelp could potentially know not only what consumers want and which businesses they select, but which merchants actually respond and convert those leads. This is why we’re increasingly moving away from valuing Yelp’s AI opportunity simply as X billion LLM queries × some licensing fee per query. Historical review licensing is valuable, but potentially commoditizable. Local business grounding + commercial intent + actions + outcome data may be much harder to replace. So perhaps the developing distinction is: $RDDT: AI needs our content. $YELP: AI needs our content + business entities + reputation + commercial intent + merchant connectivity + actions + potentially outcomes. The most interesting conclusion from this week’s Reddit controversy may therefore be that the scarce asset in AI isn’t necessarily content itself. It’s proprietary data connecting human intent to real-world commercial outcomes.

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  Kai Voss (@kaivosss) reported 41 minutes ago

  most people don't believe me when i say slowing down after a reddit removal does nothing for the account, but it really is one of my accounts hit a 48% removal rate. i used to cool it down every time a post got pulled, thought that was protecting it stopped doing that completely. just kept ramping volume like normal that same account is now sitting at an 8% removal rate and still posting daily the accounts that survive arent the ones you baby, theyre the ones you just keep feeding

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  Ushatka (@TheUshatka) reported 42 minutes ago

  Not being able to find cool places to eat is like entirely a skill issue in most cities btw. Stop promoting self pity and infantilism purely because you’re too lazy to open a Reddit thread.

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  Yolo (@yolomargin) reported 43 minutes ago

  Found some crazy comparison chart related to $POIPOI based on the old $JELLYBEAN run up to nearly 10m The first ATH peaked around 500k, similar to Poipoi - then it trickled down all the way down to just under 50k which is close to the retrace we're seeing now After that it got a God candle straight to 8m Hear me out, since the launch ALL of these things have been accomplished: -The dev created merch -Printed stickers around Portugal -Created a Reddit form -Continues to livestream -In contact with the zoo caretaker -Created a whale chat -Grew the community to over 500 holders The point is... Nothing significant has changed and fundamentally the project has just gotten better in every regard I do truly believe that green ***** is coming soon boys 7z8Q8E4dpequE3XcxoXrpiCPiw1yVHZ7cY8EwT7Tpump

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  d1nz.3 (@Dinesh78039466) reported 51 minutes ago

  @rahulpandey187 the 15 day push is the rt call, day 16 is where it died for me tho. I'd fix the weekly publish number now - one u can still hit after the sprint ends. n go where the q gets asked, not just where ppl are. reddit n quora answers kept pulling for months, my timeline posts didnt

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  Shiny Gen Wizard (@davidpwalter) reported 52 minutes ago

  @WSliboo I've posted to the godot sub reddit and discord multiple times and either got my posts rejected or got attacked by several people getting mad at me for using AI. I wasn't doing anything provocative. So they do have a problem with me.

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  sheriff taylor (@NotAndyTaylor) reported 54 minutes ago

  @charlieINTEL Played 20 minutes and deleted. Just your standard issue call of duty. ****** *** teams. Faggy Reddit kids jumping and sliding thinking they are movement gods because their favorite faggy streamer does it. Looks like a slightly better MW 2019 so I’ll give it that

• 
  Rowan Cheung (@rowancheung) reported 55 minutes ago

  Who's solving the Dead Internet problem? Most of the world already can't tell when video or images are AI-generated... a fake Reddit review thread is even harder. Slop is still somewhat obvious to the terminally online, but open Facebook for 5 minutes and see how non-obvious it already is for regular people.

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  Kenny Workman (@kenbwork) reported 58 minutes ago

  The second Google result for Latch is a Reddit thread focused on the final three bullets of a Substack post I wrote in 2022. At the time, we were a team of ~7 young engineers working from a small office. We thought it was better to be transparent about our work constraints than to mislead candidates. These days, I read that post and think it is incredibly cringe, but such are the growing pains of building in public as a young founder. The internet immortalizes your words, and past snapshots of your thinking can persist despite personal and company growth. As we’ve grown, we’ve adopted a much more flexible work culture and dropped the six-day requirement years ago, allowing us to welcome eg. talented people with families. We’ve learned a lot about building a company and leading a team since those early upstart days. Separate from the negative sentiment in the original thread - people can say what they want - the outdated information was genuinely confusing candidates. Someone on our team hired a firm to help surface more current information in Google searches. That firm decided it would be a good idea to message the Reddit moderators with a frankly strange and Orwellian request. I think this was stupid. We had no idea they were going to do this, but we hired the firm, so ultimately that is on us. I’m increasingly eager to engage with people honestly and clear up confusion like this. I don’t really mind the “Streisand effect.” It is only a problem if you have something to hide, and I care quite a bit that people understand how I and Latch actually think today. There is a lot of understandable cynicism in biotech right now, and venture-backed companies attract plenty of skepticism - sometimes deservedly. Ultimately, people can draw their own conclusions about whom they want to work with based on what those groups ship, the quality of their thinking, and how they actually treat people.

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  Rashi Umapathi (@rashiumapathi) reported 58 minutes ago

  Every belief you have about Reddit for SaaS is costing you pipeline. As someone who has run Reddit distribution for bootstrapped founders here are the ones I see all of the time. Belief 1: Reddit hates marketing. Reddit’s anti-marketing stance - native, specific, account-driven content gets upvoted / traffic. Promotion efforts = removed. Belief 2: I Need A Big Personal Brand First One client hit 1.2K website views and Reddit as #1 referral source with almost no prior presence. Composition beats size. Belief 3: I’ll just post once to test it out. A single post is noise. The consistent placement on all of your comparison/ problem/ education threads that compound is what makes you effective. Belief 4: My niche isn’t on Reddit. Anybody who says to me that their buyers complain about tools or ask "has anybody used x?" are there. Belief 5: I can just drop my link. The fastest way you can get banned. First your contribution. Second soft presence (and tracked links). Belief 6: Reddit doesn’t convert. It converted product validation & real users for one of my client (427K views | $0 ad spend) These beliefs are walls. Drop them and the channel starts working.

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  NewsTongue (@NewsTongueX) reported 1 hour ago

  🔴 Coles website crashes after viral post exposes 80% discount glitch on alcohol Coles' website and app went offline Saturday after a Reddit post highlighted a pricing error that discounted 24-packs of premixed drinks and beer by up to 80%. A 24-pack of Jack Daniel's & Cola marked at $27 instead of $130 prompted over 180,000 views. CW Scanner identified at least 20 beer cartons and 46 cases of premixed drinks affected, with the largest discount on Smirnoff Crush Mango & Peach—a $173 saving, down to $29 from $202.

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  The Agentic Operator (@AgenticOperator) reported 1 hour ago

  @glenngabe lines up with suganthan's finding. reddit isn't blocked.... chatgpt just stopped crediting it. still reads it, still uses it for research, just doesn't cite it anymore. 84 threads read, zero cited. everyone assumed it was blocked. it's just uncredited. different problem entirely.