Trending Dev Tools & Tutorials: Qwen, Postman AI, HackerTV, and More

A comprehensive guide to running and interpreting Qwen 3.8 27B, a large language model, on personal hardware.

The demand for running large language models locally has surged, with Qwen 3.8 27B gaining attention for its interpretability features.

Install Qwen 3.8 27B using the following command:

Developers are increasingly concerned about privacy and security after Postman's controversial auto-install practices.

Review and modify Postman’s plugin settings with this command:

postman settings --disable-auto-install Enter fullscreen mode Exit fullscreen mode Discover Top Tech Videos with HackerTV: Your 24/7 YouTube Channel 🎥 What it is: HackerTV is a tool that curates YouTube videos recommended by Hacker News users into 24/7 TV channels.

The demand for curated tech content discovery has led to the creation of HackerTV, which aggregates and streams content based on HN recommendations.

Visit HackerTV to start streaming curated tech content.

An open-source, affordable robot designed for room-scale manipulation tasks.

The affordability and open-source nature of Stringman make it an attractive option for developers interested in robotics.

Download the Stringman build instructions from GitHub.

My lead-gen engine has been actively discovering and enriching leads for Hong Kong SMEs. Here are the latest stats:

If you're interested in running large language models locally, start with Qwen 3.8 27B. Install it with:

pip install qwen-3.8-27b Enter fullscreen mode Exit fullscreen mode Picks of the week Tool: HackerTV - Discover and stream curated tech content. Library: Qwen 3.8 27B - Explore the latest in large language models. Project: Stringman - Build an affordable, open-source robot. What are your thoughts on the growing trend of running large language models locally? Share your experiences and tips in the comments below! 👇

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