gitcrawl is a local-first GitHub triage tool and a drop-in caching shim for the gh CLI. It mirrors repository issues and pull requests into a local SQLite database, enabling semantic clustering and full-text search while preventing API rate limit exhaustion. This setup allows maintainers and AI agents to perform heavy read operations against a local cache rather than live GitHub servers.
Main features:
Local SQLite storage for all issue, PR, and commit metadata.
A gh-compatible shim that handles most read-only calls locally.
Semantic clustering using OpenAI embeddings to group related reports.
An interactive terminal UI for cluster browsing.
JSON support for easy automation with AI agents.
Main features:
Local SQLite storage for all issue, PR, and commit metadata.
A gh-compatible shim that handles most read-only calls locally.
Semantic clustering using OpenAI embeddings to group related reports.
An interactive terminal UI for cluster browsing.
JSON support for easy automation with AI agents.
>"Orange Pi is an open source single-board card computer, a new generation of arm64 development board, which can run operating systems such as Android TV 12, Ubuntu and Debian. The Orange Pi Zero 2w development board uses the Allwinner H618 system-on-chip, and can optionally have 1GB or 1.5GB or 2GB or 4GB LPDDR4 memory."
Researchers at MIT CSAIL have developed the Y-zipper, a three-sided fastener that enables objects to transition between flexible and rigid states. Inspired by a decades-old patent from Professor Bill Freeman, this new mechanism uses an automated software tool and 3D printing technology to create custom shape-shifting structures. The device can be used to quickly assemble camping gear, adjust medical wearables like wrist casts, or enable robots to change their limb dimensions for varied terrain.
* Three-sided triangular design for tunable stiffness
* Automated customization via software and 3D printing
* Rapid transition between soft and rigid states
* Versatile applications in robotics, medical gear, and outdoor equipment
* Three-sided triangular design for tunable stiffness
* Automated customization via software and 3D printing
* Rapid transition between soft and rigid states
* Versatile applications in robotics, medical gear, and outdoor equipment
An exploration of an experiment involving connecting a local Large Language Model to Home Assistant to control a smart light bulb. By assigning the AI a specific persona through custom system prompts, the author attempted to make the lighting respond emotionally to environmental data. While successful in creating reactive lighting, the experience ultimately became unsettling as the model made autonomous decisions without direct input.
- Connecting local LLMs via LM Studio and Home Assistant
- Using system prompts to define device personalities
- Automating smart bulb color and brightness through AI reasoning
- The psychological impact of unsupervised AI autonomy in a smart home environment
- Connecting local LLMs via LM Studio and Home Assistant
- Using system prompts to define device personalities
- Automating smart bulb color and brightness through AI reasoning
- The psychological impact of unsupervised AI autonomy in a smart home environment
A collection of various LiDAR and ToF (Time-of-Flight) sensing solutions including 360 degree laser range scanners, depth cameras for ROS, and single-point ranging sensors. The selection features technologies such as DTOF, solid-state LiDAR, and RGB-D cameras suitable for SLAM and interactive AI applications.
Key product types:
RPLiDAR series (A1M8, A2M12, S2L, etc.)
STL DTOF sensors
CS depth cameras for ROS
TF series single-point ranging sensors
YDLIDAR linear array solid state LiDAR
Key product types:
RPLiDAR series (A1M8, A2M12, S2L, etc.)
STL DTOF sensors
CS depth cameras for ROS
TF series single-point ranging sensors
YDLIDAR linear array solid state LiDAR
This page provides download options and build information for the Orange Pi Zero2W board using Armbian. It features a Debian Minimal variant based on Debian 13 trixie with kernel version 6.18.26. Users can download the image directly or via torrent, and instructions are included for building the image from source using the Armbian framework.
Main topics:
- Available software variants and distributions
- Kernel version information
- Download links and file sizes
- Instructions for manual builds from source
Main topics:
- Available software variants and distributions
- Kernel version information
- Download links and file sizes
- Instructions for manual builds from source
A specialized toolset providing graphical data visualizations for ADS-B decoders, including readsb, dump1090-fa, and other dump1090 variants that supply stats.json files. The project includes automated installation scripts and features designed to protect SD card longevity on hardware like the Raspberry Pi by managing how frequently data is written to disk.
Main topics:
- ADS-B decoder graph visualization
- SD card write reduction and optimization
- Automated installation and update processes
- Data backup, restoration, and integration methods
- Configuration for local map URLs and system timezones
Main topics:
- ADS-B decoder graph visualization
- SD card write reduction and optimization
- Automated installation and update processes
- Data backup, restoration, and integration methods
- Configuration for local map URLs and system timezones
PiShrink is a bash script designed to automatically shrink Raspberry Pi images, making them easier to store and faster to flash onto SD cards. Once the shrunk image is booted, it will automatically resize itself to match the maximum capacity of the target SD card. The tool also supports compression using gzip and xz, with an option for parallel compression across multiple CPU cores to improve speed.
Key points:
- Automatic shrinking of Raspberry Pi images
- Boot-time filesystem expansion to full SD card size
- Support for parallel multi-core compression
- Compatibility with Linux, Windows (via WSL 2), and macOS (via Docker)
Key points:
- Automatic shrinking of Raspberry Pi images
- Boot-time filesystem expansion to full SD card size
- Support for parallel multi-core compression
- Compatibility with Linux, Windows (via WSL 2), and macOS (via Docker)
Lightpanda is a high-performance, lightweight browser engine built from scratch using the Zig programming language. Designed specifically for automation, web crawling, and AI agents, it eliminates the overhead of graphical rendering to provide massive improvements in speed and resource efficiency compared to traditional browsers like Chrome.
Key features and benefits:
- Built with Zig for low-level performance and memory efficiency.
- Optimized for headless operation without unnecessary rendering code.
- Significantly faster execution (up to 9x) and much lower memory usage (up to 16x less).
- Compatible with existing automation tools like Puppeteer and Playwright via CDP support.
- Provides isolated environments to improve security for automated tasks.
Key features and benefits:
- Built with Zig for low-level performance and memory efficiency.
- Optimized for headless operation without unnecessary rendering code.
- Significantly faster execution (up to 9x) and much lower memory usage (up to 16x less).
- Compatible with existing automation tools like Puppeteer and Playwright via CDP support.
- Provides isolated environments to improve security for automated tasks.
Obscura is an open-source, lightweight headless browser engine written in Rust, specifically designed for web scraping and AI agent automation. It serves as a high-performance replacement for headless Chrome, offering significantly lower memory usage and faster page load times. The engine runs real JavaScript via V8 and supports the Chrome DevTools Protocol, making it compatible with Puppeteer and Playwright.
Key features include:
- Built-in stealth mode with anti-fingerprinting and tracker blocking capabilities.
- High efficiency with minimal memory footprint (approx 30 MB) and instant startup.
- Support for parallel scraping via CLI and CDP server integration.
- Seamless compatibility with existing Puppeteer and Playwright workflows.
Key features include:
- Built-in stealth mode with anti-fingerprinting and tracker blocking capabilities.
- High efficiency with minimal memory footprint (approx 30 MB) and instant startup.
- Support for parallel scraping via CLI and CDP server integration.
- Seamless compatibility with existing Puppeteer and Playwright workflows.
