Reddit 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:

• 
  5 Seconds of Summer Shady Facts (@starryvalentine) reported 6 minutes ago

  @81miwi there was a post on reddit which kinda broke down the website’s coding lemme see if i can find it

• 
  Blake Landry (@BlakeLa47479819) reported 11 minutes ago

  @DoesItPlay1 One week is not going to change anything people did this exact same thing with Reddit and it did nothing. Also, there’s your problem you told them when you’re going to stop so they don’t give a **** nothing will change it’s going to have to be a lot longer than just a week.

• 
  John (@hello_code_) reported 11 minutes ago

  @HashamBuilds find where people are already complaining about a painful problem on reddit, then just charge to solve it. the research is free.

• 
  Michelangel Yo (@MichelangelYo) reported 12 minutes ago

  @ggreenwald @LoewyLawFirm @vanguard_pod we used to have a word for this, something about the oldest profession in the world. Don't worry, the vanguard boys won't get it, after all they live in a van down by the river. (rip chris farley, probably smarter than both combined) Sadly I see more original content on stupidpol (reddit) from actual lefties than from folks like the vanguard / etc. Now if we could make Sabby less flabby that'd make me habpy.

• 
  Not Telling (@mig31best) reported 14 minutes ago

  @ezcopterROFL @Soymaxxing12 It just isn’t useful for most things. Functionally a worse google search for 90% of issues, the other 10% have been solved by some guy with the same problem on reddit ten years ago

• 
  Aisar (@aisarcore) reported 18 minutes ago

  A man scratched his lottery ticket and saw $100,000. The lottery told him it was a $20 misprint. Then he found ten other people the exact same thing happened to.** – Indiana resident Tyson Fields played the Hoosier Lottery's newly launched $5 "Space Invaders Cash Invasion" scratch-off game in June 2026. – His ticket appeared to reveal a $100,000 prize. – He drove straight to Hoosier Lottery headquarters in Indianapolis to claim it. – Staff told him the ticket was actually a $20 winner, and that what he'd seen was the result of a printing error. – He posted about it on Reddit, and the post exploded past 77,000 upvotes, drawing responses from other players who said the exact same thing had happened to them. – At least ten other people came forward believing they'd also won $100,000 on the same game, all told the same thing: misprint, not a real win. – A separate player, Glendon Jones, said he believed he'd won $2,500 on the same game, drove to lottery headquarters, and was told there was no money owed to him at all. – The Hoosier Lottery confirmed the issue publicly, saying some tickets showed a prize that didn't match the official validation record the lottery keeps on file, and pulled the entire game from stores. – Affected players were told only that they wouldn't be paid that day, and that they'd receive further information by mail within 30 days, no other explanation given on the spot. – Fields said he doesn't have the resources to sue on his own, but believes the situation could support a class-action lawsuit given how many other winners he's already found in the same position. Ten different people scratched the same game and saw the same six-figure number. The lottery's answer to all of them was the same: it wasn't real, and you'll get a letter in a few weeks.

• 
  Max | Google Ads (@lifemaximised) reported 23 minutes ago

  You could run 80% of your Google Ads operation inside Claude Opus 5… So here’s our 10-stage prompting workflow to do so: (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 Opus 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 “OPUS” and I’ll show you what it’d look like

• 
  🐒Deja Wu🐒 (@DejaWukong) reported 27 minutes ago

  @BananaJuju_ if you are a top 1% on vtuberdrama reddit...you got issues xD

• 
  Jen XDIZ IS 6 (@nyzcesumi) reported 28 minutes ago

  If you 100% believe on that reddit post then so be it but please stop convincing others to do so too. Again it was full of OPINIONS, and every person have different one. From the very beginning of this issue a lot of you would say that we all should think rational abt it+

• 
  . (@swordlaseryaoi) reported 30 minutes ago

  @LESBOYMiLLiPEDE @LiamPrice413 @Spooperthethird I used to use reddit a lot and theres was a time in the doawk subreddit people were making transfem greg(oria... terrible name)

• 
  Heath (@heathbuilds_) reported 31 minutes ago

  @NitinthisSide_ Reddit usually rewards the problem-solving post first, SaaS mention second.

• 
  John (@hello_code_) reported 31 minutes ago

  @uday_devops Reddit is the cheat code. If people are complaining about the problem in threads you didn't create, the demand is already there.

• 
  Apoorv Sharma | SEO and GEO for B2B SaaS (@apoorvshrm) reported 31 minutes ago

  5 things you have been told about AI search that are wrong. I have the data on all five, because we measured them. 1. "Get cited and you win" Being cited is not being recommended. Our data shows Google's AI names a shortlist of products, then cites a completely different set of sources underneath. You can be quoted as a reference and still watch it recommend 4 competitors in the same answer. Cited means useful. Recommended means chosen. They are two different games. 2. "Rank #1 on Google and the AI will pick you up" On the same query, only 35% of the sources Google's AI Overview cites also rank in Google's own top 10. 65% do not rank at all. You can be the number one blue link and be completely absent from the AI answer sitting directly above it. 3. "Just get on Reddit, that is where AI pulls from" True for ChatGPT. Wrong for Google. Google's AI cites Reddit in only 43 of 100 queries, while its own search ranks Reddit in 82. 4. "Publish more content and visibility follows" More content is not the lever. Distribution is. Across our benchmarks, the majority of what AI cites about a brand does not live on that brand's own site. In one line: You do not have a content problem, you have a content-that-only-exists-on-your-domain problem. 5. "AI search is one channel, optimize for it" There is no "it." ChatGPT, Claude, Google's AI, and Perplexity read different sources and reward different things. In our head-to-head, two engines recommended the same tools but shared almost none of the same sources. Optimizing for "AI search" as one thing is optimizing for an average that describes none of them. The pattern behind all five: people are applying old SEO instincts to a system that does not work like search. Ranking, citing, publishing, one-channel thinking. All of it made sense in 2020. All of it quietly breaks now. The uncomfortable part is that most of this advice is being sold with total confidence by people who have never measured any of it. Ask for the data. EVERY DAMN TIME.

• 
  Rohit (@rohitkasturi_) reported 35 minutes ago

  Marketing on Reddit requires you these: 1- Finding a thread where your problem statement is discussed. 2- Finding potential users in that thread 3- Engaging with them I built a Chrome extension to help you with 2 and 3.

• 
  KD6-3.7 (@bkp6908) reported 37 minutes ago

  @EliaMnt @NickJFuentes @more_amalek Reddit is down the hall and to the Left