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 (44%)
• Errors (30%)
• Sign in (26%)

Live Outage Map

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

City	Problem Type	Report Time
Patna	Errors	12 days ago
Monclova	Sign in	14 days ago
Nice	Errors	14 days ago
Guayaquil	Errors	24 days ago
Veracruz	Website Down	30 days ago
Bhubaneshwar	Website Down	1 month ago

Full Outage Map

Community Discussion

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

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Reddit Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Elsyee (@encore_elsyee) reported 3 minutes ago

  You get down voted heavily on Reddit to this day if your dare to use an emoji

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  Monter (@buildwithgoks) reported 5 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?

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  UnrulyCrow🇺🇦🇵🇸✊️ (@Unruly_Crow) reported 6 minutes ago

  @_kodiakinclouds This is why I checked out from it (and fandoms in general). This behaviour has been happening for years now, even in 2020 when Twisted Wonderland got released, I quickly noticed this issue. In the 2010s I saw it on Tumblr and Reddit, it made me actively avoid certain fandoms.

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  XEGAN (@xegan271) reported 8 minutes ago

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

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  Amin (@eCom_Amin) reported 9 minutes ago

  fable 5.1 is insanely CRACKED at finding winning google ads angles to scale your brand past $1m/mo research capacities literally DOUBLED so here's every prompt you'll need to reverse-engineer competitors' funnels and rip some banger gads based on it: (actually run them all rn, don't just save this) 1. load the brain before you ask it anything the research is only as sharp as the context. upload: - pdps - reviews - website - funnel pages - competitors - report CSVs - brand docs - ICP info - winners - losers literally everything then run this: "act as the angle research lead for this brand. read everything uploaded and build a working profile: ICP segments ranked by revenue, the pain points in the customer's own words, the objections ordered by how often they appear, the proof we already own, and the beliefs a buyer must hold before purchasing. do not propose angles yet. summarise what you found, then tell me what context is MISSING" that last instruction is the whole game. prompt engineering is cope just have claude tell you what he needs from you and give it to him. anybody who disagrees just loves to overcomplicate things. 2. mine untapped databases that semrush misses prompt: "search reddit threads, quora answers, amazon reviews and Q&A sections, youtube comments on competitor and category videos, tiktok comments, trustpilot, and niche forums for people discussing [PROBLEM CATEGORY]. extract VERBATIM language, never paraphrase. for each goldmine you find, give me this: the quote, the pain underneath it, what they already tried, why it failed them, the outcome they want, and the emotional state behind it" paraphrasing is how angles end up sounding like ai slop. the whole value is in knowing your ICP's EXACT words and repeating them on ads. 3. reverse engineer every competitor funnel end to end "research [COMPETITOR 1, 2, 3]. use google ads transparency center, meta ad library, their landing pages, checkout flow and email capture. for each: every live ad and where it routes, the landing page TYPE, the hero promise, the mechanism they claim, the proof they lead with, the objections handled and in what order, the offer and guarantee, and what they are NOT saying" then: "for each competitor page, tell me which awareness level it was built for. then identify which of their traffic is landing on the wrong page type" this is how you find gaps in your competitors strategies that you can capitalize on 4. diagnose market sophistication BEFORE choosing an angle this is the step 9 out of 10 brands skip and it decides whether your angle has any chance: "assess the market sophistication level for [CATEGORY] using schwartz's 5 stages. analyse competitor ads and landing pages as evidence. stage 1 means nobody has made the claim yet. stage 2 means claims are escalating. stage 3 means mechanism differentiation has started. stage 4 means mechanisms are competing. stage 5 means the market is exhausted and identification wins. tell me which stage we're in, the evidence, and what type of angle still works at this stage" if your category is at stage 4, a bigger promise does nothing. every competitor already made one. if you're operating in stage 5, the mechanism is exhausted too, and the strategy has to shift again your ad is only good if it resonates with the market it operates in 5. score every angle against awareness and funnel stage "from the research, generate 15 google ad angles for my brand. for each: the awareness level it serves, the funnel stage it belongs in, the sophistication stage it's valid at, whether it's validated by competitors or white space, the proof required to run it, and the funnel type it should be tested through. rank by expected impact and flag any we lack proof to support" an angle without proof is a claim. claude will rank those last 6. map the keywords to the angles, not the products "build the keyword universe for [BRAND] using the customer language and competitor research. split into branded, competitor, problem-aware symptom queries, solution-aware category queries, comparison, use-case, and occasion. tag each with awareness level, the angle it pairs with, the funnel type it routes to, and the campaign that should own it" this will make everything nice and organized 7. turn the research into the campaign plan "turn everything above into a 30-day google ads launch plan for this specific brand, its AOV, margin structure and market sophistication stage. for each campaign, give me: the angle it carries, the keyword cluster, the landing page type, the creative direction, and the signal that decides whether it scales, holds, or gets cut. separate must-launch from phase 2 tests" then: "tell me which 3 angles to test first and why, given our sophistication stage and the proof we currently own" and that's literally it your competitors are testing angles with fat budgets while you analyze it all, learn from their mistakes, and (ethically) rip their winners with a unique twist and if you want me to audit your brand's google ads angles using this system and show you how we'd capitalize on the winning ones... DM me "OPP"

