I built a minimalist, dependency-free ecosystem for private AI using vanilla JavaScript

Self-taught developer JJDev built Ventarys AI, an open-source, dependency-free platform for private AI workspaces using vanilla JavaScript instead of frameworks like React or Vue. The developer removed Google AdSense after finding the tracking scripts undermined the privacy-first design and generated minimal revenue, and now seeks community funding and code review from senior developers.

Hi Dev.to community I'm JJDev, a self-taught developer. Recently, I became fascinated by the private AI ecosystem, but I noticed that many modern web tools are bloated with heavy frameworks and endless dependencies that slow down performance. So, I decided to build a solution from scratch: Ventarys AI . Ventarys is a lightweight, open-source platform designed for developers and power users who want a private AI workspace without sacrificing speed or security. You can check it out live at ventarys.net https://ventarys.net/ or look at the code structure directly on my GitHub: Juanoto2012/Ventarys-AI https://github.com/Juanoto2012/Ventarys-AI . To achieve near-instant load times and zero-configuration setups, I avoided React, Vue, or heavy npm packages. Instead, I relied entirely on native browser capabilities: When I first launched the landing page, I tried monetizing it with Google AdSense. However, I quickly realized two things: it only generated a few cents, and the intrusive tracking scripts completely ruined both the minimalist UI and my "privacy-first" promise. I chose to value User Experience UX over pennies. I removed AdSense entirely. Now, I am hoping to sustain the independent server costs purely through community support on Buy Me a Coffee and hopefully applying to developer-friendly networks like Carbon Ads once my traffic grows. As a young developer, I am constantly trying to learn and improve my architecture workflows. Since the project is fully open-source, I would deeply appreciate it if senior devs could take a look at my code structure and share some advice What do you think about building modern AI interfaces using pure native web standards? Let's discuss in the comments