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NerdyData launches, makes search a trillion times better

Newly launched NerdyData allows you to search for the full source code of site, instead of just the text. Genius.

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Nerdy Data is a big deal. It searches all source code. Awesome.

No, you do not have to be a developer to find a use for this. The ability to search a page’s source code allows you track competitors, discover trends, and find where an image’s URL is being hotlinked, but first how does NerdyData do what it does?

NerdyData Co-Developer, Steven Sonnes, tells AG Beat their crawler has “visited over 140 million homepages and collected terabytes of HTML, Javascript, and CSS code.” Instead of having to sift through page after page, looking for code, NerdyData has designed an interface that allows anyone to search against the source code of webpages or even download a list of sites that contain a specific search term.

There is even an interface specifically designed for SEO’s and marketers which allow you the search for specific HTML tags (meta descriptions and meta keywords). This makes finding what you need a whole lot easier.

Now why would you want to do this?

By searching a page’s source code you have the potential to discover new leads that contain a specific keyword or phrase and when you subscribe, you can click the “view contact info” button in the NerdyData search results to get more information about the domain owner. Also, you can search a site for their client list, giving you new leads.

NerdyData gives the example of running a simple search for: “cdn.nameofsite.com” and you will be able to see every single one of their clients. You can also discover trends: how many people are using one thing versus another, but querying the search code. Also, you can research backlinks pointing to a URL, find out where an image URL is being hotlinked, and find live examples of how codes and themes are being used. The last one being of particular interest to developers and designers; it is so much easier to tweak your own code when you can see a live example of what it looks like.

I mentioned above that you can download a list of your search results; you can save these as a CSV, Excel, JSON, or plain text file. You can also share them with anyone or have the results send to you, or anyone on your team via email.

Testing it out

When I tried the search out for myself, I typed in the keyword: AGBeat. After a few seconds, there were 219 results returned, compared to Google’s 85,400 results (demo accounts are only able to search source code). Once you have rendered a search you can immediately see a source code snippet and the button to view the contact information.

You can sort your results by popularity or relevance and download the whole list with one click. There is a toolbar on the left side that shows your search history, as well as, image locator, backlinks, SEO search, and a comparison chart. You can also access support and documentation from your toolbar. Overall it is a very easy to use interface offering insight into source code, without having an extensive knowledge of it.

NerdyData offers three pricing levels: basic, professional and enterprise. At the basic level you receive 200 credits, ten results, and online support, but you do not have the ability to download or email results. At the professional level ($99/month), you receive 1,200 credits, 5,000 results, a refine tool, priority online support and the ability to download and email your results. And finally, at the enterprise level ($149/month), you get 3.000 credits, 100,000 results, a refine tool, email and online support, and the ability to download and email your results.

The results number is the number of results you are allowed to download or email, per month. If no results come back for the term you enter into the search bar, no credits are deducted. My “AGBeat” search cost two credits. To learn more about how these credits work, you can find more information on the NerdyData site.

Jennifer Walpole is a Senior Staff Writer at The American Genius and holds a Master's degree in English from the University of Oklahoma. She is a science fiction fanatic and enjoys writing way more than she should. She dreams of being a screenwriter and seeing her work on the big screen in Hollywood one day.

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Google chrome: The anti-cookie monster in 2022

(TECH NEWS) If you are tired of third party cookies trying to grab every bit of data about you, google has heard and responded with their new updates.

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Google has announced the end of third-party tracking cookies on its Chrome browser within the next two years in an effort to grant users better means of security and privacy. With third-party cookies having been relied upon by advertising and social media networks, this move will undoubtedly have ramifications on the digital ad sector.

Google’s announcement was made in a blog post by Chrome engineering director, Justin Schuh. This follows Google’s Privacy Sandbox launch back in August, an initiative meant to brainstorm ideas concerning behavioral advertising online without using third-party cookies.

Chrome is currently the most popular browser, comprising of 64% of the global browser market. Additionally, Google has staked out its role as the world’s largest online ad company with countless partners and intermediaries. This change and any others made by Google will affect this army of partnerships.

This comes in the wake of rising popularity for anti-tracking features on web browsers across the board. Safari and Firefox have both launched updates (Intelligent Tracking Prevention for Safari and the Enhanced Tracking Prevention for Firefox) with Microsoft having recently released the new Edge browser which automatically utilizes tracking prevention. These changes have rocked share prices for ad tech companies since last year.

