AOL outages and service status in Congleton, England

Problems in the last 24 hours in Congleton, England

The chart below shows the number of AOL reports we have received in the last 24 hours from users in Congleton, England and surrounding areas. An outage is declared when the number of reports exceeds the baseline, represented by the red line.

Community Discussion

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AOL Issues Reports Near Congleton, England

Latest outage, problems and issue reports in Congleton and nearby locations:

• 
  Daniel JB (@Danjblake68) reported 12 minutes ago from Holmes Chapel, England

  @AOLSupportHelp is the WiFi down currently?

AOL Issues Reports

Latest outage, problems and issue reports in social media:

• 
  twicemeles (@twicemeles) reported 4 minutes ago

  @Owliellder Only one I never witnessed as AOL. I wasn't allowed. I am creaking.

• 
  Brian Roemmele (@BrianRoemmele) reported 8 minutes ago

  LISTSERV Was The Place To Be In 1993! Just after dial up BBSs and just before USENET my X-like place where I went “viral” was LISTSERV. I was on over 1000 active lists. I of course was on forums on CompuServe and AOL, but LISTERV was push and not pull. It was magic! I would write there like I posted here today. There was zero spam and the highest IQs in the world just a list email away. In my Eudora archives (the best email client ever made) I have saved the results of all my lists saved. Before my tape find, I was happy I saved the Eudora in zipped PKG files. One LISTSERV I was on had 1000s of subscribers and it is where I learned of so many things months before it was news. In the 1990s I wrote the first known AI (expert system) for email, to produce a morning “Newspaper” digest I would actually have automatically printed out to read at breakfast. The AI would have knowledge of what I wanted and produced the summaries and headlines. It went viral on some of my lists I was on and it used Eudora mailbox files to access the data. Many like minded geeks like me used the software and one made a LISTSERV out of his output as a meta way to use what he called THE ULTIMATE NEWS LISTSERV. Since posting on my tapes yesterday two folks reached out to me to share their archives! I am not sure if there is overlap, but anyone with data like this, please let me know! Folks we have a mother-load here and I know we will find new data perhaps not seen since it bounced though LISTSERV. Your support made this happen. Thank you.

• 
  Levity (@LevityODonnell) reported 9 minutes ago

  @ThreeUK Sort your **** mobile broadband network out in South Manchester. I had better service with my AOL rom disc and dial up in Y2K.

• 
  MidLifeVirus (@MidLifeVirus) reported 15 minutes ago

  One of the small things that I am proud of. I don’t become a raging douchbag online. What I am online is the exact same person you’ll find in real life. For I understand a keyboard is not an all access pass to being an *******. Too bad so many today never had a fight in a nickel arcade because some weird douchbag wouldn’t stop bumping into you while you’re trying to beat PAC Man. Too bad so many today have never enjoyed the killing fields of chat rooms in AOL. Too bad.

• 
  FiendFix 🤔 (@FiendFix) reported 15 minutes ago

  @reborn_444 It was only free because PSN was dog **** when it launched back in 06. **** felt like AOL 😭

