This is my go-to website performance checker for detailed, real-world metrics. It offers deep insights into page load times and user experience from multiple global locations.
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MS MARCO is a foundational dataset collection for deep learning in search, primarily known for its question-answer pairs ideal for finetuning embedding models. It's a go-to resource for developing robust ranking systems.
Testcontainers allows me to run unit and integration tests against real dependencies like databases and message brokers, all within throwaway Docker containers. It's the proper way to test; docker all the things!
This is a client-side JavaScript library for simulating various forms of color blindness on images. I appreciate its use of multiple algorithms, including more accurate ones like Brettel et al. and Machado et al., ensuring the image never leaves the browser.
Roast.so offers a landing page roasting service for $50, designed to identify webpage issues before they impact visitors. I see this as a straightforward, cost-effective way to get expert feedback on page effectiveness.
This API provides low-latency access to daily updated, aggregated real-user experience data from the Chrome UX Report, available at both page and origin granularity. It's a direct way to programmatically fetch Core Web Vitals and other performance metrics based on live user data.
I rely on Google PageSpeed Insights to quickly assess web performance metrics and identify key optimizations, essential for improving user experience and SEO.