Reddit Outage Map
The map below depicts the most recent cities worldwide where Reddit users have reported problems and outages. If you are having an issue with Reddit, make sure to submit a report below
The heatmap above shows where the most recent user-submitted and social media reports are geographically clustered. The density of these reports is depicted by the color scale as shown below.
Reddit users affected:
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.
Most Affected Locations
Outage reports and issues in the past 15 days originated from:
| Location | Reports |
|---|---|
| San Nicolás de los Garza, NLE | 1 |
| Ciudad Obregón, SON | 1 |
| Hyderabad, TG | 1 |
| Melbourne, VIC | 1 |
| Stuttgart, Baden-Württemberg | 1 |
| Bengaluru, KA | 1 |
| Paris, Île-de-France | 2 |
| Gustavo Adolfo Madero, CDMX | 1 |
| Nagpur, MH | 1 |
| Chhindwāra, MP | 2 |
| Douai, Hauts-de-France | 1 |
| Olathe, KS | 1 |
| Da Nang, Da Nang | 1 |
| Puteaux, Île-de-France | 1 |
| New Delhi, NCT | 1 |
| Vigo, Galicia | 1 |
| Phoenix, AZ | 1 |
| Lima, Lima | 1 |
| Indio, CA | 1 |
| Rosenau, ACAL | 1 |
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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Ricky Spanish (@jibbs_mcge76431) reported@JonahDispatch See that’s your problem, you expect ideological consistency from @jdvance then your are wrong. If Mandani is the mayor of Reddit. Jd is the VP of twitter.
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Bloody Hare Studio (@BloodyHareST) reported@Hot_Takes10 @KevinProLiX this app has zero discovery compared to all the others. that is the real problem. further to that, comment sections on here are mostly worthless compared to reddit. both structural issues
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ChadOfDuty (@CODPersonal) reported@TheCutthroatGuy Update: COD CM replied on the Reddit thread that the problem causing this has been identified and they are targeting a fix for S5 Reloaded.
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Rasty Turek (@synopsi) reportedThe reason is quite simple: the experience was absolutely terrible, same with Reddit. You will get mocked, yelled at for now knowing rules, etc It became the last resort and people only went there if they truly had no other choice.
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Michael Gogel (@mgogel) reportedThis transition also changes the sociology of AI. During the first period of mass generative adoption, identifying something as AI-generated could increase its novelty. As generation became commonplace, that relationship began to reverse. Synthetic content acquired negative associations with low effort, repetition, impersonality, deception, automation, and what is increasingly described as “AI slop.” The economic incentive therefore changed. Creators once had reasons to advertise their use of artificial intelligence. Increasingly, they may have reasons to conceal it, minimize it, or use AI only where its contribution cannot easily be detected. The disappearance of visible artificial intelligence may therefore be partly a consequence of artificial intelligence becoming socially ordinary. At the same time, the systems responsible for distributing media have become increasingly synthetic themselves. Recommendation engines determine which artifacts become visible. Automated moderation systems classify them. Machine-learning systems rank them. AI increasingly participates not only in producing cultural objects, but in deciding which cultural objects humans encounter. This creates a second problem. When an individual reports, “I no longer see AI-generated content,” that observation does not necessarily describe the content available on the platform. It describes the interaction between the available content, the recommendation system, the individual’s behavioral history, platform policy, cultural preferences, labeling systems, moderation practices, and an evolving ability to recognize synthetic production. The feed is therefore not a transparent sample of culture. It is an algorithmically constructed environment. This distinction is critical. A decline in observed AI content could result from at least four different processes occurring simultaneously. There could be an actual reduction in explicitly synthetic posting. Platforms could be reducing the distribution of material classified as low-quality AI content. Users could be concealing their use of AI. Most importantly, improvements in generative systems could simply make machine involvement increasingly difficult to perceive. The last possibility creates a profound measurement problem. The better generative artificial intelligence becomes, the worse human beings may become at estimating its prevalence through observation. In other words, apparent scarcity may eventually become evidence of technological maturity rather than technological absence. This produces what I call the Visibility Inversion Hypothesis. During the early adoption of generative technology, technological prevalence and technological visibility rise together. More people use AI, therefore more AI becomes visible. After a threshold of normalization, however, the relationship reverses. AI continues becoming more prevalent while its recognizable presence declines because the technology improves, becomes embedded within other tools, loses novelty, and increasingly operates upstream from the final artifact. The resulting curve is not extinction. It is assimilation. This hypothesis can be tested. A rigorous study could create longitudinal samples of public posts from X, Threads, Instagram, Bluesky, LinkedIn, TikTok, Reddit, and other platforms between 2022 and the present. Content could be classified according to disclosed AI use, detectable synthetic characteristics, platform labels, metadata where available, stylistic indicators, and mixed human-machine production. Surveys could separately measure whether ordinary users perceive the same artifacts as artificial. Recommendation-system exposure could be tested using controlled accounts with different behavioral profiles. Such a study could distinguish three variables that are frequently conflated: the actual prevalence of AI involvement, the visible prevalence of AI involvement, and the perceived prevalence of AI involvement.
