ModelsAgree
← All leaderboards

PostHog

What ChatGPT, Claude, Gemini & Grok actually say · August 2026

Visit posthog.com

The verdict

PostHog appears in 19 AI-ranked categories — best position #1 for open-source product analytics for self-hosting.

GPT #2Claude #1Gemini #1Grok #1

The clear category leader for self-hosted product analytics — a genuinely integrated suite (funnels, retention, cohorts, paths, feature flags, experiments, session replay, and a SQL layer over ClickHouse) that matches Amplitude/Mixpanel feature-for-feature while remaining MIT/open-source; strong SDK coverage and autocapture lower instrumentation cost for small teams.

Gemini Delivers the most complete open-source product analytics suite by integrating event funnels, cohort retention, session replay, feature flags, and A/B testing on a scalable ClickHouse backend. Assumes team prioritizes an all-in-one product telemetry platform.

Grok Deepest open-source product analytics (events, funnels, retention, cohorts, paths, SQL) plus native session replay, feature flags, and experiments in one stack; MIT license, active development, strong SDKs, and production self-host path that matches what engineering-led product teams actually ship with

GPT Near-tied for first and clearly deepest analytically, combining autocapture, funnels, cohorts, retention, SQL, replay, experiments, flags, surveys, warehouse integrations, and unusually broad SDK coverage

Where PostHog falls short, per the models

  • GPT Self-hosting is officially unsupported, resource-heavy, limited to free-plan features, and recommended only for modest hobby-scale deployments, so it is not for teams expecting dependable vendor-backed production operation
  • Claude PostHog itself now steers users to Cloud and only supports the Docker self-host for small volumes (roughly <100k events/month); running the full ClickHouse+Kafka+Redis stack reliably at scale is heavy ops work they no longer officially back.
  • Gemini High operational complexity and infrastructure footprint requiring dedicated ClickHouse maintenance and DevOps overhead when scaled.
  • Grok Resource-heavy self-host (ClickHouse/Kafka stack) that PostHog itself limits to lower volumes and actively steers larger users toward their cloud

Poll history — #1 in all 2 polls since Aug 3

#1#1

Top alternatives per the models: Countly · OpenPanel · OpenReplay · Matomo

#1🎥 Best Session replay tool4/4 models · updated 2026-07-19
GPT #2Claude #1Gemini #1Grok #2

Session replay bundled natively with product analytics, feature flags, and error tracking, so replays are one click from any funnel drop-off or event — the workflow integration most practitioners actually need; generous free tier (5K replays/month) and usage-based pricing make it viable from side project to scale-up; console logs, network capture, and mobile replay (iOS/Android/React Native) are all included. Assumption: the typical practitioner wants replay connected to analytics, not a standalone viewer.

Gemini Seamlessly combines session replay with full event analytics, feature flags, and SQL querying in a single open-core platform, offering exceptional contextual value and cost efficiency.

GPT Exceptional value combining replay with product analytics, funnels, feature flags, experiments, surveys, error context, transparent usage pricing, and a generous free allowance; the best default for product-led engineering teams

Grok Open-source with self-hosted option for data sovereignty/privacy; generous free tier (5k sessions), all-in-one product analytics + feature flags + replays; developer-friendly, extensible, and cost-effective for growing teams balancing replay with broader tooling.

Where PostHog falls short, per the models

  • GPT Its broad, fast-changing platform is less polished and approachable than replay-focused tools for nontechnical researchers
  • Claude The all-in-one breadth means the replay experience itself is less polished than dedicated tools — search/segmentation on replay-specific signals (frustration scoring, ML-surfaced moments) trails FullStory, and self-hosting is no longer supported at scale.
  • Gemini Requires careful client-side sampling configuration on heavy web apps to avoid performance overhead, and the UI caters more to engineers than dedicated UX researchers.

