Real-time AI news and analysis on LLMs and hardware
4.8(6)19TechnologyStartupsDevelopment
The daily radar on models, frameworks, and hardware to run AI locally. LLMs, LangChain, Chroma, mini-PCs, and everything you need for a distributed "in-house" brain.
64 people supporting this launch
4.8
6 ratings
Being an AI Enthusiast, I started studying how LLMs works, reading many books and practicing via google Colab, Hugging Face and Kaggle, developing many AI related Apps, using VS Code .
AI video with native sound, paid per clip. Nothing stored.
A calmer Mac menu bar, one click away.
Enterprise Software. Intelligent Automation. Global Impact.
Comments
19Being an AI Enthusiast, I started studying how LLMs works, reading many books and practicing via google Colab, Hugging Face and Kaggle, developing many AI related Apps, using VS Code .
eing an AI Enthusiast, I started studying how LLMs works, reading many books and practicing via google Colab, Hugging Face and Kaggle, developing many AI related Apps, using VS Code . Here my small contribution.
builder of things people hopefully use and enjoy
Great job, like the vibe and theme
Scorementor.ai is an AI‑powered exam preparation
works, reading many books and practicing via google Colab, Hugging Face and Kaggle, developing many AI related Apps, using VS Code . Here my small contribution.
Founder of Mortgage Modules
Love this concept. How long have you been building it ?
Being an AI Enthusiast, I started studying how LLMs works, reading many books and practicing via google Colab, Hugging Face and Kaggle, developing many AI related Apps, using VS Code .
Hi. I started in December.
Nice positioning for people building local-first AI stacks. A useful next step could be a filter by hardware class (e.g., M-series Mac mini vs GPU workstation) so readers can map model news to realistic deployment options.
Being an AI Enthusiast, I started studying how LLMs works, reading many books and practicing via google Colab, Hugging Face and Kaggle, developing many AI related Apps, using VS Code .
Splendid! This is a good tip. Thanks
interensting concept
Being an AI Enthusiast, I started studying how LLMs works, reading many books and practicing via google Colab, Hugging Face and Kaggle, developing many AI related Apps, using VS Code .
Thanks 😊
Indie Hacker
Love the idea, keep it up!
Being an AI Enthusiast, I started studying how LLMs works, reading many books and practicing via google Colab, Hugging Face and Kaggle, developing many AI related Apps, using VS Code .
Thanks. I will 👌
OpenInk.ai Dream it. Ink it.
interesting product!
Being an AI Enthusiast, I started studying how LLMs works, reading many books and practicing via google Colab, Hugging Face and Kaggle, developing many AI related Apps, using VS Code .
Thanks 🙏
https://vicistack.com/
This is a well-designed tool with a clear use case. The user interface looks clean and straightforward, making it easy for new users to get started. Would love to see more integrations in the future.
Being an AI Enthusiast, I started studying how LLMs works, reading many books and practicing via google Colab, Hugging Face and Kaggle, developing many AI related Apps, using VS Code .
Thanks. I’m working on new stuff. Stay tuned 👌
Noting
interensting idea and implementation
Indie hacker building in public
The fully AI-managed pipeline is a compelling architecture choice — using Ollama locally for article coordination while offloading other logic to a cloud LLM is a pragmatic way to balance cost and capability. The hardware filter idea from comments above is spot on: a section grouping news by deployment context (edge, M-series, consumer GPU) would make this much more actionable for builders. The Chroma DB integration for semantic search over the archive is the killer feature here — would love to see a public API endpoint for querying the news archive.
I'm building ResumizeAI, an AI-powered resume and job application platform.
interensting concept
Build things up
Look and feel is good, love the stats module. You should get a favicon for the site, it will add more feel to it