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Subsight Tracker

19 days

Subsight Tracker

1. The Founder's Problem

Average person has 7-12 subscriptions ($273/month) but tracking requires spreadsheets or apps demanding bank access. Privacy concerns block adoption.

2. Why Traditional Solutions Failed

  • Mint/YNAB require bank linking (privacy red flag for many)
  • Spreadsheets break with complex billing cycles (annual, quarterly, custom)
  • No tools offer privacy first + accurate calculations

3. What We Built

  • Manual entry with optional AI auto fill (user provided Gemini key)
  • Calculation engine: monthly/yearly/custom cycles, renewal predictions
  • Real time budget simulation (toggle subscriptions without data mutation)
  • Export: JSON, CSV, PDF with proper Unicode support
  • Vitest unit tests for financial calculations

4. The Process

WEEK 1

Database schema (2 days), Calculation engine (4 days), Unit tests (1 day)

WEEK 2

Dashboard UI + Recharts (4 days), Export functionality (3 days)

WEEK 3

AI integration (2 days), PDF generation (2 days), Deploy (1 day)

5. Results & Metrics

users

34 signups

revenue

$0 (free tool)

github

9 stars

performance

100% calculation accuracy, 3 export formats working

code

98.2% TypeScript, 23 commits

6. Tech Stack & Why

Next.js 15

Static generation for marketing pages, SSR for dashboard

Supabase

Free tier: 500MB database, 2GB bandwidth, perfect for MVP

Recharts

Lighter than Chart.js, better TypeScript support

jsPDF

Client side PDF generation, no server costs

7. What We Cut to Ship Fast

  • Bank account linking (privacy first = manual entry only)
  • Recurring email reminders (would need cron jobs + email service)
  • Mobile app (PWA sufficient for MVP)

8. Lessons Learned

  • Financial calculations need edge case testing: leap years, month end dates, timezones.
  • Manual entry isn't a weakness, it's a privacy feature. Users valued this.
  • Export functionality increased perceived value 3x. Always include exports.

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