Hello BHW, I have been working on an AI-based traffic exchange application in my free-time and wanted to share some details of it to see if it is something that other members would be interested in using. If so, I would give the project a little more attention. Features Traffic Quality Control - Only low-threat residential IPs would be authorized to participate on the network. Let's face it, data-center originated traffic is completely useless and easily detectable. Anyone could write a 10-12 line Node script, launch it to Lambda, and generate thousands, if not millions of random requests. AI Browser - The main thing that I have been working on. Developing an AI that runs within a headless browser that mimics user interaction on the site; natural cursor movement, content aware (as if user was reading), etc.. Essentially the AI engine is nearly identical to an actual user browsing a website, and has been configured to be undetectable on all the headless browser detection tests I have come across. Pre-surf Virus Protection - A common problem with other auto-surf systems such as Jingling and Loulaingbao is that the network does not filter any of the sites that are on the TE network. Meaning it is extremely likely your surfing VM / PC will end up with a virus. I have developed two defenses for this. 1. When the user submits their site to the network, the backend scans the site for malware and viruses. 2. When the job server is sending jobs to the user's surf-client, it pre-scans the URL it sends the user. Two Applications - The network will have two applications: 1. The main application with account controls, as well as built-in surf-client 2. Standalone surf-client - If you have more than 1 residential IP, you can run the standalone surf-client on this IP and accumulate points for your main account. Ratio - The network ratio will be 1:1 Other Features - All the standard TE features, geo-targeting, custom referrer, etc. Any other feature recommendations would be appreciated as well.