Want a scraping tool that scales from 1 request to 1,000+ without rewriting your code? Most scraping setups work fine... until you need to scale. Then you start fighting: ❌ Rate limits ❌ Failed requests ❌ Bot detection ❌ Endless retry logic ❌ Infrastructure headaches We found an open-source framework that handles all of this for you. ✅ Intelligent retries ✅ Robust request handling ✅ Scalable crawling controls ✅ Scheduled scraping jobs ✅ Multi-page data extraction ✅ Built-in protection against common bot traps Whether you're pulling a few pages of data or running large-scale crawls, it gives you a production-ready foundation without building everything from scratch. Perfect for: • Developers • Growth teams • Automation engineers • Data-driven businesses Less time debugging. More time using the data. Comment "LINK" and I'll send you the details

Midjourney has officially made V8.1 the default model, and this update brings much more than a simple version change. Here are the biggest improvements: ✨ Better Prompt AdherenceV8.1 follows complex prompts more accurately, making it easier to get the results you want without extensive prompt tweaking. 📝 Improved Text RenderingText generated within images is now clearer and more readable, which is especially useful for posters, ads, presentations, and product mockups. 🖼️ Higher Image QualityExpect sharper details, more coherent compositions, and better overall consistency compared to previous versions. 🔍 Upgraded HD ModeHD images are now generated at 2× dimensions and 4× resolution, making them suitable for professional and print-quality projects. ⚡ Faster Generation SpeedsImage creation is noticeably quicker, allowing for faster experimentation and iteration. 🔄 V8.1 Is Now the DefaultThe V8.0 Alpha model is being phased out as Midjourney transitions users to V8.1. 💡 Why This Matters ✅ Better results with less prompt engineering ✅ Improved text generation inside images ✅ Faster creative workflows ✅ Higher-quality outputs for professional use For those using Midjourney regularly, this is one of the most impactful updates in recent months and is worth exploring.

A new example of AI moving beyond chatbots has emerged with the launch of "Go", an AI-powered shopping assistant inside the Gopuff app. 🔹 What is Go? Go is powered by Grok's AI models and can help users shop more efficiently by: ✅ Understanding voice and text requests ✅ Creating personalized shopping carts ✅ Recommending products based on previous purchases ✅ Assisting with tasks such as meal planning and grocery shopping ✅ Using text, audio, and image AI capabilities for a more interactive experience 💡 Why is this important? This update showcases the growing trend of AI Agents—AI systems that don't just answer questions but can also help users complete tasks and make decisions. Instead of searching for products manually, users can simply describe what they need, and the AI helps build the shopping experience for them. 🎓 Learning Takeaway This is a practical example of:• AI Agents• Personalization• Voice AI• Multimodal AI (Text + Voice + Images)• AI in E-commerce As AI continues to evolve, we can expect more applications where AI acts as an assistant capable of performing real-world tasks rather than simply providing information. 🤔 Would you trust an AI assistant to handle your shopping needs?

Make has introduced an improvement to the webhook inspection experience, making it much easier to view and understand webhook payloads directly inside scenarios. ✨ Highlights 🔹 Three Visual Status StatesInstantly identify whether your webhook is actively listening, has successfully detected data, or is still waiting for a test request. 🔹 Clear Status VisibilityDedicated colors, icons, and messages make it easy to understand the current state and next action without scanning through detailed information. 🔹 Simplified Field MappingDetected fields are displayed automatically once sample data is received, helping you verify that your data structure is ready for mapping. 🔹 Guided Setup ExperienceBuilt-in prompts provide clear instructions when no sample data is available, ensuring a smoother and more intuitive webhook configuration process.

Anthropic has introduced Claude Fable 5, a new Mythos-class model that is now available for general use. From the early benchmarks shared, it appears to be their most capable public model so far, especially in software engineering, research, reasoning, and complex knowledge work. What stands out is that Fable 5 is designed to handle long-running tasks and multi-step workflows. This could make it useful for: - Building and debugging applications - Creating AI-powered automations - Research and data analysis - Documentation, reporting, and knowledge management For developers and automation enthusiasts, this opens up interesting possibilities. Imagine AI agents that can work through large projects, generate code, and continue improving solutions over time with minimal supervision. ⚠️ There is one important limitation. For requests involving areas such as cybersecurity, biology, chemistry, or model distillation, Anthropic applies additional safeguards. In those cases, requests may be routed to a different model to reduce potential misuse. Overall, Fable 5 feels like Anthropic's attempt to bring Mythos-level capabilities to a wider audience while keeping sensible safety controls in place. It will be interesting to see how it performs in real-world automation and app-building projects.