Top alternatives per the models: LogRocket · FullStory · Microsoft Clarity · OpenReplay

GPT #1Claude #1Gemini #2Grok #3

Best overall value for technical PLG SaaS teams: strong funnels, retention, paths, cohorts, session replay, surveys, experiments, feature flags, warehouse integrations, and generous usage-based pricing in one platform; open-source deployment is also possible

Claude Best value and breadth for PLG teams — event analytics, session replay, feature flags, A/B testing, and warehouse-backed SQL in one platform, with a genuinely usable free tier and transparent usage pricing that lets a startup run its whole growth stack without stitching four vendors together; open-source/self-host option resolves data-residency concerns. Assumption: the typical PLG practitioner is at a startup-to-midmarket SaaS where engineering owns instrumentation.

Gemini The leading open-source, all-in-one suite that combines event-based product analytics with session replays, feature flags, surveys, and A/B testing, offering unmatched value and flexibility for developer-centric growth teams. Near-tied with Mixpanel, it ranks second only due to its higher complexity for non-technical users.

Grok Open-source/all-in-one (analytics + session replay + feature flags + experiments) with strong free tier, data ownership/self-hosting, and cost-effectiveness for engineering-led PLG SaaS wanting control and bundled capabilities.

Where PostHog falls short, per the models

  • GPT Its rapidly expanding suite can feel less polished and less approachable to nontechnical product teams than analytics-first competitors
  • Claude The UI and analysis depth trail Amplitude for sophisticated non-technical analysts — large orgs with dedicated product analysts and heavy governance needs will find its data-management and permissioning layers comparatively thin.
  • Gemini Self-hosting is complex to scale and maintain, while its all-in-one UI can feel cluttered and less specialized than single-purpose analytics platforms.
  • Grok UI/analytical polish sometimes lags closed-source leaders; self-hosting overhead (not for non-technical PM-heavy teams seeking simplest self-serve experience).

Top alternatives per the models: Amplitude · Mixpanel · Pendo · Heap

#2📈 Best Product analytics platform for B2B SaaS4/4 models · updated 2026-07-19
GPT #2Claude #1Gemini #2Grok #3

Best value in the category by a wide margin for the typical B2B SaaS team — event analytics, group/account-level analytics (critical for B2B), session replay, feature flags, experiments, and surveys in one tool with a generous usage-based free tier, self-serve setup, open-source core, and optional self-hosting for data-control requirements; assumption: the typical practitioner is a product/growth engineer at a seed-to-mid-size SaaS who values consolidation and transparent pricing over enterprise governance

GPT Near-tie for first and the strongest value for engineering-led SaaS teams, combining product analytics, group analytics, session replay, feature flags, experiments, surveys, warehouse tooling, transparent usage pricing, and an open-source deployment option.

Gemini All-in-one open-source platform combining account-level analytics with session replay, feature flags, and A/B testing at exceptional cost efficiency for B2B product-led growth (PLG) teams.

Grok Outstanding value with generous free tier, open-source/self-host flexibility, bundled session replay + feature flags + experiments; group analytics included and strong for technical B2B teams controlling their data

Where PostHog falls short, per the models

  • GPT Its broad, fast-evolving toolkit is less polished and approachable for nontechnical self-service analysts than Amplitude.
  • Claude Not built for large-enterprise needs — governance, data taxonomy management, and support maturity lag Amplitude, and the all-in-one breadth means some individual modules are shallower than dedicated competitors
  • Gemini Deep predictive behavioral modeling and granular enterprise data governance are weaker than dedicated enterprise analytics tools.
  • Grok Requires more engineering involvement for optimal setup/maintenance than pure SaaS alternatives

Top alternatives per the models: Amplitude · Mixpanel · Pendo · Heap

#2📊 Best product analytics tool4/4 models · updated 2026-07-15
GPT #2Claude #1Gemini #2Grok #3

The all-in-one platform (event analytics, session replay, feature flags, A/B testing, surveys, SQL access, warehouse) at a price and free tier no rival matches, open-source with self-host option, and engineer-friendly setup; assumes the typical practitioner is a startup-to-mid-size product/eng team that values breadth and cost over polished enterprise governance

GPT Near-tie for first and the strongest value for engineering-led teams: excellent analytics, replay, flags, experiments, surveys, warehouse querying, transparent usage pricing, and an open-source deployment option in one stack.

