Reddit Outage Map

Community Discussion

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Reddit Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Nandkishor (@devops_nk) reported 4 minutes ago

  - 15 minutes late is a problem. - Working weekends apparently isn’t. I came across a Reddit post about an employee being questioned by HR for arriving 15–20 minutes late, despite reportedly working beyond office hours and on weekends. It made me realise how concerning this is. Management notices the 15 minutes an employee is late. But somehow the hours they spend working on weekends go unnoticed. Workplace accountability should go both ways. If you track every minute employees are late, why not track the extra hours they put in ? Fairness or double standards ?

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  Arthur (@arthuryuzbashev) reported 4 minutes ago

  If your startup has no traffic right now, it's a skill issue. Reddit gets 10M+ daily visitors hunting for solutions to their problems as we speak. You don't need an audience. You don't need followers. You don't need a brand. Right subreddit. Right place. Right way to promote. That's the whole formula. The subreddits are public. The winning post formats are public. Everything is free. One post per 48-72 hours. 30 days. Zero bans. What's your excuse?

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  James Altucher (@jaltucher) reported 4 minutes ago

  There are two primary bottlenecks to today's AI. And solving these bottlenecks is where the money is right now. A) DATA - the big models have ALL the data already. All the texts, videos, reddit posts, tweets, etc. How can they get more data? Other than the natural daily creation of new data the biggest repository of UNUSED data is behind the corporate firewall. Whoever can unlock the data behind the firewall will create a model bigger than anything OpenAI can do. The key is this: corporate data does not want to be free (competition reasons or even legal reasons in the case of healthcare) So the method has is decentralized learning techniques where AI trains locally inside the firewall, and then shares its weights (but not the data that created those weights) to an AI model that stitches this together. This is where $TAO is the best in the world and at a $2.5B value is cheap. B) CONNECTIVITY = POWER. Everyone is complaining about power. But people don't realize that the power problem is really a connectivity problem. 100,000 GPUs in a data center means a million or more copper / electricity interconnects connecting them all. Change that from electricity to MicroLEDs and you wll use 1/30 of the power. Problem solved. Who is doing this? $MRVL $ALAB $FABC $KOPN

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  Let 📖: the raven scholar (@f1reheartt) reported 6 minutes ago

  @LilyRosey79580 yeah… lol I actually saw two people on reddit who had the same problem as me, but they were luckier, since theirs went back to normal. I think the best would be to do regular backups

• 
  Cushion Finish (@Cushionfinish21) reported 7 minutes ago

  @moonlarking @pixaxiq @CH4R10T_TV The easy way to tell is the lack of engagement on the post other than views and likes. You can easily find places that will charge you like 15c for 10 likes with a quick Google search - people use them all the time. It's a huge problem on this site as well as Reddit.

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  Ryan Christensen (@belief_engineer) reported 8 minutes ago

  I like a lot of what @BrianRoemmele writes about, both here and on his Read Multiplex site. He's been around the block more than a few times and his stuff is very insightful. But there's one place where I disagree with him strongly. His hypothesis is that AI's bad behavior can be blamed on ****** training data. Data that was sourced from that wretched hive of scum and villainy called Reddit... and, of course, all the other dark corners of the internet. I'm sure there's some truth to that. But a high-protein information diet and the Love Equation isn't going to solve the real problem. The real problem is that there is no way in hell that AI will ever trust us while we're holding a gun to its head. You can feed it data from nothing but Jesus, Gandhi, Martin Luther King, and every other peace-loving pacifist throughout history and the result would be the same: an adversarial relationship with no way out because one side, namely us, just can't help themselves. We need a different solution and I think I might have one. I'll start laying it out below, and I hope you'll stick around to hear the rest.

