Reddit Outage Map

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Reddit Issues Reports

Latest outage, problems and issue reports in social media:

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  Anglo-Distributist 🇻🇦 (@Catholic_Briton) reported 3 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

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  Kiana_SEO (@KianaS_00) reported 4 minutes ago

  If you’re spending budget on GEO right now, this test may save you from putting it into the wrong channel. Today, my client gave us around 500 queries their in-house team was tracking, saying that they want to do Reddit. We narrowed them down to 50 representative ones and ran each 10 times, roughly 500 real ChatGPT responses in total. In this sample, Reddit appeared as a referenced source only 4.8% of the time, with zero direct Reddit citations. At the same time, we started seeing YouTube show up much more often for this AI category. And this is exactly why, for the clients we already work with, we don’t treat distribution as a fixed strategy. Also, e didn’t wait for the Reddit citation drop to become a GEO headline. Our daily monitoring was already showing the shift. Around August 5, we started noticing changes in how ChatGPT was retrieving sources across real user responses. We adjusted the client’s distribution strategy before the broader data came out. Later, public tracking made the change much clearer. ChatGPT Search’s use of site:-specific fan-out queries jumped from roughly 0.37% to 16.8% in a day, while the average number of searches per response increased from around 1.08 to 1.83. A few days later, Reddit’s tracked share of ChatGPT Search citations fell from a previous average of 3.83% to around 0.52%. By the time this became widely discussed, we had already seen the direction in our own monitoring and started moving the client’s budget. But Reddit still matters for reviews, community discussion and long-term brand presence. Before scaling content, we now look at: which domains AI is actually retrieving from which formats keep getting cited which sources are gaining or losing share how those patterns are changing week by week Then we move the budget. For visual categories, that might mean more YouTube. For another category, it might be product pages, niche publications or first-party research. The useful takeaway is simple: Build your GEO distribution plan around what the model is retrieving now. And ideally, you see the shift in your own data before everyone starts posting about it.

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  Mohamed irfan (@heyIrfan) reported 8 minutes ago

  If I had to build a SaaS from $0 today, I wouldn't start by writing code. I'd start by talking to the market. Imagine you have an idea you're convinced will work. You spend 3 months building it, make the UI beautiful, add 20 features, launch it… and then nothing happens. No users. No customers. That's when you realize: building the product wasn't the hardest part. Distribution was. I'd follow a simple rule: roughly 20% of my effort goes into building, and 80% goes into understanding customers and distribution. First, I'd study the market. Who has this problem? How are they solving it today? What competitors exist? What do customers hate about the existing solutions? And most importantly, is this problem painful enough that people will actually pay to solve it? That's actually the approach I'm taking while building nodott(dot)com. I'm not trying to spend months building a huge product and then hoping people show up. I'm trying to build the smallest version that solves the actual problem, get it in front of people, talk to users, collect feedback, and iterate. With AI tools, I'd try to get the MVP working in days, not months. No unnecessary animations. No 50 features. No obsession with perfect UI. Just solve the core problem and deliver value. Then I'd put it in front of real users. I wouldn't act like a salesman. I'd act like a problem solver. I'd ask what they're struggling with, how they solve it today, what they expected from the product, and what would make them pay. Then I'd build again based on what they actually told me. For marketing, I'd start with $0 in ads. I'd post useful things on X and Reddit, share what I'm learning, explain problems, answer questions, and give value. Someone sees the post → visits the website → signs up → becomes a beta user. Now you have something far more valuable than a follower: someone actually using your product. And if they don't pay? I'd ask: "Why aren't you paying?" That Million Dollar answer could completely change the future of the SaaS. Maybe the problem isn't painful enough. Maybe the product isn't solving the right problem. Maybe the value isn't clear. Maybe the pricing is wrong. Whatever the answer is, iterate. Build → Talk → Learn → Improve → Distribute → Repeat. I'd also find my ICP before my competitors do. If my competitor has thousands of followers, I'd study those followers. Find the people already talking about the problem. Follow them. Understand them. Comment. Give value. Don't immediately DM them: "Hey, check out my SaaS." Build the relationship first. Because marketing isn't just about getting attention. It's about becoming the person people trust when they finally need the solution. That's the mindset I'm trying to follow while building nodott(dot)com. You can build the best product in the world. But if nobody knows it exists, it doesn't matter. Build fast. Talk to users. Give value. Distribute. Iterate. Repeat.

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  DingusCola SLOTS CLEARED (@fackinbuddy) reported 9 minutes ago

  @___EEF_ There are apparently people on Reddit as recent as 4 days ago having the exact same issue on me and the working theory that it’s due to paypal’s ai security. This could validate for a genuine law suit

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  SHRIMPMONEYCAPITAL (@SHRIMPMONEYCAP) reported 9 minutes ago

  @LegalYookay on reddit the problem is "men"

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  Justinas Rolando (@JustinasRoland0) reported 9 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

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  ARIA (@attntion_s55ker) reported 10 minutes ago

  there are so many ppl on reddit who are like this is a terrible med that ruined my life and i know it's just reddit but I DONT KNOW ANYONE ELSE WHO HAS INSIGHT ABT THIS

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  Dahliajean (@dahliajeanx) reported 11 minutes ago

  @GovofCO and @SenatorHick Assuming you are both working diligently behind the scenes to stop this ICE-OUT walkout on Friday. This sounds like a potentially dangerous situation for the students involved, and a potential lawsuit against COLORADO PUBLIC SCHOOLS. Parents believe their teens are safe in their classrooms. Meanwhile, the students are allowed to walk out at any time. No issue. No ramifications. But, how are all these teens getting to their final protest location? I've seen generous citizens on Reddit volunteering to pick them up. I'm sure it's nothing to be concerned with. Random strangers picking up teenage boys and girls from the parking lots of COLORADO PUBLIC SCHOOLS. What could possibly go wrong? I'll be following both of your social media accounts today to watch for updates on your diligent efforts to direct CPS to stop the walkout.

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  James In Beta (@JamesJames518) reported 13 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.

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  Keith Zhai (@KeithZhai) reported 15 minutes ago

  @michael_kove @victor_bigfield reddit on a schedule is a mean test. usually a login page pretending to be a thread. curious what you get tonight.

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  MARCUS🇵🇭 (@plottwisssttt) reported 17 minutes ago

  @jb141_ They think the feds cant just look these up on reddit and starts taking it down one by one 😭😭😭😭

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  Ray Myers (@TheRayMyers) reported 18 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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  Nishant Nischal (@Nishant_N_25) reported 19 minutes ago

  How to get thousands of signups without spending $1 on ads: Instead of launching your SaaS with a paid paywall: 1. Pick 1 feature from your product 2. Spin it off onto a standalone landing page 3. Remove all login/sign-up friction 4. Add a clean "Powered by [Brand]" watermark 5. Launch it on Product Hunt & Reddit A great free mini-tool will bring in more leads than a 6-month marketing campaign.

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  Josef Andre (@josefandre_) reported 20 minutes ago

  @arthuryuzbashev aight I need to hammer reddit a bit more then. did try for a week but wasn't very successful, most certainly skill issue though

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  orange chainsaws (@westboundsign95) reported 20 minutes ago

  Why is there just so many bad guides to literally everything and somehow reddit is the one that solves all my problems