For developers just starting out, PostHog is a free way to understand how your product is being used, without having to send any data to 3rd parties.
For enterprise customers, one data security becomes a key concern, or B2C businesses where using a SaaS solution is unaffordable, it's typical to see teams hosting an event capture platform, a data lake, and sophisticated analytics tools. The end result is that data scientists are needed and most developers don't have easy access to product intel. PostHog solves that gap - it lets everyone understand how your product is being used, without having to send data to 3rd parties, even once you have scaled to millions of visitors.
It has a JS snippet that can autocapture events, and pre-built libraries to push backend data to. Build up full user histories, visualize product trends, funnels, and run experiments with new features.
A startup from San Francisco, the United States that is founded by James Hawkins, Tim Glaser.
Self-Hosting Option
PostHog can be self-hosted, allowing you to maintain control over your data and ensuring compliance with strict data privacy regulations.
Complete Analytics Suite
Provides a complete suite of product analytics tools including feature flags, session recordings, and heatmaps, enabling comprehensive user behavior analysis.
Open-Source
Being open-source, PostHog allows for high customizability and the potential to contribute to the codebase, fostering a community-driven development approach.
Privacy-Focused
Designed with privacy in mind, PostHog globally complies with GDPR, CCPA, and other privacy laws, reducing the risk of legal complications.
Event-Driven Architecture
Its event-driven architecture provides high flexibility in tracking custom events, allowing for more detailed and tailored analytics.
Integrations
PostHog integrates with a variety of tools and services such as Slack, GitHub, and Zapier, streamlining workflows and enhancing productivity.
Promote PostHog. You can add any of these badges on your website.
Yes, PostHog is a robust and versatile analytics tool. Its open-source nature, coupled with a rich feature set comparable to major analytics platforms, makes it an excellent choice for teams looking for an in-depth and customizable analytics solution.
We have collected here some useful links to help you find out if PostHog is good.
Check the traffic stats of PostHog on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of PostHog on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of PostHog's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of PostHog on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about PostHog on Reddit. This can help you find out how popualr the product is and what people think about it.
Opus, zero nudges. Realised on its own that an abandoned signup never fires identify, triangulated the anonymous session from time, platform and registration events, decoded the PostHog replay blobs, confirmed the duplicate account in Supabase, proved the reset email never sent, and pulled the root cause out of an unmasked DOM field. One prompt in; root cause out. - Source: dev.to / 1 day ago
This is the same model that PostHog, Supabase, and dozens of other developer tools use. Open core, with a managed offering on top. - Source: dev.to / 3 months ago
Offchain: Website traffic, in-app behaviour, marketing channels, growth campaigns (Google Analytics or PostHog). - Source: dev.to / 3 months ago
--- Title: "Validate Your Startup Idea in One Weekend: Next.js + PostHog + Stripe Test Mode" Published: true Description: "A step-by-step workshop for wiring up a landing page with analytics, a waitlist, and Stripe test-mode checkout to measure real willingness-to-pay before writing product code." Tags: typescript, api, architecture, cloud Canonical_url:... - Source: dev.to / 3 months ago
Topic PostHog (Web Vitals) Apogee Watcher Primary job Product analytics OS; Web Vitals are real-user metrics from the browser Synthetic PageSpeed monitoring + CrUX in results Instrumentation Requires posthog-js on the site No script on monitored sites Metrics FCP, LCP, INP, CLS from real sessions ($web\_vitals) when capture runs Lighthouse lab + CrUX (where available) via PSI Cookieless analytics With... - Source: dev.to / 3 months ago
PostHog provides an open-source analytics approach, giving teams flexibility to customize dashboards, session recordings, and heatmaps. - Source: dev.to / 4 months ago
Originally built for Web2, PostHog can be extended with Web3 event tracking through custom data pipelines. Key features of Posthog are funnels, session recordings, feature flags, open-source & self-hosted. - Source: dev.to / 4 months ago
A big thanks to PostHog who pioneered this approach with HogQL, a SQL-like interface on top of ClickHouse. TRQL started as a TypeScript conversion of their Python implementation but evolved significantly during development to handle our specific use cases. - Source: dev.to / 4 months ago
Plausible brought open source to web analytics. Cal.com did it for scheduling. Formbricks did it for surveys. PostHog did it for product analytics. Quackback does it for feedback collection. - Source: dev.to / 5 months ago
PostHog tracks product analytics, and a Supabase function handle custom feedback collection. - Source: dev.to / 6 months ago
