We’re a small team working on 13Radar.com, which we launched about two weeks ago after 4 months of development. I’m the founder, and together with the team we’re building a platform that tracks hedge fund portfolios in real-time based on SEC Form 13F filings.
AI has been a major helper in our workflow. For a single webpage, we often consult multiple AI systems in parallel, generating different versions and comparing them side by side before deciding on the final design or implementation. More than 60% of the research, design, and coding involved AI assistance. For UI design we used Readdy, which gave us a smooth design experience. We experimented with Google Gemini and ChatGPT for research and prototyping, while most of the coding was done with Claude Code (Trae). On the front-end, we started with Bootstrap but later switched to TailwindCSS for a lighter, more responsive framework.
Features so far:
Real-time tracking of hedge fund holdings from SEC 13F filings
Portfolio changes per quarter (new positions, increases, reductions, exits)
Sector-level insights and trend analysis
Historical tracking and backtesting tools
Next steps:
Implementing pricing and subscription features
Adding email notifications and report export
Expanding analytics with insider transaction data
Continuing to refine usability and performance
We’d love feedback from the community:
Does this solve a real pain point for investors/researchers
Any thoughts on improving positioning or usability
Suggestions for features that would make this more useful
Thanks for reading — and if you’re curious, feel free to check out the site and let us know what you think.
