Tinker

End-to-end data science on a drag-and-drop canvas.

A visual workflow tool for data work — closer to n8n than to a notebook.

Most analytics tools weren’t built for data people.

Spreadsheets, notebooks, and BI tools each solve a slice of the job — and leave the rest to glue work.

Excel

Slow and hard to scale.

Speed

Rust and Polars under the hood.

Jupyter & R

Linear notebooks. Hard to share.

Flexibility

Node-edge workflows with exploratory branching.

Power BI

Dashboards with a steep learning curve.

Visuals

Charts and plots built into the board.

What’s on the board

Connect data, explore, visualise, and share — without leaving the canvas.

  • Scout

    Connect Snowflake, Databricks, or a CSV. No separate data pipeline.

  • Explorer

    AI-assisted exploration with branching node workflows.

  • Mailman

    Share node graphs, insights, or dashboards with your team.

  • Math UX

    Calculations shown in LaTeX on the board, not buried in code.

Used in investment research

First built for the public markets team at a Melbourne VC fund.

7h → 15m

Time to run initial analysis on a prospective investment.

3h → instant

Quarterly update process, refreshed from the board.

Built by Daksh

Software engineer for 10+ years. Started coding at 13; by 15 had launched a startup that grew to over 20,000 partners.

Worked data workflows at TasWater and at a Melbourne VC — the same friction across both. Tinker is what was missing.

Get early access

Join the beta if you want to try the canvas.