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Docket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
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...It contains a lot of handy methods and you can create some very elegant code with it. In client projects I found myself adding the same macro's over and over again. That's why my colleague Seb and I took some time to create a package aptly called Laravel-collection-macros that contains those macros.
A fast GUI for Homebrew written in SwiftUI. I'd like to personally thank Seb Jachec for implementing a system for getting real-time outputs of Brew commands. Pre-compiled, always up-to-date versions are available from my Homebrew tap, which you get access to by donating 5€/month. You can donate through Ko-Fi or GitHub Sponsors. However, as Cork is open source, you can always compile it from source for free.
Foot tracking algorithm demonstrated in Seb Madgwick's 3D Tracking
This repository provides the source code for a foot-tracking algorithm using an inertial measurement unit (IMU) attached to the foot, as demonstrated in Seb Madgwick’s “3D Tracking with IMU” video (March 2011). The method performs dead reckoning to integrate foot motion and corrects for drift at each foot strike (when the foot touches the ground) to reset error accumulation. The algorithm was part of gait analysis research, estimating foot trajectories in 3D over time. The repo is marked “no longer maintained,” and has been superseded by newer versions of Gait-Tracking. ...