[verdict][generated prompt][source: smartlook.com]
Can I vibecode Smartlook?
// the value is the network, the data or the infrastructure
Do not mistake the interface for the product. Smartlook's durable value is ingestion, storage, reliability, which a solo one-shot build cannot reproduce responsibly. The prompt therefore builds only the closest honest personal consolation tool.
confidence: medium
what it is: Session recordings, heatmaps, events, funnels, and mobile analytics
Buildability index · an editorial game
- Price usage-based weight: zero
- Time not a true replacement; consolation build in one to two days weight: minus 1
- Category analytics no weight
- Moat infrastructure scale · execution quality weight: minus 3
- Confidence medium weight: zero
- What you lose 4 items weight: minus 2
- Site smartlook.com (si apre in una nuova scheda) no weight
It is not close. The prompt below rebuilds a piece, not the product.
Gioco editoriale: il verdetto dice se un agente può, l’indice se conviene.
What you build
Build a narrow behavior analytics collector for one site or app, ingest first-party events, and show a small set of decision-ready reports.
what you need
- deploy target
- ClickHouse or SQLite for low volume
- first-party tracking script
- Explicit README warning that this is a consolation build, not a production replacement
Credibility row: Smartlook survives for a structural reason, not because its interface is difficult to copy.
The prompt
The verdict is NOT REALLY, and the prompt stays anyway: it does not replace the app, it rebuilds the part that really is code. The rest is the moat.
Build the closest honest consolation tool inspired by Smartlook; do not claim to replace its structural moat.
Use exactly this stack: Next.js 15 + TypeScript + ClickHouse + PostgreSQL.
Primary job: Build a narrow behavior analytics collector for one site or app, ingest first-party events, and show a small set of decision-ready reports.
Start from an empty folder and create the complete working project.
Make the default mode single-user and private.
Store user data locally unless the core job requires the declared self-hosted database.
Do not add analytics, telemetry, ads, or third-party accounts.
Put every secret and external credential in .env and provide .env.example.
Use realistic sample data that is clearly labelled and easy to delete.
Implement the smallest polished interface that completes the core loop end to end.
Include clear empty, loading, validation, success, and failure states.
Add import and export so the user is not trapped in the app.
Use accessible keyboard navigation, labels, focus states, and sensible contrast.
Validate untrusted input and never log secrets or private file contents.
Deliberately exclude these paid-product advantages: high-volume ingestion and retention; bot and identity resolution; session replay privacy tooling.
Do not fake integrations, network effects, proprietary data, model quality, compliance, or security claims.
Where an external API is optional, keep the app useful without it and explain the degraded mode.
Write focused unit tests for the data model and the most important workflow.
Add one end-to-end smoke test that proves the core loop works.
Create a README with setup, permissions, architecture, data location, backup, and limitations.
Add scripts for install, development, test, build, and a production-style local run.
Run the tests and build before finishing, then fix errors rather than merely describing them. Prompt generated from the data on this page, not reviewed by hand yet. In English on purpose — it is the language coding agents work best in.
What you lose
- high-volume ingestion and retention
- bot and identity resolution
- session replay privacy tooling
- enterprise governance and integrations
Why people still pay
Smartlook: Customers pay for trusted numbers, retention, privacy controls, and a pipeline that remains accurate while traffic and schemas change.
moat: Infrastructure scale Execution quality what a moat is
ingestion/storage/reliability
Free alternatives
Not in the mood to build it? These already exist, they are free or open source, and we checked them one by one.
Who has already built it
Starting from here is still vibecoding: the prompt is for when you want it exactly your way.
- PostHog (opens in a new tab) — Open-source product analytics, feature flags, and session replay.
Do you agree?
The vote balance
Ancora nessun voto: il tuo è il primo.
Nessun voto ancora — il primo pesa.