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๐Ÿ’ก cupy/cupy just hit the trending charts โ€” here's why it matters.

๐Ÿ”— https://github.com/cupy/cupy
๐Ÿ“ NumPy & SciPy for GPU
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CuPy is a NumPy/SciPy-compatible array library for GPU-accelerated computing with Python. It acts as a drop-in replacement to run existing NumPy/SciPy code on NVIDIA CUDA or AMD ROCm platforms.

You can use cupy by simply importing it:
import cupy as cp
x = cp.arange(6).reshape(2, 3).astype('f')
print(x.sum(axis=1))


CuPy provides access to low-level CUDA features, including RawKernels and Streams for performance optimization. It's perfect for data scientists, machine learning engineers, and researchers looking to accelerate their computations.

You can install CuPy using Pip or Conda, and it's also available as a Docker image. CuPy is MIT-licensed and developed by Preferred Networks and community contributors.

CuPy is a game-changer for Python developers: Unleash the power of your GPU with just one import statement!

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๐Ÿ“Œ Spotted on GitHub Trending: altic-dev/FluidVoice โ€” let's break it down.

๐Ÿ”— https://github.com/altic-dev/FluidVoice
๐Ÿ“ FluidVoice - Fastest macOS Offline Dictation app - Voice to Text fully Local. One โญ takes us a long way :))
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FluidVoice is an open-source voice-to-text dictation app for macOS that utilizes on-device AI enhancement for smart formatting, context-aware capitalization, and post-processing. The app supports various speech models, including Nemotron Speech 3.5, Parakeet Flash, and Whisper, and allows users to choose their preferred model based on language and latency needs.

Key features include Command Mode for controlling Mac by voice, Write Mode for writing or rewriting text in any text field, Live Preview for real-time transcription overlay, and Multiple Speech Models for flexibility.

To install FluidVoice, use Homebrew:
brew install --cask fluidvoice
or download the latest release.

The app is designed for individuals who value privacy and want a seamless dictation experience. With its local-first approach, FluidVoice ensures that user data never leaves the machine unless opted-in to a cloud AI provider.

Overall, FluidVoice is a powerful tool for anyone looking for a reliable and private dictation solution on macOS. Give your fingers a break and let FluidVoice do the typing for you.

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๐Ÿ’ก soxoj/maigret just hit the trending charts โ€” here's why it matters.

๐Ÿ”— https://github.com/soxoj/maigret
๐Ÿ“ ๐Ÿ•ต๏ธโ€โ™‚๏ธ Collect a dossier on a person by username from 3000+ sites
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Maigret is a powerful tool that collects information about a person by username only, checking for accounts on over 3,000 sites. It gathers available information from web pages without requiring API keys. The tool supports recursive search, AI analysis mode, and allows filtering by tags. maigret can be used as a Python library and has a web interface for browsing results as a graph and downloading reports.

To get started, simply run
pip install maigret
and then
maigret YOUR_USERNAME
. No install? Try the community Telegram bot or a Cloud Shell.

Maigret is ideal for OSINT investigators, security researchers, and social media analysts looking to gather insights about individuals or organizations.

One-liner takeaway: Maigret is the ultimate username tracker that helps you uncover hidden profiles and connections across the web in minutes.

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โšก commaai/openpilot is making waves. Here's the full picture.

๐Ÿ”— https://github.com/commaai/openpilot
๐Ÿ“ openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
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openpilot is an operating system for robotics that upgrades the driver assistance system in over 300 supported cars. Its key features include a quick start process with a simple command: . To use openpilot in a car, you'll need a supported device (like a comma four), software (installable via a URL), a supported car, and a car harness.

The project has several branches, including a release-mici branch for the latest release and a nightly branch for the bleeding-edge development version. It's developed by comma and the open-source community, with contributions welcome via pull requests and issues on GitHub.

From a technical perspective, openpilot observes ISO26262 guidelines and has software-in-the-loop tests that run on every commit. The code is MIT licensed, and the project has a strong focus on safety and testing, with a hardware-in-the-loop test suite and continuous replay of routes in a testing environment.

openpilot is perfect for developers, robotics enthusiasts, and car owners looking to upgrade their vehicles with cutting-edge driver assistance technology.
Get ready to shift your driving experience into high gear with openpilot - the future of driving is here!

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๐Ÿš€ Meet ripienaar/free-for-dev: a gem from today's GitHub trending list.

๐Ÿ”— https://github.com/ripienaar/free-for-dev
๐Ÿ“ A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
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The free-for-dev GitHub repository is a curated list of software and services offering free tiers for developers. Its purpose is to help infrastructure developers, such as System Administrators and DevOps Practitioners, find useful services without having to search extensively.