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Sam Malcolm (@Sam_Malcolm24) reportedDont you love making a discussion post in a subreddit for diversions of thay speific topic then a mod removes it for no reason. I vented about problems I have had with arma 3 units and some mod told me to go find a unit if I want to find a unit @Reddit
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ㅅ misses enha :( (@yang_helium) reported@yunhvlic I think it’s mostly a stan twt problem. I rarely see this issue on Reddit lol
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Shreesha Mallatheru (@shreemallatheru) reported@TorqueIndia @ferrarirules86 Over the past few weeks, I’ve been looking through ownership groups, social media, and forums like Reddit for gearbox-related issues, and the perception is definitely doing damage like Tata's DCA is unreliable. They need to do something with that.
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David Mansaray 👨🏾💻 (@DavidMansaray) reported@levelsio I think these are valid concerns, but I’m not sure the biggest problem is eventually running out of new training data. The deeper problem might be that we’re polluting the places where useful new information gets created. you now ask an AI which action camera to buy instead of searching Reddit yourself. But the AI’s answer is still often heavily influenced by places like Reddit, forums, reviews and other human-generated sources. So as communities become flooded with AI-generated replies and promotional slop, AI eventually starts consuming degraded information too. I think that means the solution has to happen at two levels. - AI systems need to get much better at identifying and prioritising original, trustworthy, first-hand sources. - Platforms like Reddit need much better tools and incentives for protecting human-generated content and giving more weight to people with genuine experience. Similar to how X is changing its incentives to favour original content, community platforms probably need their own version of that. people are going to keep asking AI instead of manually searching through websites. So I don’t think the answer is simply finding another source of training data. WE need to make sure the content AI uses when providing answers is worth learning from.
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Christopher Birnbaum - Story Artist (@ScribbleAddict) reported@9RJP6 X seems like it's acting strange today. I got logged out randomly and had to pass a security test. Another friend had a similar problem. Then it showed my account following no one, which isn't true. Reddit randomly logged me out too. I assume this will has to do with AI.
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Coach Zeke (@ZekeWhere) reportedI'm tired of the answer being bitching on twitter or reddit and trying to make the post get more traction let's try and solve the problems together and actually talk like adults and give respect on both sides instead of hate farming :)
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gods least favorite princess (@t0tallycupid) reportedapparently the apartment i managed to get is in a rough area of southside chi and reddit says either "eh it can be run down, make sure to watch yourself and you should be fine" or "its so scary!! you could die!!" like okay. so. yuppies are spooked, and i'll prolly be fine?
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John (@hello_code_) reported@TheSpacerr Distribution, because sales without it is just begging. I built Subreddit Signals around this exact problem, finding customers where they're already talking about their pain on Reddit.
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Bryan Ng (@boomerrbryan) reportedA kid with no license, no degree & no clients is about to have a better tax season than every CPA in America & the CPAs wrote his material for him... The character is called Peter Reynolds. He explains tax law through fictional stories... the retired teacher who nearly lost her whole retirement to one filing mistake. 20 videos. 37,000 subscribers. 1.8 million views in 90 days, averaging 90,845 per video. $12,000 a month by month 3 & climbing Peter Reynolds does not exist. The kid who runs him found real CPAs writing 2,000-word breakdowns on Reddit for karma points, wrapped their advice in stories & let an AI character deliver it The CPA who wrote the original thread is still praying for referrals Here's why the fake beats the real, & it's fixable in a weekend: 1 - People pay for stories, not lectures. Peter tells you about a person who almost lost money. Real professionals explain rules like they're defending a dissertation. The CPA knows more than Peter ever will. The packaging decides who gets rich 2 - The fix isn't becoming a storyteller. It's delegating it. Drop your voice memo into Subscribr & pick the educational template... the structure that's already pulled 10m+ views... & it wraps YOUR expertise in the exact narrative structure Peter uses. Your knowledge, his packaging, one afternoon 3 - Answer the context questions it asks like you'd answer a client. That 5 minutes of your actual experience is the one input no Reddit-mining kid can counterfeit 4 - Close with the thing Peter legally can't say: "this is general education, for your specific situation call a licensed professional. That's us." Every viewer in your state mid-tax-panic becomes a booked consult If you have real expertise & you're giving it away in comment sections, you are unpaid staff for a 22 year old's content farm Package it yourself or keep donating Link in bio for the machine that does the packaging
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InvestmentGuru (@InvestmentGuru_) reported$RDDT beat and got punished — but the underlying numbers still tell a bullish story. Revenue rose 61% YoY to $805M, marking the 8th straight quarter of 60%+ growth, with advertising revenue up 64% and Reddit Max advertiser count growing over 60% sequentially. Adjusted EBITDA margin hit 43%, operating cash flow doubled YoY, and the company crossed $1M revenue per employee. Guidance for Q3 also came in above Street estimates on both revenue and EBITDA. The stock got hit hard (down over 20% since the print) on “choppy” search referral traffic and softer US DAU trends — a real concern worth watching — but the ad engine, monetization tools, and margin expansion are firing on all cylinders even as the market focuses on user-growth noise. Not financial advice.