
PostHog
Analytics
Heap Analytics
AnalyticsPostHog and Heap Analytics are both popular choices, but they serve different needs. PostHog is a Analytics with a traditional, manual approach to building, while Heap Analytics is a Analytics that prioritises developer or designer control.
Below you'll find a side-by-side breakdown of detection signals, AI scores, and technical fingerprints — plus our honest take on which builder wins for different use cases.
How we detect PostHog vs Heap Analytics — see our methodology: AI Influence Score calculation, evidence tiers, and fingerprint signal types.
| Category | Analytics | Analytics |
| AI Score | 10/100 — Unknown | 10/100 — Unknown |
| Detection Signals | 4 patterns | 3 patterns |
| Script Detection | 3 patterns | 2 patterns |
| CDN Detection | — | — |
| Header Detection | — | — |
| Sites Detected | No data yet | No data yet |
| Best For | Professional websitesTry PostHog → | Professional websitesTry Heap Analytics → |
| Official Website | Visit | Visit |
Analytics
PostHog is a analytics with an AI Score of 10/100 (Unknown). Our detection engine uses 4 signal patterns to identify PostHog-built sites.
Analytics
Heap Analytics is a analytics with an AI Score of 10/100 (Unknown). Our detection engine uses 3 signal patterns to identify Heap Analytics-built sites.
PostHog is an open-source product analytics platform used by engineering and product teams who want full control over their user behavior data, session recordings, and feature flag management. Unlike SaaS-only analytics tools, PostHog can be self-hosted or deployed via PostHog Cloud, which means detection signals vary depending on how a given site has implemented it. AIWebsiteDetector's detection engine identifies PostHog installations using 3 distinct script patterns — typically referencing PostHog's CDN-served library or self-hosted JavaScript bundles — alongside 1 HTML pattern that appears in the page markup when the tracker is initialized. These signals are cross-referenced to produce a confident match whether the implementation points to PostHog's managed cloud infrastructure at posthog.com or a custom self-hosted endpoint. The dual deployment model — cloud versus self-hosted — makes PostHog one of the more technically interesting analytics platforms to detect reliably, as the script fingerprints must account for both standardized CDN paths and operator-customized configurations.
Heap Analytics is a behavioral analytics platform used primarily by product teams and growth-focused organizations to automatically capture user interactions — clicks, form submissions, page views — without requiring manual event instrumentation. AIWebsiteDetector.com identifies Heap Analytics deployments through a combination of 2 distinct script patterns and 1 HTML pattern, typically involving Heap's JavaScript snippet loading from their CDN infrastructure and characteristic inline initialization code embedded in the page source. These signals allow the detection engine to distinguish Heap implementations from other analytics tools with high confidence, even when the snippet is loaded asynchronously or through tag managers. Heap's official platform is accessible at heap.io, and its integration pattern — particularly the unique `window.heap` object initialization and the numeric App ID embedded directly in the HTML — makes it reliably identifiable across a wide variety of site types, from SaaS dashboards to e-commerce properties.
Choose PostHog if…
Choose Heap Analytics if…
Our Pick — Based on our detections
The most frequently detected analytics in our scan database.
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