Collect! is a highly configurable debt collection software
Everything that matters to debt collection, all in one solution.
The flexible & scalable debt collection software built to automate your workflow. From startup to enterprise, we have the solution for you.
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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.
Python-Patterns is a repository collecting implementations of many classical design patterns and idioms, written in Python. It serves as an educational resource: showing how to implement creational, structural, behavioral, testability, and other patterns in a Pythonic style (or sometimes less so), illustrating trade-offs, different styles, and use cases.
Adds a customizable menu item to Jupyter (IPython) notebooks
...This new menu contains little snippets of code that we all forget from time to time but don't want to google, or are just too lazy to type, or simply didn't know about. It can also be helpful for people just starting out with a programming language, who need some ideas for what to do next — like importing a module, defining variables, or calling functions. The new menu comes with a default value relevant for python programming — especially scientific computing — though this is fully user-configurable as detailed below. The default menu is named Snippets, and contains sub-menus with snippets for a few popular python packages, as well as python itself, and some notebook markdown.