ldubinets
Joined 13 years ago
Joined 13 years ago
I really enjoyed reading your blog post, it was pretty informative about the techniques. I had built mine as a prototype and specifically interested in running all models local and in browser.
Tldraw seems to be a better medium for this that mermaid.
Would be curious to connect and compare notes! Yours is probably way better, I had built mine as a prototype and specifically interested in running all models local and in browser.
You talk, it listens, and a diagram evolves in real-time. It auto-detects the best diagram type (flowchart, sequence, mindmap, timeline, ER, state, class) or you can pick one manually. A 3-step LLM pipeline runs every minute to classify the conversation, extract structure, and generate Mermaid daigrams, building on the previous version each cycle.
You can also bring your own provider and API key (OpenAI, Anthropic, Ollama) for higher quality diagram generation while keeping transcription fully local.
I built this because I found myself frequently wanting to diagram what we're talking about in work meetings at my day job. Please give it a look and let me know what you think!
P.S. The name is inspired by "shimmer" being a collective noun for a group of mermaids.
Live: https://shimmerdiagrams.com Blog post: https://dubinets.io/shimmer-launch/ Twitter/X thread: https://x.com/LevDubinets/status/2036865760686203181
I have been working with python for over 10 years and have standardized my workflow to only use pip & setuptools for all dependency management and packaging [1]. It works great as a vanilla setup and is 100% standards based. I think uv and similar tools mostly shine when you have massive codebases.
http://www.thenational.ae/news/world/europe/russias-99-convi...
https://dubinets.io/ https://dubnest.com/