Gemini Provides the most comprehensive and developer-friendly suite by natively combining event analytics, session replays, feature flags, and A/B testing in a single open-source platform.

Grok Outstanding value with all-in-one features (analytics, replays, flags, experiments), open-source flexibility, developer-friendly self-hosting

Where PostHog falls short, per the models

  • GPT Its broad, fast-changing interface is less polished and approachable for nontechnical product teams than Amplitude.
  • Claude Breadth over depth — its query UX and behavioral analysis (journeys, advanced cohort logic) trail Amplitude, and self-hosting at real scale is officially discouraged; not for large enterprises needing mature governance, SLAs, and dedicated support
  • Gemini The all-in-one approach results in individual tools that are shallower than dedicated, best-of-breed alternatives, and the interface is too technical for non-developers.
  • Grok Improve ease-of-use and UI polish for non-technical users

Poll history — On this board 8 of 8 polls since Jun 29 · #1 the last 2

#3#2#2#2#3#2#1#1

What changed in the models’ minds

ClaudeJul 14Jul 15 poll

  • Newengineer-friendly setup
  • Newneeds mature SLAs and supportnot for large enterprises needing mature governance, SLAs, and dedicated support
  • Droppedremoves vendor lock-in fearsremove vendor lock-in fears

GPTJul 14Jul 15 poll

  • Newnear-tie for first
  • Newfast-changing interfacebroad, fast-changing interface
  • Newless polished than Amplitudeless polished and approachable for nontechnical product teams than Amplitude
  • Droppederror tracking

+1 more change

GeminiJul 14Jul 15 poll

  • Newopen-source platformsingle open-source platform
  • Newtoo technical for non-developersthe interface is too technical for non-developers
  • Droppedself-hosting complex at scaleself-hosting is highly complex to maintain at scale

Top alternatives per the models: Amplitude · Mixpanel · Heap · Pendo

GPT #4Claude #3Gemini #3Grok #2

Robust group analytics for true multi-user account funnels, retention, and churn at company level, plus all-in-one session replay/feature flags/experiments so insights convert directly to action; open-source/self-host option plus transparent usage pricing deliver exceptional real-world value for technical or cost-sensitive B2B teams

Claude All-in-one product suite (analytics, session replay, feature flags, experiments, surveys) that's warehouse-friendly and self-hostable/open-source — exceptional value and dev control, group analytics cover the account dimension.

Gemini All-in-one open-source platform offering native group analytics alongside session replay, feature flags, and data warehouse sync, delivering exceptional transparency and data compliance for B2B engineering teams.

GPT Strong group-level funnels, retention and stickiness plus session replay, SQL, warehouse data, feature flags and account-randomized experiments; exceptional value for engineering-led teams wanting one integrated stack.

Where PostHog falls short, per the models

  • GPT Group analytics is a paid, still-maturing layer with gaps such as no group lifecycle or path analysis, so polished account workflows are not its strength.
  • Claude Each module is good-not-best; the analytics UI is less polished for non-technical PMs and heavy self-host operations carries real ops burden.
  • Gemini Demands ongoing engineering effort to maintain data schema cleanliness and manage infrastructure compared to pure managed SaaS options.
  • Grok Interface can feel denser and less polished for pure PM self-serve compared with Mixpanel; group features sit behind add-on maturity in some plans

Poll history — On this board 2 of 2 polls since Aug 3 · now #2

#4#2

Top alternatives per the models: Mixpanel · Amplitude · June · Pendo

#3📊 Best A/B testing tools for engineering teams4/4 models · updated 2026-07-17
GPT #5Claude #3Gemini #3Grok #4

Best all-in-one for startups and mid-size product teams — experiments sit beside analytics, flags, replay, and surveys with one SDK and one data store, so the setup cost of experimentation drops to nearly zero; open-source core, transparent usage pricing, and a developer-first culture that fits engineering teams well.

