hitkeep
Reduces vendor lock-in and compliance risk by enabling self-hosted analytics with full data control, critical for teams handling sensitive user data or opera…
HitKeep is privacy-first analytics for humans and AI agents, self-hosted or in managed EU/US cloud regions.
- Track user engagement metrics without collecting personally identifiable information
- Monitor AI agent performance and behavior patterns across production systems
- Generate compliance-ready analytics reports for GDPR and privacy regulations
Reduces vendor lock-in and compliance risk by enabling self-hosted analytics with full data control, critical for teams handling sensitive user data or operating under strict regulatory requirements.
Data-conscious engineering teams and compliance officers needing privacy-compliant analytics without third-party data transfer.
https://github.com/PascaleBeier/hitkeep
By PascaleBeier
How to Get It
claude plugins install PascaleBeier/hitkeep
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me track user engagement metrics without collecting personally identifiable information
Trust Signals Auto-scanned
Community Pulse New
- Show HN: HitKeep – Web Analytics in a Single Go Binary (Embedded DuckDB and NSQ) — Hacker News · 2 pts
- Show HN: I replaced Postgres and ClickHouse with one binary for web analytics — Hacker News · 1 pts
2 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 79 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 79 GitHub stars; contributors unknown; last commit 0d ago; license MIT.