📌 Spotted on GitHub Trending: google-research/timesfm — let's break it down.

🔗 https://github.com/google-research/timesfm
📝 TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
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The TimesFM repository on GitHub is home to a pretrained time-series foundation model developed by Google Research. This model is designed for time-series forecasting, and its key features include support for continuous quantile forecasting and a range of configuration options. To get started, you can install the timesfm package from PyPI using pip install timesfm[torch] or pip install timesfm[flax].

The repository includes a range of examples and documentation, including a fine-tuning example using HuggingFace Transformers and a code example that demonstrates how to use the model for forecasting. The model has been used in a variety of applications, including Google's BigQuery ML and Google Sheets.

From a technical perspective, the model is implemented in both PyTorch and Flax, and supports a range of hardware accelerators. The code is well-organized and includes a range of tests and examples to help you get started.

The TimesFM model is suitable for a range of audiences, including data scientists and machine learning engineers who are interested in time-series forecasting. Whether you're looking to build a forecasting model from scratch or simply want to use a pre-trained model for your own applications, TimesFM is definitely worth checking out.

In short, TimesFM is a powerful tool for time-series forecasting that's easy to use and highly customizable - give it a try and see what it can do for you!

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⚡ twentyhq/twenty is making waves. Here's the full picture.

🔗 https://github.com/twentyhq/twenty
📝 The open alternative to Salesforce, designed for AI.
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The Twenty repository is home to an open-source CRM that's highly customizable. Its key features include defining objects, fields, and views as code, building custom apps, and utilizing version control. To get started, you can npx create-twenty-app my-app to scaffold a new app and then define objects as code, like so:

import { defineObject, FieldType } from 'twenty-sdk/define';

export default defineObject({
  nameSingular: 'deal',
  namePlural: 'deals',
  labelSingular: 'Deal',
  labelPlural: 'Deals',
  fields: [
    { name: 'name', label: 'Name', type: FieldType.TEXT },
    { name: 'amount', label: 'Amount', type: FieldType.CURRENCY },
    { name: 'closeDate', label: 'Close Date', type: FieldType.DATE_TIME },
  ],
});

The repository uses a tech stack that includes TypeScript, Nx, NestJS, PostgreSQL, Redis, React, Jotai, Linaria, and Lingui. This project is ideal for technical teams seeking a flexible CRM solution. Overall, Twenty allows teams to build and ship custom CRMs with ease. Start building your custom CRM today!

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📌 Spotted on GitHub Trending: Kong/insomnia — let's break it down.

🔗 https://github.com/Kong/insomnia
📝 The open-source, cross-platform API client for GraphQL, REST, WebSockets, SSE and gRPC. With Cloud, Local and Git storage.
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Insomnia is an open-source, cross-platform API client that supports various protocols like GraphQL, REST, WebSockets, and more. With Insomnia, you can debug, design, test, and mock APIs, as well as build CI/CD pipelines and collaborate with others. It offers multiple storage options, including Local Vault, Git Sync, and Cloud Sync, allowing you to choose how you want to store your projects and data.

The tool is available for Mac, Windows, and Linux, and can be downloaded from the official website. Insomnia has a generous free plan, and also offers premium features and support for users who need more advanced capabilities.

The project is developed using Node.js and Git, and contributors are welcome to participate. Insomnia is licensed under Apache-2.0, and its documentation is available on the official website.

Whether you're an API developer, tester, or just someone who loves working with APIs, Insomnia is the perfect tool for you: it's the ultimate API client that helps you work smarter, not harder.

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💡 tw93/Pake just hit the trending charts — here's why it matters.

🔗 https://github.com/tw93/Pake
📝 🤱🏻 Turn any webpage into a desktop app with one command.
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Pake is a powerful tool that lets you turn any webpage into a desktop app with just one command. It supports macOS, Windows, and Linux, and is lightweight and fast, built with Rust Tauri.

The key features of Pake include:
- Lightweight: Nearly 20 times smaller than Electron packages
- Fast: Much faster than traditional JS frameworks with lower memory usage
- Easy to use: One-command packaging via CLI or online building
- Feature-rich: Supports shortcuts, immersive windows, drag & drop, style customization, ad removal

You can get started with Pake by downloading ready-made packages or using the CLI Tool for one-command packaging. Advanced users can customize their apps with icons, window settings, and more.

The Pake GitHub repo provides detailed documentation, including CLI Usage Guide and Tauri documentation for development.