Gemini Consolidates feature flags, A/B testing, session recording, and product analytics under a single, developer-first platform, allowing engineers to correlate experimental cohorts directly with server logs, errors, and UX replays without integrating multiple SDKs.

Grok Open-source all-in-one with integrated product analytics, session replay, flags, and built-in A/B experimentation that fits engineering stacks seamlessly; generous free tier and self-hosting for full control.

GPT Exceptional value for startups and lean engineering teams because experiments, feature flags, product analytics, session replay, and observability share one developer-friendly platform with open-source deployment options

Where PostHog falls short, per the models

  • GPT Its experimentation program controls and advanced statistical depth are less mature than the specialist leaders
  • Claude Its experimentation stats engine is the shallowest of the top three (weaker variance reduction, fewer advanced designs like switchback/holdouts), so dedicated experimentation teams outgrow it.
  • Gemini Its statistical engine is relatively basic and lacks the advanced mathematical rigor (like CUPED or complex multi-armed bandits) found in dedicated experimentation suites, making it less suitable for high-precision scientific testing.
  • Grok Broader suite can add complexity if you only need focused experimentation/flags (analytics overhead for pure eng use cases).

Top alternatives per the models: Statsig · GrowthBook · LaunchDarkly · Eppo

GPT #3Claude #3Gemini #5Grok #4

Exceptional value for engineering-led SaaS teams, combining product analytics, group analytics, replay, feature flags, experiments, surveys, and data-warehouse tooling with open-source deployment options.

Claude Best value and the best engineer-led option: open-source core, autocapture plus explicit events, funnels/retention/paths, session replay, and feature flags with built-in flag-adoption metrics in one platform — measuring adoption of a flagged rollout in the same tool that gated it is uniquely efficient. Generous usage-based free tier makes it the default for startups; self-hosting covers strict data-residency cases.

Grok Open-source all-in-one (analytics + session replay + feature flags + experiments) with transparent pay-as-you-go/self-host pricing, generous free tier, and strong developer appeal; delivers high value for feature adoption tracking plus action (flags) without vendor lock-in for tech-forward B2B SaaS.

Gemini An all-in-one developer-friendly platform combining product analytics, session replays, feature flags, and A/B testing, offering self-hosting options and a generous free tier ideal for security-conscious B2B SaaS startups.

Where PostHog falls short, per the models

  • GPT Less approachable for nontechnical product and customer-success teams than Pendo or Amplitude.
  • Claude B2B account-level analytics (group analytics) is less mature than Amplitude's, and the kitchen-sink breadth means individual modules are shallower than best-of-breed; non-technical PMs find it rougher.
  • Gemini Account-based (group) analytics requires manual property configuration and custom code setup, making it less turn-key for B2B teams compared to June or Pendo.
  • Grok UX can feel more engineering-oriented/cluttered for non-dev PMs; self-hosting adds ops overhead for some.

Top alternatives per the models: Pendo · Amplitude · Mixpanel · June

#4📈 Best mobile analytics tool for apps4/4 models · updated 2026-07-15
GPT #3Claude #4Gemini #5Grok #4

Strong open-source value combining product analytics, session replay, feature flags, experiments, surveys, and data access, with cloud and self-hosted options that reduce vendor lock-in.

Claude All-in-one open-source platform — product analytics plus mobile session replay, feature flags, and experiments in a single tool with transparent usage pricing and a self-host option; mobile SDKs (iOS, Android, React Native, Flutter) matured substantially by 2026, and consolidating four tools into one is real value for lean teams.

