PostHog
PostHog custom analytics
that build themselves.
Connect your PostHog instance and build custom dashboards, feature flag management tools, and experiment result viewers — just by describing what you need.
Ship features with confidence.
See where users drop off.
Build what brings them back.
A/B tests that explain themselves.
Build experiment result portals your whole team can understand. Confidence intervals, winner declarations, no statistics degree required.
Checkout Flow Redesign
Simplifying the checkout to 2 steps will increase conversion by 15%+
What product engineers build with camelAI.
Feature adoption dashboards
Track every feature flag rollout from release to power-user adoption. See adoption curves, retention by cohort, and the features that actually stick — all in a shareable dashboard your PM will love.
Experiment result portals
Build an A/B test results viewer for your whole team. Confidence intervals, sample sizes, conversion lifts, and clear winner declarations — no statistics degree required.
User journey analyzers
Funnels, user paths, and drop-off analysis. Ask questions like “where do users churn after signup?” and get interactive visualizations you can drill into.
Automated metric alerts
Set up cron jobs that query PostHog on a schedule, check for anomalies in your product metrics, and ping you in Slack when something needs attention.
We love open source too.
PostHog is open source. Your camelAI apps publish to the open web. No lock-in, no walled gardens — just your data, your tools, your way.
Open data
Your PostHog instance, your events, your queries. camelAI reads your data — never stores, never locks you in.
Open deployment
Publish to *.camelai.app and share with anyone. No walled garden. Your dashboards live on the open web.
Open integration
50+ connections beyond PostHog. Pull in Stripe revenue, Slack alerts, GitHub deploys — one unified view.
What will you build on your PostHog data?
“Connect to our PostHog instance and build a feature adoption dashboard. Show rollout percentage, daily active users per flag, and a retention curve for each feature released this quarter.”
Try this prompt“Pull our A/B experiment results from PostHog. Build a portal where anyone on the team can see conversion rates, confidence intervals, and which variant won — with filters by date and experiment name.”
Try this prompt“Analyze our signup funnel from PostHog events: landing_page → signup_start → email_verified → first_project → invited_teammate. Show drop-off percentages and breakdown by acquisition source.”
Try this prompt“Set up a cron job that checks our PostHog metrics every morning. If daily active users drops more than 15% week-over-week, post an alert to #product-alerts in Slack with a breakdown by platform.”
Try this prompt