Can AI replace FullStory?

NOT REALLY · don't bother

price variesbuild time closest consolation build: one sittingcategory 📊 analyticsreplaced by 0 peoplebuild unverified

A consolation build is possible, but the paid product's decisive value sits outside a solo rebuild. For FullStory, collect explicit product events and targeted debug snapshots with strong privacy controls. The hard boundary is high-fidelity replay, privacy redaction, indexing, search, storage, and compliance, plus data pipeline reliability and analytical depth.

the prompt

Build a closest honest personal substitute for FullStory in an empty repository.
Use Next.js 15, TypeScript, ClickHouse, PostgreSQL, and Docker Compose; do not offer alternative stacks.
The core loop is: collect explicit first-party product events and targeted debug snapshots with strong privacy controls, answer a small set of product questions, and retain raw data under the owner's control.
Make the first run work locally with one documented command.
Store all user data locally by default and make export straightforward.
Put secrets in .env, ship .env.example, and never commit credentials.
Ship a lightweight browser SDK for page views and explicit custom events.
Create projects, API keys, environments, event names, and a documented event schema.
Ingest idempotently, filter obvious bots, truncate IP data, and avoid fingerprinting.
Build dashboards for visitors, sessions, funnels, retention, sources, pages, and events.
Expose filters by date, environment, device, country, referrer, and selected properties.
Add retention controls, raw-event export, deletion, health checks, and backup instructions.
Include clear empty, loading, success, and recoverable error states.
Add input validation, safe filenames, and graceful handling of unavailable APIs.
Write focused tests for the core transformation and one end-to-end happy path.
Create a README with setup, architecture, permissions, data location, and backup steps.
Do not add accounts, billing, telemetry, analytics, or a hosted control plane.
Do not claim to reproduce proprietary data, network liquidity, regulated access, or frontier infrastructure.
Deliberately leave out cross-site identity graphs.
Deliberately leave out session replay and automatic DOM capture.
Deliberately leave out warehouse-scale reverse ETL and enterprise governance.
Finish by running the tests and listing the exact commands used.

$ open in your agent (prompt prefilled, you press enter) or copy it raw · this prompt is generated from the build plan · improve it via PR

why people still pay

People still pay for FullStory because teams pay because analytics must keep collecting and remain trustworthy while the product changes underneath it. The recurring cost buys event schemas, bot filtering, identity, late data, retention, query cost, privacy, backups, and always-on ingestion, not just the visible interface.

what you lose

xhigh-fidelity replay, privacy redaction, indexing, search, storage, and compliance

xidentity stitching

xsession replay

xwarehouse connectors

xhigh-volume global ingestion and support

prior art · use these instead of building, if you'd ratherUmamiPopular open-source privacy-focused web analytics platform.↗