Google's programmable search engine comes to mind: https://developers.google.com/custom-search/. Source: over 1 year ago

Dorking is not only a very useful technique to find not-indexed results and unvoluntarly exposed content, it it also helps to improve beginner's analyst mindset. You can take it as an introduction to basic query language. What I can strongly suggest is to test your skills by creating your own google custom search engine (https://developers.google.com/custom-search/) that will faciltate your onlime search by... Source: over 1 year ago

It looks like is targeted towards website owners and not the general public. https://developers.google.com/custom-search. - Source: Hacker News / about 2 years ago

A functional replica of Google's search page, you can use it for searches. Styled with Tailwind CSS to Rapidly build and look as close as possible to current google search page, the search results are pulled using Googles Programmable Search Engine and it was build using Next.js the react framework. - Source: dev.to / about 2 years ago

There is a programmable search feature [0] that lets you limit search to a defined list of sites. Someone did a ShowHN a few months ago where they had built a programmable search with 200ish common sites that a stereotype HN reader might like (software documentation, wikipedia, reddit, some news and other media, etc), and it was actually pretty good. I've said before, google is now basically what I'd call a... - Source: Hacker News / about 2 years ago

This week at work I was tasked with continuing some load testing that a previous Engineer had started. They had used locust which is an open source load testing tool to run the initial load testing on the staging environment. I now needed to do the same for production so I followed in their footsteps. - Source: dev.to / 28 days ago

Finally, let's compare the response time of the requests. For that, we will use Locust , an open source load testing tool. The tests will run for 5 minutes, and will increase 4 requests per second every second until they reach 1000 requests per second. - Source: dev.to / 4 months ago

Locust: Another open-source tool, Locust is particularly flexible due to its support for Python scripts. It can conduct load tests across multiple machines, making it possible to simulate millions of users simultaneously. An exceptional feature of Locust is its web-based UI, which allows real-time tracking of performance metrics during test execution. - Source: dev.to / 4 months ago

Locust is a perfect tool to use on such occasion:. - Source: dev.to / 4 months ago

So, in theory, we can handle 300 requests per minute on a single server which was the assumption we started with. After this, I decided to play with this configuration and see what we could achieve. But, to go ahead I need a system to measure the metrics of our load testing. So I quickly set up Locust on my system. Locust is an open-source easy to setup load-testing framework. - Source: dev.to / 4 months ago