Softr’s Post

https://lnkd.in/ggXAdfXC A tool for automatically converting mitmproxy captures to OpenAPI 3.0 specifications. This means that you can automatically reverse-engineer REST APIs by just running the apps and capturing the traffic.

https://lnkd.in/eFXfQADp "A tool for automatically converting mitmproxy captures to OpenAPI 3.0 specifications. This means that you can automatically reverse-engineer REST APIs by just running the apps and capturing the traffic."

Ever wonder how to grab data from the internet without pulling your hair out? 😱 Say hello to the Fetch API! 🚀 It’s like your personal data-fetching superhero, swooping in to make your life easier. No more complicated code—just clean, simple requests and responses. 🙌✨ Whether you're grabbing posts, user info, or even sending data to a server, Fetch does it all with style! And guess what? You can level up your game with Async/Await! 🎮 It’s like the VIP pass to cleaner, easier-to-read code—no more messy chains of .then(). 😎 Ready to fetch some data and make your app shine? 💡 Grab your code and let’s get started. The internet’s waiting! 🌐💥

This is so cool. Using Dub.co and Appwrite Functions you can track any of your Appwrite events or conversions with a few lines of code and NO database setup. 1️⃣ Create a one-click Appwrite Function ⚡️ 2️⃣ Listen to any event you'd like (users.*.create, buckets.*.files.*.create, etc..) 🎧 3️⃣ Call the Dub.co SDK from your function ☎️ 4️⃣ Report the event 🚀 Done. Full guide: https://lnkd.in/d5AkBU6w

Need a better way to manage contextual data in Laravel? The new context() helper is your state management companion! 💎 This powerful feature provides a clean, intuitive API for storing and accessing shared data throughout your application. Perfect for maintaining application state. #Laravel Learn how to implement it in our latest guide:

SwiftUI: Present Live Data with Live Activity (Widget) Example for deep linking, in-activity control, managing and tracking live activities! GitHub: https://lnkd.in/d5KiPwuG Medium: https://lnkd.in/dW3bkVc9

𝗜𝘁 𝗰𝗿𝗮𝘀𝗵𝗲𝘀 𝘄𝗵𝗲𝗻 𝘂𝘀𝗶𝗻𝗴 𝗹𝗮𝗿𝗴𝗲 𝗱𝗮𝘁𝗮𝘀𝗲𝘁𝘀 Lately, I've been talking to some web GUI builder users and asking them what issues they're facing with their tool. 99% of them told me two things: ➡️ Large datasets management ➡️ Customization limits That's when I realized how efficient Taipy is. github.com/Avaiga/taipy ✅ Large dataset management: While other libraries, such as Streamlit, rely on caching, Taipy uses callbacks, which is a huge benefit for working with events triggered by the app. That's how you can build a fast app regardless of the size of your data. Look at the attached video. That's how slow it is to plot 1M datapoints in Streamlit compared to Taipy. More resources in comments. ♻️If you think this could be useful, share it!

🚀 “8 Ways to Fetch Data in React.js Like a Pro!” 🚀 Whether you're building a small app or scaling up to complex applications, data fetching is key to bringing your React components to life! From the simplicity of fetch() to the power of tools like React Query and GraphQL, there’s a perfect approach for every need. Swipe through my carousel to discover 8 powerful ways to fetch data in React! 💻✨ 👀 Which method do you rely on the most? Let’s discuss in the comments! Book a free consultation call.. https://lnkd.in/d8h_Qr_r Follow for more insights!

Master global view data with Laravel! 🌟 Learn how to easily manage shared data across all your views and enhance your app's efficiency!

Latest updates about Larafast! (both VILT and TALL stack) - Creating Stripe Products and Prices in the database when using “stripe:create-products-and-prices” command - Creating Single Payment Products and Prices in the database - Ability to Sync Products and Prices with Stripe - New chart widgets for orders and user stats - New Stripe Orders functionality - New widgets and UI for Admin - GitHub actions to check tests And many more small improvements in of UI and code! (video soon)