10+ Shadcn Table Components, Blocks & Tools
A curated list of Shadcn table components and blocks you can use in React and Next.js projects to build clean, flexible, and production-ready data tables faster.
Updates and recent posts about Magika..
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Story Keploy Team
@sancharini shared a post, 20ย hours ago
Black Box Testing Techniques to Improve Test Coverage
Learn black box testing techniques to improve test coverage. Explore methods like equivalence partitioning, boundary value analysis, and more with practical examples.
Story
@laura_garcia shared a post, 21ย hours ago
Software Developer, RELIANOID
๐ช๐ผ๐ฟ๐น๐ฑ ๐ค๐๐ฎ๐ป๐๐๐บ ๐๐ฎ๐
๐ ๐ช๐ผ๐ฟ๐น๐ฑ ๐ค๐๐ฎ๐ป๐๐๐บ ๐๐ฎ๐ ๐ถ๐ ๐ต๐ฒ๐ฟ๐ฒโฆ and itโs not just science fiction anymore. Quantum computing is rapidly moving from theory to realityโand with it comes a ๐บ๐ฎ๐๐๐ถ๐๐ฒ ๐๐ต๐ถ๐ณ๐ ๐ถ๐ป ๐ฐ๐๐ฏ๐ฒ๐ฟ๐๐ฒ๐ฐ๐๐ฟ๐ถ๐๐ that organizations simply canโt ignore. Hereโs the uncomfortable truth: ๐ The same technology that promises breakthrou..
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@hamzmu shared a link, 1ย day, 13ย hours ago
Fellow, Rootly
Using Graphify to turn Incident Data into a Knowledge Graph
Karpathy said we should build LLM knowledge bases. 48 hours later made Graphify was made: one command, full semantic knowledge graph.
We applied the idea to incident data turning them into a queryable and interactable semantic graph. This lets us see past fixes, predict failures, cluster services, cut alert noise, and reveal team load in seconds.
If youโre using Rootly, here is a small plugin to explore your incident data.
Check it out: github.com/Rootly-AI-Labs/rootly-graphify-importer
Story
@laura_garcia shared a post, 1ย day, 14ย hours ago
Software Developer, RELIANOID
Strengthen Your MFA with Google Authenticator and RELIANOID
๐ Strengthen Your MFA with Google Authenticator and RELIANOID At RELIANOID, we take authentication seriously. We've just published a new technical guide on how to integrate Google Authenticator into the RELIANOID MFA Portal, using Active Directory or LDAP to manage user secrets. โ Understand TOTP vs..
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@roock started using tool PostgreSQL , 4ย days, 7ย hours ago.
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