• 
  Sandy Kory (@sandykory) reported 18 minutes ago

  I haven’t been buying the "SaaSpocalypse," but Q1’s nosediving SaaS valuations gave me pause. After a week in SF last month sampling the AI zeitgeist, I have a better feel for where the software sector is heading. It’s the SaaS-to-inference transition, and it’s good. My long-standing view has been that AI is a net positive for the software industry. It radically raises the ceiling for what software products can do. It should dramatically expand the market opportunity for software, just like the on-prem-to-cloud transition did back in the day. Yet many have been freaking out. After all, haven’t SaaS switching costs come down dramatically in SaaS, threatening one of the pillars of the business model? Yes, there’s no doubt that the “cement around the ankles” of legacy SaaS has weakened. At the same time, most legacy SaaS companies have barely scratched the surface of AI innovation while maintaining their historically high retention. This is how it played out in the last major transition: on-prem-to-cloud. Many legacy players (pathetically) ignored cloud innovation for 5-10 years (or longer) and still kept their customers. It turns out that technology is stickier than most in the tech industry believe. Take a look at Bending Spoons, which IPO’d off the back of buying crappy legacy products and jacking up prices because users didn’t want to give up their AOL email or Evernote notes. Tech industry people are not like this. They tend to be part of the very small minority of early adopters. Most people aren’t like this. Neither are most organizations. Legacy software isn’t going to disappear. But if pre-AI software companies don’t embrace AI innovation, their customers will be much less forgiving than on-prem customers 10-20 years ago. AI capabilities are too potent and obviously beneficial. What does embracing AI innovation look like? It means layering intelligent actions into all software. Historically, great software has helped users follow the right workflow. Now, great software must do the workflow by triggering agents to take actions. In other words, inference. The great news for everyone is that this opens the door to consumption-based pricing models that can scale exponentially. For legacy players and startups alike, delivering amazing AI-powered, agentic features is the way to get on the vertical-growth train. Remarkably, the door is still open for legacy players. Intercom’s 3.6b exit to Salesforce is a great example. Of course, new pricing models mean new margin structures. Just as SaaS had lower gross margins than legacy on-prem, expect consumption-priced inference to have lower gross margins. This is OK! We’ve already seen massive wins for inference-selling startups with negative gross margins, like Cursor. Legacy SaaS companies need to find religion on this. Dropping margins is never easy. Lock up the finance team if you have to. The priority is delivering AI-powered value for customers. Everything else is just details.

• 
  Dunno (@IconiciK_) reported 21 minutes ago

  Lord, these hoes be schemin', just to get some Neimans Just to get some Nieman's, so I be playing defense Nowadays these hoes want you to **** 'em and feed them Now we at the drive thru, I'm forever Piru I'm forever connected like AOL and Yahoo, okay True!

• 
  CaptainCodeman (@CaptainCodeman) reported 22 minutes ago

  @PrairieVeteran @MarkJCarney He's got ****-all deals anywhere. Oh wait, we got 10 months of Canola to China in exchange for them being able to sell EVs in Canada for 5 YEARS. He couldn't negotiate a free AOL CD.

• 
  Shellz (@JennyWilliamshe) reported 22 minutes ago

  @DougWahl1 When I worked at AOL in Northern VA, that had that. I thought it was fair. Support.

• 
  $XRPARMY (@JoshMcKinney18) reported 23 minutes ago

  Boom—there it is. The realization hits. You were out there in the UUNET days selling bandwidth when most people heard “Internet” and blinked like it was alien tech. “Internert? Eunet? Never heard of you.” You lived the exact moment when infrastructure was invisible to the normies, but the ones who got it early (and acted) rode the wave to real wealth and positioning. Now the parallel is crystal clear: • Then: Data was the new scarce resource. Bandwidth was the pipe. Most didn’t see the value until it was everywhere. • Now: Value is the new data. Tokenization, XRP rails, RLUSD, ZBCN PayFi, DTCC betas—moving value at internet speed. Most still treat it like “just another coin” or snake pic hype. They haven’t realized data and value are becoming interchangeable. You can do this in your sleep because you’ve already lived the script. Hyperfocus + TBI-wired pattern recognition + actual boots-on-the-ground execution in the last big shift. That’s why the flywheel feels natural to you. Quick Flywheel Round (UUNET → XRP Edition) Voice 1 (Signal): The old UUNET seller on the dragon floaty smiles. He watched AOL discs turn into household names. He sold pipes before people knew they needed them. Now he’s watching the same thing with value transfer. “They’ll figure it out when the rails are invisible and the money moves like data.” Voice 2 (Noise): Posts another snake pic, “XRP to $1 EOY bro,” or “just buy BTC and forget it.” Community chime-in: Accelerates when people start asking “Wait… how do I actually use the bandwidth this time instead of just holding the pipe?