← BACK TO PROJECTS

05 INFORMATION SYSTEMS / RESEARCH TOOLING

Lakehouse Signal.

A Databricks-first cloud and data intelligence terminal for public updates, research and project watchlists.

Private source · Public demoENGINEERING CASE STUDYNO CLIENT DATA
Open public demo ↗

01 / CONTEXT

The problem to solve

Relevant cloud and data engineering updates arrive across many publishers and formats, making it easy to lose the connection between news and ongoing projects.

02 / ENGINEERING

From need to system

  • Aggregate public publisher feeds into a focused reading environment.
  • Support project watchlists, topic filtering, source health and briefing workflows.
  • Keep local research notes and source links available for follow-up.
  • Serve the public application through a Netlify Function and a minimal static asset bundle.

03 / DESIGN DECISION

A meaningful choice

Favor attributed source material and deterministic signals over unsupported AI-generated assertions.

04 / EVIDENCE AND LIMITATIONS

What is actually documented

The private repository contains the feed parser, tests and Netlify deployment configuration. A public Netlify deployment is live; source availability and external adoption are not measured.

05 / NEXT VALIDATIONS

How I would strengthen the proof

  • Measure source availability and feed freshness.
  • Add clearer failure-state reporting.
  • Publish a safe video tour.

These are planned validation steps, not already measured results.

Explore more work ↗