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.
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The AI workplace management platform
Plan smart spaces, connect teams, manage assets, and get insights with the leading AI-powered operating system for the built world.
By combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
This script is written using the shell, in order to quickly deploy LEMP/LAMP/LNMP/LNMPA/LTMP(Linux, Nginx/Tengine/OpenResty, MySQL in a production environment/MariaDB/Percona, PHP, JAVA), applicable to RHEL 7, 8, 9(including CentOS, RedHat, AlmaLinux, Rocky), Debian 9, 10, 11, 12, Ubuntu 16, 18, 20, 22 and Fedora 27+ of 64.
The script will use msfvenom (metasploit) to generate shellcode in diferent formats ( c | python | ruby | dll | msi | hta-psh ), injects the shellcode generated into one funtion (example: python) "the python funtion will execute the shellcode in ram" and uses compilers like: gcc (gnu cross compiler) or mingw32 or pyinstaller to build the executable file, also starts a multi-handler to recibe the remote connection (reverse shell or meterpreter session).
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'shellcode generator' tool...
Free and simple build toolkit for HTML5-based Android apps
...Given the folder with your web app (HTML, JS, CSS) and its title, it outputs ready-to-use APK file with this application.
Requirements:
- Linux or other Unix-based OS with Bash shell
- Java SDK (sun-java6-sdk or the latest openjdk version)
- Ant
- Android SDK installed with Android 2.1 (android-7) available as a target
Configuration
After unzipping, you must specify the exact path to your Android SDK folder (without last slash) in sdk.ini that resides in SAWS root folder:
sdk.dir=/path/to/android-sdk
Usage:
/path/to/saws-build [application name] [webapp folder] [output apk file]
e.g.
...