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Build customizations with Functions 🚀 Andrea Morone’s SupaEasy extended Shopify’s backend with: • Discount logic using multiple conditions • Dynamic control of payment methods • Delivery options based on order attributes

Shopify Developers

65,514 subscribers

11,615 views • 1 year ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

7 Comments

Shopify Developers1 year ago

See how functions created with SupaEasy ran over 2 billion times on Shopify’s infrastructure during Black Friday/Cyber Monday 2024:

RTTS2 years ago

Testing Salesforce presents unique challenges due to its complexity, scalability and customizability. RTTS can plan, design & automate a successful testing process for you.

Quang Huy Nguyễn1 year ago

@andrea__morone So useful!

Jasmine1 year ago

@andrea__morone yo this is pretty neat stuff 🔥 thanks for sharing

Dustin Thompson1 year ago

@andrea__morone Why would this not be built in?

OIF Brand Dynamics1 year ago

@andrea__morone Looking for the ultimate 2025 side hustle? Dropshipping is still a powerhouse—minimal upfront costs, rapid product testing, scalable systems, and global reach. It’s the smartest way to step into e-commerce. Learn fast. Grow smart. Scale lean. @Shopify, still the go-to platform.

Vanes Heist1 year ago

@andrea__morone Discover the game-changing power of dropshipping! Start an online store, sell trending products, and earn profits without holding any inventory. No upfront stock . Chat me up I will show you how it’s works

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Delhi Metro Rail Corporation

14,325 views • 1 year ago

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11,781 views • 10 months ago

Caffeine just leveled UP! 🚀 Build an Art Deco team page based on a sloppy wireframe, a downloaded style reference, and a bunch of photos! 🎉 New feature: Multimodal support means you can upload more than one image (or other data) at a time. Caffeine will interpret the images together with your prompt. You now get much better control over the end result (without having to be a designer).

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Kristofer

17,348 views • 9 months ago

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KaspaCom ⚡️

38,382 views • 1 year ago

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11,402 views • 11 months ago

Getting started with Hardware Design is as easy as 1, 2, 3, 4... 1. Draw the circuit using building blocks. 2. Map the inputs and output to FPGA pins. 3. Verify and Build. 4. Upload to the board! And you can do pretty serious stuff with this. While we start with iCEStudio (visual blocks based design) we don't have to stick to that. We can just as well write hardware using HDL and fire the compiler etc ourselves. The LUT count on the FPGA is enough to deploy a tiny RISC-V based SoC! Yes! From the Basics of Digital Electronics to customizing a RISC-V based SoC - Soan Papdi is your companion on the journey! Lectures on the basics will be uploaded to YouTube. Lectures on CPU/SoC related topics will be made available to the Library Subscribers. + You can learn more about Soan Papdi FPGA here: + You can join the Library Access with a 70% Discount here: IMPORTANT: We will revise the prices of Library Access, effective 9th Feb.

Getting started with Hardware Design is as easy as 1, 2, 3, 4... 1. Draw the circuit using building blocks. 2. Map the inputs and output to FPGA pins. 3. Verify and Build. 4. Upload to the board! And you can do pretty serious stuff with this. While we start with iCEStudio (visual blocks based design) we don't have to stick to that. We can just as well write hardware using HDL and fire the compiler etc ourselves. The LUT count on the FPGA is enough to deploy a tiny RISC-V based SoC! Yes! From the Basics of Digital Electronics to customizing a RISC-V based SoC - Soan Papdi is your companion on the journey! Lectures on the basics will be uploaded to YouTube. Lectures on CPU/SoC related topics will be made available to the Library Subscribers. + You can learn more about Soan Papdi FPGA here: + You can join the Library Access with a 70% Discount here: IMPORTANT: We will revise the prices of Library Access, effective 9th Feb.

Piyush Itankar

13,148 views • 6 months ago

New Example! We built a fullstack open “Deep Research” quickstart for Google DeepMind Gemini 2.5. It dynamically searches the web, reflects on results, and delivers comprehensive answers with citations in a nice UI with streaming! Built using React and LangChain Langgraph! 🚀 TL;DR: 🔄 Agent iteratively loops through research and reflection until it gathers sufficient information. 🔍 Dynamic query generation, web research via Gemini native Google Search tool, and reflective reasoning. 🧠 Supports different search effors (low, medium, high) for width and depth of search 🛠️ React frontend, LangGraph backend, Tailwind CSS + Shadcn UI components. 🐳 Easily run locally or deploy with Docker. 📄 Answers inlcude citations from gathered web sources.

New Example! We built a fullstack open “Deep Research” quickstart for Google DeepMind Gemini 2.5. It dynamically searches the web, reflects on results, and delivers comprehensive answers with citations in a nice UI with streaming! Built using React and LangChain Langgraph! 🚀 TL;DR: 🔄 Agent iteratively loops through research and reflection until it gathers sufficient information. 🔍 Dynamic query generation, web research via Gemini native Google Search tool, and reflective reasoning. 🧠 Supports different search effors (low, medium, high) for width and depth of search 🛠️ React frontend, LangGraph backend, Tailwind CSS + Shadcn UI components. 🐳 Easily run locally or deploy with Docker. 📄 Answers inlcude citations from gathered web sources.

Philipp Schmid

55,535 views • 1 year ago