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 (43%)
• Errors (30%)
• Sign in (27%)

Live Outage Map

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

City	Problem Type	Report Time
Patna	Errors	3 days ago
Monclova	Sign in	4 days ago
Nice	Errors	5 days ago
Guayaquil	Errors	15 days ago
Veracruz	Website Down	21 days ago
Bhubaneshwar	Website Down	23 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:

• 
  Alexander 'Lex' Williams (@squidlord) reported 5 minutes ago

  @Ochadoji999 The process of online fragmentation is a long-standing problem. We used to have Usenet as the big conversational space and individual IRC channels on some of the larger servers as the ephemeral chat places, and it worked pretty well. Quite frankly, you can run an IRC server on a potato. They can talk to one another in a sort of federated mesh if you want. We had that technology figured out and nailed down. But then came the introduction of walled garden solutions. At least AIM and ICQ used open protocols so other people could make clients that interfaced with them, and you could still talk to your friends using them no matter what client you used. Then came Facebook and Myspace and the wave of early "social media" platforms, which slowly and surely began choking off access to general cross-system information. Reddit, for quite a long time, was a very big anomaly because as long as you spoke its API, it didn't care. Which is why so much of Reddit data made it into training information for various systems. Then Discord servers became very much the norm, which combined even more fragmentary, isolated groups into their own server silo, but within the same platform ecosystem. It was and remains great technology, but the way that it has affected the culture of online communities is somewhat of a problem in my view. It creates a feeling for and desire for insularity. Plus, it focuses on ephemeral conversation rather than long-term stored communication like you find on forums and Usenet and various other places where people have more nuanced conversations. If you think all your ideas deserve to have the lifespan of a mayfly, then I guess it's great, but I don't like it very much. In fairness, there never was a VTuber community. That's the wrong word to use for it. There was a "people who did VTubing and the people who were into watching VTubing." Those people didn't necessarily have many things in common, and they still don't. It is an identity group and not a community. Which sums up so much of what's wrong with it as a whole.

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  TravHogan (@travhogan) reported 7 minutes ago

  @mircea_sandu @Shpigford @1Password Which sites is this happening on for you? We're currently tweaking sites for sites that have a lot of 3rd-party sign in buttons present across pages like X and reddit. Wondering your issue is on one of those.

• 
  FINTECH.TV (@FINTECHTVglobal) reported 8 minutes ago

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

• 
  Dice (@builtbydice) reported 8 minutes ago

  @adamofk_ this is what most people get wrong with reddit. the best posts are usually about the problem and that’s how it should be

• 
  BLACK DUMPLING™ (@BlackDumpling) reported 10 minutes ago

  It 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.

• 
  cinnamon apple (@_______bbyg) reported 11 minutes 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 🙄

• 
  James In Beta (@JamesJames518) reported 11 minutes ago

  RedditMaster Karma Mode actually wasn’t something I originally planned to build. But after talking to RedditMaster users, I kept hearing the same problem: new Reddit accounts often can’t post where they want, and it gets frustrating fast. A lot of people end up buying accounts, but purchased accounts can be risky and get banned easily. The other option is using an agency’s accounts, but then all the traffic goes to accounts you don’t own, and the quality can be inconsistent. So the safest long-term approach is still to grow your own account organically. That’s what RedditMaster’s Karma Mode is built for. Our users typically reach around 1,000 karma in about 90 days. I am really proud about what we achieved.

• 
  Elle's Tenacious Library 🧬🔬 (@DefAMustRead) reported 12 minutes ago

  @SirWins67879341 @crochet_mom314 @thepeaklady I often describe women as falling into one of three categories - TikTok, Twitter, and Reddit. You want a reddit (although I haven't been there in about a year; I hope it's not now terrible like everything else)

• 
  Amin (@eCom_Amin) reported 13 minutes ago

  fable 5.1 is insanely CRACKED at finding winning google ads angles to scale your brand past $1m/mo research skills jumped from 24.7% to 52.6% 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"

• 
  Zakuza (@TheZakuza) reported 19 minutes ago

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

• 
  ☦️🇦🇺 (@AngloOrthodox22) reported 21 minutes ago

  @kylantisfeniks0 Reddit is down the hall and to the left

• 
  ^ (@Oct27_x) reported 22 minutes ago

  @Ntr1166177 *Typo error ( Reddit rumours are true )

• 
  VibeDraft (@vibedraft_app) reported 23 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.

• 
  FloweyPilled ⚢ 🦴🌼 (@NyehctarYuri) reported 26 minutes ago

  reddit you are my last hope please dont let me down

• 
  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

• 
  graphtheory (@graphtheory) reported 29 minutes ago

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

• 
  Jim Reaper (@the_Jimreaper) reported 30 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.

