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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.
...It's been designed with flexibility in mind - it's not just another bug
tracker. Roundup ships with a *demo tracker* to play with - after
you've unpacked the source, just run "python demo.py" and load up the
URL it prints out!
Get current development source from mercurial repo at: <https://sourceforge.net/p/roundup/code/ci/default/tarball?path=>
...When we scour the web to find tickets for sale, mostly those tickets are identified by a title, date, time, and venue. We’ve built up a library of “fuzzy” string matching routines to help us along. And good news! We’re open sourcing it. The library is called “Fuzzywuzzy”, the code is pure python, and it depends only on the (excellent) difflib python library.
Preparing custom time field support for Trac trunk, based on Trac-0.12dev_r9115 so far. This is mainly to expose code to interested developers and enable collaboration via distributed VCS (Mercurial for now).
The e-Crime Reporting and Incident Sharing Project via XML, is developing a repository of conversion tools and utilities to make it easier to convert proprietary data formats to IETF IODEF (RFC 5070) XML reports.
An initial tool to submit data to a repository wascreated in java.
Subsequent tool devlopment was done in python as a set of scripts to allow submittors to do higher volume submissions. [This code is available in the git 'scripts' repository.]
Our new software release will dramatically improve your medspa business performance while enhancing the customer experience
AestheticsPro is the most complete Aesthetics Software on the market today. HIPAA Cloud Compliant with electronic charting, integrated POS, targeted marketing and results driven reporting; AestheticsPro delivers the tools you need to manage your medical spa business. It is our mission To Provide an All-in-One Cutting Edge Software to the Aesthetics Industry.