PostHog
Product analytics for custom member portals and apps
Review status: Research backlog. Research candidate with incomplete checks; not a vetted recommendation.
Official Website · Source Code
open-core planned guideOverview
PostHog is an open-core product analytics suite. Teams building custom portals use it for funnels, session replay (carefully), and feature flags.
At a glance
| Field | Value |
|---|---|
| Categories | analytics-bi, developer-platform |
| Deployment | self-hosted, managed-saas |
| License class | open-core (MIT) |
| Cost model | freemium |
| Implementation difficulty | moderate |
| Maintenance burden | medium |
| Maturity | stable |
| Freshness status | partially-verified (2026-07-17) |
| Completeness | partial |
| Confidence | low |
| Directory tier | research-backlog |
Cost reality
Generous free cloud tier historically; self-host free. Verify current pricing.
Pricing and free-tier limits change frequently; re-check official pricing before budget decisions.
Tasks reduced or augmented
Software does not replace community or ops staff. It may reduce or augment:
- Product analytics
- Feature flags for portals
Human oversight still needed
- Session replay privacy
- PII scrubbing
Manual process this can replace
Structured task-fit review has not been completed for this tool. Treat the free-text examples above as evaluation prompts, not replacement claims.
Data held
-
events
-
person profiles
-
recordings if enabled
-
Personal data: yes
-
Payment data: no / not primary
Risks
| Area | Notes |
|---|---|
| Vendor lock-in | Evaluate export formats and API completeness before deep customization. |
| Security | Apply updates promptly; restrict admin access; enable TLS. |
| Compliance | Operator remains responsible for privacy and local regulatory obligations. |
| Licensing | MIT core with paid cloud/enterprise features. |
| Operational | Plan backups, monitoring, and a restore drill before production use. |
Coworking fit
Roles: technical-operator, marketing, owner-operator
Workflows: reporting-kpis, marketing-campaigns
Problems: measure-utilization, improve-member-experience, privacy-compliance
Smallest useful experiment
Instrument one custom booking flow with 5 key events; review funnel drop-off weekly.
Initial planning estimate (unverified): 1–3 days
Links
Implementation guide
No implementation guide is published yet.
Verification
- Status:
partially-verified - Completeness:
partial - Confidence:
low - Tier:
research-backlog - Last reviewed:
2026-07-17 - Sources:
Seed entry compiled from official project sites and repositories. Re-verify pricing, license text, and feature claims before production decisions. Star counts and free-tier numeric limits intentionally omitted unless verified at review time.