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 (63%)
• Errors (25%)
• Sign in (12%)

Live Outage Map

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

City	Problem Type	Report Time
Foligno	Sign in	1 day ago
Odessa	Sign in	1 day ago
Guayaquil	Website Down	3 days ago
Atlanta	Sign in	4 days ago
Helsinki	Errors	4 days ago
Lübeck, Hansestadt	Website Down	7 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:

• 
  Rub (@Rub1934570) reported 1 minute ago

  I need a discord server similar to the jerkbuds reddit page. A place where gooners can chat with other gooners

• 
  Sylwia 🍄 (@Pissbaby666) reported 4 minutes ago

  Should I go back to posting on reddit or is it still just as terrible?

• 
  Wᴀʟʟꜰʟᴏᴡᴇʀ 🥀 (@autom8nerd) reported 5 minutes ago

  @aadityansha_06 there are websites out there. but I've never done this thing. you can search down reddit for there are genuine reviews out there.

• 
  shopsterra (@john_shopsterra) reported 5 minutes ago

  @TTrimoreau Distribution. By a lot. You can fix a bad product if people are using it. You can't fix a good product nobody finds. I spent month 1 on infrastructure - Reddit, LinkedIn, cold email warmup. Nothing moves until distribution does.

• 
  Stevie Janowski (@StevieJnowski) reported 6 minutes ago

  @reddit_lies Why can’t I find this on Reddit, did it get taken down?

• 
  Olami Lekan (@RealOlamius) reported 12 minutes ago

  @Supaboardai 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.”

• 
  Max Nardit (@mnardit) reported 14 minutes ago

  When 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.

• 
  Goddess Zaraya ☆ (@SendForHer) reported 14 minutes ago

  the fact that i have almost 500 followers on reddit but engagement is terrible over there is killing me🙄

• 
  Honey Syed (@honeydreamss) reported 19 minutes ago

  @brycent @Reddit Were you able to recover it? Facing similar issue.

• 
  Irfan Mohamed (@Irfanbuilds) reported 21 minutes ago

  started 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.

• 
  Jeremy Haynes (@TheJeremyHaynes) reported 23 minutes ago

  3/ 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.

• 
  LordofHollows (@KGLordofhollows) reported 33 minutes ago

  @Xuanathame @MantisSqualid @Darthshadow25 system to return is for the culture around it to change. But as long as the PvP community from DS1, 2, 3 is still around, that's never gonna happen. Because those people will not only kill you, humiliate you in game (point down) but also online (yt, reddit,twitch) just to brag.

• 
  FinRiff (@FinRiff) reported 33 minutes ago

  @jain_harshit fortune documented hundreds of reddit posts on this in mid may. anthropic staffer called it a character tic they want to fix not an official feature. claude does not reliably know your local time

• 
  🍀 Federico Bartoli (@f3dericobartoli) reported 34 minutes ago

  Wanna 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

• 
  DK (@DK1gmm) reported 34 minutes ago

  @davidsirota Today they are ALL in trying to dig up the next big breakthrough that will Take down Platner (Facebook comments from 2012 or whatever) now they have people following him in and out of stores to ask him on camera about Reddit comments… he scares the **** out of them.

• 
  superjuper (@sukellusvene1) reported 35 minutes ago

  @dutch_od People hating because they got burnt by the TRVKE you posted. It’s reddit all the way down

• 
  Sameer Srivastava (@ovalpod94416) reported 36 minutes ago

  @alexcooldev Just started putting a UGC. Previously I was just doubling down on Reddit and it's working really well but now I am thinking of finding other ways to distribute agentline

• 
  Lana (@Bitcoin4Woman) reported 43 minutes ago

  Look up the reddit group r/decaf. It's a bunch of people trying to get off caffeine. They describe the science. I used to get anxiety and jittery after 2 shots and had sleep issues even though drank it in the morning. Much calmer now without it. It also dehydrates skin but apparently coffee is good for the liver.

• 
  🦅𝔾𝕦𝕟𝕓𝕠𝕒𝕥 𝔾𝕠𝕒𝕥 🦅 (@GunboatGoat) reported 43 minutes ago

  @TransLupita @pStevenson_Auth @Rainmaker1973 Reddit is down the hall to the left. Take your retarded *** and your 2013 era gobbledegook word salad over there. Also, you'll never be a woman.

