Fathom Analytics
Privacy-focused website analytics with simple dashboards
A simple privacy analytics clone is very buildable; the paid service is hosted compliance posture, uptime, data retention, and polished reporting.
Build verification: not recorded. How we judge buildability
What you give up
- managed infrastructure
- privacy/compliance messaging
- email reports
- uptime
- support
- billing
Why people still pay
They pay to avoid maintaining analytics infrastructure and privacy copy themselves.
Your build guide
The stack, security requirements, and agent rules for a focused replacement.
Before you start
- A supported Node release, PostgreSQL, HTTPS for a shared deployment, and a backup destination. Begin with one workspace and explicit owner/member permissions.
- Implementation components: Next.js App Router and TypeScript for server-rendered pages and validated mutations. PostgreSQL with Drizzle migrations; Better Auth sessions for a small private workspace.
- Scope boundary: managed infrastructure; privacy/compliance messaging
Use these project rules and optional skill references alongside the prompt. Review each skill before adding it to your agent; the AGENTS.md export includes the same guidance.
Optional external skill: vercel-react-best-practices — Improve React and Next.js data fetching, rendering, bundle size and server performance. Review its instructions and compatibility before use; it does not grant deployment, data-access or publication permission.
Optional external skill: supabase-postgres-best-practices — Review PostgreSQL schemas, queries, indexes, pooling, concurrency and row-level security. Review its instructions and compatibility before use; it does not grant deployment, data-access or publication permission.
Optional external skill: web-design-guidelines — Review web interfaces for accessibility, keyboard focus, forms, navigation and interaction quality. Review its instructions and compatibility before use; it does not grant deployment, data-access or publication permission.
Project rule — data model: registered sites, bounded events, route/referrer dimensions, goals and hourly aggregation windows
Project rule — preserve this invariant: Cookie-free does not automatically mean anonymous or legally compliant; never store full query strings or persistent visitor fingerprints by default.
Project rule — acceptance evidence: A replayed event ID is counted once; an event arriving after an aggregation pass is reflected in a corrected report with its original time window.
Implementation plan
Phase 1
Scope and fixtures. Implement this bounded workflow: Collect a deliberately small first-party event payload and show page, referrer and goal reports for one site. Separate event-time and ingestion-time windows and expose retention and bot-filter assumptions. Record prerequisites, select representative user-owned fixtures and document the unsupported features: managed infrastructure; privacy/compliance messaging
Phase 2
Durable model. Model registered sites, bounded events, route/referrer dimensions, goals and hourly aggregation windows Add migrations or a versioned document format, explicit validation, stable IDs and a visible import-error report. Preserve this rule: Cookie-free does not automatically mean anonymous or legally compliant; never store full query strings or persistent visitor fingerprints by default.
Phase 3
Complete the first useful path. Implement the workflow's input, review and output interface, with clear controls and explicit empty/error states. Commit related database changes in one transaction. Use version checks for competing edits and an outbox for external notifications; retry delivery independently of saving the record.
Phase 4
Permissions and integration failure. Authorize every record read and mutation on the server using its workspace membership; validate payloads, protect mutations against CSRF, and escape user-authored HTML. Request integration credentials and permissions only for the enabled feature; show a disconnected state instead of mock results.
Phase 5
Portable handoff. Export versioned JSON plus attachments and a readable CSV summary. Restore into a separate database and compare record IDs and attachment checksums before switching. Include setup, operating limits, fixture walkthrough and shutdown/restart instructions in the README.
Phase 6
Acceptance scenarios. A replayed event ID is counted once; an event arriving after an aggregation pass is reflected in a corrected report with its original time window. Repeat the workflow after restart and with a denied permission or unavailable dependency; show recoverable failure rather than a success placeholder.
