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Reddit Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Chinmay Sawant (@chinmay_sawant_) reported 33 seconds ago

  @MikyStega64681 @opencode Nah bro provider had multiple issues, I saw the reports on X only and on reddit as well ! I tried with my own custom harness, GPT luna was working fine as hell, This model only had issue

• 
  Hamburger (@HeavensLance) reported 2 minutes ago

  @JonSlayton @Awk20000 It's a similar problem with Reddit where a lot of ppl recognize the problems and still use it. Only thing to stop Twitch will be Twitch itself, as Amazon is doing **** all and there doesn't seem to be significant litigation to make them do anything.

• 
  Om Patel (@om_patel5) reported 5 minutes ago

  i aggressively stalk my competitors using HEADLESS ai agent orchestrations competitor complaint → written dm stealing them as a customer in minutes connected this mcp to claude in 30 seconds its split into 9 agents: 1\ i tell claude who to watch, this agent sets up every monitor itself 2\ scrapes every review site there is (g2, trustpilot, trustradius, capterra, etc) 3\ tracks individual pages too, changelogs, pricing, blogs, specific features, anything (sets its own frequency, hour, day, week) 4\ stalks every reddit mention, so i see complaints as they get posted 5\ snapshots every change the day it happens and feeds it into the next agent 6\ groups the reviews into complaint themes, feature gaps and switching signals 7\ pulls the feature requests out and hands them to claude code to build and push to **** 8\ finds the switch ready leads, the people actively complaining about a competitor right now 9\ drafts the dm in my voice quoting their own comment, and sends it if people love a competitors feature, i steal it. if people hate something, i fix it and take the customer theres a dashboard connected too, so everything the agents do shows up there in real time if you want to check on them every single step above is an agent. i do NOTHING. ALL HANDS OFF

• 
  FascinatingAndFrighteningTech (@masterofthegate) reported 7 minutes ago

  What’s your # of ROLLS per day? For people interested in making AI movies, if you make 1 successful 15-second clip for your movie per day over the course of 365 days, that’s about ~90 mins. The length of a feature-length movie. 2 clips a day = 6 months. 5 clips a day = ~2.5 months. 10 clips a day = a little over a month. 30 clips a day = 12 days. 60 clips a day = 6 days. 180 clips a day = 2 days. 360 clips a day = 1 day. —— The most feasible range, assuming you have a story or script, is around 0.33–10 a day on average, so you can take time to carefully consider the quality of the clips. That’s a movie in a little over a month to 3 years. So basically, ANYONE with persistence can make a feature-length movie now with the help of AI—for aiding you with learning how to write a story and a script from that story, and generating the clips for you. There are AIs that can also edit the video together for you now as well. The audio in the clips is already essentially mastered, so some simple balancing by ear should suffice, which AI could probably level-match clips automatically for you now. And an AI could probably also color balance/color grade for you as well if you just ask… —— The question, then, is: How do you reduce the amount of “rolls” you have to give a prompt in order to arrive at the final clip for your movie—the quality clip that represents that part of your story? For example, answer this: Can you make 1 successful clip a day in just 8 tries? 4 tries? 2 tries? This matters because the lower amount of tries, aka “rolls,” you give a prompt, the less time and money is needed to make the movie per day that you are making the movie. Good storytelling. Learn to tell good stories. It’s the root of everything. Better storytelling should also work with the model you are using. In other words, models have different strengths, so writing stories that will work better with them will save a lot of hassle. For example, a model good at static shots may work better for drama than action. And a model that has darker aesthetics and is good with movement may work better for horror action movie. And so on… 3a. Better prompting. VERY important. Understand how the model you’re using best takes prompts and satisfy the format. 3b. Take time to test and experiment before you jump into serious generating. Once you test enough, you will have a better feel for how to best prompt and lower the quantity of rolls finding a keeper takes. It will save you a lot of time later if you take some time in the beginning to learn about and familiarize yourself with the model you’re using. 3c. Also make sure you are using good settings and not wasting your time; talk to AI and have it read the docs of the model in question, research relevant discussions on Reddit and X and forums, etc., and give you advice on the best settings after considering those things. 3d. Set up your prompts beforehand formatted for the model you’re using and make sure there’s no typos or details that are vague which you don’t want to be vague or details left out which you could have added—vagueness, if it exists, should be intentional, not because you are being lazy and just hoping the AI will read your mind and get it how you want it to be… Image and references to video is great when you want better quality control over the image, scene, and the overall story and feel. Text-to-video is nice for letting the AI come up with things for you. Careful with audio quality: faster turbo models often degrade audio quality. So the video may look good, but you’ll never be able to fix that poor audio glitch at the 7th second of the clip… — Minimax H3 is arguably the first local model you can create pro videos with locally. And even with a cheap rig you can probably fire off at least 2-8 clips per day. So people can now make feature length films with their laptops for VERY cheap (sub 5k dollars or even sub 1k or 500 dollars or maybe less). And fast. WILD. #AIart #VR