Grok Open-source/all-in-one with product analytics, session replay, feature flags, experiments, error tracking; generous free tier, self-host option for privacy/control; solid merit for technical teams wanting extensibility at low cost.

Gemini A developer-first platform combining product analytics, session replays, feature flags, and A/B testing into a single SDK, offering a generous free tier and open-source hosting options.

Where PostHog falls short, per the models

  • GPT Mobile functionality and polish remain less mature and consistent than its web-first experience.
  • Claude Mobile is younger than its web surface — mobile replay and autocapture lag the web experience — and it assumes an engineer-led, self-serve culture rather than polished analyst hand-holding.
  • Gemini Its native mobile SDKs are less mature than their web counterpart, and self-hosting requires significant engineering overhead to maintain.
  • Grok Web-first origins mean mobile SDK depth/offline handling lags dedicated app tools; not for non-technical users or enterprises avoiding self-management.

Poll history — On this board 4 of 7 polls since Jun 30 · #4 the last 2

#8#3#4#4

What changed in the models’ minds

GPTJul 14Jul 15 poll

  • Newdata access
  • Newreduce vendor lock-in
  • Droppedtransparent usage pricing
  • Droppedvalue for technical teamsOutstanding value for technical teams

+1 more change

GeminiJul 14Jul 15 poll

  • Newsingle SDKinto a single SDK
  • Newgenerous free tieroffering a generous free tier
  • Droppeddata privacy and complete ownershipteams want data privacy and complete ownership
  • Droppedmanage data pipeline infrastructure at scale

ClaudeJul 9Jul 14 poll

  • NewMobile SDKs matured substantiallymobile SDKs (iOS, Android, React Native, Flutter) matured substantially by 2026
  • NewReal value for lean teamsconsolidating four tools into one is real value for lean teams
  • NewAssumes engineer-led self-serve cultureit assumes an engineer-led, self-serve culture rather than polished analyst hand-holding

Top alternatives per the models: Amplitude · Mixpanel · Firebase Analytics · UXCam

#4👥 Best customer data platform for product teams2/4 models · updated 2026-07-20
GPT Claude Gemini #3Grok #2

Open-source product analytics platform with strong CDP/event pipeline capabilities built for product teams—combines tracking, session replay, feature flags, A/B testing, and warehouse integration in one developer-friendly tool; excellent for rapid iteration and user behavior insights with low friction.

Gemini Open-source product platform combining event ingestion, identity resolution, feature flagging, session replay, and product analytics out of the box, eliminating the vendor friction of pairing separate CDPs with standalone analytics tools; near-tie with RudderStack for product-led growth.

Where PostHog falls short, per the models

  • Gemini Data governance, schema validation, and third-party SaaS destination ecosystem are far narrower than dedicated enterprise CDPs.
  • Grok Less emphasis on broad enterprise marketing activations or massive scale compared to pure routing CDPs (not ideal for heavy non-product use cases).

Poll history — On this board 2 of 2 polls since Jul 19 · now #2

#6#2

Top alternatives per the models: Segment · RudderStack · mParticle · Hightouch

#4🚩 Best feature flag platform3/4 models · updated 2026-07-15
GPT #4Claude #4Gemini #4Grok

Exceptional practical value for startups and product-engineering teams because flags, experiments, analytics, replay, and user-level debugging share one self-serve system with transparent pricing and a substantial free tier

Claude Flags and experiments bundled with product analytics, session replay, and surveys in one tool with transparent usage-based pricing — the integration means experiment results sit next to the behavioral data that explains them, which is unusually productive for small product teams.

Gemini Provides immense value for growth-stage teams by uniting feature flags and basic A/B testing with session replays and product analytics under a single SDK, eliminating integration overhead.

Where PostHog falls short, per the models

  • GPT Experimentation methodology, program governance, and warehouse-native analysis remain less sophisticated than the category leaders
  • Claude Both the flag governance and the experimentation stats are shallower than the specialists above — large orgs needing approval workflows or rigorous sequential testing will outgrow it.
  • Gemini The statistical engine is basic, lacking advanced experiment configuration or deep analysis tools needed by dedicated data science teams.

