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@ruchi-sharma created an organization Nimble AppGenie , 3 hours ago.

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@sanjayjoshi shared a post, 21 hours ago

8+ Best Shadcn Collapsible Component Examples for React & Next.js

Shadcn Collapsible components offer a flexible, non-interruptive way to manage secondary content in React and Next.js projects. Unlike accordions or dialogs, they keep users in context while reducing UI clutter. Key variations include sidebar menus, API key managers, and file trees, all of which benefit from Tailwind CSS styling and full ARIA accessibility.

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@alihenryofficial started using tool SAP Commerce Cloud , 21 hours, 15 minutes ago.

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@alihenryofficial started using tool Google Publisher Tag , 21 hours, 15 minutes ago.

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@laura_garcia shared a post, 21 hours ago

Software Developer, RELIANOID

𝗲𝗻𝗮𝗯𝗹𝗲 𝗦𝗲𝗰𝘂𝗿𝗲 𝗕𝗼𝗼𝘁 𝗶𝗻 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗘𝗱𝗶𝘁𝗶𝗼𝗻

𝗦𝗲𝗰𝘂𝗿𝗲 𝗕𝗼𝗼𝘁 + 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 = 𝘴𝘵𝘳𝘰𝘯𝘨𝘦𝘳 𝘵𝘳𝘶𝘴𝘵 from the very first instruction executed. Here's a practical guide on 𝗵𝗼𝘄 𝘁𝗼 𝗲𝗻𝗮𝗯𝗹𝗲 𝗦𝗲𝗰𝘂𝗿𝗲 𝗕𝗼𝗼𝘁 𝗶𝗻 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗘𝗱𝗶𝘁𝗶𝗼𝗻 using the standard shim + MOK approach. 🔐 What’s inside: - Why Secure Boot can’t be enabled on first install - Step-by-step MOK enr..

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@sanjayjoshi gave 🐾 to How To Make a Fast Dynamic Language Interpreter , 23 hours, 55 minutes ago.

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@sanjayjoshi gave 🐾 to A Couple Million Lines of Haskell: Production Engineering at Mercury , 23 hours, 55 minutes ago.

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@sanjayjoshi gave 🐾 to 𝗛𝗮𝗰𝗸 𝗦𝗽𝗮𝗰𝗲 𝗖𝗼𝗻 𝟮𝟬𝟮𝟲 , 23 hours, 55 minutes ago.

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@laura_garcia shared a post, 1 day, 20 hours ago

Software Developer, RELIANOID

𝗛𝗮𝗰𝗸 𝗦𝗽𝗮𝗰𝗲 𝗖𝗼𝗻 𝟮𝟬𝟮𝟲

🚀 𝗛𝗮𝗰𝗸 𝗦𝗽𝗮𝗰𝗲 𝗖𝗼𝗻 𝟮𝟬𝟮𝟲 📍 Kennedy Space Center 📅 May 6–9, 2026 𝙒𝙝𝙚𝙧𝙚 𝙘𝙮𝙗𝙚𝙧𝙨𝙚𝙘𝙪𝙧𝙞𝙩𝙮 𝙢𝙚𝙚𝙩𝙨 𝙨𝙥𝙖𝙘𝙚 𝙞𝙣𝙣𝙤𝙫𝙖𝙩𝙞𝙤𝙣. Hack Space Con is not your typical event — it’s where cybersecurity, aerospace, and advanced technologies converge to shape the future of security beyond Earth. 🔍 𝗪𝗵𝗮𝘁 𝘁𝗼 𝗲𝘅𝗽𝗲𝗰𝘁: - Hands-on techn..

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@varbear shared a link, 1 day, 20 hours ago

FAUN.dev()

A Couple Million Lines of Haskell: Production Engineering at Mercury

Mercury runs ~2M lines ofHaskellin production. They choseTemporalto replace cron and DB-backed state machines. Durable workflows replace brittle coordination. They open-sourced aHaskellSDK forTemporal, wired inOpenTelemetryhooks, and pushed records-of-functions plus domain-error types... read more

Magika is an open-source file type identification engine developed by Google that uses machine learning instead of traditional signature-based heuristics. Unlike classic tools such as file, which rely on magic bytes and handcrafted rules, Magika analyzes file content holistically using a trained model to infer the true file type.

It is designed to be both highly accurate and extremely fast, capable of classifying files in milliseconds. Magika excels at detecting edge cases where file extensions are incorrect, intentionally spoofed, or absent altogether. This makes it particularly valuable for security scanning, malware analysis, digital forensics, and large-scale content ingestion pipelines.

Magika supports hundreds of file formats, including programming languages, configuration files, documents, archives, executables, media formats, and data files. It is available as a Python library, a CLI, and integrates cleanly into automated workflows. The project is maintained by Google and released under an open-source license, making it suitable for both enterprise and research use.

Magika is commonly used in scenarios such as:

- Secure file uploads and content validation
- Malware detection and sandboxing pipelines
- Code repository scanning
- Data lake ingestion and classification
- Digital forensics and incident response