> Building PriceHawk 🦅 — a Spring Boot project that tracks real-time product prices from multiple sites to grab the best deal. Focusing on async processing, caching & API integration to keep it fast and memory-safe. Started — all updates will be shared on this profile 👇

🚀 2 big upgrades to my Spring Boot project: 1️⃣ Smart Cache No more scraping on every search. 3-hour cache = instant results ⚡ 2️⃣ Parallel Scraping Amazon + Flipkart + Croma fetch together → 3x faster. Still polishing edge cases. #Java #SpringBoot

Fixed two small issues today. Some sites return empty price data → earlier my code broke. Now it handles null/blank values safely. Also cleaned live prices like “₹23,499” → converted into clean digits before parsing. Just optimising my project #Java #Springboot

Improved my service layer today Real ecommerce sites block bots or slow down randomly, so I fixed two things: • Added real browser headers • Added retry + timeout handling Small changes, make big impact in learning and project Feels good when reliability goes up.💻

While working on my project today, I bumped into a really interesting concept — Circuit Breaker. In simple terms, it stops your system from repeatedly calling a service that’s already failing. Less waiting,crashing, more stability. Honestly, this concept saves huge systems.

While building my project, I came across a simple but powerful concept — API Throttling. If your API allows 60 req/min and someone sends 200, you slow them down or block them to keep the system stable. Tiny rule, huge impact. #backend #APIs #SystemDesign

Rate limiting isn’t about slowing users — it’s about protecting our system. If your API allows 60 req/min but a client sends 500, what’s your move? Drop? Block? Queue? Curious how backend devs handle this 👇?? #backend #APIs

Rate limiting matters. Even something like 60 req/min can save your backend. Why I’m adding it to PriceHawk: • 🛡️ Stop bots • ⚙️ Stable APIs • 🚀 Avoid overload • 💰 Save server cost Small rule, massive protection. #Java #Backend #SystemDesign #BuildInPublic

🚨 Just learned how dangerous CSRF is A simple fake image request <img src=" https://t.co/xDDae4Ezda?..."> can trigger actions using your session. 😳 Today in my Spring Boot project: ✔ What CSRF is ✔ Why it's off for public APIs ✔ When to enable it Security is a skill. 🔥

Hey @X algorithm 👋 I'm looking to #connect with people interested in: 💻 Frontend ⚙️ Backend 🌐 Full Stack ☕ Java & Spring Boot ✨ Gen AI 📊 Data Science 🐍 Python 🧠 AI/ML ☁️ DevOps ✅ DSA 💡 Startups 🔗 Web3 Let’s grow, build & learn together 🚀 #buildinpublic #LetsConnect

🔥 🔥 Working on my project — PriceHawk 🔥 Not adding new features today. Just cleaning the code, optimizing logic & hunting hidden exceptions. Sometimes progress isn’t about adding — it’s about refining. How often do you refactor your code? #Java #SpringBoot #BuildInPublic

🚀 Just powered up PriceHawk’s backend! Built a smarter SmartphoneController to fetch live price data from multiple e-commerce sites + added a clean InvalidQueryException for smooth error handling. Because real-world apps deserve clarity, structure & reliability 💪 #Java

Ever wondered how e-commerce apps track price drops? 👀 Today I built that logic in my Spring Boot project — PriceHawk 🦅 Added a PriceSnapshot entity 📊 that saves every product’s price + timestamp from Amazon, Flipkart & Croma. Now my app can learn from past data! 💡 #Java

Added two small but powerful features in my Spring Boot app PriceHawk 🦅 📘 SearchHistory — logs every user query + result count 👤 User — stores basic info (email, name, createdAt) Small details, big impact → better analytics, UX & scalability 🚀 #Java #SpringBoot

Just built a SearchHistory feature for PriceHawk 🦅 It logs every user query, normalized query, result count & time — all indexed for speed and analytics. Hibernate maps it to search_history 📊 Curious: do you store raw + normalized queries or just one? 👇 #Java #SpringBoot

When a user searches on a website 👇 Do you show the result first then save it in a database. So that if user searches the same query again it will give faster response. Am I right? What’s the best way for speed and performance? ⚡ #Backend #SystemDesign #Developers

Faced a real backend issue today while building my Spring Boot app PriceHawk 🦅: “How to keep it fast when 100+ users hit at once?” Solved it using multithreading + ExecutorService → 40 threads max, 200 in queue, rest wait in pool. How do you handle concurrency? ⚙️👇 #Java

Built https://t.co/ZOC6Rq3t53 & https://t.co/BfsHKXOQ4X for my Spring Boot project — PriceHawk 🦅 Used an Executor (via @Qualifier) to fetch data in parallel from e-commerce APIs. invokeAll() → run tasks future.get() → wait till all done Thread.sleep() → simulate API delay

Built two files in controller and service package for my Spring Boot project — PriceHawk 🦅 Used an Executor (via @Qualifier) to fetch data in parallel from e-commerce APIs. invokeAll() → run tasks future.get() → wait till all done Thread.sleep() → simulate API delay

In Spring framework @Configuration → class becomes a Spring instance @Bean → creates objects managed by Spring container @Autowired → injects them automatically Singleton → same UserService shared by all Prototype → new UserSession for every login Am I right devs? 👇