WORKING SLICE Collect a deliberately small first-party event payload and show page, referrer and goal reports for one site. Separate event-time and ingestion-time windows and expose retention and bot-filter assumptions. Build this scoped Fathom Analytics-inspired workflow with a documented data model and visible failure states. Architecture - Next.js App Router and TypeScript for server-rendered pages and validated mutations. - PostgreSQL with Drizzle migrations; Better Auth sessions for a small private workspace. Prerequisites and limits A supported Node release, PostgreSQL, HTTPS for a shared deployment, and a backup destination. Begin with one workspace and explicit owner/member permissions. Outside this release: managed infrastructure; privacy/compliance messaging Data model and correctness registered sites, bounded events, route/referrer dimensions, goals and hourly aggregation windows Invariant: Cookie-free does not automatically mean anonymous or legally compliant; never store full query strings or persistent visitor fingerprints by default. Commit related database changes in one transaction. Use version checks for competing edits and an outbox for external notifications; retry delivery independently of saving the record. Security and privacy Authorize every record read and mutation on the server using its workspace membership; validate payloads, protect mutations against CSRF, and escape user-authored HTML. Recovery and export Export versioned JSON plus attachments and a readable CSV summary. Restore into a separate database and compare record IDs and attachment checksums before switching. Implementation order 1. Phase 1 — Scope and fixtures. Implement this bounded workflow: Collect a deliberately small first-party event payload and show page, referrer and goal reports for one site. Separate event-time and ingestion-time windows and expose retention and bot-filter assumptions. Record prerequisites, select representative user-owned fixtures and document the unsupported features: managed infrastructure; privacy/compliance messaging 2. Phase 2 — Durable model. Model registered sites, bounded events, route/referrer dimensions, goals and hourly aggregation windows Add migrations or a versioned document format, explicit validation, stable IDs and a visible import-error report. Preserve this rule: Cookie-free does not automatically mean anonymous or legally compliant; never store full query strings or persistent visitor fingerprints by default. 3. Phase 3 — Complete the first useful path. Implement the workflow's input, review and output interface, with clear controls and explicit empty/error states. Commit related database changes in one transaction. Use version checks for competing edits and an outbox for external notifications; retry delivery independently of saving the record. 4. Phase 4 — Permissions and integration failure. Authorize every record read and mutation on the server using its workspace membership; validate payloads, protect mutations against CSRF, and escape user-authored HTML. Request integration credentials and permissions only for the enabled feature; show a disconnected state instead of mock results. 5. Phase 5 — Portable handoff. Export versioned JSON plus attachments and a readable CSV summary. Restore into a separate database and compare record IDs and attachment checksums before switching. Include setup, operating limits, fixture walkthrough and shutdown/restart instructions in the README. 6. Phase 6 — Acceptance scenarios. A replayed event ID is counted once; an event arriving after an aggregation pass is reflected in a corrected report with its original time window. Repeat the workflow after restart and with a denied permission or unavailable dependency; show recoverable failure rather than a success placeholder. Acceptance A replayed event ID is counted once; an event arriving after an aggregation pass is reflected in a corrected report with its original time window. Use real source data or clearly labeled fixtures. Explain unsupported input and provider failures; do not fabricate analytics, delivery receipts, accuracy claims or security guarantees. Optional agent guidance Optional external skill: [vercel-react-best-practices](https://github.com/vercel-labs/agent-skills/blob/main/skills/react-best-practices/SKILL.md) — Improve React and Next.js data fetching, rendering, bundle size and server performance. Review its instructions and compatibility before use; it does not grant deployment, data-access or publication permission. Optional external skill: [supabase-postgres-best-practices](https://github.com/supabase/agent-skills/blob/main/skills/supabase-postgres-best-practices/SKILL.md) — Review PostgreSQL schemas, queries, indexes, pooling, concurrency and row-level security. Review its instructions and compatibility before use; it does not grant deployment, data-access or publication permission. Optional external skill: [web-design-guidelines](https://github.com/vercel-labs/agent-skills/blob/main/skills/web-design-guidelines/SKILL.md) — Review web interfaces for accessibility, keyboard focus, forms, navigation and interaction quality. Review its instructions and compatibility before use; it does not grant deployment, data-access or publication permission. Project rule — data model: registered sites, bounded events, route/referrer dimensions, goals and hourly aggregation windows Project rule — preserve this invariant: Cookie-free does not automatically mean anonymous or legally compliant; never store full query strings or persistent visitor fingerprints by default. Project rule — acceptance evidence: A replayed event ID is counted once; an event arriving after an aggregation pass is reflected in a corrected report with its original time window.
