Open-source analytics, session replay, feature flags — all in one
PostHog is the best all-in-one analytics platform for early-stage Indian startups — generous free tier (1M events/month), open-source so you can self-host for full data sovereignty, and it bundles analytics, session replay, feature flags, and A/B testing that would cost ₹50,000+/month across separate tools. If you're pre-Series A or privacy-conscious, PostHog should be your default starting point before considering Mixpanel or Amplitude.
PostHog is an open-source product analytics platform founded in 2020. Unlike Mixpanel or Amplitude which are pure SaaS, PostHog can be self-hosted on your own infrastructure — meaning your user data never leaves your servers. This is a significant advantage for Indian fintech, healthtech, and insurtech companies with data localisation requirements.
What makes PostHog remarkable is the breadth of what's included in one platform: product analytics (funnels, retention, cohorts), session recording, heatmaps, feature flags, A/B experiments, and a data warehouse connector. Competing tools charge separately for each — Mixpanel + Hotjar + LaunchDarkly would cost ₹60,000–2,00,000/month at Series A scale. PostHog's free tier covers all of this up to 1 million events per month.
The tradeoff: PostHog's analytics depth (especially retention and cohort analysis) is still slightly behind Mixpanel for very complex queries. But for 90% of what early-stage Indian product teams need, it's more than sufficient.
Funnels, retention curves, user paths, cohort analysis, and custom dashboards. Covers the core analytics needs of most Indian product teams without paying anything until you scale past 1M events/month.
Watch real user sessions with console logs and network activity. Filter recordings by user property, event, or funnel step. Essential for debugging drop-offs that analytics numbers can't explain.
Roll out features to specific user segments or percentages. Instant kill switch if something breaks. Free, unlimited flags. For Indian teams without a separate LaunchDarkly subscription, this alone justifies PostHog.
Run experiments connected directly to your analytics data — no data export needed to see results. Statistical significance calculated automatically. Up to 5 experiments free on the cloud plan.
| Factor | PostHog | Mixpanel |
|---|---|---|
| Free tier | 1M events/mo free forever | 20M events/mo (but no session replay) |
| Session recording | Included free | Not available (need Hotjar/Clarity) |
| Feature flags | Included free | Not available |
| A/B testing | Included (5 free) | Not available |
| Analytics depth | Good | Best-in-class funnels |
| Self-hosting option | Yes — full data control | No |
| Data localisation | Complete (self-hosted) | No |
| Indian team adoption | Growing fast | Very high (established) |
PostHog Cloud is generous by design — the founders explicitly want it to be free for early-stage teams. Pricing kicks in at scale.
1M events/month, 5K session recordings, unlimited feature flags, 5 A/B experiments. Resets monthly. No credit card needed. This is genuinely sufficient for Indian startups up to ~50K MAU.
$0.00031 per event above 1M. Usage-based, no seat fees. At 10M events/month, you pay ~₹3,780. Far cheaper than Mixpanel Growth at equivalent scale for most Indian teams.
Deploy on your own servers. No event limits, no data leaving India. Engineering cost to maintain (~4–8 hrs/month for a dedicated DevOps person). Best for data-sensitive Indian fintechs.
💡 GST note: PostHog Cloud is US-based SaaS — 18% GST applies under reverse charge on paid plans. Self-hosted has no recurring cost beyond your own infrastructure (typically ₹3,000–8,000/month on a single DigitalOcean droplet for smaller teams).
Better analytics depth, especially for complex funnels and retention. No session replay. More expensive at scale. Standard choice for Series A+ Indian apps.
Best built-in experimentation platform. More expensive. Preferred by data-mature Series B+ teams running frequent A/B tests.
Free session replay and heatmaps only. No product analytics. Good companion to PostHog if you want deeper session recording without paying more.
signup_completed, onboarding_step_1, first_value_action, feature_used, payment_initiated. Implement these in your first week. Retrofitting event schemas months later is painful.if (process.env.FEATURE_X) flags in your codebase with PostHog feature flags. This gives you instant kill switches and the ability to do percentage rollouts without a code deploy.We help Indian product teams pick the right analytics stack — without overpaying for tools you don't need yet.
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