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@ruchi-sharma created an organization Nimble AppGenie , 3 hours, 13 minutes 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, 28 minutes ago.

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@alihenryofficial started using tool Google Publisher Tag , 21 hours, 28 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 , 1 day ago.

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@sanjayjoshi gave 🐾 to A Couple Million Lines of Haskell: Production Engineering at Mercury , 1 day ago.

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@sanjayjoshi gave 🐾 to 𝗛𝗮𝗰𝗸 𝗦𝗽𝗮𝗰𝗲 𝗖𝗼𝗻 𝟮𝟬𝟮𝟲 , 1 day 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

BigQuery is a cloud-native, serverless analytics platform designed to store, query, and analyze massive volumes of structured and semi-structured data using standard SQL. It separates storage from compute, automatically scales resources, and eliminates the need for infrastructure management, indexing, or capacity planning.

BigQuery is optimized for analytical workloads such as business intelligence, log analysis, data science, and machine learning. It supports real-time data ingestion via streaming, batch loading from cloud storage, and federated queries across external data sources like Cloud Storage, Bigtable, and Google Drive.

Query execution is distributed and highly parallel, enabling interactive performance even on petabyte-scale datasets. The platform integrates deeply with the Google Cloud ecosystem, including Looker for BI, Vertex AI for ML workflows, Dataflow for streaming pipelines, and BigQuery ML, which allows users to train and run machine learning models directly using SQL.

Built-in security features include fine-grained IAM controls, column- and row-level security, encryption by default, and audit logging. BigQuery follows a consumption-based pricing model, charging for storage and queries (on-demand or reserved capacity).