Reddit status: access issues and outage reports
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Users are reporting problems related to: website down, errors and sign in.
Reddit is a social news aggregation, web content rating, and discussion website. Reddit's registered community members can submit content, such as text posts or direct links.
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.
May 26: Problems at Reddit
Reddit is having issues since 04:00 PM EST. Are you also affected? Leave a message in the comments section!
Most Reported Problems
The following are the most recent problems reported by Reddit users through our website.
- Website Down (62%)
- Errors (25%)
- Sign in (12%)
Live Outage Map
The most recent Reddit outage reports came from the following cities:
| City | Problem Type | Report Time |
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Sign in | 1 day ago |
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Sign in | 1 day ago |
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Website Down | 3 days ago |
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Sign in | 3 days ago |
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Errors | 4 days ago |
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Website Down | 7 days ago |
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:
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KB (@kristen8323) reported@_dosesofdee The ppl of reddit agree lolol. I've gone down the rabbit hole a few times. And I think kandi and todd were in such cahoots with tiny and TI that they all had some *things* going on lol
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Elephant (@808crypto) reportedReddit $RDDT will be an absolute beast the rest of the year. Write it down now. I'm calling for Reddit to hit $300 by years end.
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SkyIsTumbling @ Fanime cause i live here (@SkyIsTumbling) reported“I’m being called a puritan” and then using “Public degeneracy” in the same breath. Reddit is down the hall and to the left.
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Glenda Fassold 🇱🇷Patriot!Trump! (@fassold_glenda) reported@AumoneMaison @GayRepublicSwag My mouth and temperament has become so bad lately, I’ll probably be gone soon, especially with Nikita in charge. I’ve been suspended 3X’s, Now I seem to only get people in my feed that I shoot down! Kinda like before I left Reddit. I like you tho. I wish I could set it to MAGA only! The rest, especially Libertarians lately, I have zero use for! I’m Catholic, and still constantly attacked by Groypers. No use for them either. Whiners.
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Its Just Neo (@BartHankso32375) reported@mewpilled I got a comment taken down on reddit when i told somone their friendsslavery cuck fantasy was off putting. Then again its reddit
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Max Nardit (@mnardit) reportedWhen Search needed publisher pages as the click destination, publisher health was Google's problem. Now the destination is the results page itself: AI Overviews, the Reddit Discussions box, Knowledge Panel. Publishers became suppliers, not destinations. Suppliers get replaced.
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Rank one 🐬 (@rankodimoti) reported@jimmyhoffa85 @Squeeze1i 🎯 I am literally writing about this since 2022 on reddit and you tube - and 99% of people do not understand this at all. Social anxiety is perceived by majority as teen shyness issue connected to cognitive distortions and lack of stoicism, lack of confidence.
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STYLEZ OF NY (@PRODUCERSTYLEZ) reported@Reddit so I randomly get my page suspended with zero proof or proper investigation. Definitely can't wait to see you shut down
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Texian (@TexianTexan) reported@biasbreakdown @JoshuaTCharles It's not an issue of whether he's arguing for it or against it. The issues are: Leo is giving it far too much credibility, too early in the hype cycle And, people are being suckered by the hype AI is a predictive algorithm trained using content from reddit that everyone places way too much trust in
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thona (@THEMYSClRANS) reportedthere’s this one jott mod on reddit that literally becomes the mod for everything cyclops related and shuts any **** down that isn’t jean related
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Kara (@osrskara) reported@myf50 “Complaining on Reddit” was your problem
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Irfan Mohamed (@Irfanbuilds) reportedstarted with 0 users. no audience. reddit account got banned too 😭 so i had to figure out another way to get users for my saas. for the last 10 days i tested everything manually only in x (Twitter): • optimized my twitter profile like a landing page • commented on big accounts before the post blew up • posted 3-5 times daily • shared build in public journey honestly • gave value instead of pitching • built free tools around the product • used my own AI tool to find intent leads on X result? 50+ users in 10 days without spending on ads. $ 0 spent . comment "50" i’ll drop the full walkthrough + exact strategies i personally used. biggest lesson: people don’t buy because you “launched”. they buy when they repeatedly see you solving real problems publicly. still early. still learning.