• 
  Conotocaurious (@Conotocaurious1) reported 9 minutes ago

  entire crowd of reddit mods, remember that next time one of them tries to talk down to you

• 
  Montecito 🍉 (@Nouveau_Camelot) reported 10 minutes ago

  @psavannahhh We are well past that point. The reddit crazies don’t even realize how obvious and broken they are.

• 
  Ian (@Ian_cadle) reported 11 minutes ago

  @buraknevruzoglu @DannyLimanseta Try the aigamedev sub Reddit they've been good to me 👍 redditers are very harsh and picky unless you go down the ai subreddits to show them what you've built

• 
  Jason Kirby (@JasonKirby) reported 13 minutes ago

  "Wait two years, grow 30%, get a better multiple." Worst advice a founder with a real LOI can receive. I watched a founder this week on Reddit sit with a $20M offer and get talked out of it. The comments were all the same. "Wait two years." "Grow into a better multiple." Nobody who's closed one of these talks like this. Nobody asked about the buyer pool shifting. Or whether this founder can actually execute 30% growth. Or if a second LOI even shows up. Private SaaS M&A multiples right now sit at a median 3.4x revenue. That number has a wide band, 4x to 9x ARR depending on growth profile and buyer category. Most founders don't know how to position themselves inside that band. They just hear "multiples are compressed" and assume waiting fixes it. That's not how it works. Waiting doesn't fix buyer concentration. A $15M ARR company has a different buyer pool than a $25M ARR company. Strategic acquirers care about integration complexity. Financial buyers care about margin leverage. The assumption that "growing into a better deal" is linear ignores what actually makes a company attractive to different check sizes. And execution risk. That's the part everyone skips. You don't just grow 30% because you decided to. You grow 30% if the market cooperates, if your team doesn't burn out, if churn stays flat, if you don't lose a key customer. Every quarter you delay the exit is a quarter you're betting you can deliver the plan. A real offer on the table is not a ceiling. It's information. It tells you what the market thinks your company is worth today, with today's financials, in today's buyer environment. You can always say no. But saying no because Reddit told you to "just wait" is how founders end up two years later with no offer and a burned-out team. If you have an LOI right now, ask yourself: can you materially change your buyer pool in 18 months? Or are you waiting because you hope the market improves?

• 
  Oh, geez. (@alcal74) reported 15 minutes ago

  @JackPosobiec Reddit saw a 90% reduction in server demand during this event.

• 
  Ecom Table (@EcomTable) reported 16 minutes ago

  Here is a native format that always performs. The image doesn't look like an ad, so the audience's guard immediately drops. It blends into the feed because it resembles everyday content that people are already used to seeing. The language ("guys I need help") is yet another authentic layer. By asking a question instead of offering a solution, it creates an open loop that naturally leads people into the native ad to discover what happened next. Structure: 1. Use/ generate a candid, phone-quality image that looks genuinely authentic. 2. Lead with a personal problem or request for help. 3. Show visible proof of the problem in the image. 4. Write like a real social media post, not an advert. Leave the solution unanswered so the reader continues into the native ad. The same way you read reddit posts looking for new avatars is the same way your audience read the same forums looking for answers. Test it out