The takeaway: With Pake, you can turn any webpage into a desktop app in just one command - it's that simple!

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💡 chopratejas/headroom just hit the trending charts — here's why it matters.

🔗 https://github.com/chopratejas/headroom
📝 Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
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The Headroom library is a context compression layer designed for AI agents, enabling significant reductions in token usage. It achieves this through library, proxy, and agent wrap modes, allowing for flexible integration with various applications. Key features include compress(messages) functionality, a headroom proxy for seamless integration, and support for multiple algorithms.

Technical highlights of Headroom include its ability to compress tool outputs, logs, and conversation history, with a focus on reversible compression that caches originals for retrieval on demand. The solution is designed to work with various AI agents, including Claude, Codex, and others, and offers a range of tools for customization and optimization.

To get started with Headroom, users can install it via pip install headroom-ai[all] or npm install headroom-ai, and then choose their preferred mode of operation. The library provides a range of granular options for customization, including support for specific agents, memory management, and output token reduction.

Headroom's benefits are clear: it preserves accuracy while reducing token usage by 60-95%, making it an essential tool for organizations looking to optimize their AI workflows. With its flexible integration options, customizable features, and commitment to preserving accuracy, Headroom is an attractive solution for businesses and developers seeking to streamline their AI operations.

In short, Headroom is a game-changer for AI token compression, and its potential to revolutionize the way we work with AI agents is vast: compressing the future, one token at a time.

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💡 jamiepine/voicebox just hit the trending charts — here's why it matters.

🔗 https://github.com/jamiepine/voicebox
📝 The open-source AI voice studio. Clone, dictate, create.
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The Voicebox GitHub repository is an open-source AI voice studio that allows you to clone any voice, generate speech, and dictate into any app. This local-first solution provides complete privacy, as your models, voice data, and captures never leave your machine.

Key features include 7 TTS engines, voice cloning, 23 languages, post-processing effects, and unlimited length generation. You can use Voicebox to create expressive speech with paralinguistic tags, and it also supports voice input with a global dictation hotkey.

The technical highlights of Voicebox include its REST API, MCP server, and native performance built with Tauri (Rust). It runs everywhere, including macOS, Windows, Linux, and Docker.

Voicebox is perfect for developers, content creators, and anyone looking for a powerful, private, and customizable voice studio.

In short, Voicebox is the ultimate voice studio that puts you in control of your voice - literally.

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🔥 Kilo-Org/kilocode is trending — and it deserves your attention.

🔗 https://github.com/Kilo-Org/kilocode
📝 Kilo is the all-in-one agentic engineering platform. Build, ship, and iterate faster with the most popular open source coding agent.
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Kilo Code is an open-source coding agent that integrates with VS Code, JetBrains, and the CLI, providing AI-powered coding assistance. With 500+ models to choose from, you can switch between them mid-task and pay the model provider's rate with no markup. It offers features like code generation, inline autocomplete, and self-checking.

To get started, you can install Kilo Code via the npm package manager by running

npm install -g @kilocode/cli

or through other package managers like curl, pnpm, or bun. For VS Code, you can install the Kilo Code extension directly or from the VS Code Marketplace.

Kilo Code has various agents for different tasks, including Code, Plan, Ask, Debug, and Review. It also supports autonomous mode for CI/CD pipelines and has a marketplace for extending its capabilities.

The Kilo Code community welcomes contributions from developers, writers, and everyone in between. To get involved, start with the Contributing Guide and review the Code of Conduct.

Join the community today and experience the power of AI-assisted coding. With Kilo Code, you can code faster, smarter, and more efficiently - it's like having a superpower in your code editor!

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💡 mattpocock/skills just hit the trending charts — here's why it matters.

🔗 https://github.com/mattpocock/skills
📝 Skills for Real Engineers. Straight from my .claude directory.
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The mattpocock/skills GitHub repository is a collection of skills designed to help real engineers develop applications more efficiently. The skills are small, adaptable, and work with any model, based on decades of engineering experience.

Key features include grilling sessions to align with the agent before starting a project, a shared language to reduce verbosity, and feedback loops to improve code quality. The skills are categorized into engineering, productivity, and misc sections.

To use these skills, simply run the skills.sh installer and select the skills you want to install. Then, run the /setup-matt-pocock-skills command to configure the skills for your project.

These skills are perfect for engineers who want to take control of their development process and produce high-quality code. With these skills, you can ship the best apps of your career - and that's a skill worth mastering.

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🧠 Channel: https://xn--r1a.website/GithubRe