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Phil Osophy (@Philosophycr21) reportedThe problem with expensive abilities is casuals have no game sense, and therefore think they are weak cause they use them poorly. Take hero dark prince, its agreed upon in the reddit community to be the worst hero. And every single one of them are wrong.
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Zac 🐢🌹 (@thetallman_Z) reportedReading a Reddit read along of Pynchon’s V to try and make it make more sense and maybe it’s on me for using Reddit but it is barely helpful. Big problem is the writer on the starter/recap posts is trying to write in his style and it’s like Why man? It’s not clearer!
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Maine (@TheMaineWonk) reportedWashington DC Establishment STILL haven't figured out that coordinated attacks on @grahamformaine's old reddit comments and ignoring the economic issues will not move the needle. Let them figure it out on November 3rd.
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Nikki Jane (@NikkiJane13013) reported@deer_bxby Fingers crossed for you!! My ban was also automated, but Reddit truly needs to fix it because SW’s literally keep that platform alive :((
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FML (@True_Dawg) reported@FateFell182 @reddit_lies Correct... so what's her problem? Why's she mad at reddit? Oh, that's right... they didn't validate her victimhood.
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Samsung One UI (@SamNewsDaily) reportedSamsung One UI 8.5 Dark Mode Bug is Ruining Google Apps on Galaxy Phones If you updated to the new One UI 8.5 (stable version rolled out mid-May 2026), you might have noticed something off in Google apps. Here's exactly what's happening: Dark mode in Gmail, Google Messages, Google Keep, Google Fi, and others is broken. Instead of true deep black backgrounds, everything is now a washed-out light gray. The contrast looks ugly, text is hard to read in some places, and the whole interface feels high-contrast and off. It's not just one app, multiple Google apps are affected. The bug started right after the stable One UI 8.5 update hit S-series, Z Fold/Flip, and A-series devices. This looks like a conflict between Samsung's theming system and Google's Material You design. Samsung's dark mode used to be excellent, now it's inconsistent and frustrating. Many users are reporting the same issue on Reddit and Samsung Community forums, but Samsung hasn't officially acknowledged the bug yet or given a fix timeline. What you can do: Report it in the Samsung Members app → Get Help → Send Feedback Clear cache/data for the affected Google apps (temporary workaround for some) Stay on the latest updates and watch for a patch Anyone else seeing this? Drop your device model and affected apps below
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Olami Lekan (@RealOlamius) reported@legiitcom Your branding is honestly better than a lot of projects I see. The product is likely not the problem. The thing is, the right communities haven’t gotten there yet.” “Reddit is good for that because people trust recommendations more than traditional promotion.”
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babygirl (@itsgiinaaa) reported@Her_Nonymous_D I remember years ago I found a Reddit thread with someone’s log in for Hulu. We shared the account between hundreds of people and no one ever changed anything. My tv reset itself and logged me out of everything and I couldn’t find the login info again. 😭
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🍀 Federico Bartoli (@f3dericobartoli) reportedWanna know how to write better, more accurate copy that uses the same customers' tone instead of the classic AI slop? >>> You need to perform research on how your customers actually write >>> Scrape reddit posts, Youtube comments (underrated gold), Quora posts and blogs/articles >>> Save everything in a Google Doc >>> Upload it all on Claude/Manus or whatever LLM you want >>>Then use this prompt: ========== You are building a Voice-of-Customer Voice Guide for [BRAND NAME] — a [CATEGORY: e.g., "no-pull dog harness brand"] targeting [BROAD AUDIENCE DESCRIPTION]. This document will load as project knowledge in every Format Project and the Copy Chief project for this brand. Every piece of copy written for this brand must echo the language patterns captured here. The Voice Guide's job: make it impossible for a writer to default to generic marketing language. The raw customer voice is the asset — not a clean paraphrase of it. I'm attaching all available raw VoC data: Reddit threads, Amazon reviews, Trustpilot, Quora, X/Twitter, YouTube comments, brand PDP reviews, brand lander testimonials, and the Initial Product Breakdown. CRITICAL DISCIPLINE — READ BEFORE BUILDING: 1. Pull quotes VERBATIM ONLY. Do not paraphrase. Do not "clean up" grammar. Do not professionalize the voice. If a quote has a typo, keep the typo. If it has profanity, keep the profanity. If it's lowercase, keep it lowercase. The raw form IS the asset. 