AOL outages and service status in Poole, England

Problems in the last 24 hours in Poole, England

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

Live Outage Map Near Poole, England

The most recent AOL outage reports came from the following cities: Poole.

City	Problem Type	Report Time
Poole	E-mail	2 months ago
Wimborne Minster	E-mail	4 months ago
Bournemouth	Total Blackout	6 months ago
Bournemouth	E-mail	6 months ago

Community Discussion

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AOL Issues Reports Near Poole, England

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

• 
  Lee (Pilchard) Stacey (@LStacey) reported 10 minutes ago from Bournemouth, England

  @jowyang 1. AOL still exists? 2. Has it stopped being evil since the rebrand? 3. Who gives a ****?

AOL Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Dan Olson (@olson_dan) reported 5 minutes ago

  @Terry_Hendrix I am too young for BBS (seriously). I tried it once when I was 12 and on an AOL trial but never got anywhere.

• 
  Jamie (@jamielyn0127) reported 6 minutes ago

  @zedamex @el_mesa @RinoTheBouncer That still requires players to have a strong enough internet connection to do these things. What do you propose people in rural areas with poor or zero home internet access should do? AOL shut down back in Sept 2025 which was one of the few options rural families rely on.

• 
  Etheraider (@etheraider) reported 9 minutes ago

  Every trendy chain is basically trying to sell you their flavor of AOL, some training wheel, curated version of the internet. When in reality, the real unlock is the unbridled, uncensored, open-access network. $ETH

• 
  Aseem Kishore (@akishore) reported 9 minutes ago

  $MU first day of q3 and the market’s already doing splits — dow up, nasdaq down, everyone figuring out what’s next after that insane h1 run - dow hit a fresh intraday high (+28 pts, +0.1%) - s&p flat, nasdaq off ~0.5% — tech stumbles as semis get sold off - micron MU down 9% today but still up 250% ytd — sandisk SNDK crushed 10% after that wild 850% h1 surge - profit-taking much? after 80%+ collective gain in chips this year… yeah, makes sense - bending spoons (aol, vimeo owner) jumps 42% on u.s. ipo debut — random flex - guggenheim upgrades salesforce and servicenow to buy — enterprise life goes on so the laggards are finally getting love while the darlings bleed — what a world. MU SNDK

• 
  Ram ETC (@Rambrero1) reported 10 minutes ago

  @downthenos53590 @pantherkat @AOL Lmao wtf. You literally just complained about your kids not being able to buy a house. Are you retarded or something?

• 
  Dennis R (@DennisRChandra) reported 14 minutes ago

  @ToxicWorrier @llandoniffirg Oh man. 19 for me. I never had an AOL address

• 
  matt stevens (@mattst73) reported 15 minutes ago

  @desthia2 This is the bottleneck problem AI is experiencing right now. It is like when AOL charge by the minute, then someone said unlimited internet. We need quantum computing to have a break though or enough data centers to handle. Selling compute capacity to other AI companies has screwed their own customers.

• 
  Avi 🇨🇦🇮🇱/(ESC) (@Wpg_Jets79584) reported 17 minutes ago

  @ToxicWorrier @llandoniffirg 19. Never had aol

• 
  Downthenose (@downthenos53590) reported 18 minutes ago

  @Rambrero1 @pantherkat @AOL I'm talking about a complete douchebag and the people who support him, you are bitching about your mail being down for an hour or two. Big difference. That man destroys everything he touches! My kids can't even afford to buy a house on two incomes!

• 
  Sandy Kory (@sandykory) reported 21 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.