Yesterday, we hosted an MCP Builder Breakfast with PostHog at our office โ a space where developers can connect and exchange ideas on the latest trends in MCP development. - Source: dev.to / 10 months ago
This is why I've been so impressed with PostHog. Itโs a platform built for product engineers that combines analytics, feature flags, and session replay into a single, cohesive solution. For a Django developer, this means you can spend less time integrating tools and more time building what matters, backed by real data. - Source: dev.to / 10 months ago
PostHog analytics you can self-host (great for privacy). - Source: dev.to / 11 months ago
For monitoring, there are separate full-fledged monitoring solutions like Opik, PostHog, Langfuse or OpenLLMetry, maybe will try some next time. - Source: dev.to / about 1 year ago
I'm unable to see their website https://posthog.com Is it just me? - Source: Hacker News / over 1 year ago
Send events to analytics tools like PostHog. - Source: dev.to / over 1 year ago
For SaaS startups looking for a powerful, privacy-conscious analytics platform, PostHog provides an all-in-one solution designed for modern product teams. - Source: dev.to / over 1 year ago
The next rung up are User recordings. For users that are having issues, we have concrete recorded data for their flow. The flows would include anything relevant to the application, how they used it, what actions they took. All so we can actually see what happened in context for when there is a problem. No one wants to spend any time looking at recordings if they don't have to. It is also very difficult to identify... - Source: dev.to / over 1 year ago
Posthog. Posthog has a lot of sub products but I use it mainly for analytics and session replays. I have to say Posthog is an impressive product. Everything from dev experience to dashboards is just awesome. Great to see GA finally got some real competition. I'm looking forward to try all the other products from them. - Source: dev.to / over 1 year ago
Visit Posthog Website and signup to create your account using either email, google, or github etc. - Source: dev.to / over 1 year ago
We use tools like Posthog to measure how users are using our products. This allows us to see what features are being used and which ones are not. - Source: dev.to / over 1 year ago
Public Opinion Summary on PostHog
PostHog, positioning itself as a robust alternative to mainstream analytics platforms, has garnered significant attention for its comprehensive feature set. As a product analytics platform, it encompasses functionalities such as user analytics, session recording, feature flags, and A/B testing, aligning itself as a competitor to well-known players like Mixpanel, Amplitude, and Google Analytics.
Adoption and Market Position
According to recent data, PostHog's market penetration reflects its increasing popularity among startups and mid-sized companies. It is reported to be used by approximately 5,169 of the top one million websites, a modest yet noteworthy share when paralleled against Hotjar's 72,048. Notable adopters of PostHog include companies such as Webshare, AssemblyAI, and Purplewave, indicating its appeal among engineering and product management teams.
Features and Usability
Reviews highlight PostHogโs exhaustive feature set, with particular emphasis on its session replay capability, which provides deep insights into user behavior and is especially valued for aligning product development with user needs. Users frequently mention the platform's ease of integration, privacy-conscious analytics, and the flexibility it offers due to its open-source nature. In the realm of feature flagsโessential for continuous deployment processesโPostHog is often mentioned alongside other open-source solutions, illustrating its versatility and integration potential.
Technical Considerations and User Feedback
Technical discussions within forum posts and articles often reference PostHog's architectural foundation on ClickHouse, a potent OLAP database, underscoring its capacity to handle extensive data volumes efficiently. This aspect makes it attractive for developers seeking robust data processing capabilities without resorting to traditional application databases.
Challenges and Criticisms
Despite its strengths, PostHog users have noted potential concerns, such as compatibility issues with ad-blockers potentially hindering analytics functionality. However, these challenges appear to be offset by its valuable features and continuous development.
Community and Support
The commitment from PostHog to foster a supportive community is evident, as seen in various job postings aiming to attract technical talent across different geographical regions. This strategy not only enhances product development but also stimulates community engagement and feedback.
Conclusion
Overall, the public perception of PostHog is largely positive, with many technical users appreciating its wide array of features, open-source flexibility, and adeptness in product analytics. While its market share is still growing when compared to established competitors, its continuous enhancements and strong appeal to technical users suggest that it is well-positioned to expand its influence within the analytics domain.
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Is PostHog good? This is an informative page that will help you find out. Moreover, you can review and discuss PostHog here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.