Bloomberg-Inspired Portfolio Analytics App Using FastAPI & React

Bloomberg-Inspired Portfolio Analytics App Using FastAPI & ReactBloomberg-Inspired Portfolio Analytics App Using FastAPI & React

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Shreehitha Arushan

• 3h

Spring Street is a Bloomberg Terminal-inspired portfolio analytics app covering 5 major tech tickers. The FastAPI backend pulls live data via yfinance with a GBM (Geometric Brownian Motion) simulation fallback, computing CAGR, Sharpe ratio, max drawdown, beta, and a full correlation matrix. Built the React 18 + Recharts frontend with a dark luxury aesthetic deliberately designed to feel like professional trading software. This is what happens when an engineer who studied Materials Science at IIT decides to learn finance by building the tool to understand it.

AI Engineer Full Stack Development Django ExpressJS Redis

Julia R

pro

• Jun 10

How AI Is Changing Full-Stack Development

AI is no longer just a tool for automation. It is becoming a real partner in software development.

As a full-stack developer, I use AI to speed up planning, improve code quality, generate ideas, debug faster, and build smarter user experiences. But the key is not blindly copying AI-generated code. The real value comes from understanding the logic, reviewing the output, and using AI to support better engineering decisions.

Modern products are moving toward AI-powered features like chatbots, recommendation systems, smart search, workflow automation, and personalized dashboards. Developers who understand both full-stack engineering and AI integration can build faster, more scalable, and more useful products.

AI will not replace strong developers, but developers who use AI properly will move much faster than those who do not.

Muhammed Ezekiel

• Jun 10

I created two email design concepts for different brands, each with a unique style and approach.

Design A or Design B?

Which one catches your attention first, and why?

I'd love to hear your thoughts on the layout, visual hierarchy, and overall user experience.

creativeaiflow portfolioview freelancerlife

3 voted

38%

5 voted

62%

8 votes

Closed

Esther Adewumi

pro

• Jun 11

I prefer A

Iman Abdul

• Jun 10

Pilah is an AI-powered waste sorting assistant built to solve one of Indonesia’s most visible daily problems: confusion around waste disposal. Even though the country generates massive amounts of waste every day, many people still struggle to sort it correctly. Pilah helps bridge that gap by making recycling easier, faster, and more intuitive for everyone.

With just a camera, users can point at any piece of trash and let AI do the thinking. Pilah identifies the item, gives clear disposal instructions, and logs the user’s positive impact instantly. Beyond sorting, it also helps users understand why their actions matter through an Impact tab that tracks weekly progress and compares personal contribution to the national scale.

To make the experience more engaging, Pilah turns waste sorting into a journey. Users can earn badges, build streaks, and download custom posters to share with friends and encourage more people to join the movement. It’s not just a scanner — it’s also a learning hub for sustainable living, with practical guides like home composting and other everyday eco-friendly habits.

Built entirely with Figma Make and connected to a live Supabase backend, Pilah is my way of using design and technology to create something purposeful, useful, and socially relevant. It reflects my belief that small actions can create real impact when the experience is simple, motivating, and accessible.

Figma site link: https://goal-finite-12613920.figma.site Ready for Config Makeathon