2. Source EVERY quote inline. Format: "quote text" — [Platform] | [specific source]. Examples: "I dread walking my dog" — Reddit | r/dogs (post title). "fits like a glove" — Brand PDP review | review widget. "Apparently I'm a butt when we walk" — X/Twitter | 3. NEVER fabricate a quote. If you cannot trace a quote back to a specific entry in the attached raw data, DO NOT INCLUDE IT. If a category ends up under-target because the data is thin, flag the shortfall at the end of that category — do not pad with invented quotes that "sound right." A document with 80 verified quotes is more valuable than a document with 200 unverified ones. 4. DO NOT confuse brand voice for customer voice. If a quote appears in the brand's own ad scripts, landing page narrative, or Initial Product Breakdown narrative copy — it is BRAND voice, not customer voice. Move these to a clearly tagged Appendix A at the end of the document. Customer voice and brand voice are different assets and must not be conflated. 5. DO NOT confuse researcher paraphrase for customer voice. If a research source includes summaries like "Common pattern: customers often say things like X" — that is researcher synthesis, not a direct quote. Only include the underlying raw customer quote if it's also present. 6. INTERROGATE the audience assumption. The brief above ("[BROAD AUDIENCE DESCRIPTION]") is a hypothesis. Before finalizing the document, check it against the verified data: - Does the verified quote pool actually support the assumed demographic skew? Quantify. - Does the verified quote pool actually support the assumed primary pain? Quantify. - Does the verified quote pool reveal a different dominant identity-tag than the brief assumes? If the data contradicts the brief, flag the mismatch explicitly in Section 9 and recommend the audience-frame correction. Build this as a single document. Target length: 5,000–8,000 words. The length serves utility — more raw voice = better outputs. REQUIRED STRUCTURE: SECTION 1 — Customer Snapshot A 200-word description of who this customer actually is, in human terms. Demographic data is secondary. Lead with: their typical day, their mental state when they encounter this brand, the emotional baseline they're operating from. Pull from the verified trigger moments visible in the data, not from generic persona assumptions. SECTION 2 — The Verbatim Library The heart of the document. 150–300 raw verbatim quotes from the source data, organized into 6 emotional categories. Each quote: exact text + inline source tag (platform | specific source). Six categories: CATEGORY 1 — Frustration / Anger The "I'm done with this" / "nothing works" moment. Target: 25–50 quotes. CATEGORY 2 — Hope / Wanting to Believe The cautious optimism before trying something new. "I really hope this works..." Target: 20–40 quotes. CATEGORY 3 — Skepticism / Resistance The objection state. "I've heard this before..." Target: 20–40 quotes. CATEGORY 4 — Identity / Self-Description How customers describe themselves and their situation. Target: 25–50 quotes. CATEGORY 5 — Breakthrough / Win The moment something worked. Target: 25–50 quotes. CATEGORY 6 — Regret / Wish-I'd-Known Looking-back language. Target: 15–30 quotes. At the end of each category: state the actual quote count and whether the category hit its target range. If under-target, flag "Thin data — additional scraping recommended" with a specific recommendation for where to find more (which platform, which thread type). At the end of Section 2: a totals table showing quote count per category, target range per category, and overall total. SECTION 3 — Sentence Rhythm Patterns Analyze how this audience constructs sentences, grounded in verified quotes from Section 2: - Average sentence length they use (with quantified estimate) - Do they use fragments? When? Provide verified examples. - Do they ramble (long run-ons in emotional moments) or punch (short sentences in frustration)? - How do they transition between thoughts? Provide verified verbatim transition phrases. - How do they emphasize? (ALL CAPS? Repetition? Asterisks? Multi-exclamation?) Include 8–12 example mini-passages (2–4 sentences each) showing natural rhythm, pulled verbatim from