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Geek Labs

Daily shares of interesting GitHub open-source projects. AI tools, automation gems, technical tutorials, open-source inspiration.

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Latest from Geek Labs

84 recent articles
Geek Labs
Geek Labs
May 17, 2026 · Industry Insights

Four Must‑Watch GitHub Projects: Bitlocker Exploit, ESP32 Dashboard, AI‑Powered 3D Generation, and A‑Share Data Toolkit

This article highlights four recent GitHub projects—YellowKey exposing a Windows 11 Bitlocker bypass, Clawdmeter delivering an ESP32‑S3 desktop dashboard for Claude Code usage, Pixal3D enabling single‑image 3D asset creation, and a‑stock‑data providing a comprehensive AI‑driven A‑share data toolkit—detailing their core mechanisms, hardware/software specs, and quick‑start instructions.

AI 3D generationA‑share dataBitLocker
0 likes · 12 min read
Four Must‑Watch GitHub Projects: Bitlocker Exploit, ESP32 Dashboard, AI‑Powered 3D Generation, and A‑Share Data Toolkit
Geek Labs
Geek Labs
May 16, 2026 · Artificial Intelligence

Low‑Code AI App Builders Compared: Langflow, Flowise, Dify, SuperAGI & Bee Agent

This article reviews five popular open‑source low‑code AI application platforms—Langflow, Flowise, Dify, SuperAGI and Bee Agent—detailing their core features, supported tech stacks, typical users, and providing a side‑by‑side comparison to help developers choose the right tool for their workflow.

Bee AgentDifyFlowise
0 likes · 10 min read
Low‑Code AI App Builders Compared: Langflow, Flowise, Dify, SuperAGI & Bee Agent
Geek Labs
Geek Labs
May 15, 2026 · Artificial Intelligence

4 Emerging GitHub Dark Horse Projects: Cross‑Platform Desktop, AI Coding, NLP, and Visual Agents

This article reviews four recently launched GitHub projects—zero-native for lightweight Zig‑based cross‑platform desktop apps, CodexPlusPlus extending AI‑coding tool CodexApp, natural language autoencoders advancing NLP representation learning, and Photo‑agents pioneering visual‑driven self‑evolving agents—detailing their motivations, key features, and quick‑start instructions.

CodexPlusPlusPhoto-agentsZig
0 likes · 10 min read
4 Emerging GitHub Dark Horse Projects: Cross‑Platform Desktop, AI Coding, NLP, and Visual Agents
Geek Labs
Geek Labs
May 13, 2026 · Artificial Intelligence

Two LLM Inference Acceleration Projects: A Mac‑Local Engine vs a Data‑Center Engine

This article compares two recent GitHub LLM inference engines—ds4.c, a Metal‑optimized engine for DeepSeek V4 Flash on Apple Silicon Macs, and TokenSpeed, a Python/C++‑based, data‑center‑grade engine for GPU clusters—detailing their design choices, performance numbers, usage instructions, and suitable scenarios.

DeepSeekGPULLM
0 likes · 8 min read
Two LLM Inference Acceleration Projects: A Mac‑Local Engine vs a Data‑Center Engine
Geek Labs
Geek Labs
May 12, 2026 · Operations

Four Open-Source Command-Line Tools to Supercharge Your Docs: Office, Markdown, PDF, and PPT

Discover four lightweight, free, open-source command-line utilities—OfficeCLI for AI‑driven Office file manipulation, glow for terminal Markdown viewing, ppt‑master for converting documents into editable PowerPoint slides, and KillerPDF for fast PDF editing—each designed to boost developer and office productivity without costly software.

Command LineKillerPDFOfficeCLI
0 likes · 7 min read
Four Open-Source Command-Line Tools to Supercharge Your Docs: Office, Markdown, PDF, and PPT
Geek Labs
Geek Labs
May 11, 2026 · Artificial Intelligence

Why AI Translators Feel Mechanical and This Tool Makes PDFs Read Like Chinese

Most AI translation services produce literal, word‑for‑word output that reads like machine‑generated text, but the open‑source Cuimao Translator on GitHub analyzes the source’s style, tone, and domain before rendering English PDFs into fluent, context‑aware Chinese using five translation modes and six built‑in quality checks.

AI translationChinese localizationClaude Code
0 likes · 8 min read
Why AI Translators Feel Mechanical and This Tool Makes PDFs Read Like Chinese
Geek Labs
Geek Labs
May 11, 2026 · Artificial Intelligence

Train a 64M LLM from Scratch in 2 Hours for $3 and Master LLM Systems

This article introduces two open‑source projects—MiniMind, which lets you train a 64M‑parameter LLM in about two hours for under $3, and Happy‑LLM, a systematic tutorial that explains LLM theory and practice—detailing their features, training pipelines, benchmarks, data, and how they complement each other for comprehensive LLM learning.

AIHappy-LLMLLM
0 likes · 7 min read
Train a 64M LLM from Scratch in 2 Hours for $3 and Master LLM Systems