Year In Review

Definition

Year In Review coverage in this archive spans 7 posts from Dec 2018 to Dec 2026 and links technical decisions to margin, distribution, and execution durability. The strongest adjacent threads are reflection, ai, and decloud. Recurring title motifs include ai, matures, stopped, and being.

Working claims

  • The posts consistently push for explicit unit economics and practical tradeoffs over narrative hype.
  • Early posts lean on tech and humbled, while newer posts lean on ai and everything as constraints shifted.
  • This topic repeatedly intersects with reflection, ai, and decloud, so design choices here rarely stand alone.

How to apply this

  • Tie roadmap bets to measurable outcomes: cost, throughput, risk reduction, or revenue impact.
  • Start with the newest post to calibrate current constraints, then backtrack to older entries for first principles.
  • When boundary questions appear, cross-read reflection and ai before committing implementation details.

Where teams get burned

  • Treating technical strategy as branding instead of an operating constraint.
  • Running broad experiments without clear stop conditions or budget discipline.
  • Applying guidance from 2018 to 2026 without revisiting assumptions as context changed.

Suggested reading path

References