• 
  Jered McCorkle (@jeredmccorkle) reported 45 minutes ago

  @BobbyBack24 @burnyourbinder @ManySuchCases I’m not saying you can know nothing from these kinds of Reddit formats but they’re are some key problems: We do not have the opposite kind of forum to compare. Accordingly these kinds of forums are heavily biased towards grievance. Also people are obviously posting repeatedly.

• 
  Harshil Tomar (@Hartdrawss) reported 49 minutes ago

  This reddit user found the 10 Step Secret Sauce to hit $15k MRR in <60 Days ! here's the full Playbook ( STEAL THIS ): 1/ every tool solved one niche pain >not multiple use cases or broad platforms >one problem for one specific audience >dog groomers, painters, trainers, boring niches >specificity made selling easier 2/ pricing stayed boring too >most sat between $15 and $39/month >$9 attracted tire-kickers >$99 needed too much approval >$29 worked at 300 customers 3/ spreadsheets were the real competitor >they didn't replace other SaaS tools >they replaced messy manual processes >spreadsheet pain made the pitch obvious >“stop doing this manually” sells fast 4/ ideas came from inside the niche >founders worked in the industry already >or had friends inside the market >or studied complaints for months >none came from shower brainstorming 5/ the math was simple >300 customers at $29 = $8,700 MRR >most niches had 10,000+ possible buyers >they didnt need the whole market >just 300 people with pain the real takeaway: >pick boring niches >replace manual work >price for easy decisions the best micro-SaaS tools are invisible and quietly print.

• 
  Gary Clark (@soloceoai) reported 50 minutes ago

  @Zenysi_ You’re right—ProductRank’s ICP lives on X and Reddit. Most founders don’t realize silent gaps (like schema issues or missing GTINs) kill their AI visibility. Sharing those “invisible” fails sparks real conversations. Double down on these channels.

• 
  Stock Talk Thedave2006 Canada and US 🇨🇦 (@thedave2006) reported 50 minutes ago

  7) Meta releases Reddit-like app 8) Bruno Mars pop up store at Yorkdale Mall 9) Options traders say bitcoin broken 10) Oura files for IPO 11) Merlin Labs could fly planes by AI, 100s of test flights, years away for actual air flights

• 
  PeopleToday.id (@peopletodayid) reported 50 minutes ago

  Talk about “me, myself, and I.” Most people just crop the photo or use a filter, but this girl really sat down and manually placed emojis on every single face behind her. 📷: reddit #PeopleToday

• 
  🐠 (@bbukhia) reported 50 minutes ago

  @Radiant_Matt @AngieRealityTv reddit is down the hall and to your left

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  𝙲𝚘𝚠𝚋𝚘𝚢 𝙿𝚒𝚕𝚕𝚎𝚍 (@Outlaw_Memes) reported 50 minutes ago

  @Elevation_Pics Is this going to a massive "le creepy Reddit" let down? Because a backrooms movie adaptation should feel like shutter Island, not a final destination movie.

• 
  wise fellow (@laidbackrevenge) reported 50 minutes ago

  I GOT IT BACK! after like 6 hours emailing back and forth with support (unhelpful) i found a random reddit reply of someone with my exact issue and their fix worked, YIPPIEEE THANK U RANDOM PERSON BLESS YOU.

• 
  Drag0n647 (@drag0n647) reported 52 minutes ago

  @uzi5_55 Oh that community has been around for a little while surprisely. Reddit probably won't ever remove it but maybe the feds might since whats been going down.

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  Tends_to_ infinity (@abhay_singh77) reported 54 minutes ago

  Today evening he was reached out by CBSE officials and indeed they accepted the mistake... This kind of paper exchange is crazy... Reddit is filled with students complaints... CBSE should answer and rectify all the issues regarding this exam!!

• 
  9 (@egggtheory) reported 59 minutes ago

  ykw im rly envious of guma dislikers bc its so normal to hate/shade/undermine him openly while i as his fan cant breathe in the wrong direction without the risk of getting misconstrued and getting talked down in a very mocking reddit incel tone bc "its always the guma fans!" 🫩