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Turn traffic into pipeline and prospects into customers
For account executives and sales engineers looking for a solution to manage their insights and sales data
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.
Advanced C/C++ library(ACL) for UNIX-like OS and WIN32 OS, including sync/async/ssl iostream for net/file, thread pool, process pool, db pool, server framework, event, memory, string, array/hash/ring/list, xml and json parser, http/smtp/icmp protocol, SSL/TLS, C unit test, etc
...In other
words it discovers tests, runs them in various ways, detects failures
in them, and reports the failures out to a human.
There are many other such frameworks for many languages, see
http://en.wikipedia.org/wiki/XUnit Notably, we use the CUnit today
in the Cyrus IMAP server, and it was CUnit's many pain points that
inspired my work on NovaProva.
Project has been moved to github: http://jschilicat.chilicat.net . -- -- JsChilicat is a headless JavaScript test enviroment based on EnvJs (http://www.envjs.com/) and Rhino (http://www.mozilla.org/rhino). As test framework is QUnit integrated. JsChi