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I got tired of looking at used cars and trying to figure out whether a listing was actually a good deal.
So I built Carcy.
You give it a car listing, and it analyzes the price, specs, history and potential red flags, then gives you a report.
I built it 5 days ago. 46 reports later, people are actually using it.
Still a tiny project, but this is probably my favorite part of building software: having an idea, shipping it, and then watching real people use it.
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Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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Related posts
FuelSense AI: A Smarter Way to Track Vehicle Expenses
Overview
FuelSense AI is an Android application I built to make vehicle fuel management easier. It brings vehicle records, fuel expenses, trip tracking, and driving analytics into one place.
The Problem
Fuel costs can be difficult to track over time. Drivers may struggle to keep their fuel records organized, understand their mileage, and estimate the cost of their next refill.
What I Built
I developed a mobile app with the following features:
Vehicle Management: Manage cars and motorcycles in one place.
Fuel Tracking: Record refills, fuel prices, and odometer readings.
Trip Tracking: Track journeys using GPS.
Driving Analytics: Review distance, fuel expenses, and mileage trends.
Refill Estimates: Calculate estimated remaining driving range and refill costs from recorded data.
My Approach
I focused on bringing these everyday tasks into a single workflow. The app combines fuel records, trip data, and expense analytics to help users understand their driving costs.
Current Status
FuelSense AI is currently in development and has not been publicly deployed. I am continuing to test the calculations and improve the tracking experience.
Project Focus
This project demonstrates my approach to building practical mobile applications around real-world problems, connecting multiple features, and exploring useful data-driven functionality.
Title: Nexa Electronics: Premium E-Commerce Website with Interactive 3D Exploded Views
Description:
Nexa Electronics is a demo e-commerce website I designed and built to show my skills in modern web design, front-end development and interactive 3D experiences. This video is a walkthrough of the site.
What’s in the video
The home page, with a cinematic hero section and a 3D device showcase
Browsing by category: Smartphones, Laptops, Audio, Gaming, Smartwatches, Smart Home and Accessories
Product pages with configuration and colour options, a zoom inspection view, pricing, stock status and customer reviews
The interactive 3D exploded view (“Explore Inside in 3D”), where you can take products apart layer by layer to see their internal components
Quick View, the device comparison matrix, the shopping bag and a full checkout flow (shipping details, payment, order review and confirmation)
Customer sign-in and an admin dashboard for managing the store
Website features
Interactive 3D exploded views of products, with labelled internal parts and an explode slider
A mega-menu navigation and fast category browsing
Product configuration (storage and colour variants) with live pricing
Wishlist, compare and shopping bag functionality
Device comparison matrix
A simulated checkout with order confirmation
Customer accounts (sign-in)
An admin dashboard with store stats and inventory and price management
A newsletter signup section
A toggle to turn the 3D experience on or off
A responsive, dark and light themed premium UI
Note: I made this video with the help of AI, and it is just a demo to show my skills. To see my work properly, I recommend visiting the live website here: https://nexaelctronics.netlify.app/
Thanks for watching. I’m open to freelance projects, so get in touch if you’d like something similar built for you.
The dark theme and 3D device views look sharp.
This is agrntfuse dashboard I built for detecting whent the agent goes rogue, drifted from actual goal or looping or doing something random work not actual task, so it dtects and tell how muc it cost the tokens and how much amount has been used up, and steer it back to the ctaula goal with a better reasoning model.
