Can AI replace PostHog?
First-party collection and a dashboard that answers your top five questions is one sitting of work, and PostHog's free tier covers a million events a month before you pay anything. What the bill buys past that is the rest of the platform: session replay, feature flags, SQL over years of events, and ingestion that stays correct while your event schema drifts underneath it.
01What it costs
Checked Aug 12, 2026 · source: posthog.com.
| Plan | Monthly | Billed yearly | What you get |
|---|---|---|---|
| Free | Free | Free | 1 project, 1-year retention, unlimited team members; monthly product allowances include 1M analytics events, 5,000 session recordings, 1M feature-flag requests, 100,000 exceptions, 1,500 survey responses, 1M warehouse rows, 10,000 pipeline trigger events plus 1M batch rows, 100,000 AI-observability events, 500 AI credits, 3 PRs, 10,000 workflow messages/channel, 10GB logs, and 2,500 Replay Vision credits |
| Pay-as-you-go | Free | — | Starts at $0 while under the same monthly free allowances; 6 projects, 7-year retention, unlimited team members and tracked users |
| Boost platform package | $250 | — | Adds platform-level controls and support features to the separately metered PostHog products |
| Scale platform package | $750 | — | Higher platform-level controls and support package; product usage remains separately metered |
| Enterprise platform package | — | — | Custom platform controls, support and commercial terms; all product usage remains separately priced |
Hidden costs: Every product meters separately after its free allowance: analytics from $0.00005/anonymous event or $0.000248/identified event, replay from $0.005/recording, flags from $0.0001/request, surveys from $0.10/response, warehouse rows from $0.000015, pipelines from $0.0005/trigger event, exceptions from $0.00037, AI from $0.01/credit, logs from $0.25/GB, workflows from $0.003/email, Inbox at $15/PR, and Replay Vision at $0.01/credit; optional Boost/Scale packages add $250/$750 per month.
02Could AI build it for you?
The core job: Collect first-party pageviews and custom events from your own sites, keep the raw rows yourself, and answer a handful of product questions from a local dashboard.
What a working version needs:
- Node 22
- a small always-on VPS
- a domain you control, for first-party collection
The charts are the easy part. A pipeline that never quietly stops collecting is the product, and that is the part you inherit when you self-host.
03What you'd give up
- session replay
- feature flags and experiments
- identity stitching across devices
- SQL over years of events
- ingestion that stays up without you watching it
Teams pay because analytics has to keep collecting and stay trustworthy while the product changes underneath it. The bill buys bot filtering, identity resolution, late-arriving data, retention, query cost, and someone else getting paged when ingestion stops. The charts are the cheap part.
04The build prompt
Read the verdict first: this one is hard to get right.
The complete build prompt, plus 11 step-by-step prompts from research to launch, a design system file, a page-by-page spec, the data model and a launch checklist.
Get the Build Kit · $9 →One-time payment. Delivered on screen and by email.
05Free open-source starting points
- Umami: Popular open-source privacy-focused web analytics platform.
Prices change; confirm on the vendor's site before you decide.
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