Series

Claude Code Conversation Analytics Platform

A comprehensive 7-part series on building a real-time data pipeline to capture, sync, and analyze Claude Code conversation logs using TypeScript, Python, dbt, and Metabase.

7 of 7 articles 70 min total

Building a Real-Time Claude AI Conversation Analytics Platform: Architecture Overview

How to capture, sync, and analyze AI coding assistant conversations with a modern TypeScript + Python data stack

Dec 27, 2025 · 10 min read

# data-engineering # typescript # mongodb

Building a Robust File-to-MongoDB Sync Service in TypeScript

How to build a crash-resistant data pipeline that never loses a line

Dec 28, 2025 · 10 min read

# typescript # mongodb # nodejs

Building a Conversation Log Browser with Next.js and shadcn/ui

How to create a modern, responsive UI for browsing AI conversation logs stored in MongoDB

Dec 29, 2025 · 7 min read

# nextjs # typescript # mongodb

Designing a Modern Analytics Platform with Python, dbt, and Metabase

This is Article 4 of a 7-part series on building a real-time data pipeline for Claude Code conversation logs.

Dec 30, 2025 · 12 min read

# data-engineering # python # dbt

Building an ETL Pipeline with Python, Prefect, and DuckDB

A deep dive into production-ready data extraction, loading, and orchestration

Dec 31, 2025 · 7 min read

# python # etl # data-engineering

Data Transformation with dbt: From Raw Logs to Business Intelligence

Transform messy conversation logs into a polished analytics warehouse using dbt's medallion architecture pattern

Jan 1, 2026 · 11 min read

# dbt # data-engineering # analytics

Building Self-Service Analytics Dashboards with Metabase

The Final Chapter: Turning Your Data Warehouse into Actionable Insights

Jan 2, 2026 · 13 min read

# metabase # duckdb # data-analytics