The repository includes a wide range of services, from Major Cloud Providers like Google Cloud, Amazon Web Services, Microsoft Azure, Oracle Cloud, and IBM Cloud, to Cloud management solutions, Analytics, APIs, CI and CD, and many more.

To be included in the list, a service must offer a free tier, not just a free trial, with the free tier being available for at least a year if it is time-bucketed. The list is opinionated and focused on services that are useful for infrastructure developers.

The repository is the result of contributions from over 1600 people and is open to Pull Requests to add or remove services.

Overall, free-for-dev is a valuable resource for developers looking to take advantage of free services to build, deploy, and manage their applications.

With free-for-dev, you can build more and pay less.

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๐Ÿ” Deep-diving into logto-io/logto โ€” fresh off the trending list.

๐Ÿ”— https://github.com/logto-io/logto
๐Ÿ“ ๐Ÿง‘โ€๐Ÿš€ Authentication and authorization infrastructure for SaaS and AI apps, built on OIDC and OAuth 2.1 with multi-tenancy, SSO, and RBAC.
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Logto is the modern, open-source auth infrastructure for SaaS and AI apps, making it easy to build secure, production-ready auth with multi-tenancy, enterprise SSO, and RBAC. It takes the pain out of OIDC and OAuth 2.1, offering pre-built sign-in flows, customizable UIs, and SDKs for 30+ frameworks.

Key features include multi-tenancy, enterprise SSO, and RBAC, as well as full support for OIDC, OAuth 2.1, and SAML. To get started, you can pick from Logto Cloud, Launch Logto in GitPod, or local development using Docker Compose or Node.js.

curl -fsSL https://raw.githubusercontent.com/logto-io/logto/HEAD/docker-compose.yml | \
docker compose -p logto -f - up


Audience: Developers and teams scaling SaaS, AI, and agent-based platforms. With Logto, you get flexible integration, ready-to-use features, and a developer-first approach.
One-liner takeaway: Logto simplifies auth infrastructure, making it easier to build secure, production-ready apps with a few lines of code!

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๐Ÿ’ก xbtlin/ai-berkshire just hit the trending charts โ€” here's why it matters.

๐Ÿ”— https://github.com/xbtlin/ai-berkshire
๐Ÿ“ AI ๆ—ถไปฃ็š„ไผฏๅ…‹ๅธŒๅฐ”๏ผšๅŸบไบŽ Claude Code / Codex ็š„ไปทๅ€ผๆŠ•่ต„็ ”็ฉถๆก†ๆžถใ€‚ๅทด่ฒ็‰นยท่Š’ๆ ผยทๆฎตๆฐธๅนณยทๆŽๅฝ•ๅ››ๅคงๅธˆๆ–นๆณ•่ฎบ + ๅคšAgentๅนถ่กŒ็ ”็ฉถใ€‚| AI-era Berkshire: a value investing research framework built for Claude Code / Codex. 4 masters' methodologies + multi-agent adversarial analysis.
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A Comprehensive Investment Research Framework: AI Berkshire

The ai-berkshire repository on GitHub presents a unique investment research framework that leverages AI to analyze companies and industries. This framework is designed to mimic the investment strategies of four renowned value investors: Warren Buffett, Charlie Munger, Zhang Yongping, and Li Lu.

Key Features:

* /investment-research: A comprehensive research framework that analyzes companies based on seven modules, including business quality, moat, financials, management, and more.
* /investment-team: A team-based research approach that utilizes four AI agents to analyze a company in parallel, providing a more comprehensive and nuanced view.
* /industry-research: A full-spectrum industry research framework that identifies investment opportunities across an entire industry.
* /industry-funnel: A funnel-based approach to screen and select companies within a specific industry.

Usage:

The framework can be used by installing the required AI client and skills, and then invoking the specific skills using commands. For example:

npm install -g @anthropic-ai/claude-code
git clone https://github.com/xbtlin/ai-berkshire.git
cd ai-berkshire
./scripts/install-claude-commands.sh
/investment-research ่…พ่ฎฏ
/earnings-review ่…พ่ฎฏ 2025Q4
/industry-funnel AI็ฎ—ๅŠ›


Technical Highlights:

* The framework utilizes a combination of natural language processing (NLP) and machine learning algorithms to analyze companies and industries.
* It incorporates a range of data sources, including financial statements, news articles, and industry reports.
* The framework is designed to be highly customizable, allowing users to tailor their research approach to their specific needs and preferences.

Audience:

The AI Berkshire framework is suitable for a range of users, including:

* Professional investors and analysts
* Individual investors looking to conduct in-depth research
* Researchers and academics interested in investment analysis and AI applications

Punchy One-Liner Takeaway:

The AI Berkshire framework offers a powerful and flexible tool for investment research, enabling users to leverage the collective wisdom of four renowned value investors and uncover hidden gems in the market.

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