Develop a Robust Real-Time Backend with FastAPI & WebSockets

Develop a Robust Real-Time Backend with FastAPI & WebSocketsDevelop a Robust Real-Time Backend with FastAPI & WebSockets

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DEBOPRIYA MULLICK

• Mar 11

Real-Time Communication Backend System

Built a scalable backend system using FastAPI and WebSockets to enable real-time communication between users. Implemented authentication, efficient message handling, and optimized API performance. The system supports concurrent connections and structured data storage using PostgreSQL

Tech: Python, FastAPI, WebSockets, PostgreSQL:

Moiz Mansoori

• Apr 1

Built a deployed AI tool that lets users upload research papers and query them using natural language. RAG pipeline with vector search retrieves precise context-aware answers. Features PDF parsing, AI summaries, topic modeling, and citation extraction. Live on Render.

AI Engineer FastAPI LangChain Python AI Development

Istiak Ahmed Khan

• Apr 2

interesting

Daniel G Bright

max

• Mar 30

I spent over a year as the product designer for Hypernative. They just raised $40M in Series B funding not long ago.

Hypernative is a real time security platform for Web3, protecting billions in assets across 60+ blockchains. The product is genuinely best in class. But when I started, the UX wasn't matching the tech.

The UI was super complex, data heavy, and required a steep learning curve. For a security platform where seconds matter, that's a big problem. If your users can't parse a critical alert instantly, the best detection engine in the world doesn't help.

So We rebuilt the experience around three pillars: clarity, actionability, and scalability.

Clarity meant redesigning the threat severity system so users could gauge urgency at a glance. Actionability meant replacing static alerts with interactive ones that included recommendations, historical context, and mitigation steps right in the UI. Scalability meant building a modular dashboard so different teams could customize the interface for their workflow.

The results were 40% improvement in threat detection response time. 30% increase in user retention. 25% reduction in false positive friction.

In complex B2B products, design is the difference between a tool people tolerate and a platform they rely on. Especially in security so if the UX creates cognitive load at the moment someone needs to act fast, you've already lost.

Product Design UX Design designtip

Yeasin Arafat

• Mar 31

Perfect design

Moiz Mansoori

• Apr 1

Built a full-stack Todo app across 5 phases — CLI to cloud-native. Phase 3 adds AI chatbot via LangChain and Groq for natural language task management. Phase 4 containerized with Docker and Kubernetes. Phase 5 deployed on Vercel with Neon PostgreSQL. 4 live deployments.