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 (45%)
• Errors (31%)
• Sign in (24%)

Live Outage Map

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

City	Problem Type	Report Time
Patna	Errors	8 days ago
Monclova	Sign in	9 days ago
Nice	Errors	10 days ago
Guayaquil	Errors	19 days ago
Veracruz	Website Down	25 days ago
Bhubaneshwar	Website Down	28 days ago

Full Outage Map

Community Discussion

Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.

Beware of "support numbers" or "recovery" accounts that might be posted below. Make sure to report and downvote those comments. Avoid posting your personal information.

Reddit Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Mike Sulka (@SulkaMike) reported 6 minutes ago

  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.

• 
  sandiek is in the skiiiieeesssss (@sandiek) reported 9 minutes ago

  Sigh **** @Reddit for making the only bearable way to access that site login only.

• 
  Valkurung (@valkurung) reported 9 minutes ago

  @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.

• 
  Justinas Rolando (@JustinasRoland0) reported 10 minutes ago

  Been testing Claude Fable 5.1 for Google Ads and gotta say it's cracked... The research, reasoning, and data analysis capabilities literally 10x'd. So here's a 10-stage AI workflow to automate 80% of it: (Literally every prompt you'll need. Save this) Stage 0: Build the project brain Before asking for anything, create a Claude Project and feed it everything. - Product pages - Best sellers - Customer reviews - Objection docs - Competitor URLs - Meta ads - Google Ads Transparency Center links - Search terms reports - Winning ad copy - Offer details - Brand guidelines - Past landing pages - Performance exports Then run this prompt “Act as the Google Ads strategy brain for this brand. Read all uploaded context and create a working brand profile covering: ICP, core pain points, buying triggers, objections, emotional language customers use, top products, strongest offers, competitor positioning, current funnel gaps, and Google Ads opportunities. Do not make recommendations yet. First summarise the context and ask me what is missing.” The quality of the outputs you’ll get from this AI workflow will directly correlate with the quality of the context you give it here. And also the quality of the Claude model you use, since newer models have more context tokens and better reasoning skills. Stage 1: Customer language mining “Search Reddit, YouTube comments, Amazon reviews, TikTok comments, and niche forums for people discussing problems related to [PRODUCT CATEGORY]. Extract the exact words they use when describing the problem, what they have tried, why those solutions failed, what outcome they want, and what would make them buy. Format this as: Quote / Pain Point / Desired Outcome / Funnel Stage / Possible Ad Angle.” This gives you the language that keyword tools would never show you. If someone writes: “I’m tired of wasting money on supplements that do nothing.” That can be a winning ad angle right there. Stage 2: Competitor angle map “Research these competitors: [COMPETITOR 1], [COMPETITOR 2], [COMPETITOR 3]. Use Google Ads Transparency Center, Meta Ad Library, their landing pages, product pages, offers, guarantees, reviews, and email capture flows. Build a table showing: offer, main promise, ad hooks, landing page angle, proof used, objections handled, pricing position, and what they are NOT saying.” Then run: “Based on this competitor research, identify the 5 most validated market angles and the 5 biggest white-space angles we can own. For each angle, explain which funnel stage it belongs to and what campaign type should test it first.” If 3 competitors are all running the same hook, that angle is validated. You don’t even need to be original. Just add your unique spin to what’s already working. Stage 3: Keyword research “Using the customer language, competitor research, product pages, and search intent data, build a full Google Ads keyword universe for [BRAND]. Split it into: branded, competitor, high-intent product, problem-aware, solution-aware, comparison, ingredient/material, use-case, gift/occasion, and negative keywords. For each keyword, include funnel stage, intent level, match type, campaign/ad group recommendation, and landing page angle.” Then run: “Now prioritise this keyword research report into a 30-day launch plan. Separate must-launch keywords from phase 2 tests. Flag any keywords that are high volume but low commercial intent.” This stops the campaign from becoming a messy keyword dump. Stage 4: Campaign architecture “Turn the finalized keyword research report into a complete Google Ads account structure. Include campaign names, ad group names, keyword match types, bidding strategy, starting budget split, exclusions, negative keyword rules, and when each campaign should launch. Use this structure: branded search, branded shopping, non-branded shopping, non-branded search, competitor search, PMax remarketing with brand exclusions, display remarketing, Demand Gen, and TOF search tests.” Then add: “Explain why each campaign exists, what signal it is meant to produce, and what metric decides whether it scales, holds, or gets cut.” Every campaign needs to play a role in your ecosystem. If it doesn’t, you should