srand.info is my personal knowledge base: a collection of projects, technical notes, lessons learned, experiments, and occasional detours. My career and interests have crossed software, infrastructure, photography, automotive work, and independent media.

The categories will evolve, but the purpose is simple: document what I build, preserve what I learn, and share anything that might be useful or interesting to someone else.

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Why Invisible Infrastructure Starts With Data Centers

Archive note, July 2026: This post replaces the earlier proposal-summary article. The full National Geographic proposal now lives on the Invisible Infrastructure project page as the base document for the Data Center category. Invisible Infrastructure should not be treated as a single grant application. The National Geographic proposal gives the project a useful first shape: … Read more

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AI, Software & Infrastructure

A Marketplace Appraisal Tool That Refuses To Autopublish

Archive note, June 2026: This post is based on the Markit project brief and early implementation notes. Markit started with a tempting automation idea: take item photos and turn them into marketplace listings. That sounds straightforward until the object is old, unlabeled, damaged, unusual, collectible, or valuable. Then the risk moves from formatting a listing … Read more

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AI, Software & Infrastructure

The Real Work Is Intake

Archive note, June 2026: This post is based on Markit image-pipeline and user-manual notes. The glamorous part of Markit is the AI appraisal idea. Take photos of an object, identify what it might be, gather evidence, estimate value, and generate listing drafts for marketplaces. That is the part people notice. The less glamorous part is … Read more

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Software & Infrastructure

SPF Is Not Enough

Archive note, April 2026: This post is based on a mail-posture review for Aztexsystems. Sensitive operational details have been omitted. A suspicious email is not automatically evidence that your mail server was compromised. That sounds obvious, but it is easy to skip the boring investigation step when the message looks alarming. A spoofed display name, … Read more

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Honest Analytics When Attribution Is Incomplete

Archive note, April 2026: This post is based on Model Hub measurement-boundary notes and BDC analytics documentation. Analytics dashboards are very good at encouraging overconfidence. A chart shows visits. A campaign shows clicks. A tracked link shows engagement. It is tempting to keep walking the conclusion forward until the dashboard appears to prove revenue, appointments, … Read more

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