GitHub + PostHog: Ship Code Informed by Real Data

Connect GitHub deployments to PostHog analytics so every release decision is backed by actual user behavior.

Deployment-Linked Analytics

Automatically annotate PostHog dashboards when code is deployed so you can see exactly what changed behavior.

Feature Impact Measurement

Track how each merged pull request affects retention, conversion, and engagement without manual tagging.

Data-Driven Rollbacks

Spot metric regressions tied to specific commits and roll back before they compound into bigger problems.

What You Can Automate

Deploy Annotation on Merge

Automatically add a PostHog annotation when a PR merges so metric changes are instantly explainable.

Feature Flag Experiment Trigger

Start a PostHog experiment when a GitHub feature branch is deployed to a staging environment.

Regression Alert on Push

Notify the team in Slack when a PostHog metric drops within hours of a specific commit being deployed.

PR Impact Summary

Attach a PostHog funnel snapshot to a GitHub PR comment before it is approved for merge.

Release Health Dashboard

Build a live PostHog dashboard that tracks key metrics for every active GitHub release branch.

User Cohort Tagging

Tag PostHog users who first visited after a specific release so you can measure new-version cohort behavior.

A-B Test Lifecycle Sync

Close a PostHog experiment automatically when its corresponding GitHub feature branch is merged or closed.

How It Works

Connect Your Tools

Link your GitHub organization and PostHog project to Neotask with read and write access.

Set Your Triggers

Tell Neotask which GitHub events should create annotations, start experiments, or fire alerts in PostHog.

Get Instant Clarity

Every deployment is visible in your PostHog data the moment it happens, no manual logging needed.

Capabilities

GitHub Action	PostHog Action	Use Case
PR merged to main	Create deployment annotation	Release impact tracking
Branch deployed to staging	Start A-B experiment	Feature experiment launch
Feature branch deleted	End active experiment	Experiment lifecycle cleanup
Release tag created	Tag new user cohort	Version cohort analysis
Failed CI check	Send metric alert	Regression early warning
PR opened	Attach funnel snapshot as comment	Pre-merge impact review
Commit pushed	Log build SHA as PostHog property	Granular version tracking

The Gap Between Shipping and Knowing

Most engineering teams deploy code and then manually check dashboards hours later. By the time a regression is spotted, it has affected real users and the context of what changed is already fuzzy. Connecting GitHub to PostHog through Neotask closes that gap automatically.

Annotations That Make Dashboards Actually Useful

A PostHog chart without deployment markers is guesswork. Neotask listens for merge and deployment events in GitHub and writes annotations to your PostHog dashboards in real time.

Measure Features, Not Just Deployments

With Neotask, you can tag PostHog events with the specific GitHub feature or PR that introduced them. This lets you filter your funnels, retention curves, and session recordings by which version of a feature a user experienced.

Catch Regressions Before They Compound

Neotask can watch PostHog metrics after each deployment and alert your team when something drops beyond a defined threshold.

Try Asking Neotask

Add a PostHog deployment annotation every time a PR is merged to [main-branch] with the PR title and author.
Start a PostHog experiment called [experiment-name] when the [feature-branch] branch is deployed to [staging-environment].
Alert me in [slack-channel] if [metric-name] drops more than [threshold]% within 2 hours of any deployment.
Add a comment to my GitHub PR [pr-number] with the current conversion rate for [funnel-name] from PostHog.
Tag all PostHog users who first appeared after the [release-tag] deployment as the [cohort-name] cohort.
Show me which GitHub releases in the past [time-period] days caused the biggest changes in [metric-name].
End the PostHog experiment [experiment-name] and post the results summary when [feature-branch] is merged.

Pro Tips

Tip

Use consistent release tag naming in GitHub so PostHog annotations are sortable and easy to filter.

Tip

Set metric alert thresholds per feature type - new UI changes tolerate more variance than payment flows.

Tip

Attach PostHog funnel links directly in PR descriptions so reviewers have context before approving.

Frequently Asked Questions

Does Neotask need access to my PostHog event data or just dashboards?

Neotask uses the PostHog API to create annotations, start and stop experiments, and read aggregate metric values for alerts. It does not read or store individual user event data.

Can I filter PostHog annotations by team or repository?

Yes. When configuring your GitHub to PostHog workflow in Neotask, you can choose which repositories trigger annotations and add custom tags.

What if I use PostHog feature flags instead of LaunchDarkly?

Neotask supports PostHog feature flags directly. You can create, update, and roll back PostHog flags on GitHub events.

How quickly does the annotation appear after a merge?

Neotask processes GitHub webhook events within seconds of delivery. In most cases the PostHog annotation is visible before your CI pipeline has finished running.

Make Every Deployment Visible in Your Analytics

Neotask connects GitHub and PostHog so your team always knows what shipped and what it changed.

Start free

Plans

Free

$0/mo

Download without a card and start for free.

Individual

$50/mo

The full personal agent platform for one person.

Business

$100/mo

One company workspace with room to add your team.

Enterprise

$200/mo

Multiple workspaces and capacity for larger teams.

Explore Each Integration

Related integrations

Explore: Integrations · Skills · Glossary · Solutions · Use cases · Examples · Comparisons · Templates · Blog · Docs