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Respectlytics

Open-source, privacy-first mobile analytics (MIT+AGPL)

Details

External ID
47023401
Source
HN
Company
—
Product
Respectlytics
Website domain
github.com
Launched
Feb. 15, 2026
Cohort
—
Upvotes
26
Upvotes percentile
0.7284366576819407
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Description

Hey HN — I built Respectlytics because I was frustrated that every mobile analytics SDK quietly collects device IDs, ad identifiers, and IP addresses, then makes you retroactively figure out compliance.There are some solutions out there claiming that they are compliant with certain privacy regulations but when I dig into it, I observe that they actually are not that compliant as they claim to be. I believe Respectlytics is one of the most (if not the most) privacy focused mobile analytics solutions out there but compliance is a huge topic and I leave the decision to the legal teams/advisors of users/companies.Instead of the "trust me bro" motto, I decided to make Respectlytics totally open-source so that people do not need to trust my word, they can verify it in the code itself.The idea of Respectlytics builds upon Return of Avoidance (ROA) which relies on data minimization in analytics data collection: What if you just... didn't collect that data in the first place?Respectlytics stores exactly 5 fields per event: event_name, session_id, timestamp, platform, and country. That's it. IP addresses are used transiently for country lookup and immediately discarded. Session IDs rotate latest every 2 hours (or every app start) and live only in RAM — never written to disk. Multi-session tracking is architecturally disabled.What's open source:4 mobile SDKs (Swift, Flutter, React Native, Kotlin) — MIT licensed Analytics server (Django + PostgreSQL) — AGPL-3.0 Self-hosting is simple: docker compose up -d. No ClickHouse, no Kafka, no Redis. Just PostgreSQL.There's also a managed SaaS if people don't want to run infrastructure, but the self-hosted Community Edition has no artificial limits.I'd love feedback on the architecture decisions — especially the choice to reject extra fields at the API level rather than just ignoring them silently.

Enrichment

Theme
database infrastructure and developer tools
Vertical
Horizontal
Function
Analytics & BI
Audience
Developer
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
privacy-first mobile analytics for developers
Manually corrected
False

Could you build this?

Yes An event ingestion API, database, and web dashboard paired with a lightweight mobile client library can be generated and assembled quickly using standard backend frameworks and vibe coding.

Discussion

2 comments analyzed.

Competitors mentioned: Simple Analytics, OpenAttribution

Feature requests: Example apps on Play/Apple App Stores

Competitors

Other products that read as similar to this one — 36 launches clear the similarity bar, closest 8 shown.

Attention rank: #11 of 37 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 87 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a analytics & bi tool for Legal yet.