The two-year grace period before Chrome goes cookie-less has given the ad and media industries time to absorb the shock and develop plans of action. The transition has soften the blow, demonstrating Google’s willingness to keep positive working relations with ad partnerships. Although users can look forward to better privacy protection and choice over how their data is used, Google has made it clear it’s trying to keep balance in the web ecosystems which will likely mean compromises for everyone involved.

Chrome’s SameSite cookie update will launch in February, requiring publishers and ad tech vendors to label third-party cookies that can be used elsewhere on the web.

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Computer vision helps AI create a recipe from just a photo

(TECH NEWS) It’s so hard to find the right recipe for that beautiful meal you saw on tv or online. Well computer vision helps AI recreate it from a picture!

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Ever seen at a photo of a delicious looking meal on Instagram and wondered how the heck to make that? Now there’s an AI for that, kind of.

Facebook’s AI research lab has been developing a system that can analyze a photo of food and then create a recipe. So, is Facebook trying to take on all the food bloggers of the world now too?

Well, not exactly, the AI is part of an ongoing effort to teach AI how to see and then understand the visual world. Food is just a fun and challenging training exercise. They have been referring to it as “inverse cooking.”

According to Facebook, “The “inverse cooking” system uses computer vision, technology that extracts information from digital images and videos to give computers a high level of understanding of the visual world,”

The concept of computer vision isn’t new. Computer vision is the guiding force behind mobile apps that can identify something just by snapping a picture. If you’ve ever taken a photo of your credit card on an app instead of typing out all the numbers, then you’ve seen computer vision in action.

Facebook researchers insist that this is no ordinary computer vision because their system uses two networks to arrive at the solution, therefore increasing accuracy. According to Facebook research scientist Michal Drozdzal, the system works by dividing the problem into two parts. A neutral network works to identify ingredients that are visible in the image, while the second network pulls a recipe from a kind of database.

These two networks have been the key to researcher’s success with more complicated dishes where you can’t necessarily see every ingredient. Of course, the tech team hasn’t stepped foot in the kitchen yet, so the jury is still out.

This sounds neat and all, but why should you care if the computer is learning how to cook?

Research projects like this one carry AI technology a long way. As the AI gets smarter and expands its limits, researchers are able to conceptualize new ways to put the technology to use in our everyday lives. For now, AI like this is saving you the trouble of typing out your entire credit card number, but someday it could analyze images on a much grander scale.

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Xiaomi accidentally sent security video from one home to another

(TECH NEWS) Xiaomi finds out that while modern smart and security devices have helped us all, but there are still plenty of flaws and openings for security breeches.

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The reason for setting up security cameras around your home is so the photos can get streamed to your neighbor’s device, right?

Okay, that’s obviously not why most (if any) of us get security cameras, but unfortunately, that scenario of the leaked images isn’t a hypothetical. Xiaomi cameras have been streaming photos to the wrong Google Home devices. This was first reported on Reddit, with user Dio-V posting a video of it happening on their device.

Xiaomi is a Chinese electronics company that has only recently started to gain traction in the U.S. markets. While their smartphones still remain abroad, two of Xiaomi’s security cameras are sold through mainstream companies like Wal-Mart and Amazon for as low as $40. Their affordable prices have made the products even more popular and Xiaomi’s presence has grown, both nationally and abroad.

To be fair, when the leaked photos surfaced, both Google and Xiaomi responded quickly. Google cut off access to Xiaomi devices until the problem was resolved to ensure it wouldn’t happen again. Meanwhile, Xiaomi worked to identify and fix the issue, which was caused by a cache update, and has since been fixed.

But the incident still raises questions about smart security devices in the first place.

Any smart device is going to be inherently vulnerable due to the internet connection. Whether it’s hackers, governments, or the tech companies themselves, there are plenty of people who can fairly easily gain access to the very things that are supposed to keep your home secure.

Of course, unlike these risks, which involve people actively trying to access your data, this most recent incident with Xiaomi and Google shows that your intimate details might even be shared to strangers who aren’t even trying to break into your system. Unfortunately, bugs are inevitable when it comes to keeping technology up to date, so it’s fairly likely something like this could happen again in the future.

That’s right, your child’s room might be streamed to a total stranger by complete accident.

Granted, Xiaomi’s integration mistake only affected a fraction of their users and many risks are likely to decrease as time goes on. Still, as it stands now, your smart security devices might provide a facade of safety, but there are plenty of risks involved.

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