# How to Vibe Code Your Own Amplitude (and Stop Paying for It)

> A new era for product teams

- Site: https://amplitude.com
- Category: Product Analytics
- Verdict: **Serious undertaking** (52/100 vibecodeable)
- Estimated effort: 4-6 weeks of dedicated coding and debugging

## Verdict

You can build a lightweight usage tracker and funnel dashboard with AI tools, but replicating Amplitude's behavioral graph engine and petabyte-scale columnar database is a massive engineering undertaking.

Trying to build a true drop-in clone of Amplitude is a multi-year engineering rabbit hole due to the sheer complexity of columnar event indexing, real-time funnel calculations over millions of rows, and SDK maintenance across platforms. However, a solo developer using AI coding agents can spin up a functional personal analytics tool using a columnar database like ClickHouse or Postgres with a Next.js frontend, provided you dramatically scope down the telemetry volume and analytical queries.

### What you can't replicate

- Proprietary NOVA behavioral graph custom database architecture
- Enterprise compliance certifications and global data governance pipelines
- Massive pre-built SDK ecosystem across every mobile and desktop language

## What it does

Enterprise-grade digital and product analytics platform that tracks user behavior, analyzes user journeys, builds retention cohorts, and provides session replay and AI insights.

### Core features

- Event ingestion pipeline for client-side telemetry
- Behavioral event storage and columnar indexing
- Event funnel and conversion rate calculation
- User retention curve generation
- User segmentation and behavioral cohorting
- Self-serve analytics dashboard visualization
- Model Context Protocol (MCP) server integration for AI code editors

## The business

### Pricing

- Free: $0
- Plus: $0+
- Growth: Custom
- Enterprise: Custom

### Funding

$336M raised.
- Series B ($15M, 2014)
- Series C ($30M, 2016)
- Series E ($50M, 2020)
- Series F / Growth ($150M)
Investors: Sequoia Capital, GIC, IVP, Battery Ventures, Benchmark Capital, Y Combinator

Founded 2012.
Team size: 800-900.

## The hard parts

- High-throughput event ingestion handling concurrent writes without locking
- Fast columnar aggregation over millions of telemetry event rows
- Dynamic multi-step funnel path computations in real time
- Model Context Protocol schema mapping and token-safe tool querying

## How to vibe code Amplitude

### Prerequisites

- Node.js (free): Runtime for running the Next.js frontend and TypeScript backend services.
- GitHub (free): Version control and repository hosting for your codebase.

### Recommended AI tools

- Claude Code: Best-in-class terminal coding agent for scaffolding multi-file apps and debugging data ingestion loops.
- Cursor: AI-native code editor ideal for iterating on dashboard visualizations and chart components.

### Stack

- Frontend: Next.js with Tailwind CSS and Recharts
- Backend: Next.js API routes with TypeScript
- Database: ClickHouse Cloud or Neon Postgres
- Auth: better-auth
- Payments: None (personal clone)
- Other: Model Context Protocol (MCP) TypeScript SDK for AI editor integration

### Hosting

- Vercel (Hosting the Next.js analytics dashboard and API ingestion endpoints): $0-20/mo
- ClickHouse (High-performance columnar event telemetry storage): $0-25/mo

### Build guide

1. **Scaffold Next.js App & Database Schema** — Initialize the Next.js project with Tailwind CSS, configure better-auth for single-user dashboard access, and connect to ClickHouse or Neon Postgres to define the core events table.

```
Create a new Next.js 16 project with TypeScript and Tailwind CSS v4. Install better-auth for authentication and configure a connection client to ClickHouse Cloud or Neon Postgres. Write a database migration script that creates an `events` table with fields: id (UUID), event_type (String), user_id (String), session_id (String), timestamp (DateTime), and properties (JSON/Map). Ensure indexes are created on timestamp, event_type, and user_id for fast range queries.
```

2. **Build Event Ingestion API Endpoint** — Develop a high-throughput public ingestion HTTP endpoint that receives incoming telemetry payloads from client apps, validates event schemas, and batches inserts into the database.

```
Implement a high-performance POST API route at `/api/v1/track` in Next.js that accepts telemetry batches. Validate incoming payloads using Zod (expecting apiKey, eventType, userId, timestamp, and event properties). Handle CORS appropriately so web apps can send tracking data cross-origin. Batch insert valid records into the ClickHouse/Postgres events table efficiently with robust error handling and rate limiting.
```

3. **Implement Funnel Analysis Engine** — Write analytical SQL query builders that compute multi-step conversion funnels over chronological event sequences for specified user cohorts.

```
Create a backend analytical query service that calculates a multi-step conversion funnel. Given an ordered list of step event names and a date range, write a SQL aggregation query that counts unique users progressing sequentially through step A -> step B -> step C within a sliding time window. Expose this via a GET endpoint at `/api/analytics/funnel` returning conversion percentages per step.
```

4. **Implement Retention Cohort Engine** — Build backend logic and database queries to compute N-day user retention cohorts based on initial activation events and returning actions.

```
Write a retention calculation module in TypeScript using SQL window functions or aggregations. The engine should group users by their first-seen activation date (Day 0 cohort) and calculate the percentage of those users who return to trigger any tracked event on Days 1, 3, 7, 14, and 30. Expose this via `/api/analytics/retention` and format the output for cohort matrix heatmaps.
```

5. **Build Dashboard UI with Recharts** — Construct an interactive analytics dashboard with charts for event volume over time, conversion funnels, and retention matrices.

```
Build a responsive analytics dashboard UI using React, Tailwind CSS, and Recharts. Include a sidebar navigation for 'Overview', 'Funnels', and 'Retention'. Create interactive chart components that fetch data from `/api/analytics/*` endpoints with date range pickers, step reordering drag-and-drop for funnels, and a color-coded retention matrix grid.
```

6. **Implement Model Context Protocol (MCP) Server** — Expose an MCP server interface that allows local AI coding assistants like Claude Code or Cursor to query product analytics data conversationally.

```
Build an MCP (Model Context Protocol) server module in TypeScript that registers custom tools for querying your analytics backend. Implement tools such as `get_event_counts`, `query_funnel`, and `get_retention_summary`. Secure the MCP transport layer so that local AI coding agents running in Claude Code or Cursor can securely fetch product telemetry data when prompted.
```

### Cost vs paying

**Starting costs (one-time):**

- AI Coding Subscriptions: $20
- Total: ~$20 one-time

**Ongoing costs (monthly):**

- Vercel Hosting & ClickHouse Cloud: $0 - $25/mo
- Total: ~$10-25/mo

- Paying for the SaaS instead: $0 - Custom (Plus/Growth)
- Build time: 30-50 hours
- AI tool credits: $20 (Claude Pro / Cursor)
- Break-even: N/A (Built for personal analytics and learning)

## Sources

- [Amplitude Official Website & Scraped Pricing Data](https://amplitude.com)
- [Wikipedia - Amplitude, Inc.](https://en.wikipedia.org/wiki/Amplitude_(company))