01-projects/newsletter

index

·exploratory-bet·status: exploratory

Newsletter

Overview

Build infrastructure for automated content curation and generation, deployable across multiple niches. The system is the product — individual newsletters are instances.

Potential Niches

Monetization

Sponsorships

Key Insight

Build the curation pipeline once, deploy across niches. Each newsletter is a low-marginal-cost instance of the same infrastructure.

Prior Work

What's Needed


Sanity Check Archive (21 articles)

The founder's original newsletter — a mix of thought leadership, analytics commentary, and data engineering perspective. Published on sc.raydata.co.

Early Issues (E01–E09)

Written 2021, more exploratory and essay-driven. Establishing the voice.

Issue Title Date Theme
E01 [[sc-e01-silly-simple-question|There Is Always a Silly Simple Question]] 2021-03-04 Teaching over solving, patience as a professional skill
E02 [[sc-e02-3ms-of-comprehension|Mysterious to Miraculous: The 3Ms of Comprehension]] 2021-03-10 Framework for understanding data maturity
E03 [[sc-e03-analytics-mixed-bag|Analytics: The Mixed Bag]] 2021-04-03 The state of the analytics profession
E04 [[sc-e04-git-environmentalism|Git Environmentalism: Protect Our Branches]] 2021-04-11 Version control as data engineering discipline
E05 [[sc-e05-analytics-crafting|Analytics Crafting a Way Forward]] 2021-09-25 Analytics as irreducible craft, professionalization
E06 [[sc-e06-open-book-analytics|Open Book Analytics]] 2021-10-12 Bottom-up community building in analytics
E07 [[sc-e07-datas-secret-sauce|Data's Secret Sauce]] 2021-10-20 What makes data teams effective
E08 [[sc-e08-dpim-framework|DPIM Framework]] 2021-11-08 Bundling better infra, people, models, and data
E09 [[sc-e09-one-way-two-way-doors|One-Way or Two-Way Doors]] 2021-11-08 Decision frameworks applied to data

Main Run (000–021)

Written 2021–2023, more structured format with recurring sections. Stronger voice.

Issue Title Date Theme
000 [[sc-000-writing-dag|Writing DAG]] 2021-12-04 Writing as a directed acyclic graph
011 [[sc-011-hi-again|Hi Again, Forgiving Failure, & Loops in DAGs]] 2023-07-27 Return from hiatus, loops in workflows
012 [[sc-012-were-so-back|"We're So Back" — The Analytics Engineering Angle]] 2023-08-03 Analytics engineering momentum
013 [[sc-013-analyzing-in-public|Analyzing in Public]] 2023-08-10 Open analysis as profession-builder
014 [[sc-014-good-bad-ugly-dbt|The Good, The Bad, and The Ugly: dbt Updates]] 2023-08-17 dbt ecosystem commentary
015 [[sc-015-in-the-lab|In the Lab: dbt State Management & Writing Online]] 2023-08-24 Experimenting with dbt and publishing
016 [[sc-016-data-repair-work|Data Repair Work]] 2023-08-31 Eight failure modes in data projects
017 [[sc-017-analytics-arcade|Analytics Arcade: Great Game of Business]] 2023-09-07 Net New MRR as unifying metric — unicorn exit story
018 [[sc-018-getting-weird-with-squarely|Getting Weird with Squarely]] 2023-09-14 Cross-pollination: puzzles meet data
019 [[sc-019-squarelys-squares|Squarely's Squares: Gathering Puzzle Pieces for Growth]] 2023-09-21 Growth loop mechanics for Squarely
020 [[sc-020-analytics-antenna|Analytics Antenna & Good Guy Amazon?]] 2023-10-01 Industry sensing and commentary
021 [[sc-021-advantages-of-going-deep|The Advantages of Going Deep on Architecture]] 2023-10-22 Deep architecture knowledge as career multiplier