Built Respectlytics because I always got confused about how to deal with privacy questionnaires when publishing my own mobile apps in app stores. For people who have read a little bit about those privacy regulations like GDPR, ePrivacy Directive, CCPA, etc., I guess it is a bit difficult to say that an analytics solution is fully compliant and no user consent is needed. But what I have come to is that the key thing is to build something that is extremely defendable, transparent, and very easy to explain if and when needed.

Privacy: API rejects custom fields with 400 errors. Only stores 5 fields. Session IDs rotate every 2 hours with daily salt. Open source SDKs. It is technically impossible to say which event data belongs to whom.

Automation: Auto-discovers conversion paths, calculates lift scores, finds drop-offs. No manual funnel setup needed. These analysis are done per session. Multi-session tracking is blocked by design.

Tradeoff: Can't track MAU/DAU (session rotation prevents it). Not free because this platform costs money and I am unfortunately not in a position to offer this service for free. But I did everything I could and will keep doing to maintain it as a premium service for people/organizations/companies who need high level of privacy in their analytics solutions.

Current Mobile SDKs: Swift, Kotlin, Flutter, React Native. All are open source.

Already using it for my own apps. Curious what HN thinks about the architecture.