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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.
JSettlers2 is a web-based version of the board game Settlers of Catan written in Java. This client-server system supports multiple simultaneous games between people and/or AI bots. Originally written by Robert S Thomas as an AI dissertation (http://sourceforge.net/projects/jsettlers).
The active source code is hosted at https://github.com/jdmonin/JSettlers2 including full history; the sourceforge CVS is historical up to 2012-09-28.
Solaris Game Tracker is a java version of C3 Electronic Record Sheets from http://battletech.understairs.nl/ that allows users to load a Battletech Force Balancer (https://sourceforge.net/projects/cbtforcebalance/) file and then track each unit.
Manage what you buy and how you buy it with Order.co, so you have control over your time and money spent.
Simplify every aspect of buying for your business in Order.co. From sourcing products to scaling purchasing across locations to automating your AP and approvals workstreams, Order.co is the platform of choice for growing businesses.
NetRisk GWT allows anyone to play a full game of Risk with up to 8 players from any Javascript enabled browser. Bases on the code of NetRisk 2.0 (https://sourceforge.net/projects/netrisk/) Demo: http://www.netrisk-online.de/