Hacker News

https://www.youtube.com/watch?v=k-23LgrFcvs

https://www.aboutamazon.com/news/aws/how-autonomous-ai-agent...

https://www.allthingsdistributed.com/2026/11/aws-emulator-an...

Here's a quick demo video: https://www.youtube.com/watch?v=BFfbXAwRq98

Similar to Granola, Yogurt runs in the background and does not join your calls. But unlike Granola, Yogurt is open-source, free to use, and private. Your meeting transcripts, call recordings, and summaries never leave your computer.

As small OSS models have gotten faster and more powerful, Yogurt seemed like a pretty obvious win for privacy and cost conscious folks. You do not need a frontier model to summarize meeting notes or answer questions about them. And if you want to make your notes available to a frontier model, you can just share it with Anthropic, OpenAI, etc. directly via Yogurt’s local MCP server. There’s no need to use a paid cloud service as a middleman.

I tried some of the most popular OSS note taking tools, and most were missing features like calendar integration, MCP server, etc. or required you to connect or create an account. And more than that, they didn’t feel polished enough for it to be something I actually wanted to use daily, and so I built Yogurt to scratch that itch. I spent a lot of time fine-tuning every UI interaction/animation and optimizing the model calls to get the most out of your hardware + make it snappy.

To support Windows/Mac/Linux, I decided to go with Electron. I use whisper.cpp for transcription and Apple’s on-device SpeechAnalyzer if your system supports it. For call summaries and questions, I use a local open weight LLM that automatically gets downloaded and set up based on what your hardware can handle without your cooling fans firing off like crazy (this part uses llama.cpp).

I’ve spent a lot of time working on details like echo detection/reduction, global/folder/local level search respectively, and auto-end recordings. Hope this is useful for any of you who have held out on using AI note tools for privacy or cost reasons, or for folks using cloud tools who want to switch to something free and open source that still feels great to use.

Would love to hear what you think about the onboarding and note taking experience :)

https://www.reddit.com/r/Python/s/2Cm5dBcvQw

I built Aircad because I was frustrated with what was out there. Current CAD tools are expensive and slow to improve. New features barely move the needle. With Aircad, you have fast, powerful geometry tools for just about anything, from conceptual models to your final design.

The newer generation of web-based CAD isn’t comprehensive enough to complete a project or is slower than existing desktop products because it sends performance-sensitive work to a server (OnShape), or isn’t designed to scale to real work in a collaborative setting (many "toy" CAD tools).

Current CAD collaboration workflows are fragile, costly, and complex. They’re file-based and separate the design artifacts (eg PDFs) from the source. Collaboration is often an expensive add-on that raises your subscription, is hard to learn, and feels unnatural. Aircad builds it in: version history, drawing comparison, forking, and realtime collaboration.

AI in most CAD tools is tacked on as a plug-in instead of being deeply integrated, and those plug-ins are often inefficient, hard to adopt, and costly. Aircad has a built-in AI agent and a comprehensive scripting API with a stage-and-commit workflow, so you know exactly what is happening during a complex change. You can use AI to write new scripts and commands that extend Aircad with repeatable, shareable workflows.

I've been building this over the past few years. I left my job working on Google Earth to make a 3D PC builder. We have quite a few users so it's able to fund our team but I realized I never shared on HN!