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This is the start page where users create their profile!
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A owner can manage her different businesses under her owner profile, and each business has its own profile.
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After connecting to transaction data, on the business overview hub there are core metrics visualization.
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Business overview hub continued.
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On the financial statement page, there will be income statement (PnL), balance sheet, and cash flow statement for the owner to view.
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And for each statement users can choose between single month or multi-month to get the long-term insight. ,
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Users can also view the original bank transaction data on this page.
Inspiration
While Wall Street roars louder every day, I keep thinking about a very different group of business people.
I’ve seen so many women who didn’t have the privilege of building a traditional career because of the role of motherhood or other life responsibilities. Instead, they started from home. In their kitchens. During their baby’s nap time. Late at night, after everyone else had gone to sleep.
They bake. They sew. They design. They manufacture. They turn pure creativity into real products. They sell through Instagram, through word of mouth, through tiny pop-ups. Their products are beautiful. Their work is real. Their effort is extraordinary.
They are incredibly capable at creating and managing what they love. But unlike large corporations, they don’t have access to financial analysts, consultants, or professional tools to help them truly understand their numbers. Many small business owners around the world rely solely on hard work and creativity to survive, but without clear financial insights, it becomes difficult to grow sustainably in the long run.
I want to build a simple, approachable platform that brings professional-level financial analysis into their hands in the most accessible and human way possible. A tool that quietly supports them behind the scenes.
Because they are already doing amazing and diligent work, they deserve systems that support them, not systems that exclude them.
What it does
BackHer is an all-in-one financial hub that turns messy bank data into a clear, supportive conversation. It’s designed for the hardworking founders who are experts at their craft but need a professional partner to handle the numbers.
Manage Multiple Businesses with Ease: Many creative founders wear multiple hats. BackHer allows you to own and manage multiple businesses under one account. You can switch between your home bakery, Etsy shop, or consulting side-hustle instantly, keeping every financial story organized and separate.
Instant Financial Statements & Analytics: By linking your bank data, the tool automatically generates professional Income Statements and Cash Flow reports. You have the flexibility to select the specific time span for your statements, such as 3 or 6 months, to track long-term performance. On the Business Overview Hub, important data is translated into visualized metrics and trends to make your operations more intuitive. Additionally, you can select any specific month from the dashboard to view a detailed KPI breakdown, including your Net Margin and monthly revenue, all without ever touching a spreadsheet.
The AI Strategy Room (Your Virtual CFO): We integrated Google Gemini to act as a supportive Virtual CFO. Instead of just showing charts, the AI analyzes your real-time data to explain what the numbers actually mean. It provides specific, human-level advice—like identifying ways to lower ingredient costs or spotting trends in your monthly sales.
Investor & Bank Readiness: BackHer automatically calculates critical metrics like Burn Rate and Runway. This moves small business owners from just "surviving" to being "pitch-ready," giving you the professional data needed to apply for loans or talk to future investors with confidence.
Accessibility First: Every feature is built to be simple and approachable. We’ve turned complex financial analysis into a tool that quietly supports you behind the scenes, ensuring your creativity leads to a sustainable, long-term business.
How we built it
We built BackHer using a modern Python-based stack, focusing on turning complex raw data into human-centric insights.
Frontend & Dashboard: The entire application is built with Streamlit. We utilized its layout components and custom CSS to create a professional yet approachable interface that moves away from the cold, intimidating feel of traditional accounting software.
Data Processing Engine: We used Pandas to build our financial backbone. It cleans and categorizes raw transaction data to calculate real-time health metrics like net profit, burn rate, and runway in seconds.
Smart Data Simulation (Plaid Emulator): While our goal is to integrate with Plaid, the platform requires extensive bank approval and wait times that exceeded the hackathon window. To ensure a professional demo, we developed a custom Python simulator. It generates 180 days of realistic business data, including retail POS inflows, high-value special orders, COGS from suppliers like Costco, and monthly liability repayments (SBA loans). All structured as a standard JSON payload to mirror real bank APIs.
AI CFO: The core intelligence is powered by the Google Gemini API. We engineered prompts that guide Gemini to "read" the Pandas-processed data and translate it into supportive, warm, and accurate strategic advice, such as helping founder understand if they can afford new equipment based on their actual cash flow.
Challenges we ran into
My biggest challenge was finding realistic financial data. I first tried letting users upload CSV files, but I realized many small business owners don't always have access to a computer, professional software, or perfect daily records. I also looked into the Plaid API, but the bank approval process was too long for a hackathon.
To solve this, I built a custom Python simulator to generate 180 days of transactions for a self-employed woman running a cookie cake business. I made the data realistic by focusing on small-business habits, like daily Costco runs and revenue coming in through Zelle, rather than big corporate expenses. This ensures that the financial statements and advice actually fit the needs of micro-business owners.
My final challenge was refining the prompts to make sure Google Gemini could accurately read the metrics from Pandas to give specific advice instead of generic responses.
Accomplishments that we're proud of
I am proud of designing an interface that is easy for anyone to use, even with zero financial knowledge. I tried my best to remove all barriers for the user. As long as you have a business bank card, you can link it and start immediately. You don’t need to understand complex financial metrics because the AI is always available to explain them. I also added a visualization section to make business performance more intuitive at a glance.
What we learned
I learned how to use Streamlit for the first time and found it to be an incredibly powerful tool for building dashboards. I also explored banking data APIs like Plaid for the first time. Even though I couldn't implement the live version during the hackathon, I learned a lot about how bank transaction data is structured and handled.
What's next for BackHer
The first priority is to fully integrate a live banking API like Plaid. Next, I want to use AI to help categorize revenue more accurately during the data-reading process. I also plan to conduct more research into the day-to-day operations of small businesses to design financial statements and metrics that fit their actual needs, such as tracking debt, credit card bills, and prepaid services.
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