croft pulls data from APIs and files, transforms it with SQL or TypeScript, and keeps it fresh on a schedule. It all lives in one DuckDB file, every table gets a generated type, and Claude Code can drive it. Free, open source, no Python.
Hey Product Hunt 👋
croft is a data pipeline tool for TypeScript developers.
A typical data stack is several tools glued together: dlt or Airbyte to load, dbt to transform, Airflow or Dagster to schedule, and a warehouse to host it all, mostly in Python and YAML. croft does those jobs in one CLI, in TypeScript:
• Ingest: an ingest() in a .ts file pulls from any API or CSV, incrementally and safe to rerun
• Transform: a .sql file or a TypeScript function per table, with checks that run before anything is saved
• Schedule: schedule: "every hour", and everything downstream updates in order
• Serve: query the tables from any Bun or Node app, typed by table
Everything lives in one DuckDB file on your machine. No server, no account, no warehouse bill.
Two things I'm proud of:
1. Types across SQL and TypeScript. Every table gets a type generated from its real columns. Rename a column in SQL and croft flags the TypeScript that reads it, before anything runs.
2. It's built for agents. Tell Claude Code what you want and it writes the pipeline, while croft checks every step, previews changes without touching your tables, and stops for your OK before anything could lose data.
It's honest about scope: one machine, one DuckDB file. If your team already runs a warehouse with dbt, keep it.
Free and MIT. Try it in five minutes: bun add -g @zabaca/croft, then the Quickstart at croft.zabaca.com/docs/quickstart
I'd love to hear what you'd pipe into it, and what's missing.
About croft on Product Hunt
“Data pipelines in TypeScript, on one DuckDB file”
croft launched on Product Hunt on October 19th, 2026 and earned 71 upvotes and 2 comments, placing #22 on the daily leaderboard. croft pulls data from APIs and files, transforms it with SQL or TypeScript, and keeps it fresh on a schedule. It all lives in one DuckDB file, every table gets a generated type, and Claude Code can drive it. Free, open source, no Python.
On the analytics side, croft competes within Open Source, Developer Tools, GitHub and Data & Analytics — topics that collectively have 637.9k followers on Product Hunt. The dashboard above tracks how croft performed against the three products that launched closest to it on the same day.
Who hunted croft?
croft was hunted by James Lee. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of croft including community comment highlights and product details, visit the product overview.
James Lee