Category: AI

I have continued to work on this app. This was a labor of love, really, to help me in my pursuit of ATNOs and band/slots for DXCC awards and endorsements. I have shared it in several venues hoping that other hams with similar pursuits would find it helpful. I have also received some excellent feedback to add features and improvements.

LoTW DXCC Credit Analyzer

LoTW DXCC Credit Analyzer

I’ve been reading a lot about vibe-coding, and thought I would give it a try. I have been off-and-on trying to learn Python. Maybe someday I will get it.

I have always wanted an app that would perform analysis of the DXCC Award Credit Matrix from Logbook of the World. There is no option to download the table as a spreadsheet. So, I thought I would try to cook something up myself using AI coding.

I used Lovable, which is an AI-powered, no-code app builder designed to create web applications and websites from simple text prompts. It enables users to rapidly build functional, production-ready apps—such as project management tools, calculators, or landing pages—by generating code and UI through conversational AI.

I create a web app called “LoTW DXCC Credit Analyzer” for DXCC entity, band-slot and mode analysis. The analysis does not include deleted entities. Also, I could not completely automate the process because of the way LoTW displays the DXCC Award Credit Table (no option to download the table as a spreadsheet or CSV file). I included instructions in the app for creating a spreadsheet from LoTW’s DXCC Award Credit Table, which can then be loaded into the app. Feel free to give it a try!