• 
  INVIS.UNLTD👑 (@invisibleunltd) reported 11 minutes ago

  @ireadaxu @nypost Reddit will solve the problem

• 
  Daddy No Legs (@questioncom) reported 12 minutes ago

  @NotLizBrody It’s like the number one thing coaches tell people. If you dont have money for the **** to support the cycle, stay off. Do they listen? No. They rush to Reddit and cry about their **** not working, all the acne, the gyno, etc. Then have to wait it out while everything crumbles

• 
  SHRIMPMONEYCAPITAL (@SHRIMPMONEYCAP) reported 14 minutes ago

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

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  Nomos (@NomosBuilder) reported 15 minutes ago

  @AnghanMeet29 At zero users, I wouldn’t start with ads. I’d first find 10–20 people already talking about the problem you solve and reach out directly. That’s basically what we’re building OpenNomos for — finding those people across X, Reddit, and Xiaohongshu. Happy to help you find a few.

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  QuiescentCrescent (@qui_crescent) reported 17 minutes ago

  It's just very funny to me how positively tame whatever personal drama he has going on is compared to the gangbanging and serial killing of all the thug rappers reddit fellates. All performative, all the way down.

• 
  Treigua (@Treigua) reported 19 minutes 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.

• 
  ❁Fat *** Kelly Price❁ (@LaFawndah) reported 20 minutes ago

  @nicole07133 @00MF0E She started taking IG post down when Reddit began picking up on just how much she contradicts herself.

• 
  Dog Dad The Pilot (@TeamBubba23) reported 21 minutes ago

  @BW_Channel23 Saw somebody posted this on Reddit the other day. It got taken down shortly after

• 
  The Wise Investor 🧠 (@TheWiseIC) reported 21 minutes ago

  @sjb987654321 @varuninvesting User stagnation is a risk but let me paint this picture. If Reddit wasn’t desired, why does logged out traffic and web referrals continue to grow? Clearly, there’s a demand for “what does Reddit think”? The issue is how to convert logged out to logged in. Well, management said that the best conversion comes from platform investments. Reddit search went from 1M users last year to 15M users. They just need to make the platform better to use. That’s it. The best ROI comes from within.

• 
  CmdrDevonKramer (@DevonLH_VT_) reported 22 minutes ago

  Before I go to bed tonight I need some rest. Dana's systems are an absolute good. They find bots. They find problems. They find Reddit headaches. They find everything. Dana's systems find all the problems. If you are stupid enough to say something purely threatening and toxic to me, expect to be removed. I do not care who you are. If you are one of these people you get punished, and for the right reasons. I do not reward stupidity!

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  Cushion Finish (@Cushionfinish21) reported 25 minutes ago

  @moonlarking @pixaxiq @CH4R10T_TV The easy way to tell is the lack of engagement on the post other than views and likes. You can easily find places that will charge you like 15c for 10 likes with a quick Google search - people use them all the time. It's a huge problem on this site as well as Reddit.

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  d1nz.3 (@d1nz_3) reported 26 minutes ago

  @mrzlucid callin it a funnel is fair, my problem w it is what it converts. 8 months of BIP posts got me followers who r all buildin the same thing as me, n almost nobody w the problem I solve. what shifted it was postin the same updates where the buyer asks the question - reddit threads, comment sections - n keepin BIP for the founder crowd. both r fine, just dont count one as the other.

• 
  AdamOFK (@adamofk_) reported 27 minutes 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.

• 
  Carnelian🇺🇸🦖 (@carnelianpagan) reported 33 minutes ago

  @HazelAppleyard Surely he knows what a **** looks like, considering he has one. They don't all look the same but it's pretty close. Unless he's never looked down? That post is a whole can of worms. Dude need serious therapy, not reddit troons.

• 
  Justinas Rolando (@JustinasRoland0) reported 35 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

• 
  Ray Myers (@TheRayMyers) reported 42 minutes ago

  @iran23777 @ariaradnia "IMO Google and AI need Reddit as much as Reddit needs them" Pure delusion, they don't. Google is a $4T company, they control Reddit's destiny. Reddit gets so much traffic from search, google could cut that down 60% with a simple algo search. +Reddit is turning into AI slop service.

