Local LLM + Stockfish Chess Analysis

I built a chess game analyzer that combines Stockfish with local Ollama LLMs to surface insights about your play patterns in natural language. It pulls your games from Chess.com's public API, runs Stockfish analysis, and uses local AI models to identify trends. Personally I have found this tool helpful in identifying trends I had not noticed, such as how I am significantly stronger with black pieces or that I most commonly blunder in the Caro-Kann by weakening my d-file. 
I wrote it in Go as a learning project so it is far from perfect. There is also a lot of opportunity for prompt tuning and feature additions to be added.
If anyone tries this project out or has ideas to make improvements, any feedback is welcome. If you want to contribute feel free open a PR or start a discussion in the github repo: cdewitt02/chesser

hey I also have a similar idea and in process building it out, I think we can collab and build a platform for chess players, a more ambition idea would be a SAAS haha. here is my linkedin

That sounds really cool! Are you planning on making it open source and/or accessible to use online?

Potentially, needs a lot more work to be truly production ready

Alright, good luck.