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 |
|---|---|
| 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 |
| Pélissanne, Provence-Alpes-Côte d'Azur | 1 |
| Adelaide, SA | 1 |
| Brisbane, QLD | 1 |
| Bengaluru, KA | 2 |
| Dhaka, Dhaka | 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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Richard Valdez (@RealRichardVald) reported@desert_starr_57 I saw a video of somebody breaking down a paid video from nebula with Ninja about being a streamer. It was the most bare bone basic advice that would take you 5 minutes to look up on Reddit. You either need connections, or luck, time, & talent. A degree in that it's worthless
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arielle (@iminvenicebitch) reportedtfw i try reach out for help on reddit but mods take down my posts, no one views this **** on x, and i’m sweating in a house alone
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WykedCrafter (@Wyked_Dreamer) reported@AlexGlitter7 Is she really so slow that she doesn't realize the sh1t she's leaving on reddit is the Farms on steroids?
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Kracked Devs (@KrackedDevs) reportedA cutting edge Qualcomm robotics demo turned into a viral faceplant, showing how far humanoid robots still have to go in the real world. At Computex 2026 in Taipei, Qualcomm showed its Dragonwing IQ10 robotics platform, which can deliver roughly 700 TOPS of AI compute for robots. As the presenter said the hardware was ready, the humanoid robot beside him suddenly tipped forward and smashed face down on the stage. The incident highlights a key gap: chips and AI software are extremely powerful, but stable walking, balance, and reliable mechanics are still very hard to get right. Staff rushed in and dragged the robot away while the presenter tried to continue, and clips of the collapse quickly spread across X, LinkedIn, Instagram, and Reddit.
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Northern Apostate (@apostate22104) reported@RichardERoeper I suggest you remove this and offer an apology in retraction. It's a post by some random Reddit user. You're trying to double down by saying, well all the replies sound like his usual user base. Not a good look.
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Jonashappened (@Drinkenstjaerna) reported@CODUpdates @RavenSoftware Why don’t you take a random group of players, make a survey, collect data, search Reddit and X for opinions and fix the best hacker for cheats and start doing what your customers want? This is beyond me and everybody else. You have a good product, make it great!
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jmax (@jmacgarth) reportedApparently when I wasn't looking Reddit became massively profitable and in fact is not at risk of going down. Though I also read it is maybe just because they are selling all their data to AI
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Henriette (@HenrietteM0131) reportedHey @GeminiApp, seeing widespread "Error 1076" on both Web and App (already cleared cache). Old chats are locked, and new chats fail after ~10 turns. Many users on Reddit reporting the same issue. Please look into this! @GoogleDeepMind @joshwoodward #GeminiBug
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aktress (@aktresses) reported@florscnt idk how to fix ur problem but u should make a post on reddit like buildapc or pcmasterrace. so many ppl there love figuring this kinda stuff out
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sunny ☀️ (@sunny_5_7) reported@JournoMaddie If it’s on reddit won’t they just take it down if they mention race explicitly?
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JessieBeatz (@JessieBeatzz) reported@montymiff @cbcwatcher @grok Thats fine, as long we cross reference A.I. with actual article and sources. When the “sources” turn out to be facebook and reddit with nothing of substance, thats when its a problem.
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CyricZ - The Dragon of GameFAQs (@CyricZ42) reported@lolsia_ponsia @TorenTYlfa So what's your issue with that Reddit post exactly?
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Macro Alpha (@MacroAlphaHQ) reportedRetail is still pricing $RDDT like the Google check is destiny. Sixty million a year sounds fat until you stack it against a $32.5 billion market cap. That is the whole AI licensing story they are defending right now, and the stock just ate an 8.3% day on July 22 when the restriction talk hit. I keep coming back to the traffic piece though. Google answers the question in the box so nobody clicks through. Reddit wants more money for the same dump of human threads, Google can just train less hard on it or route around. Both sides bleed a little. The deal from 2024 is up for renewal and nobody has a clean win. Down 26% YTD and almost 40% off the $282.95 high. The 52-week print still shows a green 15% so the bagholders keep saying patience. My read: this ends with a smaller check or a colder relationship, not a victory lap. Licensing is high margin until the other side decides your content is replaceable. Sixty million does not buy the narrative. Watch the next print after they talk again. If referral traffic keeps sliding the ad side pays for the leverage play.
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inryo (@Ripjuicewrld77) reported@swaguley I’m seriously curious did you find David from Reddit? This is a Reddit tier problem to have with the game
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Ricky Ho (@rickyho_1989) reportedThe most surprising thing about this chart is not that the average retail investor is down nearly 13% in a year when many headline indices have performed reasonably well. The surprising part is that this pattern repeats itself across almost every major market cycle. Retail investors do not lose money because they lack intelligence. They lose money because they systematically buy narratives instead of cash flows, momentum instead of valuation and excitement instead of probabilities. That is why the average portfolio often bears little resemblance to the index. Market-cap weighted indices naturally allocate more capital toward companies whose earnings and market values continue growing. Retail portfolios, however, are often concentrated in whatever is trending on social media, discussed on Reddit, promoted by influencers or viewed as "the next NVIDIA." The result is that retail investors frequently end up owning the most crowded trades at the richest valuations. Ironically, the stocks people are most excited to buy are often the ones that already embed the highest expectations. Another structural problem is concentration. Many retail investors own five to ten individual stocks that they believe have the potential to become the next ten-bagger. Unfortunately, the probability distribution works against them. Even if one position performs exceptionally well, one or two catastrophic losers can overwhelm the gains because high-beta portfolios compound losses much faster than diversified portfolios compound gains. Behavioral finance also plays an enormous role. Professional investors typically begin with a valuation framework and then determine whether expectations are too optimistic or too pessimistic. Retail investors frequently reverse that process. They fall in love with a story first and only afterwards look for reasons to justify the investment. Confirmation bias then reinforces every bullish headline while dismissing evidence that contradicts the original thesis. There is also a timing problem that receives far less attention. Retail investors tend to buy after strong performance because rising prices create confidence and social validation. Conversely, they often sell after significant declines because losses create fear. In other words, they systematically buy when expected returns have fallen and sell when expected returns have improved. This behavior creates a negative feedback loop. The better a stock performs, the more capital retail investors allocate toward it. The worse it performs, the more likely they are to capitulate near the bottom. Professional investors attempt to exploit precisely this behavioral asymmetry. There is another lesson hidden in this chart. The average retail portfolio is not necessarily a reflection of the average company. It is a reflection of the average stock selection process. If investors disproportionately chase speculative software companies, unprofitable AI names, meme stocks, leveraged ETFs or fashionable themes while underweighting profitable compounders with durable earnings growth, it is entirely possible to lose money despite a healthy broader market. This is one reason why investing is often counterintuitive. The objective is not to buy the company everyone is talking about. The objective is to buy the company whose future is better than what the market has already priced in. Ultimately, the market is an expectations machine rather than a popularity contest. Great companies can produce poor investment returns if expectations become unrealistic, while boring companies can generate exceptional returns if expectations are excessively pessimistic. The average retail investor often confuses a good business with a good investment, and that distinction has probably destroyed more wealth than almost any other mistake in investing.