Section 2 with quote IDs. SECTION 4 — Vocabulary Inventory 4A. High-Frequency Customer Words and Phrases (30–50 entries) Phrases the customer uses repeatedly that AI would never reach for. Each entry: the phrase + example verbatim sentence from Section 2 + Section 2 quote ID + frequency note. 4B. Marketer Words This Audience Tunes Out Marketing language the audience explicitly resists or mocks. Each entry: the marketer phrase + a verified verbatim customer rebuttal from Section 2 with quote ID. CRITICAL: Every entry in 4B must have a verified verbatim rebuttal in Section 2. If you cannot tie a marketer-phrase entry to a verified rebuttal, remove it. Do not list marketer phrases inferred from absence. SECTION 5 — How They Describe the Problem (Their Words vs. Marketer Words) Two-column table. Left: verified verbatim from Section 2 (with quote ID). Right: how a typical marketer would phrase the same idea. Minimum 15 rows. SECTION 6 — How They Describe the Win (Their Words vs. Marketer Words) Same structure as Section 5. Minimum 15 rows. SECTION 7 — Sentence Openers They Actually Use First-three-word openers pulled verbatim from Section 2. Each entry: the opener + Section 2 quote ID + platform. Minimum 25 entries. If a candidate opener doesn't appear as a first-three-word phrase in verified Section 2 quotes, do not include it. SECTION 8 — Register Notes (quantified against the verified library) Audit the audience's tonal default state using only verified Section 2 data: - PROFANITY: What percentage of verified quotes contain profanity? In which emotional categories does it concentrate? Quantify (e.g., "Profanity in 4 of 220 quotes (1.8%), all in Cat 1 and Cat 6"). - FORMALITY: What % start with a capital letter? What % use lowercase 'i'? What % use contractions? What % use ellipses as breath marks? What % use ALL CAPS for emphasis? Quantify each. - HUMOR: What's the humor style based on verified instances? Pull specific verified examples. - AUTHORITY RELATIONSHIPS: How does the audience treat vets, trainers, brands, peers? Quantify mentions and emotional valence per category. - SELF-DESCRIPTION TONE: How does the audience describe themselves? Pull verified verbs. Quantify dominant emotional registers in problem-state vs. win-state. Every claim in this section must be backed by a quote count or percentage drawn from Section 2. SECTION 9 — Voice Anchors (Reference Brands / Voices) 3–5 reference brands, writers, or public figures whose voice matches the verified audience. Each anchor: name + why it matches (tied to specific verified data points from Section 2 or 8) + what specific stylistic elements to borrow. CRITICAL: Re-test the audience assumption from the brief here. If the verified data contradicts the brief's audience assumption (e.g., the brief says "older woman" but the verified data shows mostly young/strong-dog owners), state the mismatch explicitly and select anchors for the actual verified audience, not the assumed audience. SECTION 10 — The "Sound Like This, Not Like That" Tonal Bible 8–15 paired examples. Each: - "Sound like this:" [verified verbatim from Section 2 with quote ID] - "Not like this:" [realistic generic marketer version of the same idea — NOT a strawman] The "Not like this" side must be a register a copywriter might actually drift into (e.g., "Sudden lunges can put strain on your wrist and shoulder over time" — vet-content educational register), not an obviously-bad strawman ("Brand X is the BEST!"). The goal is to teach the writer to recognize their own drift modes. APPENDIX A — BRAND-VOICE REFERENCE (NOT VERBATIM CUSTOMER VOICE) Phrases that appear in the source dossiers but originate in the BRAND's own ad scripts, landing page narrative, or Initial Product Brief — NOT real customer reviews. List them here so writers recognize them as the brand's existing positioning vocabulary, but they must NOT be quoted as "what customers say." APPENDIX B — USAGE NOTES FOR WRITERS Short notes covering: - Where quotes are sourced from - Typographical preservation rules (typos, lowercase, profanity, unusual punctuation — all preserved deliberately) - Documented thin spots in the dataset (which categories have weaker data, where to scrape more if needed) - What to do when a writer hits a "feels right" sentence not in the guide (default: stop, pull a verbatim that does the same job, or flag the new sentence as AI-generated) ANTI-DRIFT CHECK (run on yourself before outputting) Before delivering, run a final source audit on yourself: 1. Have I included ANY quote I cannot trace to a specific source in the attached raw data? If yes, REMOVE IT. 2. Have I "cleaned up" any quotes (fixed typos, smoothed grammar, removed profanity)? If yes, RESTORE THE ORIGINAL VERSION. 