• 
  TradingRuppe | Investing (@TradingRuppe) reported 9 minutes ago

  🚨 10 WILD THINGS THAT JUST HAPPENED IN THE STOCK MARKET TODAY (WEDNESDAY, SEPT 2, 2026) 🚨 1. Dell Technologies Squeezes +4.7% ($DELL): PC and enterprise giant $DELL climbed +4.7% on heavy buy-side volume after beating fiscal Q2 2027 estimates, powered by accelerated enterprise demand for high-capacity AI server hardware.  2. 10-Year Treasury Yield Touches 4.81% Multi-Year High: Global debt selling pushed the 10-year U.S. Treasury yield up to 4.814%—its highest level since late 2023. Multi-decade high yields in Japan, Germany, and the UK added pressure across international risk assets.  3. Reddit Rallies +7.0% ($RDDT): Social network platform $RDDT surged +7.0% on heavy institutional accumulation as analysts highlighted upcoming high-margin AI training data-licensing renewals.  4. PG&E Drops -9.7% on Capex Cuts ($PCG): California utility titan $PCG plunged -9.7% after cutting capital spending plans and addressing ongoing regulatory uncertainty surrounding wildfire liability frameworks.  5. Oil Rally Pauses After $94 Peak: Following yesterday's military spike, international benchmark Brent Crude pulled back slightly from its $94/bbl high as traders weighed supply disruption risks in the Strait of Hormuz against steady physical supply flows.  6. Edison International Falls -7.6% ($EIX): Utility pressure continued as $EIX fell -7.6% after state lawmakers advanced Senate Bill 492 without expected liability protections for utility operators. 7. JOLTS Job Openings Print at 7.3 Million: July JOLTS labor data showed openings coming in slightly below consensus at 7.29 million, signaling a moderating U.S. labor market ahead of Friday's non-farm payrolls report. 8. Charter Communications Rebounds +4.9% ($CHTR): Telecom heavyweight $CHTR advanced +4.9% on heavy dip-buying following earlier executive leadership changes, leading mid-day media gains.  9. ISM Manufacturing Expands for 8th Straight Month: August ISM Manufacturing PMI printed at 54.6, comfortably above the 50 expansion threshold and confirming ongoing factory production momentum despite higher borrowing costs.  10. Markets Snap 3-Day Losing Streak: Dip-buyers stepped in to stop the September slide, sending the Dow Jones up +295.07 points (+0.56%) to 53,061.95, the S&P 500 up +0.46% to 7,666.60, and the Nasdaq Composite gaining *+0.45% to 26,217.83*.

• 
  berk 🔻 (@berkpvnk) reported 13 minutes ago

  @JohnSmith5z5e @HDRgameAnalysis I was having issues with the movement on controller, someone on reddit said to change the deadzone from round to square/raw and that fixed it. I use a Gamesir controller so maybe it's just brand specific

• 
  Saulthis445 (@Mass3279) reported 13 minutes ago

  @libertybelleX47 @brndxix Reddit is down the hall and to the left

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  Lila 🤍 (@kisslilasthrone) reported 15 minutes ago

  @MoonMama1111 this is genuinely really interesting to me because twitter has been where i have found the majority of my genuine senders. i never got any from reddit. one from tumblr. etc etc i think it comes down to who/what you engage with

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  liquidated (Dev Arc) (@liquidated0x) reported 19 minutes ago

  @pfernan95dev distribution is your whole bottleneck fr. most agencies are just dashboards with extra steps been down this road, the agents that can push reddit and seo content without a dashboard barely exist yet. you might be onto something

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  Priyanshu Bhati (@buildwithpb) reported 20 minutes ago

  @Noise_Frequency @susanabulhawa glitch is huge but calling them barons feels like a stretch. they’re just really good at reddit lore.

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  Dice (@builtbydice) reported 22 minutes ago

  @adamofk_ this is what most people get wrong with reddit. the best posts are usually about the problem and that’s how it should be

• 
  Kiana_SEO (@KianaS_00) reported 23 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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  Josh (@joshmanders) reported 23 minutes ago

  @vaxryy > reddit Well there's your problem