This template tracks your financial inflows, outflows, and account balances in one structured system. It gives you a clear picture of your actual liquidity while letting you confidently forecast future runway without spreadsheet errors.
Transactions link directly to specific bank accounts and categories natively. Instead of duplicating sheets, you can assign expected costs and revenues to specific outcome models like Best Case or Worst Case scenarios directly from one clean table.
Built-in AI automatically extracts clean vendor names from messy transaction notes and instantly generates executive summaries for your forecast scenarios.
Building financial models in a spreadsheet requires complex, fragile VLOOKUPs that break the moment a row is deleted. When you try to model different "what if" scenarios, you end up duplicating entire workbooks and losing track of truth.
By moving away from a flat document, every transaction stays connected to its rightful account and category effortlessly. You can model multiple scenarios simultaneously without ever risking your base data.
Strict field types ensure numbers stay numbers, dates stay dates, and your calculations remain perfectly accurate as your volume grows. This is exactly what Softr Databases are designed for.
Model precise financial outcomes using the native Scenarios table, automatically rolling up your total planned transactions in real time.
Let Database AI agents do the manual accounting legwork by extracting vendor names from raw statement notes and auto-generating standard definitions for your custom expense categories.
System users handling financial data, forecasting, and account management
Manage bank accounts and credit lines to track balances and cash flow
Classify cash flow with AI-generated standard accounting definitions
Track cash movements with AI used to extract clean vendor and client names
Model financial perspectives using AI to generate executive briefs
This system is designed for teams that need to project company runway and manage spending cleanly.
1. Customize the database
Easily adapt the database to your specific operations. You can add new categorical options for cash inflows or modify the transaction statuses to match your exact review process.
2. Import your existing data
Upload your current spreadsheet forecasts or historical transactions via simple CSV import. Your historical data maps directly into the new structure so you can visualize your runway instantly.
3. Build a full app around it
When you are ready to share financial projections with stakeholders safely, you can build an app directly on top of this database.
You can set up specific users and permissions to ensure investors, executives, or department heads only see the data and forecast scenarios that are relevant to them.
It is a structured system to track expected cash inflows, upcoming outflows, and current balances across different bank accounts. Rather than flat rows, it organizes financial data relationally so you can model future runway and liquidity precisely.
No-code databases give you the structure of enterprise financial software without writing code or debugging broken spreadsheet formulas. You gain a production-ready system where scenarios, accounts, and transactions stay perfectly linked as your business scales.
Using Database AI agents, you can automatically clean up messy bank exports by extracting clean vendor names from raw transaction notes. They can also work in the background to summarize the impact of different financial scenarios, removing hours of manual analysis.
Yes, you can use Softr's interface builder to turn this data into a secure financial portal. You can invite your executive team or external advisors and set up granular access so viewers only explore the specific forecast models you share with them.
Yes, it is entirely free to get started. Databases are included in the free plan, and higher-tier plans offer increased record limits as your transaction history grows. You can also invite unlimited collaborators on any plan.
Spreadsheets force you to duplicate entire tabs to build "Best Case" and "Worst Case" models, which leads to outdated numbers and disconnected totals. This database uses relational tables to let you link the same historical transactions to new scenarios dynamically without duplicating any data.
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