They all write, store and read data: how to pick the right database ·
SQLite, Postgres, DuckDB and 20 others: they all write, store and read data. The questions you ask every day tell you which one you need.
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5G, full bars, nothing loads: Or how I learned to start learning with LLMs ·
A crowded station, a useless 5G signal, and a love for rabbit holes. LLMs offer a unparalleled opportunity to learn new things immediately and in ways that match your preferred learning style.
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AI Agent Analytics with Vercel & MotherDuck ·
Track AI agent traffic that bypasses your web analytics. Stream Vercel Log Drains into MotherDuck to see how ChatGPT, Claude, and other agents browse your site.
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MotherDuck on Cloudflare Workers: real-time apps at the edge ·
Build a real-time voting app on Cloudflare Workers that queries MotherDuck through the Postgres endpoint, using Durable Objects for live state and the pg package for analytical workloads.
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You're right to be anxious about AI: This is how much we are building ·
Measuring the rate of software output growth in the AI era, across Show HN, GitHub, package registries, and research.
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Microbatch: how to supercharge dbt-duckdb with the right incremental model ·
Learn when and how to use dbt's microbatch incremental strategy with DuckDB. Covers row groups vs partitions, benchmarks comparing full refresh, merge, delete+insert, and microbatch strategies, plus configuration tips and common pitfalls.
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LLMs Are Cheap Enough to Change How You Work With Data ·
I processed 60,000 job postings with an LLM for $10. That's not a typo. This post walks through how to use OpenAI's Batch API for bulk document processing: building JSONL request files, orchestrating without losing your mind, controlling costs with token limits, and tracking batch state in a database. When AI becomes this cheap, it changes what's possible.
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DuckDB is my new Excel ·
I'll admit it: as a data engineer I still use Excel. But DuckDB has become my secret weapon for ad-hoc data exploration. No more struggling with CSV imports, no more manual column matching across files, no more giving up on JSON. This guide shows you how to query remote CSVs, handle schema drift across multiple files, unnest nested data, and flatten JSON APIs—all with SQL you can remember if you can remember Excel formulas.
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Turn Thousands of Messy JSON Files into One Parquet: DuckDB for Fast Data Warehouse Ingestion ·
If you've inherited a bucket full of thousands of tiny JSON files—one per API call, one per event, one per log minute—you know the pain: slow scans, schema anxiety, and rising warehouse bills. This guide shows you how to consolidate them into clean Parquet with DuckDB: handling schema drift, maintaining lineage, optimizing performance, and integrating with dbt. Touch your raw files once, then model against something stable.
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LLM Personas with Faitch: An AI-Powered Fetch for Content Analysis and making your life bearable ·
I got tired of copy-pasting articles into ChatGPT for summaries—and even more tired of the bland results. So I built a CLI tool that combines web scraping with LLM personas. Now I can ask Nietzsche what he thinks of Hacker News, or get my skeptical analytics engineer persona to tear apart a vendor blog post. This post shows you how to build faitch: web scraping meets AI characters.