Send emails with Bolt.new and Mailtrap
Learn how to integrate Mailtrap with your Bolt.new application to send transactional emails and manage contacts without writing complex code.
Updates and recent posts about Magika.. Story
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@anjali shared a link, 3 months, 2 weeks ago
Customer Marketing Manager, Last9
APM for Kubernetes: Monitor Distributed Applications at Scale
Understand Kubernetes APM by linking request flows with pod, node, and cluster data to get complete visibility at scale.
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@laura_garcia shared a post, 3 months, 3 weeks ago
Software Developer, RELIANOID
🌊 Load Balancing Smart Wave with RELIANOID — Built for Marine Telemetry
The Smart Wave platform is key for real-time telemetry from offshore buoys, vessels, and coastal stations. But how do you ensure it performs reliably — even over satellite links? We've published a new technical guide showing how to load balance Smart Wave using RELIANOID: ✅ MQTT & TCP ingestion for ..
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@faun shared a link, 3 months, 3 weeks ago
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What makes Claude Code so damn good (and how to recreate that magic in your agent)!?
Claude Code skips the multi-agent circus. One main loop. At most, one fork in the road. Everything runs through a flat message history, tracked by a tidy little to-do list. Over half its LLM calls? Outsourced to lighter, cheaper models likeclaude-3-5-haiku. Smart split: heavyweight reasoning when y.. read more
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@faun shared a link, 3 months, 3 weeks ago
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My Own DNS Server At Home
RunningBIND on Fedora with Podmanputs you in the driver’s seat—local DNS, full zone control, and no third-party middlemen. It handles staticforward/reverse zonesacross multiple IPv4 subnets, skips the mess of dynamic updates, and plugs into your router as a recursiveforwarding resolver. Call it a se.. read more
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@faun shared a link, 3 months, 3 weeks ago
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Closer to the Metal: Leaving Playwright for CDP
The Browser-Use crew ditched Playwright and went straight to the Chrome DevTools Protocol. Why? Speed. Way faster element scraping, screenshots, and async automation. They didn't stop there—cooked up a custom CDP Python client with strong type safety, an event-driven core, and real support for crash.. read more
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@faun shared a link, 3 months, 3 weeks ago
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Redis to acquire Decodable
Redis is buyingDecodable, the real-time streaming startup, to crank up itsRedis Data Integration (RDI)and beef up real-time data ingestion. Decodable’s stack lands in Redis Cloud first, syncing outside data into Redis fast enough to feed hungry AI agents real context. What's really happening:Redis i.. read more
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@faun shared a link, 3 months, 3 weeks ago
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Top Tech Conferences & Events to Add to Your Calendar in 2025
Check out TechRepublic's events guide for a list of upcoming conferences, some of which are in-person and others that are virtual or hybrid. This list will be updated periodically to include new events and details... read more
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@faun shared a link, 3 months, 3 weeks ago
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How we migrated our Rush.js monorepo to Node type stripping
Calm gutted a 10-year-old Rush.js monorepo and came out faster, cleaner, and way less tangled. The team dropped transpilation, ditched source maps, and went all-in onNode type strippingwithnative ESM. Local dev sped up by 30–40%. CI jobs? 3–6 minutes faster. The overhaul hit everything: killed stubb.. read more
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@faun shared a link, 3 months, 3 weeks ago
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The Programming Skills You Need for Today's Data Roles
New tutorials dig into usingLabel Studio + Dockerto tighten up object detection pipelines—and how to squeeze more out ofRabbitMQ + Celerywithout breaking your queue (or your spirit). Other writeups get into the weeds with LLM monitoring,Bayesian hyperparameter search, and Google’s freshly droppedLan.. read more
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
