AOL outages and service status in Lancaster, Pennsylvania

Problems in the last 24 hours in Lancaster, Pennsylvania

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

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

• 
  Ericka Tavarez (@Lovericka25) reported 58 minutes ago from Lancaster, Pennsylvania

  I always used AOL because it was how I liked it, more simple then Gmail. I wake up today, check my email they changed it now its exactly like Gmail 😑 ******** man. To late to change my email now smh

AOL Issues Reports

Latest outage, problems and issue reports in social media:

• 
  FB (@classic_fb) reported 55 seconds ago

  AOL news article? Lmao that **** has to be fake

• 
  Levity (@LevityODonnell) reported 6 minutes ago

  None of them have ever rung me. I got to the MSN point, adding people. I never got to the AOL AIM level they were all on. No one would share the lists with me.

• 
  Sandy Kory (@sandykory) reported 6 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.

• 
  Alex Prompter (@alex_prompter) reported 10 minutes ago

  You're prompting frontier AI through the same keyboard layout you used for AOL Instant Messenger. The models got 1000x smarter. The interface didn't move an inch. $5.5M says Aina's building the fix. This is the hardware gap I've been watching for someone to close.

• 
  Jeb Hill (@memphistigerjeb) reported 12 minutes ago

  19. I never had an AOL account. I jumped in hard on Earthlink back then.

• 
  Rusty (@isrustydotnet) reported 15 minutes ago

  @BuzzPatterson Yea, we tried doing a iMitchcall through AOL but it was too slow.

• 
  Simon Khalaf (@Simonkhalaf) reported 18 minutes ago

  I have got two words: AOL TimeWarner #FAIL

• 
  Jeff (@Eyedocduncan) reported 26 minutes ago

  @24tog 19 I never had an AOL email address lol

• 
  Sabretooth | Exchequer (@SabretoothSG) reported 26 minutes ago

  Crypto has hit a local maxima, like the internet did in 1998. How you monetize currently in crypto is to clip trading volume. The users doing volume are traders. so everything ships for traders, perps, options, CEXes, dexes, launchpads, etc... Build for traders and you get instant traction. build for anyone else and you get crickets, so the traction data says traders are the only market, and the capital follows the traction data. in 1998 every serious internet company was a portal. Yahoo, Excite, Lycos, AOL, Infoseek. the metric was traffic. Everything was built to keep the user on the page, because the user on the page was the business. Search was actively deprioritized. A good search engine sends the user away, which is negative stickiness, which made search a bad product. In 1999 Excite passed on buying Google for under a million dollars. In 2000 Yahoo hired Google to power its own search results, because search was a cost center you outsourced. We are in the portal era of crypto. The Google of crypto will not show immediate traction. Google didn't. It sent users away, made no money, and looked like a toy to every smart person grading it on 1998's metric. If you want immediate traction, the market has plenty for you. Go find the next pump fun. The next Aster. The next shiny thing traders rotate into for three weeks. The next big thing requires conviction about what crypto is for, not what does volume in the next 30 days.

• 
  PhaserPulse (@PhaserPulse) reported 26 minutes ago

  19, never had an AOL address