just stop running it. Stage 5: RSA copy production “Write responsive search ad copy for [PRODUCT] targeting [KEYWORD]. Funnel stage: [BOF/MOF/TOF]. Use the customer language and competitor gap analysis above. Give me 15 headlines under 30 characters and 4 descriptions under 90 characters. Include: benefit-led headlines, problem-led headlines, proof-led headlines, offer-led headlines, and urgency-led headlines. Make sure headline 1 matches the search intent.” Then run: “Create 3 ad variations for this keyword: one direct-response version, one proof-heavy version, and one problem-agitation version. Explain which audience each variation is for.” BOF copy should sound like the product is the obvious answer. MOF copy should make the benefit feel believable. TOF copy should make the problem impossible to ignore. Stage 6: Merchant Center feed optimization “Rewrite this product title for Google Shopping using the structure: Brand + Product Type + Core Keyword + Key Feature + Use Case/Benefit. Stay under 150 characters. Give me 10 variations ranked by likely search intent.” Then: “Write a Merchant Center description for [PRODUCT]. Use up to 5,000 characters. Include all relevant buyer keywords naturally, cover features, benefits, use cases, materials/ingredients, sizing/specs, objections, and reasons to choose this product. Do not include irrelevant keywords or products we do not sell.” Then: “Audit this product feed for missed Google Shopping opportunities. Check title, description, product type, Google product category, images, variants, pricing, promotions, shipping, reviews, and attributes. Tell me exactly what to change.” Stage 7: Landing page angles “Build a landing page brief for [PRODUCT] targeting people searching [KEYWORD]. Awareness stage: [PROBLEM-AWARE/SOLUTION-AWARE/PRODUCT-AWARE]. Structure it as: hero headline, subheadline, proof bar, problem section using customer language, mechanism section, product section, comparison section, reviews, objection handling, FAQ, CTA. Make sure the first screen matches the search query.” Then run: “Create 5 landing page angle variations for this product based on different search intents. For each one, give me the hero, core promise, proof required, objections to handle, and CTA.” Send the best one into Claude Code. Now you have an intent-specific page created instead of 1 generic PDP trying to convert everyone. Stage 8: Creative production Connect Higgsfield MCP inside Claude. Then run: “Create a 9-shot YouTube ad concept for [PRODUCT] based on this angle: [ANGLE]. Style can be claymation / UGC / cinematic product demo. For each shot, include scene description, voiceover, on-screen text. Use GPT Images 2.0 for the statics.” Then: “Create 5 new creative concepts from the strongest customer pain points in the research. Each concept should include hook, visual metaphor, script, image prompts, animation prompts, and CTA.” If you wanna run video ads, animate your statics with Seedance 2.5 Use Fable to write the scripts. Shouldn’t cost more than $3 per ad. Stage 9: Daily campaign audit Connect Google Ads MCP (or just export report CSV) Then run: “Pull the last 7 days of Google Ads performance and compare it to the previous 7 days. For each campaign show spend, revenue, ROAS, conversions, CPA, CPC, CTR, impression share, search lost IS rank, search lost IS budget, and top search terms. Flag: ROAS down 20%+, CPA up 20%+, budget-limited winners, rank-limited campaigns, branded leakage in non-branded campaigns, wasted spend queries, and products spending with no conversions.” Next up: “Turn this audit into an action list. For each action, include the campaign, issue, evidence, recommended change, risk level, and expected impact.” Stage 10: Weekly scaling plan “Compare performance across 7, 14, and 30-day windows. Identify campaigns, products, keywords, ads, and landing pages with consistent green signals. Recommend which budgets to increase by 15-20%, which to hold, which to decrease, and which tests to launch next. Do not recommend scaling anything unless the signal is consistent across multiple windows.” Then: “Create next week’s testing roadmap. Include 3 keyword tests, 3 creative tests, 2 landing page tests, 2 feed tests, and 1 campaign structure test. Rank them by expected impact and implementation difficulty.” And this is how you get your full ecosystem set up: - Research feeds keywords - Keywords feed campaigns - Campaign data feeds landing pages - Landing pages feed creative - Creative feeds new angles - Audits feed the next week of tests If you want me to build this full AI Google Ads production system for your brand btw, DM me “FABLE” and I’ll show you what it’d look like

• 
  Let 📖: the raven scholar (@f1reheartt) reported 14 minutes ago

  @LilyRosey79580 yeah… lol I actually saw two people on reddit who had the same problem as me, but they were luckier, since theirs went back to normal. I think the best would be to do regular backups

• 
  Anglo-Distributist 🇻🇦 (@Catholic_Briton) reported 15 minutes ago

  @CrewkerneMan Argue like you're left-wing 1. Pretend not to understand the point, no matter how obvious 2. Make your opponent waste time explaining obvious things so they can't move on 3. Equivocate, equivocate, equivocate 4. Make a reddit-tier gotcha & sit down like you won the argument

