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Automate contact and company data extraction
Build lead generation pipelines that pull emails, phone numbers, and company details from directories, maps, social platforms. Full API access.
Generate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
Based off of bandwidthd (http://sourceforge.net/projects/bandwidthd) but updated to support large networks (13,000+ devices). IPv6 support is in the works. Our thanks goes to the original authors of bandwidthd who made this possible.
A number of people can write in a one table at the same time.
This "griwiki" is a bulletin board like excel plus wiki style.
You can change 3 dimensions of views by clicking.
Proyecto de software de gestion documental (SGD), el cual tiene como finalidad la organizacion documental de las empresas, asi como el manejo de documentos digitales
For companies looking to automate their consolidation and financial statement function
The software is cloud based and automates complexities around consolidating and reporting for groups with multiple year ends, currencies and ERP systems with a slice and dice approach to reporting. While retaining the structure, control and validation needed in a financial reporting tool, we’ve managed to keep things flexible.
An attempt to design minimum cost broadband networks with the use of a modified version of the Particle Swarm Optimization method. A GIS subsystem is used for the visualization of data and results.
A framework and class library for using Object Oriented Programming in Progress 4GL/ABL versions starting from 9.1D Supports inheritance, encapsulation, polymorphism and in v9, memory management.
The JProgress project provides tools for connectivity with Java clients and the Progress database. JProgress provides an n-tier software architecture for database access for executing remote requests over WANs and the Internet.
Secure and customizable compute service that lets you create and run virtual machines.
Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.