Malcolm Angus

Advising

Most companies are sitting on data worth more than it earns.

I help founders and operating teams close that gap. Ten years of building data products inside companies like Atlassian and Retool, on both the engineering side and the strategy side. I work in short, specific engagements with a deliverable you can act on.

Data moat audit

2 weeks

A straight answer on whether your data is defensible. I run your data estate through the Moat Test, the five questions that separate a moat from a warehouse: what a competitor could recreate, what actually compounds with usage, and where the half-life problems are. You get a written assessment and the shortest credible path to a real loop.

0 to 1 data product sprint

4 to 6 weeks

For teams that know they should "do something with the data" but don't have a first product. We find the decision worth improving, scope the smallest thing that changes behavior, and leave you with a validated wedge and a build plan your existing team can execute.

Ongoing advisory

monthly

A standing cadence for founders and data leaders shipping data products. Roadmap pressure-testing, build-vs-buy calls, hiring help, and an outside voice when the platform instinct needs resisting. Limited slots.

Who this is for

  • Founders whose pitch says "proprietary data" and want it to be true before a diligence team checks.
  • Product and data leaders under pressure to "add AI" who would rather build a loop than a demo.
  • Operating teams with a warehouse full of events and no data product on the roadmap yet.

Start with a conversation

Send a short note on what you're building and where the data question sits. I reply to everything, usually within two days.

Email me