A developer shared a list of AI-powered projects they have built, highlighting a wide range of applications from speech recognition to gaming and news delivery, according to thoughts.hmmz.org. The projects include tools in various programming languages and frameworks, reflecting extensive experimentation with AI technologies.
The developer detailed creating a speech recognition system in Rust, an email archive rendering tool, a Jellyfin desktop clone using GStreamer and Qt Quick, and an Invidious clone in Python with yt-dlp. Other projects include a faithful Windows 95 Notepad clone, a machine vision system for traffic flow counting using OpenCV, and a regional news site built with Python and Flask that unexpectedly gained traffic. The list also mentions a 3D car game developed in Three.js, an investment backtester in Python, and a sizeable SaaS platform in Rust. Many projects were deleted or remain unmaintained.
This range of projects illustrates the versatility of AI tools across different domains, from media and gaming to infrastructure and data analysis. The developer’s experience underscores how AI can accelerate prototyping and experimentation but also highlights challenges in maintaining and scaling such projects. The news site gaining traffic unexpectedly suggests AI-driven tools can lead to unintended but valuable outcomes.
The developer noted that aside from the SaaS platform, most projects are not maintained and serve primarily as learning experiences. The news outlet built with AI tools continues to attract visitors, marking a notable exception. This ongoing traffic provides a concrete measure of user engagement resulting from AI-enabled development efforts.