Today I focused on the analytics and internal observability of my phishing detection platform.
Key takeaways from this stage:
- Analytics should live separately from core business logic
- URL routing clarity prevents long-term technical debt
- API-key–scoped statistics are critical for SaaS-style products
- Import errors are often symptoms of deeper architectural problems
Implemented:
- Usage stats by plan
- Risk score aggregation
- Verdict distribution
- Admin vs user-level analytics separation
This wasn’t about shipping fast —
it was about making sure the system can be trusted, monitored, and extended.
Next: testing and public-facing API improvements.
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