AOL outages and service status in Trowbridge, England

Problems in the last 24 hours in Trowbridge, England

The chart below shows the number of AOL reports we have received in the last 24 hours from users in Trowbridge, 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 Trowbridge, England

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

• 
  Gerry Lynch (@gerrylynch) reported 32 minutes ago from Devizes, England

  @SimonCatRiley Lycos. I remember when Lycos was the best. Then it was outcompeted by AltaVista. I never thought Yahoo was any good, even when it was the most popular one. And AOL's mega-intranet which seemed dated by 2000 but by now a strange precognition of social media.

• 
  NoizyGeoff (@GeoffNoizy) reported 56 minutes ago from Bathford, England

  @Reblou3Rebecca Only one. Never had an AOL account.

AOL Issues Reports

Latest outage, problems and issue reports in social media:

• 
  The Edge Guy (@plaz28) reported 5 minutes ago

  230 people. One inflatable boat. New record. The dinghy was already carrying 50 people when it stopped to pick up more — around 30 fell into the water during the scramble to board. French rescuers watched it leave “buckling under the swell.” It broke the previous record of 165, set just last month. Here’s the number nobody’s posting today: total Channel crossings in 2026 are down 43% from this time last year. Fewer boats. More people crammed into each one. The smugglers didn’t lose the trade — they just made the math worse per boat. (ITV / AOL, Aug 10, 2026)

• 
  perry⭐️🪽 (@truebluedyke) reported 8 minutes ago

  them talking in aol chatrooms and sending each other gore sites and live link **** and being freaky gore lovers together 🫡🫡🫡🫡

• 
  Banana In The Tailpipe (@TailpipeBanana) reported 8 minutes ago

  @bumbadum14 I know people who have tumbled down this same rabbit hole. Being isolated in a cabin in Maine with nobody to tell you you're ******* nuts. He's basically a 2005 era boomer sending FWD:FWD:FWD:FWD: AOL emails of a giant shark eating a scuba diver hanging from a helicopter. Like when he states he knows "FOR. A. FACT." that American missiles were sold by Ukraine to Mexican cartels - and the "FACT" is just some random picture of a spent AT4.

• 
  Aremu Azeez (@aremz04) reported 11 minutes ago

  There's a line in The Lean Startup that stung when I read it last week: "learning" is the oldest excuse in the book for a failure of execution. Eric Ries tells the story of IMVU's first product. His team spent six months building an instant-messaging add-on, based on a genuinely smart-sounding strategy: piggyback on existing IM networks (AOL, Yahoo!, MSN), ride their network effects, spread virally through people's existing friend lists. Whiteboard-brilliant. They launched. Nobody used it. When they finally sat real customers down in front of the product, every assumption fell apart. Customers weren't scared of learning new software - the average teenager ran eight IM clients at once. They didn't want to chat with existing friends through avatars - they wanted to meet strangers. The "obvious" barrier the whole strategy was built around wasn't a barrier at all. Ries's point isn't "test more." It's sharper than that: in a startup, any effort that doesn't produce evidence about what customers actually want is waste - no matter how well it's executed. He calls the real version of this validated learning, to separate it from the after-the-fact story you tell yourself when something doesn't work. I'm sitting in a smaller version of that exact test right now with Owoye. One of the assumptions baked into the product is that WhatsApp and IG sellers want their invoices auto-matched to incoming payments. It sounds obviously useful from where I sit. But that's precisely the position IMVU's team was in - certain, and wrong, about what would remove friction for their customer. So this week will not be spent refining the feature. It will be spent in conversations with actual sellers, watching how they track who's paid right now - screenshots, memory, WhatsApp scrollback - before deciding whether "auto-match" solves their problem or just mine. The uncomfortable question worth asking about your own product this week: is the thing you're building solving a problem your customer has, or a problem you have with how your customer works?