• 
  FascinatingAndFrighteningTech (@masterofthegate) reported 17 minutes ago

  What’s your # of ROLLS per day? For people interested in making AI movies, if you make 1 successful 15-second clip for your movie per day over the course of 365 days, that’s about ~90 mins. The length of a feature-length movie. 2 clips a day = 6 months. 5 clips a day = ~2.5 months. 10 clips a day = a little over a month. 30 clips a day = 12 days. 60 clips a day = 6 days. 180 clips a day = 2 days. 360 clips a day = 1 day. —— The most feasible range, assuming you have a story or script, is around 0.33–10 a day on average, so you can take time to carefully consider the quality of the clips. That’s a movie in a little over a month to 3 years. So basically, ANYONE with persistence can make a feature-length movie now with the help of AI—for aiding you with learning how to write a story and a script from that story, and generating the clips for you. There are AIs that can also edit the video together for you now as well. The audio in the clips is already essentially mastered, so some simple balancing by ear should suffice, which AI could probably level-match clips automatically for you now. And an AI could probably also color balance/color grade for you as well if you just ask… —— The question, then, is: How do you reduce the amount of “rolls” you have to give a prompt in order to arrive at the final clip for your movie—the quality clip that represents that part of your story? For example, answer this: Can you make 1 successful clip a day in just 8 tries? 4 tries? 2 tries? This matters because the lower amount of tries, aka “rolls,” you give a prompt, the less time and money is needed to make the movie per day that you are making the movie. 1.Good storytelling. Learn to tell good stories - the root of everything. 2.Your stories should work well with the model you are using. In other words, models have different strengths, so writing stories that will work better with them will save a lot of hassle. For example, a model good at static shots may work better for drama than action. And a model that has darker aesthetics and is good with movement may work better for horror action movie. And so on… 3a. Better prompting. VERY important. Understand how the model you’re using best takes prompts and satisfy the format. 3b. Take time to test and experiment before you jump into serious generating. Once you test enough, you will have a better feel for how to best prompt and lower the quantity of rolls finding a keeper takes. It will save you a lot of time later if you take some time in the beginning to learn about and familiarize yourself with the model you’re using. 3c. Also make sure you are using good settings and not wasting your time; talk to AI and have it read the docs of the model in question, research relevant discussions on Reddit and X and forums, etc., and give you advice on the best settings after considering those things. 3d. Set up your prompts beforehand formatted for the model you’re using and make sure there’s no typos or details that are vague which you don’t want to be vague or details left out which you could have added—vagueness, if it exists, should be intentional, not because you are being lazy and just hoping the AI will read your mind and get it how you want it to be… 4.Image and references to video is great when you want better quality control over the image, scene, and the overall story and feel. Text-to-video is nice for letting the AI come up with things for you. 5.Careful with audio quality: faster turbo models often degrade audio quality. So the video may look good, but you’ll never be able to fix that poor audio glitch at the 7th second of the clip… — Minimax H3 is arguably the first local model you can create pro videos with locally. And even with a cheap rig you can probably fire off at least 2-8 clips per day. So people can now make feature length films with their laptops for VERY cheap (sub 5k dollars or even sub 1k or 500 dollars or maybe less). And fast. WILD. #AIart #VR

• 
  Illidank (@Illid4nk) reported 23 minutes ago

  @Sorenova Youtube and Reddit are also steadily becoming worse, one update at the time. Terrible new ui, baffeling "features" harsher content moderation to protect "children" It really kinda aches seeing the pace at which the internet and all of it sites are just transforming into ****

• 
  poomonky7 (@PooMonke) reported 23 minutes ago

  @needMarpe If reddit gets deleted I wont be able to find a deleted solution to a specific problem I have

• 
  🇵🇸 nope (@nnnnnnxox) reported 27 minutes ago

  @mawju5 @Jameela50469981 I told her to never let ne accidenta meet them, because its the reddit archtype down to the. Ofc MOC are also extremely likely to echo rw points but usually around white men

• 
  Staida (@Staida) reported 29 minutes ago

  @MoronMining I remember all the reddit moles projecting that she was supposed to be his love interest. I was like, maybe tone that down. We already know but don’t just go around announcing your degeneracy.