Downdetector

Downdetector®, an Ookla® brand, is the world’s most popular platform for online service status information. Downdetector helps people all over the world understand disruptions to vital services such as the internet, social media, web hosting platforms, banks, games, entertainment, and more. With insight into all the services and platforms that power connectivity, Downdetector empowers consumers and informs enterprises when customers are experiencing issues.

By leveraging over 25 million monthly reports from individual users, real-time analysis, and verification of outage reports, Downdetector Enterprise helps organizations across industries understand the size and scale of incidents — and rapidly act to resolve issues that matter most to their customers.

13K+ Services

24/7 monitoring and troubleshooting of 13,000+ online services

150MM+ Unique Users

150+ million annual unique users

25MM+ Average Monthly Reports

25+ million average monthly consumer reports

Global Reach

Recent News

Yahoo! Finance  
"We are very pleased with our third quarter results," said Vivek Shah, Chief Executive Officer of Ô¼ÅÚÊÓƵ. "We are seeing improvements in the businesses that we currently own, as well as opportunities to leverage our strong balance sheet and free cash flows to acquire businesses that we would like to own."
Morningstar  
Today, RetailMeNot, a Ô¼ÅÚÊÓƵ company, kicks off Cash Back Day, an exclusive shopping event running November 7-9 that empowers RetailMeNot members to kick off the holiday shopping season with thousands of deals and cash back offers of up to 20% from top retailers, including UGG, Tarte Cosmetics, Macy's, Walmart, Viator, Anthropologie, Alo Yoga and more. This three-day savings event makes it easier than ever for shoppers to check off every item on their holiday lists while putting cash back into their wallets at hundreds of their favorite retailers.
Axios  
Ô¼ÅÚÊÓƵ says their analysis of publicly available datasets makes it clear that AI firms rely disproportionately on commercial publishers of news and media websites to train their LLMs. The paper — authored by Ô¼ÅÚÊÓƵ' lead AI attorney, George Wukoson, and its chief technology officer, Joey Fortuna — finds that for some large language models, content from a set of 15 premium publishers made up a significant amount of the data sets used for training.
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