Merit: 4m.4n PYUSD Hub provides wallet management and market and MEV analytics. With a rich user interface, you can view network activity, helping you decide on the best time to make a transaction. Watch their demo video: youtube.com/watch?v=kf4cnrLY…

3rd Place: Normies Normie Tech enables seamless card to stablecoin payments. Merchants can receive stablecoins while customers pay in fiat. Transactions are easily managed through a user-friendly dashboard. Watch their demo video: youtube.com/watch?v=LHEx--EH…

2nd Place: Rosen Rosen is a PYUSD-powered social trading app connecting users to the global economy. It features easy onboarding, wallet integration, and cross-chain support for seamless social transactions. Watch their demo video: youtube.com/watch?v=DrGheKvd…

🔈 Congrats to the winners of our @googlecloud x @Paypal bounty challenge! 🥳 1st: Phaigo 2nd: Rosen 3rd: Normies Merit: 4m.4n 🎉 A big shout-out to all who challenged the boundaries of Web3 through your solutions! See the winning projects ⬇️

For starters, we could ask it to build a basic Pac-Man game with the p5js library. Give it a shot at putting a twist on this classic game.

🚨 Only 72 hours left 🚨 Submission for our @googlecloud & @Paypal bounty challenge is closing! Last chance to challenge yourself and put your skills to the test. You might be the one to win the top prize of US$8000! 💰 The clock is ticking. ⏰ go.stackup.dev/GCPxPayPal

📣 Last chance to be part of the Qualcomm AI Hub campaign and bring on-device AI ideas to life! The Unleash the Power of Edge AI with Qualcomm AI Hub campaign ends on April 15 and there are still rewards available for grabs! 💵 Join now! 👉 go.stackup.dev/TLAmzrz

📢 New Bounty Alert! Building with Google Cloud Web3 + PayPal PYUSD Discover how @googlecloud empowers developers building on Web3 with its new Blockchain RPC API, and build innovative tools and solutions with @PayPal PYUSD 💰 Start building 🚀 go.stackup.dev/GCPxPayPal

🚨New quest alert! Get hands-on experience in model development for edge devices! Learn to build and deploy an image classification model using PyTorch, and use @Qualcomm AI Hub to optimise your model for efficient edge-device performance. Join now! 🚀 go.stackup.dev/JBJIBDY

🚨New quest alert! Learn to build, optimise, and deploy AI models for edge devices using @Qualcomm AI Hub. Get hands-on with the AI framework PyTorch and the optimized model MobileNet v3 to build faster, smarter AI. 🚀 Start learning today! go.stackup.dev/eCmpPFo