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Smart Business Texting that Generates Pipeline
Create and convert pipeline at scale through industry leading SMS campaigns, automation, and conversation management.
TextUs is the leading text messaging service provider for businesses that want to engage in real-time conversations with customers, leads, employees and candidates. Text messaging is one of the most engaging ways to communicate with customers, candidates, employees and leads. 1:1, two-way messaging encourages response and engagement. Text messages help teams get 10x the response rate over phone and email. Business text messaging has become a more viable form of communication than traditional mediums. The TextUs user experience is intentionally designed to resemble the familiar SMS inbox, allowing users to easily manage contacts, conversations, and campaigns. Work right from your desktop with the TextUs web app or use the Chrome extension alongside your ATS or CRM. Leverage the mobile app for on-the-go sending and responding.
A little word cloud generator in Python. The code is tested against Python 2.7, 3.4, 3.5, 3.6 and 3.7. If you are using conda, you can install from the conda-forge channel. wordcloud depends on numpy and pillow. To save the wordcloud into a file, matplotlib can also be installed. If there are no wheels available for your version of python, installing the package requires having a C compiler set up.
Please see the README.txt.
The ServitorConnect 4443 and Python Daemon and Intention Repeater Android are better because repeating once-per-hour is better than millions of times per second (or even 3Hz).
The archive bundle includes binaries and source code for:
MAX and Simple Intention Repeaters
CUDA version for Windows/Linux
Memory Frequency Generator
Multi-Format to WAV Repeater
Android app Sourcecode
File/Image Writers
Nesting Files Creator
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Souper is a superoptimizer for LLVM IR designed to automatically discover missed optimization opportunities within LLVM’s mid-end optimizers. By leveraging SMT (Satisfiability Modulo Theories) solvers, Souper symbolically analyzes LLVM Intermediate Representation (IR) to synthesize equivalent, more efficient expressions. It identifies peephole optimizations—small instruction-level improvements—that LLVM’s optimizer may overlook, thereby improving compiled code quality. Souper can operate in...