Your monitoring source: traffic, captured errors, conversion events, experiments and service-scoped logs.
Know what changed. See what it changed.
PostHog signals and release history, in one place. A workspace for the growth, reliability and experiments behind your products.
Startup0 / Project workspaceIllustrative data · interactive preview
Example product
PostHog + GitHub · UTC
Daily visitors
1,284
Captured exceptions
3
Changes
2
Exceptions
Daily aggregates in UTC. Missing samples remain gaps.
Latest value: 3
Changes on this chart
Nearby changes are investigation context, not proof of causation.
Illustrative values only. Select a change to see its context. Time proximity is a lead for investigation, not proof of causation.
01 / Connected context
One monitoring source. A clearer view of your business.
Keep your telemetry in PostHog. Startup0 brings the important signals together and puts the changes that matter beside them.
Optional change context: deployment success reports, releases and commits. Connect one repository and choose its environment.
The signals a team needs to make its next move.
Growth & conversion
Follow daily visits and the exact conversion event that matters to your product. Every number keeps its time window and definition.
Reliability
See captured exceptions and affected users. Put releases on the same axis, then inspect the evidence behind a spike.
Experiments
See when PostHog experiments started and ended. Open the source to investigate their results without losing context.
Service logs
Compare log volume and error/fatal counts for your selected service. Keep raw logs in PostHog for deeper investigation.
02 / Change-aware investigation
A spike is a starting point. Give it context.
A commit, a release and a deployment are different events. Startup0 labels them separately so a nearby change becomes a useful lead, not an unsupported conclusion.
- 01Connect a PostHog project and choose your business template.
- 02Inspect a metric alongside deployment and experiment markers.
- 03Open the source, investigate a hypothesis and review the outcome.
Different products. Different questions.
SaaS
Are users reaching value without hitting errors?
Content & marketing
Are visits turning into signups or subscriptions?
Commerce
Are checkout changes affecting completed orders?
AI products
Are generations completing reliably after each release?