
Qloo, the "Cultural AI", is capable of decoding and forecasting consumer tastes around the world. Privacy-first API that predicts global consumer preferences, catalogs hundreds of million of cultural entities, and is privacy-first. Our API provides contextualized personalization and insight based on deep understanding of consumer behavior. We have access to more than 575,000,000 people, places, and things. Our technology allows you to see beyond trends and discover the connections that underlie people's tastes in their world. Our vast library includes entities such as brands, music, film and fashion. We also have information about notable people. Results are delivered in milliseconds. They can be weighted with factors like regionalization and real time popularity. Companies who want to use best-in-class data to enhance their customer experiences. Our flagship recommendation API provides results based on demographics and preferences, cultural entities, metadata, geolocational factors, and metadata.
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gtechna’s smart parking management and enforcement solution is trusted by leading cities worldwide. Our cloud-based system empowers municipalities, transportation agencies, and universities with cutting-edge applications that increase parking revenue, cut operational costs, and improve the driver experience.
By choosing gtechna for your parking management and enforcement needs, you're partnering with an industry leader known for constant innovation. Cities like Washington, D.C., Boston, Pittsburgh, Toronto, and Vancouver have already transformed their parking infrastructure with gtechna—now it's your turn to experience the future of parking.
Upgrade to a scalable parking management and
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MinuteHound
Companies that transition to MinuteHound™ typically experience an astounding ROI (Return on Investment) of 2,300%, allowing them to stay updated on any time and attendance discrepancies. This system enables businesses to adjust their workforce according to real-time demands, fostering an environment built on trust and responsibility. It proves especially beneficial for organizations with large or remote workforces. Automatic report generation eliminates the need for reconciling time cards, significantly reducing hours spent on payroll audits. MinuteHound employs biometric technology, allowing employees to clock in and out using their fingerprint, facial recognition, or a username and password, thus streamlining the entire process. By eradicating issues such as time theft, human errors, and buddy punching, MinuteHound helps companies save substantial amounts. To understand the potential savings for your organization, check out the time clock calculator page. The efficiency and simplicity provided by the MinuteHound biometric time clock revolutionizes time and attendance management. Investing in MinuteHound not only simplifies processes but also enhances overall productivity and accountability within the workplace.
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Hound
Hound serves as a remarkably swift engine for searching source code. Its foundation is derived from an article and accompanying code by Russ Cox, which discusses regular expression matching utilizing a trigram index. The application itself features a static React frontend that communicates with a Go backend. This backend is responsible for maintaining an up-to-date index for every repository and processes searches via a streamlined API. Although Hound has primarily been tested on MacOS and CentOS, it is designed to operate on any Unix-like system. While Hound does not officially support Windows, reports indicate that it compiles and functions adequately; however, it is advisable to exclude your data folder from the Windows Search Indexer for optimal performance. Users have expressed enthusiasm for its capabilities, and developers are continually working on enhancing its compatibility across various platforms.
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