I needed 2,110 municipal contacts. So I built a crawler that refuses to guess.
A public contact list sounds easy... until 2,110 websites, four languages, changing staff, and source evidence get involved. π
A public contact list sounds easy... until 2,110 websites, four languages, changing staff, and source evidence get involved. π
Microsoft Planner has no native backup export, so I built a declarative dlt job that writes complete Graph snapshots to Azure Blob. π
I gave an agent a dependency graph to make it write notes on my GTM containers
Every opencode session leaves a trail in a local SQLite file. dlt turns it into analytics you actually read.
Exit code 137 is dlt's way of saying "your RAM and I need to talk"
Same migration, opposite bets: rebuild as Streamlit code you own, or as Sigma workbooks behind a parity gate.
Three Iceberg GAs in one week advancing the old tradeoff: open format without babysitting a bucket.
MotherDuck shipped agent-native Python pipelines. The obvious thing to run inside one is dlt.
Bring your own model, ditch the subscription.
How to configure Cortex Agent models for all agents at once
Why let a search engine guess what context your model needs? Perplexity's new Search as Code hands the reins to the agent.
The paperclip is back. He works at Pro Juventute, lives in Snowflake, and shows up in both Teams and OpenCode.