PostHog posthog.com

Can AI replace PostHog?

Q: Can AI replace PostHog?

Nah. 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.

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.

Verdict: Nah · Keep paying, or use a free alternativeBuild time: closest consolation build: one sitting

Nah

01What it costs

Price variesUsage based, usage-based

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.

05The build prompt

Paste this into an AI coding tool (such as Claude, ChatGPT, Lovable or Replit) to build your own version. Read the verdict first: this one is hard to get right.

prompt.txt

Build me a self-hosted web analytics box to replace PostHog. Requirements:

- One Node 22 + Express process with better-sqlite3, serving the collector and the
  dashboard on port 8787. No frontend framework, no build step, no Docker.
- A tracker.js I paste on my sites: pageviews on load and history change, plus
  window.track('signup', { plan: 'pro' }), POSTed to /e on my own domain so
  collection stays first-party.
- One SQLite events table: site, event, path, referrer, UTM fields, country from the
  proxy header, device class, and a JSON properties blob.
- Count visitors by a daily-rotating salted hash of IP plus user agent, salt in .env.
  No cookie, never the raw IP. That is the whole privacy design, keep it.
- Dashboard at / with a date range picker: visitors and pageviews by day, top pages,
  referrers, countries, any event split by one property, and a three-step funnel.
- Nightly rollup into a daily-summary table, raw events pruned past the retention
  window in .env, /export.csv for the raw rows.
- Basic auth on the dashboard, collector open. No accounts, no telemetry, my box
  holds the only copy.
- Out of scope: session replay, feature flags, and stitching one person across
  devices. Do not build a plugin system or a warehouse connector.
- README: the snippet to paste, where the SQLite file lives, and how to back it up.

06Open-source starting points

Umami: Popular open-source privacy-focused web analytics platform.

Sponsor slot · openFeatured alternative to PostHog. A labeled card for one relevant tool.

Book this spot →

App prices, verdicts, alternatives and build prompts are adapted from Can I Vibecode It? (MIT License, © 2026 Rob Hallam). Each price shows the date it was checked and its source. Prices change; confirm on the vendor's site before you decide.

01What it costs

02Could AI build it for you?

03What you'd give up

05The build prompt

06Open-source starting points

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