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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.
netstress is a client/server utility designed to stress & benchmark network activity of a given ethernet device or path using simulated (random) real world data and packet sizes instead of fixed data and packet sizes.
...Basically each scenario consists of a database Production (BDP) large volume that simulates a real environment and a database of Experiments (BDE) that contains information about SQL, Mutants and results of experiments with random instruction methods. The reference value is nothing more than a set of data bases. The first scenario has the structure and the generated data for the specific benchmark, the second is its structure and data obtained from an actual application.
This is a simple Port Flooder written in Python 3.2
Use this tool to quickly stress test your network devices and measure your router's or server's load.
Features are available in features section below.
Moihack DoS Attack Tool was the name of the 1st version of the program.
Moihack Port-Flooder is the Reloaded Version of the program with major code rewrite and changes. Code is much smaller in size now - from about 130 pure lines of codes to 35 lines only.
To run it you must...
Total Network Visibility for Network Engineers and IT Managers
Network monitoring and troubleshooting is hard. TotalView makes it easy.
This means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
Storesim simulates creation of large amount of random files. Directory structure created is similar to what is done in very large file repositories: based on hashdirs (found in mailservers, NFS servers, files servers, image databases...)