iOS · App Store
MyBudgetNerd
Personal Finance, Decoded
A shipped consumer finance product: PDF statement parsing, ML transaction categorization, and the Oracle engine for anomalies, category outlook, and plain-language explanation.
- $4.99/mo · $44.99/yr
- iPhone · App Store
- React · FastAPI
- Docker on EC2
MyBudgetNerd is a consumer finance product we designed, built, and shipped to the App Store, now a subscription SaaS with active subscribers. Upload a bank statement and it parses every transaction, then categorizes them with a machine-learning pipeline. The result goes to the Oracle: an analysis engine that flags anomalies, projects each category forward, and explains in plain language what changed since last month.
It's privacy-first by architecture: statements are processed in memory, there's no requirement to hand over bank credentials, and every AI feature is opt-in. Oracle analysis is request-scoped and stored nowhere.

Home
“I've really enjoyed using MyBudgetNerd. The design is clean and modern, and the interface is intuitive, making it easy to track spending and stay on top of my budget. It's simple to use while still offering the features I need to manage my finances effectively.”
Buraz Mickey
“This app is incredibly easy to use and works seamlessly with several of my banks. One of my favorite features is that it doesn't require me to log directly into my bank accounts — I can import data from PDFs instead. The interface is intuitive and gives me complete control over what information I choose to share. I also like that the AI features are optional, which is great for users who may be hesitant about AI. Overall, it's a well-designed, flexible, and privacy-conscious app that I highly recommend.”
To-Lam
Import
PDF statements you already have, parsed transaction by transaction. No bank logins, no credentials handed over.
Categorize
A machine-learning pipeline classifies every transaction and learns from the corrections you make.
Explain
The Oracle projects each category forward, flags anomalies, and says in plain language what changed and why.
Most budgeting apps demand direct bank-account logins and continuous data sharing, which is a dealbreaker for privacy-conscious users. And manual budgeting in a spreadsheet dies after two weeks of data entry.
MyBudgetNerd takes the middle path: import the PDF statements you already have, let ML do the categorization and analysis, and keep full control over what's shared.
What It Does
- 01
PDF Statement Parsing
Upload statements from your bank and every transaction is extracted automatically, no manual entry.
- 02
ML Categorization
A machine-learning pipeline classifies transactions, learning from your corrections.
- 03
Oracle · Category Outlook
Each spending category projected forward from your own history, so next month is a number rather than a surprise.
- 04
Oracle · Anomaly Detection
Unusual transactions flagged statistically, so duplicate charges and cost drift get caught early.
- 05
Privacy-First · In-Memory
No bank logins required. Statements processed in memory; you control what's shared.
- 06
Oracle · Financial Story
A plain-language account of what moved this period and why, written from your own numbers. It explains; you decide.
Priced in the Open
$4.99/mo$44.99/yr
$4.99 per month or $44.99 per year, on the App Store with active subscribers today.
Talk to Us About MyBudgetNerdDocker on EC2, in its own AWS account
Every product runs in a separate account under one AWS organization, so a mistake in one has nothing to reach in another.
- React
- FastAPI
- Python
- scikit-learn
- Docker
- AWS EC2
Common Questions
Related Reading & Services
MyBudgetNerd: Shipping Privacy-First ML Personal Finance to the App Store
From PDF parsing pipeline to 5.0-star iOS app: designing, building, and shipping a consumer ML product with privacy as the architecture, not the disclaimer.
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The Power of Privacy: How Ephemeral Backends Make Our Products Harder to Breach
You can't leak what you never stored. How one architectural decision, backends that hold as little user data as possible for as short a time as possible, runs through Aegis BI, MyBudgetNerd, and Thera, and why it's a security strategy, not just a privacy stance.
10 min read
Practical Forecasting for Small-Business Finance
You don't need a data science team to forecast cash and revenue. You need clean history, honest uncertainty, and models you can explain to whoever bets on them.
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