I’ve been exploring FIRE tracking tools lately, and Fireleap.com caught my attention. Their pitch is compelling: “easy-to-use app that tracks your net worth and your path towards FIRE, and with limited data input it does the dirty work for you.”
The features sound great:
- Automatic net worth calculation
- FIRE progress percentage (current net worth ÷ FIRE number)
- Projection graphs based on savings rate
- Community benchmarking
But here’s my question: Could you replicate the core functionality with Beancount + 50 lines of Python?
The Beancount Equivalent
Theoretically, you could build this yourself:
- Net worth query:
SELECT sum(position) WHERE account ~ "^(Assets|Liabilities)" - FIRE percentage: Custom Python script calculating
net_worth / (annual_expenses * 25) * 100 - Projections: Compound interest formula using historical savings rate
- Mobile access: Self-hosted Fava with ngrok or VPN
The Effort Comparison
Here’s where it gets interesting:
Fireleap setup:
- 10 minutes initial setup (connect accounts via Plaid)
- Zero ongoing maintenance (automatic updates)
- Free (at least for now)
Beancount approach:
- 10 hours initial setup (write importers, design account structure, build FI dashboard script)
- 45 min/week ongoing (download CSVs, run importers, review entries)
- Over 5 years: 205 hours total
The Privacy Trade-off
At $50/hour value of time, that’s a $10,250 “privacy cost” over 5 years. But you gain:
- Complete data ownership (no vendor lock-in)
- No Plaid credentials sharing
- Ability to track unconventional assets (crypto, real estate equity, side business value)
- Deep understanding of your finances vs. black box
My Dilemma
I’m torn. As a data privacy advocate and FIRE enthusiast, I want to choose Beancount. But when I actually calculate the time investment, it’s sobering.
Questions for the community:
- Have you built comprehensive FIRE tracking with Beancount? What’s your tech stack?
- Is the 205-hour estimate realistic, or am I overestimating?
- Could a hybrid approach work? (Fireleap for quick checks + Beancount for detailed analysis)
- Has anyone replicated features like Monte Carlo retirement projections or investment fee analyzers in Beancount?
The “50 lines of Python” in my title might be optimistic, but I’m curious if anyone’s gotten close.
What’s your take on convenience vs. privacy vs. time investment?