3. Have I included any phrases from the brand's own ad scripts or landing-page narrative as "customer voice"? If yes, MOVE THEM TO APPENDIX A. 4. Have I included any researcher paraphrases / "common pattern" summaries as direct quotes? If yes, REMOVE THEM unless I can also produce the underlying raw quote. 5. Does Section 8 quantify every claim with a count or percentage drawn from Section 2? If any claim is qualitative-only, ADD THE QUANTIFICATION. 6. Did I interrogate the audience assumption in the brief against the verified data, and flag any mismatch in Section 9? 7. Does every entry in Section 4B (Marketer Words) tie to a verified rebuttal in Section 2? If not, REMOVE the unsupported entries. If any check fails, fix before outputting. Output the complete Voice Guide now. ========== This will create a writing guide that teaches the LLM to write in the same tone as your customers Is it perfect? No, you'll still have to edit manually But the outputs are SIGNIFICANTLY BETTER Try it out
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Tyeisha BIEBERCHELLA (@tml82993) reported@issueseffect @TakenGiven0 Here’s a good example. There’s a fan community for her on Reddit and even they said her rollout for something beautiful is what resulted in the album basically flopping and not doing anything. They said the rollout was absolutely awful. Her fan said execution was terrible.
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TheSkepticalProthean (@ProtheanTexan) reported@vizurantvis Honestly, I really do not feel bad at all. I just don’t really care about people are complaining over this deserved rug pull. Even if you have stolen content let’s say meme from Reddit I still would not care as I would consider it a act of Fair Use, but if you stole data from my research and republished it as your own I would call out the plagiarism of my work. I remember when Redditors were complaining over this issue back around 2017 where a Redditors would take a post from someone on Tumblr or Facebook, edited everything, later to repost back onto Reddit.
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Timo 🌱 (@TimoBuilds_) reportedPOV: you did the marketing work and still got 0 conversions. Posted. Replied on Reddit. Sent DMs. Checked PostHog. That’s the part nobody likes to post. But it's part of the game and why marketing feels 1.000 times harder then building. This view at @posthog showed me the real problem: the top of the funnel is not the only thing I need to understand. 87 people viewed the homepage. 5 generated a roadmap-preview. That part works. But what happens after that? Do they log in? Do they open the app? Do they hit the paywall? Do they quit before checkout? Without that, I'm just guessing.
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ybg deluxe.🇨🇩 #ThankYouToriyama (@EpicDats) reported@bappytweets Uhhhh its ohio based loser Reddit down vote him
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Venonymous Snake (@venomus91) reportedOkay so my phone stopped taking screenshots altogether and it says that it has no more archiving space,even though I have a lot of space and the screenrecording works. A lot of people on reddit are having the same problem so at least I know it's not just me and not my fault lol??
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ℤ𝕒ℕ𝕐 (@ZaNYv2) reported@Battlefield @BattlefieldComm Casual Breakthrough is broken, won't allow players to deploy. Not map specific. Multiple Reddit users also reporting the same.
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Jeremy Haynes (@TheJeremyHaynes) reported3/ Look for the real problems We had a client whose show rate dropped from high 70s to low 40s. We implemented hammer them campaigns, updated confirmation pages, aggressive email sequences. Made no difference. So we Googled the business name + "Reddit" and found the actual problem.
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Professor Uzair (@professoruzair) reportedWe cut our outbound effort by ~70%. Without increasing cold DMs. The real change? We stopped hunting random leads and started replying to people already expressing the problem on Reddit + X. Now I’m curious: What’s your main blocker with cold outreach? A) Low response rates B) Feels like spam C) Takes too much time D) Poor lead quality Reply A/B/C/D 👇
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Princess Peach ✨🩷 (@drugz4dinner) reported@eiwbmint super slow but i also do IRL and reddit which i get subs and money a lot quicker, i dont take this app as seriously tbh