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The modern upgrade to Excel budgeting: a smarter spreadsheet alternative that automates your finances and delivers real-time clarity, requiring zero manual entry and zero formulas
https://night-noodle-54723379.figma.site
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Self-Created Practice Project
I worked on a practice hotel booking dataset where multiple data fields were combined into a single raw-data column.
Work completed:
Separated unstructured data into individual columns using Text to Columns
Organized Booking ID, Guest Name, City, Check-In Date, Check-Out Date, Number of Pax, Amount and Status
Improved the structure and readability of the spreadsheet
Prepared the dataset for easier filtering and further use
Tool: Microsoft Excel
Skills: Data Entry | Data Cleaning | Text to Columns | Data Organization | Spreadsheet Formatting
This is a self-created practice project and not client work
Just published: Renewd — a subscription renewal tracker
Most people underestimate their subscription spending by more than double, and forgotten free trials quietly turn into charges they didn't plan for. Instead of building another budgeting app, I focused this project on one specific moment: catching a renewal before it charges, not after.
A few things I'm proud of in this case study:
A countdown that only appears within a genuine 48-hour urgency window, not manufactured pressure
Cancel/Keep actions built directly into the push notification, so acting on a renewal never requires opening the app
Trust-first account linking, where manual entry is offered as an equal option, not a fallback
This project was as much about scoping discipline as visual design, cutting budgeting, bill-splitting, and shared-subscription features to stay focused on the one problem that actually mattered.
Full case study now live on my profile. Open to feedback, and always happy to chat about UX process, product scoping, or fintech design.
Money Radar — See every charge. Stay in control.
Built with: Lovable (Lovable Cloud + Lovable AI)
Why I built it
I built Money Radar because money rarely disappears in one big mistake. It leaks out slowly through small recurring charges that people forget about. I wanted one calm place where anyone can see every charge before it happens, understand where their money goes and act on it.
My goal: help millions of people, whether students, families, freelancers or business owners, keep more of the money they earn.
What I Built
Radar - Track Everything
Keep all your subscriptions, bills, and renewals in one place, across any currency.
Result: Never lose track of what you're paying for.
Early Warning — Stay Ahead
Get alerts for upcoming renewals and price increases before you're charged.
Result: Avoid unexpected payments.
Insights — Understand Your Money
See spending trends, forecast future costs, identify money leaks, and explore savings opportunities.
Result: Make clearer decisions about what to keep or cancel.
AI Analyst — Ask Your Money
Ask questions about your finances and get simple answers based on your own data.
Result: Understand your money without needing financial expertise.
Shared Control — Manage Together
Create personal, family, or business workspaces with different roles and permissions.
Result: Keep shared finances organized and under control.
Proof — Keep Your Records
Create PDF and CSV reports and securely organize your receipts and financial documents.
Result: Keep your important financial records easy to access.
The impact I want to make:-
Awareness: people see their true monthly and yearly cost.
Savings: forgotten subscriptions, duplicates and price hikes get found and cut.
Confidence: no surprise renewals and no money stress.
Access: free at launch, works on any phone or laptop, supports many currencies and has an Urdu-capable AI, so it serves people beyond one country.
The problem
Millions of people lose money every month without noticing it: forgotten subscriptions, free trials that turn into paid plans, surprise yearly renewals and quiet price increases. Bills are spread across cards, currencies and apps, so nobody sees the full picture.
What Money Radar does
Money Radar is a personal and business money command center for recurring payments. It answers four questions:
What am I paying? Every subscription, bill and payment in one list, in any currency.
When am I paying? A renewals calendar and "coming up" list so no charge is a surprise.
What changed? Price history for each payment, with price increases flagged.
What can I save? Money-leak detection (duplicates, price hikes, forgotten and yearly charges) plus a what-if planner.
Key features
Overview dashboard with monthly and yearly totals, converted to your main currency at daily rates
Payments, Calendar and Alerts
Analytics: 12-month trend, 12-month forecast, and breakdowns by category and type
Savings: money leaks with their yearly cost, and what-if scenarios
Reports: statements, yearly summaries, category, upcoming and price-change reports as PDF, CSV or print
AI money analyst: a chat assistant that answers only from your own data (English and Urdu), with chats saved to your account
Receipts and documents attached to payments, stored privately
Workspaces for Personal, Family and Business, with Owner, Editor and Viewer roles and email invites
Ctrl/Cmd+K search, CSV export, account controls and a Free plan that is ready for Pro
Who it helps
Individuals, families, freelancers and small businesses who want to stop leaking money on recurring charges.
How it's structured
Everything is scoped to the active workspace, so payments, analytics, reports and the AI stay separate for each workspace.
How I built it with Lovable
I built it in three phases, entirely by chatting with Lovable:
Core: accounts, payments, calendar, alerts and the dashboard.
Intelligence: analytics, savings, reports and the AI analyst.
SaaS: workspaces and roles, receipts, currency conversion, search, plans and connecting all three phases together.
Lovable Cloud handles sign-in, the database (every table has row-level access rules), private file storage and server functions. Lovable AI runs the assistant, which uses read-only tools over the user's own data.
The "money leaks slowly" framing is spot on. What I find interesting here isn't just detecting subscriptions, but detecting the ones that quietly change. Price increases, trial conversions, annual renewals, duplicate services, etc. If Money Radar can surface those before the...