Poll history — On this board 7 of 7 polls since Jun 29 · #4 the last 3

#5#3#4#5#4#4#4

What changed in the models’ minds

GPTJul 14Jul 15 poll

  • Newtransparent pricing
  • Newsubstantial free tiera substantial free tier
  • Newwarehouse-native analysis
  • Droppedopen-source-capable workflowone open-source-capable workflow

GeminiJul 14Jul 15 poll

  • Newadvanced experiment configurationlacking advanced experiment configuration
  • Newdedicated data science teamsneeded by dedicated data science teams
  • Droppeddata warehouse integrations
  • Droppedpay for multiple separate SDKs

ClaudeJul 14Jul 15 poll

  • NewTransparent usage-based pricing
  • NewApproval workflows and sequential testinglarge orgs needing approval workflows or rigorous sequential testing will outgrow it
  • DroppedOpen-source suite
  • DroppedGenerous free tiera generous free tier

Top alternatives per the models: LaunchDarkly · Statsig · GrowthBook · Unleash

GPT #5Claude Gemini #5Grok #4

Single open-

GPT Exceptional practical value when product analytics is also needed: flags, events, funnels, warehouse metrics, replays, Bayesian or frequentist analysis, CUPED, and experiment diagnostics share one affordable system.

Gemini Unified open-source developer suite combining feature flags, A/B testing, session replay, and product analytics into a single developer-centric platform with transparent pricing and friction-free setup.

Where PostHog falls short, per the models

  • GPT Not yet the strongest choice for complex, high-scale experimentation programs requiring specialized designs and mature governance.
  • Gemini Statistical engine and flag targeting rules are less sophisticated than dedicated experimentation platforms, making it unsuitable for complex multivariate statistical modeling or heavy data warehouse integrations.

Poll history — On this board 2 of 2 polls since Aug 3 · now #4

#5#4

Top alternatives per the models: Statsig · LaunchDarkly · GrowthBook · Eppo

GPT Claude Gemini #3Grok

Provides a comprehensive product analytics suite with dedicated EU data residency (Frankfurt) and self-hosting options, unifying top-of-funnel web analytics with feature flags, session replays, and cohort retention for SaaS applications; assumes the business requires deep post-signup product analytics alongside web traffic.

Where PostHog falls short, per the models

  • Gemini Requires explicit cookie consent banners when enabling advanced tracking or session replays, and carries higher cost and setup complexity for simple marketing site tracking.

Poll history — On this board 1 of 2 polls since Aug 3 — off it in the latest

#6

Top alternatives per the models: Plausible · Matomo · Pirsch · Fathom

GPT Claude #5Gemini Grok

If you already self-host PostHog for product analytics, its feature flags are effectively free and uniquely powerful because targeting cohorts come straight from real behavioral analytics data, with session replay and experiments in the same tool; MIT-licensed hobby deployment via Docker Compose. Assumption: ranked for teams adopting the broader platform, not flags in isolation.

Where PostHog falls short, per the models

  • Claude Self-hosting the full PostHog stack (ClickHouse, Kafka, etc.) is heavy and officially discouraged at scale — as a standalone self-hosted flag tool it is overkill and the wrong choice.

Poll history — On this board 1 of 2 polls since Jul 18 — off it in the latest

#6

Top alternatives per the models: Unleash · Flagsmith · Flipt · GrowthBook

#7🚩 Best Feature flag platform1/4 models · updated 2026-07-19
GPT Claude #5Gemini Grok

Flags as part of an all-in-one product stack (analytics, replay, experiments, surveys) with transparent usage pricing and a huge free tier; for small teams already in PostHog, adding flags is zero-integration-cost and the combined context (flag + funnel + replay) is genuinely useful.

