TacoNET is an open-source, Friend 2 Friend, cross platform, encrypted Darknet written in python. Currently in Alpha, it's functional, but nowhere near what it will be. There will be gui weirdness, useless error messages, spelling/grammer mistakes, and of course some features may not work 100% in all cases. This will, of course, improve over time.

Project dev has stopped here, all further dev @
https://github.com/withorwithoutgod/taconet

Project Activity

See All Activity >

Categories

File Sharing

License

BSD License, MIT License, Public Domain

Follow TacoNET

TacoNET Web Site

Other Useful Business Software
Turn traffic into pipeline and prospects into customers Icon
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.
Learn More
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of TacoNET!

Additional Project Details

Intended Audience

End Users/Desktop, System Administrators

User Interface

Web-based

Programming Language

Python

Related Categories

Python File Sharing Software

Registered

2013-04-12