Proposal: Add Respectlytics to Mobile Analytics.

[loheden]

I'd like to suggest Respectlytics — a privacy-first mobile app analytics platform.

What it does: Tracks app events (screen views, button taps, etc.) while storing only 5 data fields: event name, session ID, timestamp, platform, and country. The API rejects any extra fields with a 400 error — it's architecturally impossible to send Personally Identifiable Information (PII).

Key privacy features:

• No user IDs, no device IDs (IDFA/GAID), no IP addresses stored, no cookies, no fingerprinting
• Session IDs are RAM-only, rotate latest every 2 hours, and reset on app restart
• Session IDs are SHA256-hashed with a daily-rotating salt before storage
• IP addresses are used transiently for country lookup, then discarded — there's no IP column in the database
• Fully open source: server (AGPL-3.0) and all SDKs (MIT)

Server side repository available here:

• https://github.com/respectlytics/respectlytics

Mobile SDKs:

• https://github.com/respectlytics/respectlytics-react-native
• https://github.com/respectlytics/respectlytics-swift
• https://github.com/respectlytics/respectlytics-flutter
• https://github.com/respectlytics/respectlytics-kotlin

You can verify the claims in the code:

• Event model — only 5 fields, no IP column
• Session hashing with daily-rotating salt
• Field allowlist — unknowns rejected
• IP used for geolocation then discarded

Self-hostable with Docker + PostgreSQL. SDKs available for Swift, Kotlin, Flutter, and React Native.

Happy to answer any questions about the architecture.