For more than a decade, Lander Analytics has helped organize one of New York’s most durable data communities

When scheduled jobs become full workflows

Modern security has to verify the software ingredients flowing through the build process

What Fable and Mythos revealed about frontier model adoption, why model routing is becoming practical, and more from the Lander team.

Why multi-process writes may finally stop sending me back to Postgres or folders full of Parquet files

Everyone wants an AI assistant. Here's how to build one that keeps your data where it belongs.

Using ESPN win probability models, the answer is surprisingly close, and probably closer than the exact decimals suggest.

What we learned serving Chronos-2 from an R-friendly forecasting pipeline

How R and Python package installs create software supply chain risk

One Time When R Wasn't a Language for Statistical Computing and Graphics

AI coding agents are becoming useful interns, but teams still need judgment, taste, infrastructure and review before the code is something they can actually run.

We connected 16 repos with markdown files, grep, and zero new infrastructure

The old workflow still wins when it matters

How a prompt engineering trick unlocked agentic AI

The story of how a scouting intern, a data scientist and a draft board full of blue stickers helped bring machine learning into an NFL war room

A cron alternative for a more civilized age

How modern geo stacks handle massive datasets

Use AI to upskill your team, close capability gaps, and create more value

From six hours to seconds: speeding up geospatial queries

The wrong format can 10x your storage costs before analysis even begins