The full-stack observability platform that protects your dataLayer, tags and conversion data
Stop losing revenue to bad data today. and protect your marketing data with Code-Cube.io.
Code-Cube.io detects issues instantly, alerts you in real time and helps you resolve them fast.
No manual QA. No unreliable data. Just data you can trust and act on.
Learn More
Outbound sales software
Unified cloud-based platform for dialing, emailing, appointment scheduling, lead management and much more.
Adversus is an outbound dialing solution that helps you streamline your call strategies, automate manual processes, and provide valuable insights to improve your outbound workflows and efficiency.
Rapidly open yours favorite web sites via hotkeys!!
Just try it and you wont be able to imagine your life without this little app!
System requirements:
OS: Windows (Unix's and mac later)
Java Machine: Jre 1.6+
--------------14.02.2015-------------
In new version 0.8 beta:
+most of the code has been refactored and has been redesigned
+fix more issues
+settings storage are now using JSON
+settings now stored at "user.home" folder
+settings class are now using Singleton pattern
+probably added linux and mac OS support
P.S
I newbie in java,any recommendations will be usefull for me :)
best regards Vladimir Avilov
This is a social genealogy web application, compatible with GEDCOM Files (import/export). Aim is to to agregate genealogy informations from any people and to allow mashups over the web.
Realistic Workplace Simulations that Show Applicant Skills in Action
Skillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
This is a service to make it easier for users to post content to Yahoo! Meme. It does that by generating a bookmarklet which users can click to post what they are viewing at the moment. This project uses the simpleyql library and runs on AppEngine.