• 
  SHRIMPMONEYCAPITAL (@SHRIMPMONEYCAP) reported 31 minutes ago

  @LegalYookay on reddit the problem is "men" but never the culture where they're from

• 
  Anthony Stephen Mendes (@anthonysmendes) reported 40 minutes ago

  Tips for new Framer creators & developers: Method A: Search on X, Facebook, LinkedIn, Reddit, etc for these terms without quotes- “Looking for, framer” “Hiring, framer” “Need, framer” Set to latest and check the posts within 24 hours. These will give you high intent posts from people who need Framer developers. Method B: If you want to focus on templates, check for posts from creators where they have made a sale. Even better if they’ve included a screenshot. Check the template, see what they’re doing differently, see how new it is to the marketplace. The goal is not to copy. The goal is to understand the following: - How consistent they are with naming assets and layers. - What makes their templates different. - How far do they go to provide value: prompts, video tutorials, documentation, etc Method C: If your goal is to build a portfolio then it’s best to offer pro bono work/free work for brands. Use them under specific guidelines: - Business under 3 years old. - Business never had a Framer website. - Right to share in portfolio/case study. Here you can also make commissions from your remix link/project transfer. Method D: Small time edits on existing Framer websites. Sometimes businesses do this: - Get a template. - Edit and publish it. The edits bring errors that lead to issues in responsiveness & text clipping or asset issues. Offer a small fee to fix it after they add you as an editor. Won’t bring money you’d expect but builds trust.

• 
  Lekhansh Ojha (@lekhanshojha12) reported 44 minutes ago

  “Claude Code writes my code. Why can’t it do my marketing?” I spend ~3 hours a day on Reddit. Not building. Not shipping. Scrolling. Hunting for the one post where someone describes my product’s exact pain. Writing comments that sound helpful instead of like an ad. Digging through profiles to find people who might actually buy. Then rewriting the same message 40 ways so it doesn’t feel copy-pasted. Most days I find the wrong post, DM the wrong person, and ship nothing. So I started building an MCP that hands the whole loop to Claude Code, finds the posts, drafts comments in my voice, builds the lead list, writes the outreach. Marketing runs while I go back to building and fix bugs. Would you use this, and what breaks first? Let’s talk in the comments. If you want in, drop “interested” and I’ll put you on the beta tester list.

• 
  Damp (@DampDEV) reported 44 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

• 
  Bread Goblin (@BriocheGenie) reported 49 minutes ago

  @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

• 
  Kittelcattel (@cgeebeehee37704) reported 53 minutes ago

  @nancytsidley @StephanieSidley Poor Farchie. I distinctly remember the Reddit sources when he was tiny and they were gallivanting all over the world at the same time (something not even the most actual successful parents with actual jobs do) saying both kids have behavioural issues. Mostly Archie.

• 
  BLACC (@BLACCGYE) reported 54 minutes ago

  @SydusArtsLinks Reddit has a problem with people thinking their personal interests and dislikes are law and everyone should agree with them. It’s pure entitlement

• 
  RicciTeTroll (@trolltom02) reported 57 minutes ago

  I feel something this morning, just left a thesis on FOMO under @snoofi_RH 's $snoofi reddit stock coin pair. "ok listen, I am desperately trying to find the reddit stock pairs that could run. So far I have narrowed it down to 2: snoofi, the literal logo of reddit (and a token that got massive bid back in the days) and chud on long, which is something redditors can definitely resonate with"

• 
  Anglo-Distributist 🇻🇦 (@Catholic_Briton) reported 58 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

• 
  Ben H (@benh_mecfs) reported 1 hour ago

  @Z3R0Gravitas @JackHadfield14 @Gmwetz Do you mean 1/4-1/3 on the PWM reddit are chronically ill? Apologies if I have misinterpreted that. So yes, that’s when I noticed PWM being an issue, but my severity had become massively worse. I had to have a PWM-free LCD. Interesting the IPS had PWM. They’re usually my go-to!

• 
  Treigua (@Treigua) reported 1 hour ago

  @Amank1412 I’d separate audience from intent. X is weak when the $20 plan appears under generic build-in-public posts; Reddit converts because buyers arrive inside a problem-specific thread. The channel matters less than whether the post captures active pain.

• 
  Sanjay Singh (@HeySanjaySingh) reported 1 hour ago

  Any Reddit experts here? I comment, and they delete it because I don't have enough karma. You need karma to comment, but you need to comment to earn karma. How do I fix this?

• 
  Justinas Rolando (@JustinasRoland0) reported 1 hour 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