$ open in your agent (prompt prefilled, you press enter), copy the prompt or copy or download AGENTS.md
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Alternatives to building your own
all 3 free alternatives to Fathom Analytics →· no votes, no pay-to-list · just what's real
Fathom Analytics pricing
| plan | monthly | annual (per mo) | what you get |
|---|---|---|---|
| 100k pageviews | $15/workspace | $12.50/workspace | Up to 100,000 monthly pageviews; up to 50 sites includedAnnual total is $150; custom events and API requests count as pageviews. |
| 200k pageviews | $25/workspace | $20.83/workspace | Up to 200,000 monthly pageviews; up to 50 sites includedAnnual total is $250; custom events and API requests count as pageviews. |
| 500k pageviews | $45/workspace | $37.50/workspace | Up to 500,000 monthly pageviews; up to 50 sites includedAnnual total is $450; custom events and API requests count as pageviews. |
| 1m pageviews | $60/workspace | $50/workspace | Up to 1,000,000 monthly pageviews; up to 50 sites includedAnnual total is $600; custom events and API requests count as pageviews. |
| 2m pageviews | $100/workspace | $83.33/workspace | Up to 2,000,000 monthly pageviews; up to 50 sites includedAnnual total is $1,000; custom events and API requests count as pageviews. |
| 5m pageviews | $140/workspace | $116.67/workspace | Up to 5,000,000 monthly pageviews; up to 50 sites includedAnnual total is $1,400; custom events and API requests count as pageviews. |
| 10m pageviews | $200/workspace | $166.67/workspace | Up to 10,000,000 monthly pageviews; up to 50 sites includedAnnual total is $2,000; custom events and API requests count as pageviews. |
| 15m pageviews | $290/workspace | $241.67/workspace | Up to 15,000,000 monthly pageviews; up to 50 sites includedAnnual total is $2,900; custom events and API requests count as pageviews. |
| 20m pageviews | $380/workspace | $316.67/workspace | Up to 20,000,000 monthly pageviews; up to 50 sites includedAnnual total is $3,800; custom events and API requests count as pageviews. |
| 25m pageviews | $470/workspace | $391.67/workspace | Up to 25,000,000 monthly pageviews; up to 50 sites includedAnnual total is $4,700; custom events and API requests count as pageviews. |
free tierno free tier
billingmonthly + annual (2 months free); 7-day trial; auto-renews until canceled
hidden costsCustom events and API calls count toward pageviews; extra sites cost an additional unpublished fee. Two consecutive months over the limit trigger an offered upgrade rather than immediate throttling.
pricing sources checked 2026-08-12 · pricing source ↗
Questions about Fathom Analytics
Can you build your own Fathom Analytics with AI?
The verdict is yes for the scoped workflow. A simple privacy analytics clone is very buildable; the paid service is hosted compliance posture, uptime, data retention, and polished reporting.
What does the Fathom Analytics build prompt cover?
The prompt starts with this scope: Collect a deliberately small first-party event payload and show page, referrer and goal reports for one site. Separate event-time and ingestion-time windows and expose retention and bot-filter assumptions. Full-product capabilities excluded from the comparison include: managed infrastructure; privacy/compliance messaging; email reports. Follow the implementation plan and its prerequisites before expanding the build.
How do I use the prompt, AGENTS.md and agent skills?
Start with the Fathom Analytics prerequisites and stack, then copy the prompt into your coding agent. Save the project rules as AGENTS.md in the project root. Linked skills are optional packages or source instructions for specific tasks; review their current contents and install only those matching the chosen stack. A skill does not supply API credentials or verify the finished app.
How long will this Fathom Analytics project take?
The catalogue estimate is weekend for the limited scope. Setup, integration approvals, debugging, deployment and ongoing maintenance can add time. This is an estimate, not a delivery guarantee.
What would I give up by replacing Fathom Analytics?
managed infrastructure; privacy/compliance messaging; email reports; uptime; support; billing. They pay to avoid maintaining analytics infrastructure and privacy copy themselves.
What price is this guide comparing against?
The recorded Standard plan is $15/mo (monthly), checked 2026-07-30. Check the linked pricing source before buying. Building your own also has hosting, API and maintenance costs; the recorded amount is not a guaranteed saving.
What can I use instead of building Fathom Analytics?
Umami: Simple privacy analytics with enough events and goals to avoid paying for simplicity. Plausible Community Edition: The closest philosophical match, except you operate the Compose file. GoatCounter: A smaller privacy dashboard for people who truly meant simple. Compare all listed options at https://howtovibecodeit.dev/fathom-analytics/alternatives. Check each option's license, hosting needs and feature limits.