• 
  TheWizard (@TheRealWizar) reported 12 minutes ago

  AOL was the first time most people used the internet back in the 90s. Using a phone line and dialing up the service meant you were connecting to the world, it felt like a magical experience. Hearing 'You got mail' and your AIM notifications going off was the first dopamine hit for people being addicted to social platforms - but it was different. You were not online for long durations - usually, just to login for 5 - 15 minutes to check your messages, read some quick news, and log off. Mom had to use the phone after all and you couldn't stay on all day. Today's internet is an always on experience, making it hard for people to disconnect and touch grass / hang out with family and friends.

• 
  zeldacat (@ZeldatheCat3) reported 13 minutes ago

  @itslunabxo @NoContextHumans You got that ******* right. The internet was fun once. And free of anyone trying to make money but AOL and the like. Sorry for all who never saw it.

• 
  Dazlidorne (@Dazlidorne) reported 16 minutes ago

  @ayligerwolf 20. I mean, a few were borderline. Never had an aol address, but I e-mailed someone who did. Same thing with the waterbed. Never had one, but I have been on one.

• 
  Brett Caughran (@FundamentEdge) reported 16 minutes ago

  My playful analogy is we are in the AOL era of AI. Early stage of a revolutionary technology, but the delivery mechanism is still clunky, requiring really dumb concepts like prompt engineering. In 1996, you couldn't even imagine business models like Uber, Netflix, the iPhone, YouTube or Tesla FSD, because the technology wasn't even close to capable or cost effective enough. From 1996-2006 global data volume grew by a factor of 10,000,000x (per Gemini), but that growth was hugely deflationary (wholesale IP transit cost down 99%), i.e. good for the application layer and selectively bad for the pipe owners (telecom). Overall, the mix of massive volume growth offset against gnarly price deflation has been a, net/net, positive thing for telecom investing. Does that hold for the frontier labs? "Intelligence pipe" feels like it can be a pretty damn awesome business, but, like telecoms, the evolution of "intelligence pipe as a business" will be extremely path dependent and will require real business models with attractive unit economics to fund. Obviously most of the 90's era telecoms went bust and the assets were only financially productive for the 2nd or 3rd owners, mostly due to balance sheet issues & the subsequent closing of the capital markets window. Though capital markets have evolved materially since the early 2000's telecom bust with a regulatory environment more supportive of monopolies/oligopolies and private capital markets more supportive of funding massive cash burn (to wit, I think it's a really bad idea for Anthropic to IPO in '26, but what do I know?). So imagine that prior but like 10-100x the size of the internet. Maybe more? As in 1996 when you couldn't even envision Netflix/Uber, the iPhone or Tesla FSD, we have zero idea what 2056 looks like, but the exponential will certainly drive even more upside uncertainty in technology. idk, hard to be structurally bearish on the "intelligence pipe" and subsequently, infrastructure that feeds the pipe (though it feels certain there will be super gnarly potholes, messy shakeouts, and bankruptcies along the way, as we saw in telecom evolution), and ultimately what matters is free cash flow production, which feeds from the intersection of exponential volumes against unit level deflation. What's exciting to me with the improvement in the models, both frontier like Fable/Sol and open source like Kimi/GLM/Deep-Seek, is you are getting *closer* to seeing a real application layer possible in a very intellectually difficult sandbox like public market investing. Nearly four years from GPT 3.5 demo, we still aren't there. We are still in the "AOL era" - too slow, not competent enough, too expensive. But we are getting closer. So are we exiting the AOL era? It feels to me like we might be. If I had to guess, my guess is the frontier labs continue to be good businesses (and extremely volatile public stocks), mostly due to the reflexive nature of capital markets & talent acquisition. But what seems really obvious, to me, is that 2026-2036 is going to be the era of the application layer, where the Travis Kalanick-style entrepreneur takes this "intelligence pipe" and envisions new & groundbreaking businesses that change the world. That entrepreneurial accelerate will drive durable and accelerating demand for the intelligence pipe, it seems. It's a really exciting time to be alive.

• 
  Rosemary🇨🇦 (@rmmh1898) reported 17 minutes ago

  @Matt_Pinner Never had AOL or a waterbed but I still have a cheque book and a typewriter.

• 
  JollyJoebean_VT (@joebeanclown) reported 19 minutes ago

  19 Never had an AOL.