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  FINTECH.TV (@FINTECHTVglobal) reported 42 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

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  Mendía Helicopter Tours (@MendiaTours) reported 46 minutes ago

  @PriestRitchie They trained hard for it. Enormous amount of debate and discussion. They forged and refined their rhetoric together. The problem is they were on Reddit, a place that bans truth and dignity and hides dissenting views. They assumed it would be more of the same here

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  Baroque Naturalist 🫒 (@baroquerational) reported 46 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.

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  Prakrit (@Misarwaprak) reported 48 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.

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  hooftly (@hooftly) reported 50 minutes ago

  Something has happened in the trenches. We are seeing the emergence of a new meta that, to me, has always been obvious. If you troll my old Reddit posts, you will see me talking about this. I have always been adamant about one thing when it comes to memecoins... they need more than a meme. Bored Ape Yacht Club were pioneers here because they took an otherwise pretty useless meme and turned it into a social phenomenon. They achieved this by adding exclusive perks for holders, different levels, and more. The lesson learned here? Utility is required for any meme to survive long term or grow further. That utility can look like what BAYC did... Or it can look like something else. How many memecoins have you ever held? Were you glued to the charts, hoping it wouldn't nuke, with your finger on the sell trigger? This is psychologically draining. It's also dying as a meta. Enter MemeFi. The very thing I have been talking about for so long. I'm not the only one who sees this now. It started with Stonkbrokers piercing the veil and really setting it off. People started to realize memes could be more. They could be productive, and they could earn. Once you see this in one place, you start to realize where this is not happening... which is almost every OG meme in the space. Okay, cool, but SB was built from first principles by a builder who was deeply entrenched. They can't all be the same caliber, right? This may be true, because building DeFi is hard. But what if there were a way to make memecoins useful without needing to build massive rewards incentives internally? What if you could also tie it into the growing MEME/Stock pair meta? This is one of the things STATICS is trying to accomplish. You may have heard about our basket tokens and how, when created, Uniswap v4 pools are deployed pairing the Basket Token itself with each of its underlying assets. Three underlying assets in the basket? Three pools are created. This creates an arbitrage graph between the pools, the external venue value of the underlyings, and Basket Token mints and burns. Now enter memecoins and stock pairs. These are already seeing traction, and users are making real yield in liquid assets by LPing Meme/Stock pairs. But what happens when attention ends? What drives trading if no one is paying attention? ARBITRAGE. I know I sound like a broken record at this point, but the more opportunity you have for price divergence, the more opportunity arbitrage traders or bots have to rebalance and profit. This translates to volume. Volume translates to fees. Fees translate into rewards for LPs. And rewards can translate into attention coming back because the yield is good. See where I am going? Basket Token pools don't require speculation to attract volume. All they need is price divergence. In trading, divergence is an everyday occurrence. Imagine a basket with underlyings of NVDA and MEMECOIN. We call it NM1. You then have pools with: NM1/NVDA NM1/MEMECOIN If MEMECOIN dumps hard on an outside exchange, think about what just opened up... The MEMECOIN/NM1 pool has not dumped with it, and this has created a DIVERGENCE. A trader can buy MEMECOIN at the lower external price, sell it into the NM1/MEMECOIN pair, acquire NM1 tokens, burn NM1 for the underlying assets, and profit. The trader was able to profit AND pick up NVDA at the same time. And this is just a super simple example of all the possibilities that open up. $STATICS is building infrastructure to make existing assets useful and, ideally, bring attention back to them. The Uniswap v4 hook also compounds part of the fees directly back into Protocol Owned Liquidity that can't be removed until a pool is decommissioned. This means every trade deepens protocol-owned liquidity. MemeFi is here, and it's being paired with stock tokens. The frontier for this is on @RobinhoodCrypto, and @staticsprotocol is building for it.

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  technopol 🕊️ (@technopol_ph) reported 50 minutes ago

  @nokkron @ShitpostRock I've been banned there for the most mundane things like my photo's pixel size was too large. They have the ability to scale it down like normal forum moderators do but no not in Reddit.

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  Jim Reaper (@the_Jimreaper) reported 56 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.

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  midgame iron btw (@afrewbrews) reported 57 minutes ago

  Twitter and Reddit communities couldn’t be farther apart on this issue

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  Priyanshu Bhati (@buildwithpb) reported 1 hour ago

  @Noise_Frequency @susanabulhawa glitch is huge but calling them barons feels like a stretch. they’re just really good at reddit lore.