debt-blitz-planner

Debt Blitz Planner 💳→🔥

Compute exactly when you will be debt-free and which payoff order saves the most money. Turns a pile of minimum payments into a concrete month-by-month battle plan using real amortization math — not hand-waving.

Overview

The average household with credit card debt carries over $7,000 at ~20%+ APR and pays thousands in interest by just submitting minimums. The two famous strategies are:

• Avalanche: pay minimums everywhere, throw every spare cent at the highest APR debt. Mathematically optimal — minimizes total interest.
• Snowball: attack the smallest balance first. Costs slightly more interest but delivers quick wins that keep people motivated.

Everyone asks "which is right for me?" — the honest answer is run both and look at the numbers: how many months and how many dollars actually separate them for your debts. Usually the gap is smaller than people assume, and seeing that is genuinely decision-changing.

scripts/debt_payoff_planner.py implements a full month-by-month simulation:

• Correct per-month interest accrual (balance × APR / 12)
• Freed-minimum cascading: when a debt dies, its minimum is re-routed to the next target (the mechanism that makes these plans accelerate)
• Extra-payment scenarios (--extra 200) and total monthly budget mode
• Negative-amortization detection (your minimums don't even cover interest — flagged loudly with the minimum survivable payment)
• Side-by-side comparison of all strategies + per-debt payoff order + yearly milestones

When to Use

• "I have 3 credit cards and a car loan — which should I pay off first?"
• "How long will it take to be debt-free if I pay $X extra per month?"
• "Avalanche vs snowball — what's the actual difference for my debts?"
• "I can put $800/month total toward debt. When's my debt-free date?"
• "Should I take a consolidation loan at Y%?" → run baseline, then model the loan as a single debt and compare

Don't use for: mortgage refinancing decisions with tax implications, investment-vs-payoff analysis (needs expected-return assumptions), or business accounting. This is personal-consumer-debt math.

How It Works — Steps

1. Gather debts: name, current balance, APR (%, annual), minimum monthly payment. Find them on statements.
2. Run the comparison (all three strategies at once):

   python3 scripts/debt_payoff_planner.py \
     --debt "Visa,4200,22.9,105" \
     --debt "Mastercard,1800,19.9,56" \
     --debt "Car loan,9500,6.5,290" \
     --extra 150
   

3. Read the table: months to freedom, total interest, savings vs minimum-only.
4. Model scenarios: bump --extra and watch the debt-free date move — every extra $100/month at the start is worth several months at the end.
5. Get the schedule with --json or --csv for a spreadsheet; --schedule prints yearly milestones.

Strategy Logic (exact rules)

1. Every month: interest accrues on every live balance.
2. Every debt receives its minimum payment (capped at payoff amount).
3. Freed minimums from dead debts + the user's --extra go to the target debt:
   • avalanche target = live debt with max APR
   • snowball target = live debt with min balance (ties broken by APR)
   • min-only = no target; extra never applied (baseline)
4. A debt is dead when balance ≤ 0; overflow payment rolls to the next month's pool.
5. Simulation caps at 600 months (50 years) — if hit, minimums are unsustainable.

Worked Example

Debts: Visa $4,200 @ 22.9% (min $105)
       MC   $1,800 @ 19.9% (min $56)
       Car  $9,500 @  6.5% (min $290)
Extra: $150/month

min-only  : 77 months, $5,584 interest  (baseline)
avalanche : 33 months, $2,425 interest  (saves $3,159)
snowball  : 34 months, $2,681 interest  (saves $2,903)

Avalanche wins by ~$257 and 1 month here — small enough that snowball's psychological win may be worth it. That insight is the product.

Common Pitfalls

1. Minimum payments that don't cover interest (balance grows forever). The tool detects this and prints the minimum survivable total payment — do not ignore it.
2. Forgetting freed minimums. Snowball/avalanche plans fail on paper when people keep paying dead debts' minimums to "be safe". Re-route them (the script does).
3. APR vs APY confusion. Statements show APR; the script uses monthly = APR/12 (standard for credit cards).
4. Comparing strategies without the baseline. Always include min-only — "saves $1,251" only means something relative to it.
5. Paying extra while carrying no emergency fund. A mathematical note the tool can't make for you: a $500 surprise on a maxed card can undo months of progress.
6. Rounding drift. The script computes in cents and rounds the display only; don't hand-replicate in a spreadsheet with floats.

Verification Checklist

• Sum of minimums ≤ monthly budget (script errors otherwise)
• No debt shows negative amortization warning
• Avalanche interest ≤ snowball interest ≤ min-only interest (sanity invariant)
• Final month in schedule has all balances at 0
• Payoff order listed matches strategy (avalanche = APR descending; snowball = balance ascending)

One-Shot Recipes

Debt-free date on a fixed budget:

python3 scripts/debt_payoff_planner.py --debt "Card1,6100,24.99,182" \
  --debt "Card2,2400,18.24,60" --budget 750

Is the consolidation loan worth it? Run baseline, then:

python3 scripts/debt_payoff_planner.py --debt "Consolidated,8500,11.9,283" --budget 750

Compare total interest + payoff date; add any loan fees manually.

Export for a spreadsheet:

python3 scripts/debt_payoff_planner.py --debt "Visa,4200,22.9,105" --csv plan.csv