• 
  David G Quaid (SEO) (@DavidGQuaid) reported 16 minutes ago

  @NomadicBackpac1 so everyone likes to pile on with... So is a dead server - but you never see "having a live server" is good for SEO. There's a line - if it doesnt help SEO - then its not "optimizing" Fixing a page that used to rank by taking "draft mode" off - isn't SEO. It doesnt take an IQ of 145 to figure this out? Go look at the top ranking sites for many high CPC categories and show me they're all the fastest. They're not - many of them fail the CWV test - as many people point out on Reddit.... Saying Google punishes slow sites is cyclical for "I ran out of SEO ideas"

• 
  Akari Rini 🌐⭐ (@akaririnii) reported 17 minutes ago

  @Necromel211736 i aspire to be as tech savvy as you one day!! random reddit tech problem forums are my savior

• 
  liquidated (Dev Arc) (@liquidated0x) reported 19 minutes ago

  @pfernan95dev distribution is your whole bottleneck fr. most agencies are just dashboards with extra steps been down this road, the agents that can push reddit and seo content without a dashboard barely exist yet. you might be onto something

• 
  rami (@Pelotudooo0) reported 19 minutes ago

  @MurfyCurfyFART reddit is down the hall ***

• 
  James Altucher (@jaltucher) reported 20 minutes ago

  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

• 
  Nehkog Grips (@h03gap) reported 23 minutes ago

  @kepilar77 Now you deny it. That's something you Protestant atheists say when you're not exposing problems in the Bible. My definition is better; your definition is Reddit.

• 
  सम्यक সম্যক (@samyak128) reported 28 minutes ago

  All Indian discourse is a mimicry of American discourse from 10-15 years ago. This means we are now in the era of cringe Reddit adolescent atheism, which is basically people in their 20s projecting their issues against their parents through the internet. But since this is India, there will be no original thought, only mimicry. We even mimic the cringe. We can expect an Indian version of the Aalewis Reddit from an Indian "professional quote maker" sometime soon

• 
  SHRIMPMONEYCAPITAL (@SHRIMPMONEYCAP) reported 28 minutes ago

  @LegalYookay on reddit the problem is "men"

• 
  Zakuza (@TheZakuza) reported 30 minutes ago

  @ChrisMurphyCT Did you forget to login into your reddit account ? you forgot to add "and everyone clapped" at the end

• 
  Ifunanya from TechOps (@TheIfunanya) reported 30 minutes ago

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

• 
  Laqpiku (@laqpiku) reported 32 minutes ago

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

• 
  ☦️🇦🇺 (@AngloOrthodox22) reported 36 minutes ago

  @kylantisfeniks0 Reddit is down the hall and to the left

• 
  VibeDraft (@vibedraft_app) reported 38 minutes ago

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

• 
  Monter (@buildwithgoks) reported 42 minutes ago

  @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?

• 
  Jim Reaper (@the_Jimreaper) reported 45 minutes ago

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

• 
  XEGAN (@xegan271) reported 45 minutes ago

  Life's so good right now that solution to all my problems are on reddit.

• 
  akin.korpe (@akinkep) reported 46 minutes ago

  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.

• 
  Prakrit (@Misarwaprak) reported 46 minutes ago

  @HVSBanwait I said what I observed across x insta,reddit, many jatt Sikhs are rattled not bcse someone won there is a central theme in their issue with this election. They simply can't accept a hindu winning there. For them everything associated with punjab is sikh especially jatt Sikhs.

• 
  Como que se antoja un asadito en gorditas apoco no (@AsaditoRojo) reported 46 minutes ago

  @duckyIsaDuck Few years ago I was feeling bad about it and then I went to a small **** reddit to see how others handled it and then I realized I was larping about having size issues. I felt better about my powerful six inches lol. Jokes aside, just learn how to properly use your hands guys.

• 
  Baroque Naturalist 🫒 (@baroquerational) reported 49 minutes ago

  @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.

• 
  Johnny (@houndofhircine) reported 52 minutes ago

  @frozenaesthetic Can you buy Reddit too and shut it down?

• 
  Damp (@DampDEV) reported 53 minutes ago

  @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

• 
  cinnamon apple (@_______bbyg) reported 1 hour ago

  I miss the days when @Reddit didn’t force you to down load the app while you’re using Reddit in the internet browser 🙄

• 
  AdamOFK (@adamofk_) reported 1 hour ago

  If you're using Reddit for SaaS growth, don't search only for your product category. Search for the problem people have before they know which product they need. “Looking for an alternative” “Anyone using…” “How do you handle…” Those conversations are much closer to buying intent.