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OpenReplay
Live Chat · 312.9K monthly visits

OpenReplay is a self-hostable, open-source session replay and product analytics suite. It empowers teams to understand user behavior, reproduce bugs faster, and optimize digital experiences. By providing visual context alongside technical data like console logs and network activity, OpenReplay helps engineers, product managers, and support teams identify frictions, improve conversion funnels, and enhance overall product usability while maintaining full control over customer data.

VS
PostHog
Customer Data Platform · 2.6M monthly visits

PostHog is an all-in-one, open-source product analytics platform for developers. It combines product analytics, session replay, feature flags, and A/B testing into a single tool, eliminating the need for a fragmented data stack. It's designed to help teams understand user behavior and build better products faster.

OpenReplay vs PostHog: pricing, features, traffic, and use cases

Compare OpenReplay and PostHog across positioning, pricing, traffic, and user feedback using structured factual data.

Updated Aug 19, 2026

Product overview

OpenReplay Product overview

OpenReplay is a self-hostable, open-source session replay and product analytics suite. It empowers teams to understand user behavior, reproduce bugs faster, and optimize digital experiences. By providing visual context alongside technical data like console logs and network activity, OpenReplay helps engineers, product managers, and support teams identify frictions, improve conversion funnels, and enhance overall product usability while maintaining full control over customer data.

Preview

PostHog Product overview

PostHog is an all-in-one, open-source product analytics platform for developers. It combines product analytics, session replay, feature flags, and A/B testing into a single tool, eliminating the need for a fragmented data stack. It's designed to help teams understand user behavior and build better products faster.

Preview

Detailed feature comparison

FeatureOpenReplayPostHog
Primary categoryLive ChatCustomer Data Platform
Added2025-08-102025-08-14
PricingFreemiumFreemium
Official websiteopenreplay.composthog.com
Product typeWebsiteWebsite
Performance data
User ratingNot verifiedNot verified
Comments00
Monthly visits312.9K2.6M
Monthly growth4.8%14.9%
Favorites146100
DetailsView detailsView details

OpenReplay vs PostHog monthly traffic

Compare OpenReplay and PostHog by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the OpenReplay vs PostHog monthly traffic comparison, OpenReplay currently shows 312.9K visits and PostHog shows 2.6M; PostHog has about 8.2 times the visible traffic of OpenReplay, an absolute difference of about 2.3M visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

OpenReplay monthly traffic:

Latest traffic

Monthly visits
312.9K
Avg. visit duration
0:38
Pages per visit
1.75
Bounce rate
50.44%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 334.3K Monthly visits
  • 2026/1: 353.5K Monthly visits
  • 2026/2: 274.3K Monthly visits
  • 2026/3: 297.3K Monthly visits
  • 2026/4: 298.6K Monthly visits
  • 2026/5: 312.9K Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States31.77%99.4K
🇷🇺Russia25.25%79K
🇻🇳Vietnam15.75%49.3K
🇫🇷France14.48%45.3K
🇩🇪Germany12.75%39.9K

Traffic sources

Source typePercentageTraffic
Direct70.34%220.1K
Referral28.6%89.5K
Email1.06%3.3K

Search keywords

base64 decodehex to rgbopenreplayrgba to hexrgb to hex

PostHog monthly traffic:

Latest traffic

Monthly visits
2.6M
Avg. visit duration
9:55
Pages per visit
8.17
Bounce rate
29.55%
Data updated 2026-06-11

Monthly traffic trend

  • 2025/9: 1.7M Monthly visits
  • 2026/1: 1.8M Monthly visits
  • 2026/2: 1.8M Monthly visits
  • 2026/3: 2.2M Monthly visits
  • 2026/4: 2.2M Monthly visits
  • 2026/5: 2.6M Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States47.14%1.2M
🇧🇷Brazil15.49%399.8K
🇮🇳India14.47%373.5K
🇬🇧United Kingdom13.77%355.4K
🇦🇺Australia9.13%235.7K

Traffic sources

Source typePercentageTraffic
Direct90.46%2.3M
Referral7.53%194.4K
Email2.01%51.9K

Search keywords

post hogposthogposthog mcpposthog pricingposthogs
Traffic-based selection guidance: If public market visibility is an important first-pass criterion, investigate PostHog first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Usage comparison

Compare the core capabilities of OpenReplay and PostHog

OpenReplay Core features

Debugging
Live Chat
Analytics

PostHog Core features

Debugging
Customer Data Platform
Analytics
Testing

Use cases

OpenReplay Use cases

developer tools
open source
product analytics
session replay
user behavior
bug tracking
co-browsing
funnel analysis
heatmaps
self-hosted
UX research

PostHog Use cases

developer tools
open source
product analytics
session replay
user behavior
A/B testing
conversion optimization
data platform
error tracking
feature flags

OpenReplay vs PostHog:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth OpenReplay vs PostHog comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. OpenReplay is primarily listed under “Live Chat”, while PostHog is primarily listed under “Customer Data Platform”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Primary category (OpenReplay: Live Chat; PostHog: Customer Data Platform); Monthly visits (OpenReplay: 312.9K; PostHog: 2.6M); Monthly growth (OpenReplay: 4.8%; PostHog: 14.9%); Favorites (OpenReplay: 146; PostHog: 100); Website (OpenReplay: openreplay.com; PostHog: posthog.com). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the OpenReplay vs PostHog monthly traffic comparison, OpenReplay currently shows 312.9K visits and PostHog shows 2.6M; PostHog has about 8.2 times the visible traffic of OpenReplay, an absolute difference of about 2.3M visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

If public market visibility is an important first-pass criterion, investigate PostHog first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Product positioning, use cases, and roles

OpenReplay and PostHog currently overlap in shared categories: Debugging; shared tags: developer tools, open source, product analytics, session replay, and user behavior. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

OpenReplay's unique categories/tags are Live Chat, Analytics, bug tracking, co-browsing, funnel analysis, heatmaps, self-hosted, and UX research; PostHog's are Customer Data Platform, Analytics, Testing, A/B testing, conversion optimization, data platform, error tracking, and feature flags. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.

What ratings, comments, and favorites can tell you

OpenReplay has no verified rating, 0 comments, 146 favorites, and 149 likes;PostHog has no verified rating, 0 comments, 100 favorites, and 94 likes。

Neither product has enough rating or comment samples for a credible reputation ranking.

Selection guidance by actual need

When to evaluate OpenReplay first

Put OpenReplay on the priority trial list when the task aligns with “Live Chat” and especially Live Chat, Analytics, bug tracking, co-browsing, funnel analysis, and heatmaps. This follows recorded positioning and does not imply unlisted capabilities are absent.

OpenReplay also currently records: pricing is freemium, product type is website, 312.9K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

When to evaluate PostHog first

Put PostHog on the priority trial list when the task aligns with “Customer Data Platform” and especially Customer Data Platform, Analytics, Testing, A/B testing, conversion optimization, and data platform. This follows recorded positioning and does not imply unlisted capabilities are absent.

PostHog also currently records: pricing is freemium, product type is website, 2.6M verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

How to validate the recommendation before deciding

The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in OpenReplay and PostHog, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.

Comparison FAQ

How should I choose between OpenReplay and PostHog?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.

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