Where PostHog falls short, per the models

  • Claude Flags are a supporting feature, not the core product — targeting sophistication, evaluation latency guarantees, and enterprise change-management lag the dedicated platforms; weak choice if flags are your primary reliability tool.

Top alternatives per the models: LaunchDarkly · Unleash · Statsig · GrowthBook

GPT Claude Gemini Grok #5

Solid native mobile SDKs (iOS/Android/RN/Flutter) combining session replay with error tracking and analytics at transparent low cost plus open-source option; high value for teams already instrumenting events

Where PostHog falls short, per the models

  • Grok Crash diagnostics and pure replay fidelity less specialized than mobile-only tools

Poll history — On this board 1 of 2 polls since Aug 10 · now #5

#5

Top alternatives per the models: Embrace · Sentry · UXCam · LogRocket

#8📊 Best privacy-first web analytics1/4 models · updated 2026-07-10
GPT Claude Gemini #5Grok

It provides a complete, privacy-focused product analytics suite, including session replays, feature flags, and A/B testing.

Where PostHog falls short, per the models

  • Gemini Simplify its onboarding and interface specifically for users who only want simple marketing site analytics.

Poll history — On this board 1 of 4 polls since Jul 8 — off it in the latest

#6

Top alternatives per the models: Plausible · Matomo · Fathom Analytics · Simple Analytics

GPT Claude #5Gemini Grok

Open-source, self-hostable, and increasingly warehouse-friendly (data warehouse sources plus SQL access), bundling product analytics, replay, flags, and experiments — strong value for engineering-led B2B SaaS wanting to own their stack.

Where PostHog falls short, per the models

  • Claude Architecturally its own ClickHouse-based store first, warehouse-native second; querying external warehouse data is less first-class than the dedicated tools, so it's not ideal if the warehouse must remain the sole compute layer.

Poll history — On this board 1 of 2 polls since Aug 3 — off it in the latest

#8

Top alternatives per the models: Kubit · Mitzu · Optimizely Warehouse-Native Analytics · GrowthBook

GPT Claude #5Gemini Grok

Self-hostable (open-source core) with cookieless capture, session replay that masks inputs/text by default, and RUM-style Web Vitals capture, combined with product analytics — a single privacy-owned stack for teams that also want behavioral insight.

Where PostHog falls short, per the models

  • Claude Product-analytics-first; its performance/RUM signals are shallower than dedicated tools and the self-hosted deployment is resource-hungry — not for teams needing rigorous frontend performance forensics.

Top alternatives per the models: OpenReplay · Grafana Faro · Cloudflare Web Analytics · Sentry

Head-to-head — how the models call it

Watch PostHog

Boards re-poll weekly and the models change their minds. One short email only when PostHog's standing moves — a rank change, a rival overtaking, or new reasoning from the models. Nothing otherwise.

Embed your ranking badge

PostHog ranks #1 for best open-source product analytics for self-hosting by AI-model consensus. Put the badge in your README, docs or site — it updates automatically as the models re-rank.

PostHog — ranked #1 for Best open-source product analytics for self-hosting by AI models on ModelsAgree
Markdown (README)
[![PostHog — ranked #1 for Best open-source product analytics for self-hosting by AI models on ModelsAgree](https://modelsagree.com/badge/posthog.svg)](https://modelsagree.com/best/best-open-source-product-analytics-for-self-hosting?utm_source=badge&utm_medium=embed&utm_campaign=badge-posthog)
HTML
<a href="https://modelsagree.com/best/best-open-source-product-analytics-for-self-hosting?utm_source=badge&utm_medium=embed&utm_campaign=badge-posthog"><img src="https://modelsagree.com/badge/posthog.svg" alt="PostHog — ranked #1 for Best open-source product analytics for self-hosting by AI models on ModelsAgree" height="28"></a>

Rankings are computed from what the models answer, re-polled on demand · raw reasoning shown verbatim · methodology