Firenum VS Universal Data Generator

Firenum's answer

Firenum plans your finances month by month and runs entirely in your browser, with no account and no signup. Your plan is stored on your own device, not on our servers. You get Monte Carlo simulation, historical backtesting against every period since 1871, and six stress scenarios (market crash, lower returns, job loss, expense spike, high inflation, retiring earlier or later), all for free. It supports 9 currencies with local number formatting, including lakh/crore for rupees and 万/億 for yen.

Universal Data Generator's answer:

UDG is the only test data generator that combines three critical features: direct Salesforce OAuth integration, automatic parent-child record relationships, and schema awareness - all through a no-code web interface. Unlike generic tools that export CSV files, UDG reads your org's metadata (custom objects, record types, picklist values) and creates records directly in your sandbox with proper referential integrity. You select objects, set record counts, and click generate - no Data Loader, no field mapping, no CSV gymnastics.

Firenum's answer

Paid planners like ProjectionLab and Boldin keep features such as saving your plan or advanced drawdown modelling behind a subscription. Firenum includes all of it free, with no account. Choose it if you want serious FIRE planning without handing your financial details to a company, or if you plan in a currency other than USD. If you need detailed US tax modelling or Roth conversion planning, a paid tool may still suit you better.

Universal Data Generator's answer:

UDG vs Mockaroo: Mockaroo is NOT Salesforce specific! It exports CSV files that you then have to load into Salesforce manually. UDG connects directly via OAuth and creates records with linked relationships - no intermediate steps.

UDG vs Snowfakery: Snowfakery requires Python, CLI knowledge, and YAML configuration files. UDG offers the same Salesforce-native benefits through a simple web UI that any admin can use.

USG vs Smock-it: UDG works instantly in any browser. Salesforce CLI, Node.js, and plugin installation needed - just sign up and connect your org. UDG reads your org's metadata automatically - just select objects and click generate. No JSON files needed. UDG automatically detects your custom objects, record types, and picklist values via OAuth. Smock-it requires manual template setup or using the promptify command. UDG automatically detects your custom objects, record types, and picklist values via OAuth. No manual template setup or using the promptify command needed.

UDG vs Data Loader: Data Loader requires you to prepare CSV files, map fields manually, and manage parent-child ID relationships yourself. UDG handles all of this automatically.

Firenum's answer

People working towards financial independence and early retirement (FIRE), from those who've just learned the 4% rule to those checking a drawdown plan before quitting. Many users are outside the US and want a planner that isn't built around US assumptions.

Universal Data Generator's answer:

Salesforce professionals who need realistic test data without the technical overhead, fast! - Salesforce Admins populating sandboxes after refresh for testing or training - Salesforce Developers who need data for feature development and QA - Consultants preparing demo environments for client presentations - QA Teams building comprehensive test scenarios with related records The common thread: people who are tired of spending hours manually creating test records or wrestling with CSV files and Data Loader.

Firenum's answer

Firenum started as a single FIRE number calculator ("fire + num = your number") and grew into a full planner. The aim was to make FIRE planning free and private, and to say honestly when a fee-only advisor is worth paying for.

Universal Data Generator's answer:

UDG was built by a Salesforce consultant with 10+ years of experience who lived this problem daily. Every sandbox refresh meant hours of tedious work: manually creating Accounts, then Contacts, then Opportunities - or worse, preparing CSV files, mapping fields in Data Loader, and managing ID relationships across multiple imports. Existing tools either required coding skills (Snowfakery), exported to CSV instead of loading directly (Mockaroo), or were expensive AppExchange packages. There was no simple, affordable solution that just worked. UDG was built to solve that specific pain point: connect your sandbox, pick your objects, click generate, done. What used to take hours now takes minutes.

Firenum's answer

Astro, Preact with Preact Signals, TypeScript, Chart.js, Web Workers (simulations run off the main thread), Cloudflare Workers for hosting, and Playwright for end-to-end tests. The backtesting uses Robert Shiller's historical S&P 500 data.

Universal Data Generator's answer:

• Custom semantic field analyzer (detects field types from names and metadata)
• AI-powered realistic data generation for long text fields (descriptions, comments etc)

Firenum's answer

Individual FIRE planners worldwide (no accounts, no data collected)